- gainRatio() - Method in class weka.classifiers.trees.j48.BinC45Split
-
Returns (C4.5-type) gain ratio for the generated split.
- gainRatio() - Method in class weka.classifiers.trees.j48.C45Split
-
Returns (C4.5-type) gain ratio for the generated split.
- gainRatio(double[][]) - Static method in class weka.core.ContingencyTables
-
Computes gain ratio for contingency table (split on rows).
- GainRatioAttributeEval - Class in weka.attributeSelection
-
GainRatioAttributeEval :
Evaluates the worth of an attribute by measuring the gain ratio with respect
to the class.
GainR(Class, Attribute) = (H(Class) - H(Class | Attribute)) / H(Attribute).
Valid options are:
- GainRatioAttributeEval() - Constructor for class weka.attributeSelection.GainRatioAttributeEval
-
Constructor
- GainRatioSplitCrit - Class in weka.classifiers.trees.j48
-
Class for computing the gain ratio for a given distribution.
- GainRatioSplitCrit() - Constructor for class weka.classifiers.trees.j48.GainRatioSplitCrit
-
- gamma(double) - Static method in class weka.core.Statistics
-
Returns the Gamma function of the argument.
- gammaTipText() - Method in class weka.classifiers.functions.supportVector.RBFKernel
-
Returns the tip text for this property
- GAP - Enum in weka.core.pmml.jaxbbindings
-
Java class for GAP.
- GAUSS - Static variable in class weka.classifiers.lazy.LWL
-
- GAUSSIAN - Static variable in class weka.datagenerators.clusterers.SubspaceCluster
-
cluster type: gaussian
- GAUSSIAN - Static variable in class weka.filters.unsupervised.attribute.RandomProjection
-
distribution type: gaussian
- GaussianConditionalSufficientStats - Class in weka.classifiers.trees.ht
-
Maintains sufficient stats for a Gaussian distribution for a numeric
attribute
- GaussianConditionalSufficientStats() - Constructor for class weka.classifiers.trees.ht.GaussianConditionalSufficientStats
-
- GaussianDistribution - Class in weka.core.pmml.jaxbbindings
-
Java class for GaussianDistribution element declaration.
- GaussianDistribution() - Constructor for class weka.core.pmml.jaxbbindings.GaussianDistribution
-
- GaussianProcesses - Class in weka.classifiers.functions
-
* Implements Gaussian processes for regression without hyperparameter-tuning.
- GaussianProcesses() - Constructor for class weka.classifiers.functions.GaussianProcesses
-
- GE - Static variable in interface weka.core.expressionlanguage.parser.sym
-
- GeneralRegression - Class in weka.classifiers.pmml.consumer
-
Class implementing import of PMML General Regression model.
- GeneralRegression(Element, Instances, MiningSchema) - Constructor for class weka.classifiers.pmml.consumer.GeneralRegression
-
Constructs a GeneralRegression classifier.
- GeneralRegressionModel - Class in weka.core.pmml.jaxbbindings
-
Java class for GeneralRegressionModel element declaration.
- GeneralRegressionModel() - Constructor for class weka.core.pmml.jaxbbindings.GeneralRegressionModel
-
- generate() - Method in class weka.core.Javadoc
-
generates either the plain Javadoc (if no filename specified) or the
updated file (if a filename is specified).
- generate() - Method in class weka.core.ListOptions
-
generates the options string.
- generate() - Method in class weka.core.TestInstances
-
Generates a new dataset
- generate(String) - Method in class weka.core.TestInstances
-
generates a new dataset.
- generateExample() - Method in class weka.datagenerators.classifiers.classification.Agrawal
-
Generates one example of the dataset.
- generateExample() - Method in class weka.datagenerators.classifiers.classification.BayesNet
-
Generates one example of the dataset.
- generateExample() - Method in class weka.datagenerators.classifiers.classification.LED24
-
Generates one example of the dataset.
- generateExample() - Method in class weka.datagenerators.classifiers.classification.RandomRBF
-
Generates one example of the dataset.
- generateExample() - Method in class weka.datagenerators.classifiers.classification.RDG1
-
Generate an example of the dataset dataset.
- generateExample() - Method in class weka.datagenerators.classifiers.regression.Expression
-
Generates one example of the dataset.
- generateExample() - Method in class weka.datagenerators.classifiers.regression.MexicanHat
-
Generates one example of the dataset.
- generateExample() - Method in class weka.datagenerators.clusterers.BIRCHCluster
-
Generate an example of the dataset.
- generateExample() - Method in class weka.datagenerators.clusterers.SubspaceCluster
-
Generate an example of the dataset.
- generateExample() - Method in class weka.datagenerators.DataGenerator
-
Generates one example of the dataset.
- generateExamples() - Method in class weka.datagenerators.classifiers.classification.Agrawal
-
Generates all examples of the dataset.
- generateExamples() - Method in class weka.datagenerators.classifiers.classification.BayesNet
-
Generates all examples of the dataset.
- generateExamples() - Method in class weka.datagenerators.classifiers.classification.LED24
-
Generates all examples of the dataset.
- generateExamples() - Method in class weka.datagenerators.classifiers.classification.RandomRBF
-
Generates all examples of the dataset.
- generateExamples() - Method in class weka.datagenerators.classifiers.classification.RDG1
-
Generate all examples of the dataset.
- generateExamples(int, Random, Instances) - Method in class weka.datagenerators.classifiers.classification.RDG1
-
Generate all examples of the dataset.
- generateExamples() - Method in class weka.datagenerators.classifiers.regression.Expression
-
Generates all examples of the dataset.
- generateExamples() - Method in class weka.datagenerators.classifiers.regression.MexicanHat
-
Generates all examples of the dataset.
- generateExamples() - Method in class weka.datagenerators.clusterers.BIRCHCluster
-
Generate all examples of the dataset.
- generateExamples(Random, Instances) - Method in class weka.datagenerators.clusterers.BIRCHCluster
-
Generate all examples of the dataset.
- generateExamples() - Method in class weka.datagenerators.clusterers.SubspaceCluster
-
Generate all examples of the dataset.
- generateExamples() - Method in class weka.datagenerators.DataGenerator
-
Generates all examples of the dataset.
- generateFinished() - Method in class weka.datagenerators.classifiers.classification.Agrawal
-
Generates a comment string that documentats the data generator.
- generateFinished() - Method in class weka.datagenerators.classifiers.classification.BayesNet
-
Generates a comment string that documentats the data generator.
- generateFinished() - Method in class weka.datagenerators.classifiers.classification.LED24
-
Generates a comment string that documentats the data generator.
- generateFinished() - Method in class weka.datagenerators.classifiers.classification.RandomRBF
-
Generates a comment string that documentats the data generator.
- generateFinished() - Method in class weka.datagenerators.classifiers.classification.RDG1
-
Compiles documentation about the data generation.
- generateFinished() - Method in class weka.datagenerators.classifiers.regression.Expression
-
Generates a comment string that documentats the data generator.
- generateFinished() - Method in class weka.datagenerators.classifiers.regression.MexicanHat
-
Generates a comment string that documentats the data generator.
- generateFinished() - Method in class weka.datagenerators.clusterers.BIRCHCluster
-
Compiles documentation about the data generation after the generation
process
- generateFinished() - Method in class weka.datagenerators.clusterers.SubspaceCluster
-
Compiles documentation about the data generation after the generation
process
- generateFinished() - Method in class weka.datagenerators.DataGenerator
-
Generates a comment string that documentates the data generator.
- generateHelp() - Method in class weka.core.Javadoc
-
generates a string to print as help on the console
- generateHelp() - Method in class weka.core.ListOptions
-
generates a string to print as help on the console
- generateInstances() - Method in class weka.classifiers.bayes.net.BayesNetGenerator
-
GenerateInstances generates random instances sampling from the distribution
represented by the Bayes network structure.
- generateInstances(int[]) - Method in interface weka.gui.boundaryvisualizer.DataGenerator
-
Generate an instance.
- generateInstances(int[]) - Method in class weka.gui.boundaryvisualizer.KDDataGenerator
-
Generates a new instance using one kernel estimator.
- generateInstances() - Method in class weka.gui.explorer.PreprocessPanel
-
sets Instances generated via DataGenerators (pops up a Dialog)
- generateOutput() - Method in class weka.gui.visualize.BMPWriter
-
generates the actual output.
- generateOutput() - Method in class weka.gui.visualize.JPEGWriter
-
generates the actual output.
- generateOutput() - Method in class weka.gui.visualize.PNGWriter
-
generates the actual output.
- generateOutput() - Method in class weka.gui.visualize.PostscriptWriter
-
generates the actual output
- generatePartition(Instances) - Method in class weka.classifiers.meta.Bagging
-
Builds the classifier to generate a partition.
- generatePartition(Instances) - Method in class weka.classifiers.meta.FilteredClassifier
-
Builds the classifier to generate a partition.
- generatePartition(Instances) - Method in class weka.classifiers.meta.RandomCommittee
-
Builds the classifier to generate a partition.
- generatePartition(Instances) - Method in class weka.classifiers.trees.J48
-
Builds the classifier to generate a partition.
- generatePartition(Instances) - Method in class weka.classifiers.trees.RandomTree
-
Builds the classifier to generate a partition.
- generatePartition(Instances) - Method in class weka.classifiers.trees.REPTree
-
Builds the classifier to generate a partition.
- generatePartition(Instances) - Method in interface weka.core.PartitionGenerator
-
Builds the classifier to generate a partition.
- generateRandomNetwork() - Method in class weka.classifiers.bayes.net.BayesNetGenerator
-
Generate random connected Bayesian network with discrete nodes having all
the same cardinality.
- generateRandomNetworkStructure(int, int) - Method in class weka.classifiers.bayes.net.BayesNetGenerator
-
GenerateRandomNetworkStructure generate random connected Bayesian network
- generateRankingTipText() - Method in class weka.attributeSelection.GreedyStepwise
-
Returns the tip text for this property
- generateRankingTipText() - Method in class weka.attributeSelection.Ranker
-
Returns the tip text for this property
- generateRules(double, ArrayList<Hashtable<ItemSet, Integer>>, int) - Method in class weka.associations.AprioriItemSet
-
Generates all rules for an item set.
- generateRules(double, boolean) - Method in class weka.associations.LabeledItemSet
-
Generates rules out of item sets
- generateRulesBruteForce(double, int, ArrayList<Hashtable<ItemSet, Integer>>, int, int, double) - Method in class weka.associations.AprioriItemSet
-
Generates all significant rules for an item set.
- generateRulesBruteForce(FPGrowth.FrequentItemSets, DefaultAssociationRule.METRIC_TYPE, double, int, int, int) - Static method in class weka.associations.FPGrowth
-
Generate all association rules, from the supplied frequet item sets, that
meet a given minimum metric threshold.
- generateRulesTipText() - Method in class weka.classifiers.trees.m5.M5Base
-
Returns the tip text for this property
- generatesOutput() - Method in class weka.classifiers.evaluation.output.prediction.AbstractOutput
-
Returns whether regular output is generated or not.
- generatesOutput() - Method in class weka.classifiers.evaluation.output.prediction.Null
-
Returns always false.
- generateStart() - Method in class weka.datagenerators.classifiers.classification.Agrawal
-
Generates a comment string that documentates the data generator.
- generateStart() - Method in class weka.datagenerators.classifiers.classification.BayesNet
-
Generates a comment string that documentates the data generator.
- generateStart() - Method in class weka.datagenerators.classifiers.classification.LED24
-
Generates a comment string that documentates the data generator.
- generateStart() - Method in class weka.datagenerators.classifiers.classification.RandomRBF
-
Generates a comment string that documentates the data generator.
- generateStart() - Method in class weka.datagenerators.classifiers.classification.RDG1
-
Generates a comment string that documentates the data generator.
- generateStart() - Method in class weka.datagenerators.classifiers.regression.Expression
-
Generates a comment string that documentates the data generator.
- generateStart() - Method in class weka.datagenerators.classifiers.regression.MexicanHat
-
Generates a comment string that documentates the data generator.
- generateStart() - Method in class weka.datagenerators.clusterers.BIRCHCluster
-
Compiles documentation about the data generation before the generation
process
- generateStart() - Method in class weka.datagenerators.clusterers.SubspaceCluster
-
Compiles documentation about the data generation before the generation
process
- generateStart() - Method in class weka.datagenerators.DataGenerator
-
Generates a comment string that documentates the data generator.
- GeneratorPropertyIteratorPanel - Class in weka.gui.experiment
-
This panel controls setting a list of values for an arbitrary resultgenerator
property for an experiment to iterate over.
- GeneratorPropertyIteratorPanel() - Constructor for class weka.gui.experiment.GeneratorPropertyIteratorPanel
-
Creates the property iterator panel initially disabled.
- GeneratorPropertyIteratorPanel(Experiment) - Constructor for class weka.gui.experiment.GeneratorPropertyIteratorPanel
-
Creates the property iterator panel and sets the experiment.
- GenericArrayEditor - Class in weka.gui
-
A PropertyEditor for arrays of objects that themselves have property editors.
- GenericArrayEditor() - Constructor for class weka.gui.GenericArrayEditor
-
- GenericObjectEditor - Class in weka.gui
-
A PropertyEditor for objects.
- GenericObjectEditor() - Constructor for class weka.gui.GenericObjectEditor
-
Default constructor.
- GenericObjectEditor(boolean) - Constructor for class weka.gui.GenericObjectEditor
-
Constructor that allows specifying whether it is possible to change the
class within the editor dialog.
- GenericObjectEditor.CapabilitiesFilterDialog - Class in weka.gui
-
A dialog for selecting Capabilities to look for in the GOE tree.
- GenericObjectEditor.GOEPanel - Class in weka.gui
-
Handles the GUI side of editing values.
- GenericObjectEditor.GOETreeNode - Class in weka.gui
-
A specialized TreeNode for supporting filtering via Capabilities.
- GenericObjectEditor.JTreePopupMenu - Class in weka.gui
-
Creates a popup menu containing a tree that is aware of the screen
dimensions.
- GenericObjectEditorHistory - Class in weka.gui
-
A helper class for maintaining a history of objects selected in the GOE.
- GenericObjectEditorHistory() - Constructor for class weka.gui.GenericObjectEditorHistory
-
Initializes the history.
- GenericObjectEditorHistory.HistorySelectionEvent - Class in weka.gui
-
Event that gets sent when a history item gets selected.
- GenericObjectEditorHistory.HistorySelectionListener - Interface in weka.gui
-
Interface for classes that listen to selections of history items.
- GenericPropertiesCreator - Class in weka.gui
-
This class can generate the properties object that is normally loaded from
the GenericObjectEditor.props
file (= PROPERTY_FILE).
- GenericPropertiesCreator() - Constructor for class weka.gui.GenericPropertiesCreator
-
initializes the creator, locates the props file with the Utils class.
- GenericPropertiesCreator(String) - Constructor for class weka.gui.GenericPropertiesCreator
-
initializes the creator, the given file overrides the props-file search of
the Utils class
- GeneticSearch - Class in weka.classifiers.bayes.net.search.global
-
This Bayes Network learning algorithm uses genetic
search for finding a well scoring Bayes network structure.
- GeneticSearch() - Constructor for class weka.classifiers.bayes.net.search.global.GeneticSearch
-
- GeneticSearch - Class in weka.classifiers.bayes.net.search.local
-
This Bayes Network learning algorithm uses genetic
search for finding a well scoring Bayes network structure.
- GeneticSearch() - Constructor for class weka.classifiers.bayes.net.search.local.GeneticSearch
-
- get(int) - Method in class weka.core.Instances
-
Returns the instance at the given position.
- get(int) - Method in class weka.core.matrix.DoubleVector
-
Gets a single element.
- get(int) - Method in class weka.core.matrix.IntVector
-
Gets the value of an element.
- get(int, int) - Method in class weka.core.matrix.Matrix
-
Get a single element.
- get(int) - Method in class weka.core.PropertyPath.Path
-
returns the element at the given index
- get(int) - Method in class weka.core.Tee
-
returns the specified PrintStream from the list.
- get(String) - Method in class weka.core.xml.MethodHandler
-
returns the stored method for the given property
- get(Class<?>) - Method in class weka.core.xml.MethodHandler
-
returns the stored method for the given class
- get(int) - Method in class weka.gui.CheckBoxList.CheckBoxListModel
-
Returns the element at the specified position in this list.
- get(String, String) - Static method in class weka.gui.experiment.ExperimenterDefaults
-
returns the value for the specified property, if non-existent then the
default value.
- get(String, String) - Static method in class weka.gui.explorer.ExplorerDefaults
-
returns the value for the specified property, if non-existent then the
default value.
- GET_PERSPECTIVE_NAMES_KEY - Static variable in class weka.gui.knowledgeflow.GetPerspectiveNamesGraphicalCommand
-
Command ID
- getAboutPanel() - Method in class weka.gui.PropertySheetPanel
-
Return the panel containing global info and help for the object being
edited.
- getAbsoluteValue() - Method in class weka.core.pmml.jaxbbindings.Coefficients
-
Gets the value of the absoluteValue property.
- getAccu() - Method in class weka.classifiers.rules.JRip.Antd
-
- getAccuRate() - Method in class weka.classifiers.rules.JRip.Antd
-
- getActionListener(JFrame) - Method in interface weka.gui.MainMenuExtension
-
If the extension has a custom ActionListener for the menu item, then it
must be returned here.
- getActivationFunction() - Method in class weka.core.pmml.jaxbbindings.NeuralLayer
-
Gets the value of the activationFunction property.
- getActivationFunction() - Method in class weka.core.pmml.jaxbbindings.NeuralNetwork
-
Gets the value of the activationFunction property.
- getActualIndex(int) - Method in class weka.core.AttributeLocator
-
returns actual index in the Instances object.
- getActualRow(int) - Method in class weka.gui.SortedTableModel
-
Returns the actual underlying row the given visible one represents.
- getActualT1() - Method in class weka.clusterers.Canopy
-
Get the actual value of T1 (which may be different from the initial value
if the heuristic is used)
- getActualT2() - Method in class weka.clusterers.Canopy
-
Get the actual value of T2 (which may be different from the initial value
if the heuristic is used)
- getAcuity() - Method in class weka.clusterers.Cobweb
-
get the acuity value
- getAdditional() - Method in class weka.gui.scripting.event.ScriptExecutionEvent
-
Returns the additional information.
- getAddMatchingEndBlocks() - Method in class weka.gui.scripting.SyntaxDocument
-
Returns whether matching block ends are inserted or not.
- getAddress() - Static method in class weka.core.Copyright
-
returns the address of the owner
- getAdjRSquared() - Method in class weka.core.pmml.jaxbbindings.PredictiveModelQuality
-
Gets the value of the adjRSquared property.
- getAdjustWeights() - Method in class weka.filters.supervised.instance.SpreadSubsample
-
Returns true if instance weights will be adjusted to maintain total weight
per class.
- getADTree() - Method in class weka.classifiers.bayes.BayesNet
-
get ADTree strucrture containing efficient representation of counts.
- getAdvanceDataSetFirst() - Method in class weka.experiment.Experiment
-
Get the value of m_DataSetFirstFirst.
- getAffinity() - Method in class weka.core.pmml.jaxbbindings.AssociationRule
-
Gets the value of the affinity property.
- getAggregate() - Method in class weka.core.pmml.jaxbbindings.DefineFunction
-
Gets the value of the aggregate property.
- getAggregate() - Method in class weka.core.pmml.jaxbbindings.DerivedField
-
Gets the value of the aggregate property.
- getAggregate() - Method in class weka.core.pmml.jaxbbindings.OutputField
-
Gets the value of the aggregate property.
- getAIC() - Method in class weka.core.pmml.jaxbbindings.PredictiveModelQuality
-
Gets the value of the aic property.
- getAICc() - Method in class weka.core.pmml.jaxbbindings.PredictiveModelQuality
-
Gets the value of the aiCc property.
- getAlgorithm() - Method in class weka.core.pmml.jaxbbindings.OutputField
-
Gets the value of the algorithm property.
- getAlgorithmName() - Method in class weka.core.pmml.jaxbbindings.AssociationModel
-
Gets the value of the algorithmName property.
- getAlgorithmName() - Method in class weka.core.pmml.jaxbbindings.BaselineModel
-
Gets the value of the algorithmName property.
- getAlgorithmName() - Method in class weka.core.pmml.jaxbbindings.ClusteringModel
-
Gets the value of the algorithmName property.
- getAlgorithmName() - Method in class weka.core.pmml.jaxbbindings.DecisionTree
-
Gets the value of the algorithmName property.
- getAlgorithmName() - Method in class weka.core.pmml.jaxbbindings.GeneralRegressionModel
-
Gets the value of the algorithmName property.
- getAlgorithmName() - Method in class weka.core.pmml.jaxbbindings.MiningModel
-
Gets the value of the algorithmName property.
- getAlgorithmName() - Method in class weka.core.pmml.jaxbbindings.NaiveBayesModel
-
Gets the value of the algorithmName property.
- getAlgorithmName() - Method in class weka.core.pmml.jaxbbindings.NearestNeighborModel
-
Gets the value of the algorithmName property.
- getAlgorithmName() - Method in class weka.core.pmml.jaxbbindings.NeuralNetwork
-
Gets the value of the algorithmName property.
- getAlgorithmName() - Method in class weka.core.pmml.jaxbbindings.Regression
-
Gets the value of the algorithmName property.
- getAlgorithmName() - Method in class weka.core.pmml.jaxbbindings.RegressionModel
-
Gets the value of the algorithmName property.
- getAlgorithmName() - Method in class weka.core.pmml.jaxbbindings.RuleSetModel
-
Gets the value of the algorithmName property.
- getAlgorithmName() - Method in class weka.core.pmml.jaxbbindings.Scorecard
-
Gets the value of the algorithmName property.
- getAlgorithmName() - Method in class weka.core.pmml.jaxbbindings.SequenceModel
-
Gets the value of the algorithmName property.
- getAlgorithmName() - Method in class weka.core.pmml.jaxbbindings.SupportVectorMachineModel
-
Gets the value of the algorithmName property.
- getAlgorithmName() - Method in class weka.core.pmml.jaxbbindings.TextModel
-
Gets the value of the algorithmName property.
- getAlgorithmName() - Method in class weka.core.pmml.jaxbbindings.TimeSeriesModel
-
Gets the value of the algorithmName property.
- getAlgorithmName() - Method in class weka.core.pmml.jaxbbindings.TreeModel
-
Gets the value of the algorithmName property.
- getAllDependenciesForPackage(Package, Map<String, List<Dependency>>) - Method in class weka.core.packageManagement.DefaultPackageManager
-
Gets a full list of packages (encapsulated in Dependency objects) that are
required by directly and indirectly by the named target package.
- getAllDependenciesForPackage(Package, Map<String, List<Dependency>>) - Method in class weka.core.packageManagement.PackageManager
-
Gets a full list of packages (encapsulated in Dependency objects) that are
required by directly and indirectly by the named target package.
- getAllDependenciesForPackage(Package, Map<String, List<Dependency>>) - Static method in class weka.core.WekaPackageManager
-
Get a list of dependencies for a given package
- getAllEvaluationMetricNames() - Static method in class weka.classifiers.evaluation.Evaluation
-
Utility method to get a list of the names of all built-in and plugin
evaluation metrics
- getAllEvaluationMetricNames() - Static method in class weka.classifiers.Evaluation
-
Utility method to get a list of the names of all built-in and plugin
evaluation metrics
- getAllMetricNames() - Static method in class weka.classifiers.evaluation.EvaluationMetricHelper
-
Get a list of all available evaluation metric names
- getAllowedIndices() - Method in class weka.core.AttributeLocator
-
returns the indices that are allowed to check for the attribute type
- getAllowMultipleTabs() - Method in class weka.gui.beans.KnowledgeFlowApp
-
- getAllowMultipleTabs() - Method in class weka.gui.knowledgeflow.MainKFPerspective
-
Returns true if the perspective is allowing multiple tabs to be open
- getAllowUnclassifiedInstances() - Method in class weka.classifiers.trees.RandomTree
-
Gets whether tree is allowed to abstain from making a prediction.
- getAllPackages(PrintStream...) - Method in class weka.core.packageManagement.DefaultPackageManager
-
Get all packages that the system knows about (i.e.
- getAllPackages(PrintStream...) - Method in class weka.core.packageManagement.PackageManager
-
Get all packages that the system knows about (i.e.
- getAllPackages() - Static method in class weka.core.WekaPackageManager
-
Get a list of all packages
- getAllTheRules() - Method in class weka.associations.Apriori
-
returns all the rules
- getAlpha() - Method in class weka.classifiers.bayes.net.estimate.BayesNetEstimator
-
Get prior used in probability table estimation
- getAlpha() - Method in class weka.core.pmml.jaxbbindings.Level
-
Gets the value of the alpha property.
- getAlternate() - Method in class weka.core.pmml.jaxbbindings.TestDistributions
-
Gets the value of the alternate property.
- getAlternateTargetCategory() - Method in class weka.core.pmml.jaxbbindings.SupportVectorMachine
-
Gets the value of the alternateTargetCategory property.
- getAltitude() - Method in class weka.core.pmml.jaxbbindings.NeuralLayer
-
Gets the value of the altitude property.
- getAltitude() - Method in class weka.core.pmml.jaxbbindings.NeuralNetwork
-
Gets the value of the altitude property.
- getAltitude() - Method in class weka.core.pmml.jaxbbindings.Neuron
-
Gets the value of the altitude property.
- getAmplitude() - Method in class weka.datagenerators.classifiers.regression.MexicanHat
-
Gets the amplitude multiplier.
- getAnimatedIcon() - Method in class weka.gui.beans.BeanVisual
-
Returns the animated icon
- getAnimatedIconPath() - Method in class weka.gui.beans.BeanVisual
-
returns the path for the animated icon
- getAnnotation() - Method in class weka.core.pmml.jaxbbindings.Header
-
Gets the value of the annotation property.
- getAnova() - Method in class weka.core.pmml.jaxbbindings.UnivariateStats
-
Gets the value of the anova property.
- getAnovaRow() - Method in class weka.core.pmml.jaxbbindings.Anova
-
Gets the value of the anovaRow property.
- getAntds() - Method in class weka.classifiers.rules.JRip.RipperRule
-
Return the antecedents
- getAntecedent() - Method in class weka.core.pmml.jaxbbindings.AssociationRule
-
Gets the value of the antecedent property.
- getAnyDistribution() - Method in class weka.core.pmml.jaxbbindings.Alternate
-
Gets the value of the anyDistribution property.
- getAnyDistribution() - Method in class weka.core.pmml.jaxbbindings.Baseline
-
Gets the value of the anyDistribution property.
- getAppend() - Method in class weka.gui.beans.TextSaver
-
- getAppend() - Method in class weka.knowledgeflow.steps.TextSaver
-
get whether the file should be appended to rather than overwritten
- getAppendPredictedProbabilities() - Method in class weka.gui.beans.PredictionAppender
-
Return true if predicted probabilities are to be appended rather than class
value
- getAppendProbabilities() - Method in class weka.knowledgeflow.steps.PredictionAppender
-
Get whether to append probability distributions rather than predicted
classes
- getApplication() - Method in class weka.core.pmml.jaxbbindings.Header
-
Gets the value of the application property.
- getApplicationDefaults() - Method in interface weka.gui.GUIApplication
-
Get the default values of settings for this application
- getApplicationDefaults() - Method in class weka.gui.knowledgeflow.KnowledgeFlowApp
-
Get the default settings for this application
- getApplicationDefaults() - Method in class weka.gui.WorkbenchApp
-
Get the default settings for this application
- getApplicationID() - Method in interface weka.gui.GUIApplication
-
Get the ID of this application - any string unique to this application can
be used
- getApplicationID() - Method in class weka.gui.knowledgeflow.KnowledgeFlowApp
-
Get the ID of this application
- getApplicationID() - Method in class weka.gui.WorkbenchApp
-
Get the ID of this application
- getApplicationName() - Method in interface weka.gui.GUIApplication
-
Get the name of this application
- getApplicationName() - Method in interface weka.gui.GUIChooser.GUIChooserMenuPlugin
-
Get the name to display in title bar of the enclosing JFrame for the
plugin
- getApplicationName() - Method in class weka.gui.knowledgeflow.KnowledgeFlowApp
-
Get the name of this application
- getApplicationName() - Method in class weka.gui.WorkbenchApp
-
Get the name of this application
- getApplicationSettings() - Method in class weka.gui.AbstractGUIApplication
-
Get the current settings for this application
- getApplicationSettings() - Method in interface weka.gui.GUIApplication
-
Get the current settings for this application
- getApplicationSettings() - Method in class weka.gui.knowledgeflow.KnowledgeFlowApp
-
Get the settings for this application
- getApply() - Method in class weka.core.pmml.jaxbbindings.DefineFunction
-
Gets the value of the apply property.
- getApply() - Method in class weka.core.pmml.jaxbbindings.DerivedField
-
Gets the value of the apply property.
- getApply() - Method in class weka.core.pmml.jaxbbindings.OutputField
-
Gets the value of the apply property.
- getArffFile() - Method in class weka.gui.streams.InstanceLoader
-
- getArffFile() - Method in class weka.gui.streams.InstanceSavePanel
-
- getArgs() - Method in class weka.gui.scripting.Script.ScriptThread
-
Returns the commandline args.
- getArray() - Method in class weka.core.matrix.DoubleVector
-
Access the internal one-dimensional array.
- getArray() - Method in class weka.core.matrix.IntVector
-
Access the internal one-dimensional array.
- getArray() - Method in class weka.core.matrix.Matrix
-
Access the internal two-dimensional array.
- getArray() - Method in class weka.core.pmml.jaxbbindings.BoundaryValueMeans
-
Gets the value of the array property.
- getArray() - Method in class weka.core.pmml.jaxbbindings.BoundaryValues
-
Gets the value of the array property.
- getArray() - Method in class weka.core.pmml.jaxbbindings.ClassLabels
-
Gets the value of the array property.
- getArray() - Method in class weka.core.pmml.jaxbbindings.Cluster
-
Gets the value of the array property.
- getArray() - Method in class weka.core.pmml.jaxbbindings.CorrelationFields
-
Gets the value of the array property.
- getArray() - Method in class weka.core.pmml.jaxbbindings.DiscrStats
-
Gets the value of the array property.
- getArray() - Method in class weka.core.pmml.jaxbbindings.MissingValueWeights
-
Gets the value of the array property.
- getArray() - Method in class weka.core.pmml.jaxbbindings.SeasonalityExpoSmooth
-
Gets the value of the array property.
- getArray() - Method in class weka.core.pmml.jaxbbindings.SetPredicate
-
Gets the value of the array property.
- getArray() - Method in class weka.core.pmml.jaxbbindings.SimpleSetPredicate
-
Gets the value of the array property.
- getArray() - Method in class weka.core.pmml.jaxbbindings.TextDictionary
-
Gets the value of the array property.
- getArray() - Method in class weka.core.pmml.jaxbbindings.TimeCycle
-
Gets the value of the array property.
- getArray() - Method in class weka.core.pmml.jaxbbindings.TimeException
-
Gets the value of the array property.
- getArray() - Method in class weka.core.pmml.jaxbbindings.TrendExpoSmooth
-
Gets the value of the array property.
- getArray() - Method in class weka.core.pmml.jaxbbindings.VectorInstance
-
Gets the value of the array property.
- getArray() - Method in class weka.core.pmml.jaxbbindings.XCoordinates
-
Gets the value of the array property.
- getArray() - Method in class weka.core.pmml.jaxbbindings.YCoordinates
-
Gets the value of the array property.
- getArrayClass(Class<?>) - Static method in class weka.core.Utils
-
Returns the basic class of an array class (handles multi-dimensional
arrays).
- getArrayCopy() - Method in class weka.core.matrix.DoubleVector
-
Returns a copy of the DoubleVector usng a double array.
- getArrayCopy() - Method in class weka.core.matrix.IntVector
-
Returns a copy of the internal one-dimensional array.
- getArrayCopy() - Method in class weka.core.matrix.Matrix
-
Copy the internal two-dimensional array.
- getArrayDimensions(Class<?>) - Static method in class weka.core.Utils
-
Returns the dimensions of the given array.
- getArrayDimensions(Object) - Static method in class weka.core.Utils
-
Returns the dimensions of the given array.
- getASCrossvalidationFolds() - Static method in class weka.gui.explorer.ExplorerDefaults
-
returns the default number of folds of the CV in the attribute selection
panel.
- getASEvaluator() - Static method in class weka.gui.explorer.ExplorerDefaults
-
returns the default attribute evalautor (fully configured) for the
attribute selection panel.
- getAsInstance(Instances, Random) - Method in class weka.core.AlgVector
-
Gets the elements of the vector as an instance.
- getASRandomSeed() - Static method in class weka.gui.explorer.ExplorerDefaults
-
returns the default random seed value in the attribute selection panel.
- getASSearch() - Static method in class weka.gui.explorer.ExplorerDefaults
-
returns the default attribute selection search scheme (fully configured)
for the attribute selection panel.
- getAssignments() - Method in class weka.clusterers.SimpleKMeans
-
Gets the assignments for each instance.
- getAssociatedConnections() - Method in class weka.gui.beans.MetaBean
-
- getAssociationModel() - Method in class weka.core.pmml.jaxbbindings.Segment
-
Gets the value of the associationModel property.
- getAssociationModelOrBaselineModelOrClusteringModels() - Method in class weka.core.pmml.jaxbbindings.PMML
-
Gets the value of the associationModelOrBaselineModelOrClusteringModel property.
- getAssociationRules() - Method in class weka.associations.Apriori
-
- getAssociationRules() - Method in interface weka.associations.AssociationRulesProducer
-
Gets the list of mined association rules.
- getAssociationRules() - Method in class weka.associations.FilteredAssociator
-
Gets the list of mined association rules.
- getAssociationRules() - Method in class weka.associations.FPGrowth
-
Gets the list of mined association rules.
- getAssociator() - Method in class weka.associations.CheckAssociator
-
Get the associator being tested
- getAssociator() - Method in class weka.associations.SingleAssociatorEnhancer
-
Get the associator used as the base associator.
- getAssociator() - Method in class weka.gui.beans.Associator
-
Get the associator currently set for this wrapper
- getAssociator() - Static method in class weka.gui.explorer.ExplorerDefaults
-
returns the default associator (fully configured) for the associations
panel.
- getAssociator() - Method in class weka.knowledgeflow.steps.Associator
-
Get the associator to use.
- getASTestMode() - Static method in class weka.gui.explorer.ExplorerDefaults
-
returns the default attribute selection test mode for the attribute
selection panel.
- getAsText() - Method in class weka.gui.beans.EnvironmentField
-
Deprecated.
- getAsText() - Method in class weka.gui.ColorEditor
-
Not representable as a string
- getAsText() - Method in class weka.gui.CostMatrixEditor
-
Some objects can be represented as text, but a cost matrix cannot.
- getAsText() - Method in class weka.gui.EnvironmentField
-
- getAsText() - Method in class weka.gui.GenericArrayEditor
-
Returns null as we don't support getting/setting values as text.
- getAsText() - Method in class weka.gui.GenericObjectEditor
-
Returns null as we don't support getting/setting values as text.
- getAsText() - Method in class weka.gui.PasswordField
-
- getAsText() - Method in class weka.gui.RangeEditor
-
Gets the current value as text.
- getAsText() - Method in class weka.gui.SelectedTagEditor
-
Gets the current value as text.
- getAsText() - Method in class weka.gui.SimpleDateFormatEditor
-
Returns the date format string.
- getAttList_Irr() - Method in class weka.datagenerators.classifiers.classification.RDG1
-
Gets the array that defines which of the attributes are seen to be
irrelevant.
- getAttr() - Method in class weka.classifiers.rules.JRip.Antd
-
- getAttribute() - Method in class weka.associations.Item
-
Get the attribute that this item originates from.
- getAttribute() - Method in class weka.core.pmml.jaxbbindings.Characteristic
-
Gets the value of the attribute property.
- getAttribute() - Method in class weka.knowledgeflow.steps.Sorter.SortRule
-
Get the name or index of the attribute to sort on
- getAttribute1() - Method in class weka.gui.visualize.VisualizePanelEvent
-
- getAttribute2() - Method in class weka.gui.visualize.VisualizePanelEvent
-
- getAttributeAt(int) - Method in class weka.gui.arffviewer.ArffSortedTableModel
-
returns the attribute at the given index, can be NULL if not an attribute
column
- getAttributeAt(int) - Method in class weka.gui.arffviewer.ArffTableModel
-
returns the attribute at the given index, can be NULL if not an attribute
column
- getAttributeCapabilities() - Method in class weka.core.Capabilities
-
returns all attribute capabilities
- getAttributeColumn(String) - Method in class weka.gui.arffviewer.ArffSortedTableModel
-
returns the column of the given attribute name, -1 if not found
- getAttributeColumn(String) - Method in class weka.gui.arffviewer.ArffTableModel
-
returns the column of the given attribute name, -1 if not found
- getAttributeID() - Method in class weka.experiment.ClassifierSplitEvaluator
-
Get the index of Attibute Identifying the instances
- getAttributeIndex() - Method in class weka.classifiers.functions.SimpleLinearRegression
-
Returns the index of the attribute used in the regression.
- getAttributeIndex() - Method in class weka.classifiers.trees.lmt.SimpleLinearRegression
-
Returns the index of the attribute used in the regression.
- getAttributeIndex() - Method in class weka.filters.unsupervised.attribute.Add
-
Get the index of the attribute used.
- getAttributeIndex() - Method in class weka.filters.unsupervised.attribute.AddNoise
-
Get the index of the attribute used.
- getAttributeIndex() - Method in class weka.filters.unsupervised.attribute.AddValues
-
Get the index of the attribute used.
- getAttributeIndex() - Method in class weka.filters.unsupervised.attribute.ChangeDateFormat
-
Gets the index of the attribute converted.
- getAttributeIndex() - Method in class weka.filters.unsupervised.attribute.MakeIndicator
-
Get the index of the attribute used.
- getAttributeIndex() - Method in class weka.filters.unsupervised.attribute.MergeManyValues
-
Get the index of the attribute used.
- getAttributeIndex() - Method in class weka.filters.unsupervised.attribute.MergeTwoValues
-
Get the index of the attribute used.
- getAttributeIndex() - Method in class weka.filters.unsupervised.attribute.SwapValues
-
Get the index of the attribute used.
- getAttributeIndex() - Method in class weka.filters.unsupervised.instance.RemoveFrequentValues
-
Get the index of the attribute used.
- getAttributeIndex() - Method in class weka.filters.unsupervised.instance.RemoveWithValues
-
Get the index of the attribute used.
- getAttributeIndex(int) - Method in class weka.gui.arffviewer.ArffSortedTableModel
-
Returns the attribute index for the given column index.
- getAttributeIndex(int) - Method in class weka.gui.arffviewer.ArffTableModel
-
Returns the attribute index for the given column index.
- getAttributeIndexes() - Method in class weka.filters.unsupervised.attribute.NominalToString
-
Get the index of the attribute used.
- getAttributeIndices() - Method in class weka.core.AttributeLocator
-
Returns the indices of the attributes.
- getAttributeIndices() - Method in class weka.core.converters.DictionarySaver
-
Gets the current range selection.
- getAttributeIndices() - Method in class weka.core.DictionaryBuilder
-
Gets the current range selection.
- getAttributeIndices() - Method in interface weka.core.DistanceFunction
-
Gets the range of attributes used in the calculation of the distance.
- getAttributeIndices() - Method in class weka.core.FilteredDistance
-
Gets the range of attributes used in the calculation of the distance.
- getAttributeIndices() - Method in class weka.core.NormalizableDistance
-
Gets the range of attributes used in the calculation of the distance.
- getAttributeIndices() - Method in class weka.filters.supervised.attribute.Discretize
-
Gets the current range selection
- getAttributeIndices() - Method in class weka.filters.supervised.attribute.MergeNominalValues
-
Get the current range selection.
- getAttributeIndices() - Method in class weka.filters.unsupervised.attribute.AbstractTimeSeries
-
Get the current range selection
- getAttributeIndices() - Method in class weka.filters.unsupervised.attribute.CartesianProduct
-
Gets the current range selection
- getAttributeIndices() - Method in class weka.filters.unsupervised.attribute.Copy
-
Get the current range selection
- getAttributeIndices() - Method in class weka.filters.unsupervised.attribute.DateToNumeric
-
Gets the current range selection
- getAttributeIndices() - Method in class weka.filters.unsupervised.attribute.Discretize
-
Gets the current range selection
- getAttributeIndices() - Method in class weka.filters.unsupervised.attribute.FirstOrder
-
Get the current range selection
- getAttributeIndices() - Method in class weka.filters.unsupervised.attribute.FixedDictionaryStringToWordVector
-
Gets the current range selection.
- getAttributeIndices() - Method in class weka.filters.unsupervised.attribute.InterquartileRange
-
Gets the current range selection
- getAttributeIndices() - Method in class weka.filters.unsupervised.attribute.MergeInfrequentNominalValues
-
Get the current range selection.
- getAttributeIndices() - Method in class weka.filters.unsupervised.attribute.NominalToBinary
-
Gets the current range selection
- getAttributeIndices() - Method in class weka.filters.unsupervised.attribute.NumericCleaner
-
Gets the selection of the columns, e.g., first-last or first-3,5-last
- getAttributeIndices() - Method in class weka.filters.unsupervised.attribute.NumericToBinary
-
Gets the current range selection
- getAttributeIndices() - Method in class weka.filters.unsupervised.attribute.NumericToDate
-
Gets the current range selection
- getAttributeIndices() - Method in class weka.filters.unsupervised.attribute.NumericToNominal
-
Gets the current range selection
- getAttributeIndices() - Method in class weka.filters.unsupervised.attribute.NumericTransform
-
Get the current range selection
- getAttributeIndices() - Method in class weka.filters.unsupervised.attribute.Remove
-
Get the current range selection.
- getAttributeIndices() - Method in class weka.filters.unsupervised.attribute.RenameAttribute
-
Gets the current range selection.
- getAttributeIndices() - Method in class weka.filters.unsupervised.attribute.Reorder
-
Get the current range selection
- getAttributeIndices() - Method in class weka.filters.unsupervised.attribute.ReplaceWithMissingValue
-
Gets the current range selection
- getAttributeIndices() - Method in class weka.filters.unsupervised.attribute.SortLabels
-
Gets the current selected attributes.
- getAttributeIndices() - Method in class weka.filters.unsupervised.attribute.StringToWordVector
-
Gets the current range selection.
- getAttributeName() - Method in class weka.filters.unsupervised.attribute.Add
-
Get the name of the attribute to be created.
- getAttributeName() - Method in class weka.filters.unsupervised.attribute.AddID
-
Get the name of the attribute to be created
- getAttributeNamePrefix() - Method in class weka.core.DictionaryBuilder
-
Get the attribute name prefix.
- getAttributeNamePrefix() - Method in class weka.filters.unsupervised.attribute.FixedDictionaryStringToWordVector
-
Get the attribute name prefix.
- getAttributeNamePrefix() - Method in class weka.filters.unsupervised.attribute.StringToWordVector
-
Get the attribute name prefix.
- getAttributeRange() - Method in class weka.filters.unsupervised.attribute.StringToNominal
-
Get the range of indices of the attributes used.
- getAttributes() - Method in class weka.classifiers.evaluation.output.prediction.AbstractOutput
-
Returns the range of attributes to output.
- getAttributes() - Method in class weka.datagenerators.clusterers.SubspaceClusterDefinition
-
- getAttributes() - Method in class weka.filters.unsupervised.attribute.ReplaceMissingWithUserConstant
-
Get the list of attributes to consider for replacing missing values
- getAttributes() - Method in class weka.gui.arffviewer.ArffPanel
-
returns a list with the attributes
- getAttributeSelectionMethod() - Method in class weka.classifiers.functions.LinearRegression
-
Gets the method used to select attributes for use in the linear regression.
- getAttributeSpecs() - Method in class weka.filters.unsupervised.attribute.AddUserFields
-
Get the list of attribute specs to use to create the new attributes.
- getAttributesToOperateOn() - Method in class weka.filters.unsupervised.attribute.OrdinalToNumeric
-
Get the attributes to operate on
- getAttributeType() - Method in class weka.filters.unsupervised.attribute.Add
-
Gets the type of attribute to generate.
- getAttributeType() - Method in class weka.filters.unsupervised.attribute.RemoveType
-
Gets the attribute type to be deleted by the filter.
- getAttrIndexRange() - Method in class weka.datagenerators.clusterers.SubspaceClusterDefinition
-
returns the attribute range(s).
- getAttrValue() - Method in class weka.classifiers.rules.JRip.Antd
-
- getAttsToApplyTo() - Method in class weka.gui.beans.SubstringLabelerRules.SubstringLabelerMatchRule
-
Get the attributes to apply the rule to
- getAttsToApplyTo() - Method in class weka.gui.beans.SubstringReplacerRules.SubstringReplacerMatchRule
-
Get the attributes to apply the rule to
- getAutoBuild() - Method in class weka.classifiers.functions.MultilayerPerceptron
-
- getAutoKeyGeneration() - Method in class weka.core.converters.DatabaseSaver
-
Gets whether or not a primary key will be generated automatically.
- getAvailableCompatiblePackages() - Static method in class weka.core.WekaPackageManager
-
Get a list of the most recent version of all available packages (i.e.
- getAvailableLookAndFeelClasses() - Static method in class weka.gui.LookAndFeel
-
Get a list of fully qualified class names of available look and feels
- getAvailablePackages() - Method in class weka.core.packageManagement.DefaultPackageManager
-
Get a list of packages that are not currently installed.
- getAvailablePackages() - Method in class weka.core.packageManagement.PackageManager
-
Get a list of packages that are not currently installed.
- getAvailablePackages() - Static method in class weka.core.WekaPackageManager
-
Get a list of all available packages (i.e.
- getAverage(int) - Method in class weka.experiment.ResultMatrix
-
returns the average of the mean at the given position, if the position is
valid, otherwise 0.
- getAverageDocLength() - Method in class weka.core.DictionaryBuilder
-
Get the average document length to use when normalizing
- getAverageInstancesPerSecond() - Method in class weka.gui.beans.StreamThroughput
-
Get the average instances per second
- getAvgNumberOfItemsPerTA() - Method in class weka.core.pmml.jaxbbindings.AssociationModel
-
Gets the value of the avgNumberOfItemsPerTA property.
- getAvgNumberOfItemsPerTransaction() - Method in class weka.core.pmml.jaxbbindings.SequenceModel
-
Gets the value of the avgNumberOfItemsPerTransaction property.
- getAvgNumberOfTAsPerTAGroup() - Method in class weka.core.pmml.jaxbbindings.SequenceModel
-
Gets the value of the avgNumberOfTAsPerTAGroup property.
- getBackground() - Method in class weka.gui.visualize.BMPWriter
-
returns the current background color.
- getBackground() - Method in class weka.gui.visualize.JPEGWriter
-
returns the current background color.
- getBackground() - Method in class weka.gui.visualize.PNGWriter
-
returns the current background color.
- getBackground() - Method in class weka.gui.visualize.PostscriptGraphics
-
- getBackgroundColor() - Method in class weka.gui.scripting.SyntaxDocument
-
Returns the background color.
- getBackup() - Method in class weka.gui.GenericObjectEditor
-
Returns the backup object (may be null if there is no backup.
- getBagSizePercent() - Method in class weka.classifiers.meta.Bagging
-
Gets the size of each bag, as a percentage of the training set size.
- getBalanceClass() - Method in class weka.datagenerators.classifiers.classification.Agrawal
-
Gets whether the class is balanced.
- getBallSplitter() - Method in class weka.core.neighboursearch.balltrees.TopDownConstructor
-
Returns the BallSplitter algorithm set that would be used by the TopDown
BallTree constructor.
- getBallTreeConstructor() - Method in class weka.core.neighboursearch.BallTree
-
Returns the BallTreeConstructor currently in use.
- getBase() - Method in class weka.core.neighboursearch.CoverTree
-
Returns the base in use for expansion constant.
- getBaseExperiment() - Method in class weka.experiment.RemoteExperiment
-
Get the base experiment used by this remote experiment
- getBaseForSampling() - Method in class weka.knowledgeflow.steps.BoundaryPlotter
-
Get the base for sampling
- getBaseline() - Method in class weka.core.pmml.jaxbbindings.TestDistributions
-
Gets the value of the baseline property.
- getBaselineCell() - Method in class weka.core.pmml.jaxbbindings.BaseCumHazardTables
-
Gets the value of the baselineCell property.
- getBaselineCell() - Method in class weka.core.pmml.jaxbbindings.BaselineStratum
-
Gets the value of the baselineCell property.
- getBaselineMethod() - Method in class weka.core.pmml.jaxbbindings.Scorecard
-
Gets the value of the baselineMethod property.
- getBaselineModel() - Method in class weka.core.pmml.jaxbbindings.Segment
-
Gets the value of the baselineModel property.
- getBaselineScore() - Method in class weka.core.pmml.jaxbbindings.Characteristic
-
Gets the value of the baselineScore property.
- getBaselineScore() - Method in class weka.core.pmml.jaxbbindings.Scorecard
-
Gets the value of the baselineScore property.
- getBaselineStrataVariable() - Method in class weka.core.pmml.jaxbbindings.GeneralRegressionModel
-
Gets the value of the baselineStrataVariable property.
- getBaselineStratum() - Method in class weka.core.pmml.jaxbbindings.BaseCumHazardTables
-
Gets the value of the baselineStratum property.
- getBaseSystemDependency() - Method in class weka.core.packageManagement.DefaultPackage
-
Gets the dependency on the base system that this package requires.
- getBaseSystemDependency() - Method in class weka.core.packageManagement.Package
-
Gets the dependency on the base system that this package requires.
- getBaseSystemName() - Method in class weka.core.packageManagement.PackageManager
-
Get the name of the main software system for which we manage packages.
- getBaseSystemVersion() - Method in class weka.core.packageManagement.PackageManager
-
Get the current installed version of the main system for which we manage
packages.
- getBatchSize() - Method in class weka.classifiers.AbstractClassifier
-
Get the preferred batch size for batch prediction.
- getBatchSize() - Method in class weka.classifiers.meta.AttributeSelectedClassifier
-
Gets the preferred batch size from the base learner if it implements
BatchPredictor.
- getBatchSize() - Method in class weka.classifiers.meta.Bagging
-
Gets the preferred batch size from the base learner if it implements
BatchPredictor.
- getBatchSize() - Method in class weka.classifiers.meta.CostSensitiveClassifier
-
Gets the preferred batch size from the base learner if it implements
BatchPredictor.
- getBatchSize() - Method in class weka.classifiers.meta.FilteredClassifier
-
Gets the preferred batch size from the base learner if it implements
BatchPredictor.
- getBatchSize() - Method in class weka.classifiers.meta.RandomCommittee
-
Gets the preferred batch size from the base learner if it implements
BatchPredictor.
- getBatchSize() - Method in class weka.classifiers.meta.RandomSubSpace
-
Gets the preferred batch size from the base learner if it implements
BatchPredictor.
- getBatchSize() - Method in interface weka.core.BatchPredictor
-
Get the batch size to use.
- getBayesInput() - Method in class weka.core.pmml.jaxbbindings.BayesInputs
-
Gets the value of the bayesInput property.
- getBean() - Method in class weka.gui.beans.BeanInstance
-
Gets the bean encapsulated in this instance
- getBeanContext() - Method in class weka.gui.beans.AbstractDataSource
-
Return the bean context (if any) that this bean is embedded in
- getBeanContext() - Method in class weka.gui.beans.CostBenefitAnalysis
-
- getBeanContext() - Method in class weka.gui.beans.DataVisualizer
-
Return the bean context (if any) that this bean is embedded in
- getBeanContext() - Method in class weka.gui.beans.GraphViewer
-
Return the bean context (if any) that this bean is embedded in
- getBeanContext() - Method in class weka.gui.beans.ModelPerformanceChart
-
Return the bean context (if any) that this bean is embedded in
- getBeanContext() - Method in class weka.gui.beans.TextViewer
-
Return the bean context (if any) that this bean is embedded in
- getBeanDescriptor() - Method in class weka.filters.unsupervised.attribute.AddUserFieldsBeanInfo
-
Get the bean descriptor for this bean
- getBeanDescriptor() - Method in class weka.gui.beans.AssociatorBeanInfo
-
Get the bean descriptor for this bean
- getBeanDescriptor() - Method in class weka.gui.beans.AttributeSummarizerBeanInfo
-
Get the bean descriptor for this bean
- getBeanDescriptor() - Method in class weka.gui.beans.ClassAssignerBeanInfo
-
- getBeanDescriptor() - Method in class weka.gui.beans.ClassifierBeanInfo
-
Get the bean descriptor for this bean
- getBeanDescriptor() - Method in class weka.gui.beans.ClassifierPerformanceEvaluatorBeanInfo
-
Get the bean descriptor for this bean
- getBeanDescriptor() - Method in class weka.gui.beans.ClassValuePickerBeanInfo
-
- getBeanDescriptor() - Method in class weka.gui.beans.ClustererBeanInfo
-
Get the bean descriptor for this bean
- getBeanDescriptor() - Method in class weka.gui.beans.CrossValidationFoldMakerBeanInfo
-
Return the bean descriptor for this bean
- getBeanDescriptor() - Method in class weka.gui.beans.DataVisualizerBeanInfo
-
Get the bean descriptor for this bean
- getBeanDescriptor() - Method in class weka.gui.beans.FilterBeanInfo
-
Get the bean descriptor for this bean
- getBeanDescriptor() - Method in class weka.gui.beans.FlowByExpressionBeanInfo
-
Get the bean descriptor for this bean
- getBeanDescriptor() - Method in class weka.gui.beans.ImageSaverBeanInfo
-
Get the bean descriptor for this bean
- getBeanDescriptor() - Method in class weka.gui.beans.IncrementalClassifierEvaluatorBeanInfo
-
Return the bean descriptor for this bean
- getBeanDescriptor() - Method in class weka.gui.beans.JoinBeanInfo
-
Get the bean descriptor for this bean
- getBeanDescriptor() - Method in class weka.gui.beans.LoaderBeanInfo
-
Get the bean descriptor for this bean
- getBeanDescriptor() - Method in class weka.gui.beans.ModelPerformanceChartBeanInfo
-
Get the bean descriptor for this bean
- getBeanDescriptor() - Method in class weka.gui.beans.NoteBeanInfo
-
- getBeanDescriptor() - Method in class weka.gui.beans.PredictionAppenderBeanInfo
-
Return the bean descriptor for this bean
- getBeanDescriptor() - Method in class weka.gui.beans.SaverBeanInfo
-
Get the bean descriptor for this bean
- getBeanDescriptor() - Method in class weka.gui.beans.SerializedModelSaverBeanInfo
-
Get the bean descriptor for this bean
- getBeanDescriptor() - Method in class weka.gui.beans.SorterBeanInfo
-
Get the bean descriptor for this bean
- getBeanDescriptor() - Method in class weka.gui.beans.StripChartBeanInfo
-
Get the bean descriptor for this bean
- getBeanDescriptor() - Method in class weka.gui.beans.SubstringLabelerBeanInfo
-
Get the bean descriptor for this bean
- getBeanDescriptor() - Method in class weka.gui.beans.SubstringReplacerBeanInfo
-
Get the bean descriptor for this bean
- getBeanDescriptor() - Method in class weka.gui.beans.TextSaverBeanInfo
-
Get BeanDescriptor for this bean
- getBeanDescriptor() - Method in class weka.gui.beans.TrainTestSplitMakerBeanInfo
-
Get the bean descriptor for this bean
- getBeanInfoInputs() - Method in class weka.gui.beans.MetaBean
-
- getBeanInfoOutputs() - Method in class weka.gui.beans.MetaBean
-
- getBeanInfoSubFlow() - Method in class weka.gui.beans.MetaBean
-
- getBeanInstances(Integer...) - Static method in class weka.gui.beans.BeanInstance
-
Return the list of displayed beans
- getBeanLayout(int) - Method in class weka.gui.beans.KnowledgeFlowApp.MainKFPerspective
-
- getBeansInInputs() - Method in class weka.gui.beans.MetaBean
-
Return all the beans in the inputs
- getBeansInOutputs() - Method in class weka.gui.beans.MetaBean
-
Return all the beans in the outputs
- getBeansInSubFlow() - Method in class weka.gui.beans.MetaBean
-
Return all the beans in the sub flow
- getBestClassifierIndex() - Method in class weka.classifiers.meta.MultiScheme
-
Get the index of the classifier that was determined as best during
cross-validation.
- getBestClassifierOptions() - Method in class weka.classifiers.meta.CVParameterSelection
-
Returns (a copy of) the best options found for the classifier.
- getBestFit() - Method in class weka.core.pmml.jaxbbindings.TimeSeriesModel
-
Gets the value of the bestFit property.
- getBeta() - Method in class weka.core.pmml.jaxbbindings.PCell
-
Gets the value of the beta property.
- getBias() - Method in class weka.classifiers.BVDecompose
-
Get the calculated bias squared
- getBias() - Method in class weka.core.pmml.jaxbbindings.Neuron
-
Gets the value of the bias property.
- getBiasToUniformClass() - Method in class weka.filters.supervised.instance.Resample
-
Gets the bias towards a uniform class.
- getBIC() - Method in class weka.core.pmml.jaxbbindings.PredictiveModelQuality
-
Gets the value of the bic property.
- getBIFFile() - Method in class weka.classifiers.bayes.BayesNet
-
Get name of network in BIF file to compare with
- getBIFFile() - Method in class weka.classifiers.bayes.net.search.fixed.FromFile
-
Get name of network in BIF file to read structure from
- getBIFHeader() - Method in class weka.classifiers.bayes.BayesNet
-
- getBinarizeNumericAttributes() - Method in class weka.attributeSelection.InfoGainAttributeEval
-
get whether numeric attributes are just being binarized.
- getBinaryAttributesNominal() - Method in class weka.filters.supervised.attribute.NominalToBinary
-
Gets if binary attributes are to be treated as nominal ones.
- getBinaryAttributesNominal() - Method in class weka.filters.unsupervised.attribute.NominalToBinary
-
Gets if binary attributes are to be treated as nominal ones.
- getBinarySimilarity() - Method in class weka.core.pmml.jaxbbindings.ComparisonMeasure
-
Gets the value of the binarySimilarity property.
- getBinarySplits() - Method in class weka.classifiers.rules.PART
-
Get the value of binarySplits.
- getBinarySplits() - Method in class weka.classifiers.trees.J48
-
Get the value of binarySplits.
- getBinRangePrecision() - Method in class weka.filters.supervised.attribute.Discretize
-
Get the precision for bin boundaries.
- getBinRangePrecision() - Method in class weka.filters.unsupervised.attribute.Discretize
-
Get the precision for bin boundaries.
- getBinRangesString(int) - Method in class weka.filters.supervised.attribute.Discretize
-
Gets the bin ranges string for an attribute
- getBinRangesString(int) - Method in class weka.filters.unsupervised.attribute.Discretize
-
Gets the bin ranges string for an attribute
- getBins() - Method in class weka.filters.unsupervised.attribute.Discretize
-
Gets the number of bins numeric attributes will be divided into
- getBins() - Method in class weka.filters.unsupervised.attribute.PKIDiscretize
-
Ignored
- getBinValue() - Method in class weka.core.pmml.jaxbbindings.DiscretizeBin
-
Gets the value of the binValue property.
- getBlockEnd() - Method in class weka.gui.scripting.SyntaxDocument
-
Returns the end of a block.
- getBlockOnLastFold() - Method in class weka.gui.beans.Classifier
-
Gets whether we are blocking on the last fold of the last run rather than
rejecting any further data until all processing has been completed.
- getBlockStart() - Method in class weka.gui.scripting.SyntaxDocument
-
Returns the start of a block.
- getBooleanCols() - Method in class weka.datagenerators.clusterers.SubspaceCluster
-
returns the range of boolean attributes.
- getBooleanOperator() - Method in class weka.core.pmml.jaxbbindings.CompoundPredicate
-
Gets the value of the booleanOperator property.
- getBooleanOperator() - Method in class weka.core.pmml.jaxbbindings.SimpleSetPredicate
-
Gets the value of the booleanOperator property.
- getBorderInsets(Component) - Method in class weka.gui.beans.ShadowBorder
-
Returns a new Insets instance where the top and left are 1,
the bottom and right fields are the border width + 1.
- getBorderInsets(Component, Insets) - Method in class weka.gui.beans.ShadowBorder
-
Reinitializes the insets
parameter with this ShadowBorder's
current Insets.
- getBorderInsets(Component) - Method in class weka.gui.knowledgeflow.ShadowBorder
-
Returns a new Insets instance where the top and left are 1, the bottom and
right fields are the border width + 1.
- getBorderInsets(Component, Insets) - Method in class weka.gui.knowledgeflow.ShadowBorder
-
Reinitialies the insets
parameter with this ShadowBorder's
current Insets.
- getBoundaryValueMeans() - Method in class weka.core.pmml.jaxbbindings.LiftGraph
-
Gets the value of the boundaryValueMeans property.
- getBoundaryValues() - Method in class weka.core.pmml.jaxbbindings.LiftGraph
-
Gets the value of the boundaryValues property.
- getBoundaryValues() - Method in class weka.core.pmml.jaxbbindings.ROCGraph
-
Gets the value of the boundaryValues property.
- getBreakTiesRandomly() - Method in class weka.classifiers.trees.RandomForest
-
Get whether to break ties randomly.
- getBreakTiesRandomly() - Method in class weka.classifiers.trees.RandomTree
-
Get whether to break ties randomly.
- getBuffer() - Method in class weka.classifiers.evaluation.output.prediction.AbstractOutput
-
Returns the current buffer.
- getBufferSize() - Method in class weka.core.converters.CSVLoader
-
Get the buffer size to use - i.e.
- getBufferSize() - Method in class weka.gui.beans.Sorter
-
Get the size of the in-memory buffer
- getBufferSize() - Method in class weka.knowledgeflow.steps.Sorter
-
Get the size of the in-memory buffer
- getBuildCalibrationModels() - Method in class weka.classifiers.functions.SMO
-
Get the value of buildCalibrationModels.
- getBuilder() - Method in class weka.core.xml.XMLDocument
-
returns the DocumentBuilder.
- getBuildRegressionTree() - Method in class weka.classifiers.trees.m5.M5Base
-
Get the value of regressionTree.
- getBuiltInMetricNames() - Static method in class weka.classifiers.evaluation.EvaluationMetricHelper
-
Get a list of built-in metric names
- getBuiltinTemplateDescriptions() - Method in class weka.gui.knowledgeflow.TemplateManager
-
Get descriptions for the built-in knowledge flow templates
- getBuiltinTemplateFlow(String) - Method in class weka.gui.knowledgeflow.TemplateManager
-
Get the built-in template flow corresponding to the description
- getBusinessProblem() - Method in class weka.core.pmml.jaxbbindings.Decisions
-
Gets the value of the businessProblem property.
- getC() - Method in class weka.classifiers.functions.SMO
-
Get the value of C.
- getC() - Method in class weka.classifiers.functions.SMOreg
-
Get the value of C.
- getC00Parameter() - Method in class weka.core.pmml.jaxbbindings.BinarySimilarity
-
Gets the value of the c00Parameter property.
- getC01Parameter() - Method in class weka.core.pmml.jaxbbindings.BinarySimilarity
-
Gets the value of the c01Parameter property.
- getC10Parameter() - Method in class weka.core.pmml.jaxbbindings.BinarySimilarity
-
Gets the value of the c10Parameter property.
- getC11Parameter() - Method in class weka.core.pmml.jaxbbindings.BinarySimilarity
-
Gets the value of the c11Parameter property.
- getCacheHits() - Method in class weka.classifiers.functions.supportVector.RegOptimizer
-
return the number of kernel cache hits
- getCacheKeyName() - Method in class weka.experiment.DatabaseResultListener
-
Get the value of CacheKeyName.
- getCacheSize() - Method in class weka.classifiers.functions.supportVector.CachedKernel
-
Gets the size of the cache
- getCacheSize() - Method in class weka.classifiers.functions.supportVector.StringKernel
-
Gets the size of the cache
- getCacheValues(double) - Method in class weka.classifiers.lazy.kstar.KStarCache
-
Returns the values in the cache mapped by the specified key
- getCalcOutOfBag() - Method in class weka.classifiers.meta.Bagging
-
Get whether the out of bag error is calculated.
- getCalculatedNumToSelect() - Method in class weka.attributeSelection.GreedyStepwise
-
Gets the calculated number of attributes to retain.
- getCalculatedNumToSelect() - Method in interface weka.attributeSelection.RankedOutputSearch
-
Gets the calculated number of attributes to retain.
- getCalculatedNumToSelect() - Method in class weka.attributeSelection.Ranker
-
Gets the calculated number to select.
- getCalculateStdDevs() - Method in class weka.experiment.AveragingResultProducer
-
Get the value of CalculateStdDevs.
- getCalibrator() - Method in class weka.classifiers.functions.SMO
-
Returns the calibrator to use
- getCanChangeClassInDialog() - Method in class weka.gui.GenericObjectEditor
-
Returns whether the user can change the class in the dialog.
- getCanopies() - Method in class weka.clusterers.Canopy
-
Get the canopies (cluster centers).
- getCanopyMaxNumCanopiesToHoldInMemory() - Method in class weka.clusterers.SimpleKMeans
-
Get the maximum number of candidate canopies to retain in memory during
training.
- getCanopyMinimumCanopyDensity() - Method in class weka.clusterers.SimpleKMeans
-
Get the minimum T2-based density below which a canopy will be pruned during
periodic pruning.
- getCanopyPeriodicPruningRate() - Method in class weka.clusterers.SimpleKMeans
-
Get the how often to prune low density canopies during training (if using
canopy clustering)
- getCanopyT1() - Method in class weka.clusterers.SimpleKMeans
-
Get the t1 radius to use when canopy clustering is being used as start
points and/or to reduce the number of distance calcs
- getCanopyT2() - Method in class weka.clusterers.SimpleKMeans
-
Get the t2 radius to use when canopy clustering is being used as start
points and/or to reduce the number of distance calcs
- getCapabilities() - Method in class weka.associations.AbstractAssociator
-
Returns the Capabilities of this associator.
- getCapabilities() - Method in class weka.associations.Apriori
-
Returns default capabilities of the classifier.
- getCapabilities() - Method in interface weka.associations.Associator
-
Returns the Capabilities of this associator.
- getCapabilities() - Method in class weka.associations.FilteredAssociator
-
Returns default capabilities of the associator.
- getCapabilities() - Method in class weka.associations.FPGrowth
-
Returns default capabilities of the classifier.
- getCapabilities() - Method in class weka.associations.SingleAssociatorEnhancer
-
Returns default capabilities of the base associator.
- getCapabilities() - Method in class weka.attributeSelection.ASEvaluation
-
Returns the capabilities of this evaluator.
- getCapabilities() - Method in class weka.attributeSelection.CfsSubsetEval
-
Returns the capabilities of this evaluator.
- getCapabilities() - Method in class weka.attributeSelection.ClassifierAttributeEval
-
Returns the capabilities of this evaluator.
- getCapabilities() - Method in class weka.attributeSelection.ClassifierSubsetEval
-
Returns the capabilities of this evaluator.
- getCapabilities() - Method in class weka.attributeSelection.CorrelationAttributeEval
-
Returns the capabilities of this evaluator.
- getCapabilities() - Method in class weka.attributeSelection.GainRatioAttributeEval
-
Returns the capabilities of this evaluator.
- getCapabilities() - Method in class weka.attributeSelection.InfoGainAttributeEval
-
Returns the capabilities of this evaluator.
- getCapabilities() - Method in class weka.attributeSelection.OneRAttributeEval
-
Returns the capabilities of this evaluator.
- getCapabilities() - Method in class weka.attributeSelection.PrincipalComponents
-
Returns the capabilities of this evaluator.
- getCapabilities() - Method in class weka.attributeSelection.ReliefFAttributeEval
-
Returns the capabilities of this evaluator.
- getCapabilities() - Method in class weka.attributeSelection.SymmetricalUncertAttributeEval
-
Returns the capabilities of this evaluator.
- getCapabilities() - Method in class weka.attributeSelection.WrapperSubsetEval
-
Returns the capabilities of this evaluator.
- getCapabilities() - Method in class weka.classifiers.AbstractClassifier
-
Returns the Capabilities of this classifier.
- getCapabilities() - Method in class weka.classifiers.bayes.BayesNet
-
Returns default capabilities of the classifier.
- getCapabilities() - Method in class weka.classifiers.bayes.NaiveBayes
-
Returns default capabilities of the classifier.
- getCapabilities() - Method in class weka.classifiers.bayes.NaiveBayesMultinomial
-
Returns default capabilities of the classifier.
- getCapabilities() - Method in class weka.classifiers.bayes.NaiveBayesMultinomialText
-
Returns default capabilities of the classifier.
- getCapabilities() - Method in interface weka.classifiers.Classifier
-
Returns the Capabilities of this classifier.
- getCapabilities() - Method in class weka.classifiers.functions.GaussianProcesses
-
Returns default capabilities of the classifier.
- getCapabilities() - Method in class weka.classifiers.functions.LinearRegression
-
Returns default capabilities of the classifier.
- getCapabilities() - Method in class weka.classifiers.functions.Logistic
-
Returns default capabilities of the classifier.
- getCapabilities() - Method in class weka.classifiers.functions.MultilayerPerceptron
-
Returns default capabilities of the classifier.
- getCapabilities() - Method in class weka.classifiers.functions.SGD
-
Returns default capabilities of the classifier.
- getCapabilities() - Method in class weka.classifiers.functions.SGDText
-
Returns default capabilities of the classifier.
- getCapabilities() - Method in class weka.classifiers.functions.SimpleLinearRegression
-
Returns default capabilities of the classifier.
- getCapabilities() - Method in class weka.classifiers.functions.SimpleLogistic
-
Returns default capabilities of the classifier.
- getCapabilities() - Method in class weka.classifiers.functions.SMO
-
Returns default capabilities of the classifier.
- getCapabilities() - Method in class weka.classifiers.functions.SMOreg
-
Returns default capabilities of the classifier.
- getCapabilities() - Method in class weka.classifiers.functions.supportVector.Kernel
-
Returns the Capabilities of this kernel.
- getCapabilities() - Method in class weka.classifiers.functions.supportVector.PolyKernel
-
Returns the Capabilities of this kernel.
- getCapabilities() - Method in class weka.classifiers.functions.supportVector.PrecomputedKernelMatrixKernel
-
Returns the Capabilities of this kernel.
- getCapabilities() - Method in class weka.classifiers.functions.supportVector.Puk
-
Returns the Capabilities of this kernel.
- getCapabilities() - Method in class weka.classifiers.functions.supportVector.RBFKernel
-
Returns the Capabilities of this kernel.
- getCapabilities() - Method in class weka.classifiers.functions.supportVector.StringKernel
-
Returns the Capabilities of this kernel.
- getCapabilities() - Method in class weka.classifiers.functions.VotedPerceptron
-
Returns default capabilities of the classifier.
- getCapabilities() - Method in class weka.classifiers.lazy.IBk
-
Returns default capabilities of the classifier.
- getCapabilities() - Method in class weka.classifiers.lazy.KStar
-
Returns default capabilities of the classifier.
- getCapabilities() - Method in class weka.classifiers.lazy.LWL
-
Returns default capabilities of the classifier.
- getCapabilities() - Method in class weka.classifiers.meta.AdaBoostM1
-
Returns default capabilities of the classifier.
- getCapabilities() - Method in class weka.classifiers.meta.AdditiveRegression
-
Returns default capabilities of the classifier.
- getCapabilities() - Method in class weka.classifiers.meta.AttributeSelectedClassifier
-
Returns default capabilities of the classifier.
- getCapabilities() - Method in class weka.classifiers.meta.ClassificationViaRegression
-
Returns default capabilities of the classifier.
- getCapabilities() - Method in class weka.classifiers.meta.CostSensitiveClassifier
-
Returns default capabilities of the classifier.
- getCapabilities() - Method in class weka.classifiers.meta.CVParameterSelection
-
Returns default capabilities of the classifier.
- getCapabilities() - Method in class weka.classifiers.meta.FilteredClassifier
-
Returns default capabilities of the classifier.
- getCapabilities() - Method in class weka.classifiers.meta.IterativeClassifierOptimizer
-
Returns default capabilities of the base classifier.
- getCapabilities() - Method in class weka.classifiers.meta.LogitBoost
-
Returns default capabilities of the classifier.
- getCapabilities() - Method in class weka.classifiers.meta.MultiClassClassifier
-
Returns default capabilities of the classifier.
- getCapabilities() - Method in class weka.classifiers.meta.RegressionByDiscretization
-
Returns default capabilities of the classifier.
- getCapabilities() - Method in class weka.classifiers.meta.Stacking
-
Returns combined capabilities of the base classifiers, i.e., the
capabilities all of them have in common.
- getCapabilities() - Method in class weka.classifiers.meta.Vote
-
Returns default capabilities of the classifier.
- getCapabilities() - Method in class weka.classifiers.misc.InputMappedClassifier
-
Returns default capabilities of the classifier.
- getCapabilities() - Method in class weka.classifiers.misc.SerializedClassifier
-
Returns default capabilities of the base classifier.
- getCapabilities() - Method in class weka.classifiers.MultipleClassifiersCombiner
-
Returns combined capabilities of the base classifiers, i.e., the
capabilities all of them have in common.
- getCapabilities() - Method in class weka.classifiers.rules.DecisionTable
-
Returns default capabilities of the classifier.
- getCapabilities() - Method in class weka.classifiers.rules.JRip
-
Returns default capabilities of the classifier.
- getCapabilities() - Method in class weka.classifiers.rules.OneR
-
Returns default capabilities of the classifier.
- getCapabilities() - Method in class weka.classifiers.rules.PART
-
Returns default capabilities of the classifier.
- getCapabilities() - Method in class weka.classifiers.rules.ZeroR
-
Returns default capabilities of the classifier.
- getCapabilities() - Method in class weka.classifiers.SingleClassifierEnhancer
-
Returns default capabilities of the base classifier.
- getCapabilities() - Method in class weka.classifiers.trees.DecisionStump
-
Returns default capabilities of the classifier.
- getCapabilities() - Method in class weka.classifiers.trees.HoeffdingTree
-
Returns default capabilities of the classifier.
- getCapabilities() - Method in class weka.classifiers.trees.j48.ClassifierTree
-
Returns default capabilities of the classifier tree.
- getCapabilities() - Method in class weka.classifiers.trees.J48
-
Returns default capabilities of the classifier.
- getCapabilities() - Method in class weka.classifiers.trees.LMT
-
Returns default capabilities of the classifier.
- getCapabilities() - Method in class weka.classifiers.trees.m5.M5Base
-
Returns default capabilities of the classifier, i.e., of LinearRegression.
- getCapabilities() - Method in class weka.classifiers.trees.RandomForest
-
Returns default capabilities of the base classifier.
- getCapabilities() - Method in class weka.classifiers.trees.RandomTree
-
Returns default capabilities of the classifier.
- getCapabilities() - Method in class weka.classifiers.trees.REPTree
-
Returns default capabilities of the classifier.
- getCapabilities() - Method in class weka.clusterers.AbstractClusterer
-
Returns the Capabilities of this clusterer.
- getCapabilities() - Method in class weka.clusterers.Canopy
-
Returns default capabilities of the clusterer.
- getCapabilities() - Method in interface weka.clusterers.Clusterer
-
Returns the Capabilities of this clusterer.
- getCapabilities() - Method in class weka.clusterers.Cobweb
-
Returns default capabilities of the clusterer.
- getCapabilities() - Method in class weka.clusterers.EM
-
Returns default capabilities of the clusterer (i.e., the ones of
SimpleKMeans).
- getCapabilities() - Method in class weka.clusterers.FarthestFirst
-
Returns default capabilities of the clusterer.
- getCapabilities() - Method in class weka.clusterers.FilteredClusterer
-
Returns default capabilities of the clusterer.
- getCapabilities() - Method in class weka.clusterers.HierarchicalClusterer
-
- getCapabilities() - Method in class weka.clusterers.MakeDensityBasedClusterer
-
Returns default capabilities of the clusterer (i.e., of the wrapper
clusterer).
- getCapabilities() - Method in class weka.clusterers.SimpleKMeans
-
Returns default capabilities of the clusterer.
- getCapabilities() - Method in class weka.clusterers.SingleClustererEnhancer
-
Returns default capabilities of the clusterer.
- getCapabilities() - Method in interface weka.core.CapabilitiesHandler
-
Returns the capabilities of this object.
- getCapabilities() - Method in class weka.core.converters.AbstractSaver
-
Returns the Capabilities of this saver.
- getCapabilities() - Method in class weka.core.converters.ArffSaver
-
Returns the Capabilities of this saver.
- getCapabilities() - Method in class weka.core.converters.C45Saver
-
Returns the Capabilities of this saver.
- getCapabilities() - Method in class weka.core.converters.CSVSaver
-
Returns the Capabilities of this saver.
- getCapabilities() - Method in class weka.core.converters.DatabaseSaver
-
Returns the Capabilities of this saver.
- getCapabilities() - Method in class weka.core.converters.DictionarySaver
-
Returns the Capabilities of this saver.
- getCapabilities() - Method in class weka.core.converters.JSONSaver
-
Returns the Capabilities of this saver.
- getCapabilities() - Method in class weka.core.converters.LibSVMSaver
-
Returns the Capabilities of this saver.
- getCapabilities() - Method in class weka.core.converters.MatlabSaver
-
Returns the Capabilities of this saver.
- getCapabilities() - Method in class weka.core.converters.SerializedInstancesSaver
-
Returns the Capabilities of this saver.
- getCapabilities() - Method in class weka.core.converters.SVMLightSaver
-
Returns the Capabilities of this saver.
- getCapabilities() - Method in class weka.core.converters.XRFFSaver
-
Returns the Capabilities of this saver.
- getCapabilities() - Method in class weka.core.FindWithCapabilities
-
The capabilities to search for.
- getCapabilities() - Method in class weka.core.neighboursearch.FilteredNeighbourSearch
-
Returns default capabilities of the classifier.
- getCapabilities() - Method in class weka.estimators.DiscreteEstimator
-
Returns default capabilities of the classifier.
- getCapabilities() - Method in class weka.estimators.Estimator
-
Returns the Capabilities of this Estimator.
- getCapabilities() - Method in class weka.estimators.KernelEstimator
-
Returns default capabilities of the classifier.
- getCapabilities() - Method in class weka.estimators.MahalanobisEstimator
-
Returns default capabilities of the classifier.
- getCapabilities() - Method in class weka.estimators.NormalEstimator
-
Returns default capabilities of the classifier.
- getCapabilities() - Method in class weka.estimators.PoissonEstimator
-
Returns default capabilities of the classifier.
- getCapabilities() - Method in class weka.filters.AllFilter
-
Returns the Capabilities of this filter.
- getCapabilities() - Method in class weka.filters.Filter
-
Returns the Capabilities of this filter.
- getCapabilities(Instances) - Method in class weka.filters.Filter
-
Returns the Capabilities of this filter, customized based on the data.
- getCapabilities() - Method in class weka.filters.MultiFilter
-
Returns the Capabilities of this filter.
- getCapabilities() - Method in class weka.filters.RenameRelation
-
Returns the Capabilities of this filter.
- getCapabilities() - Method in class weka.filters.supervised.attribute.AddClassification
-
Returns the Capabilities of this filter.
- getCapabilities() - Method in class weka.filters.supervised.attribute.AttributeSelection
-
Returns the Capabilities of this filter.
- getCapabilities() - Method in class weka.filters.supervised.attribute.ClassConditionalProbabilities
-
Returns the Capabilities of this filter.
- getCapabilities() - Method in class weka.filters.supervised.attribute.ClassOrder
-
Returns the Capabilities of this filter.
- getCapabilities() - Method in class weka.filters.supervised.attribute.Discretize
-
Returns the Capabilities of this filter.
- getCapabilities() - Method in class weka.filters.supervised.attribute.MergeNominalValues
-
Returns the Capabilities of this filter.
- getCapabilities() - Method in class weka.filters.supervised.attribute.NominalToBinary
-
Returns the Capabilities of this filter.
- getCapabilities() - Method in class weka.filters.supervised.attribute.PartitionMembership
-
Returns the Capabilities of this filter.
- getCapabilities() - Method in class weka.filters.supervised.instance.ClassBalancer
-
Returns the Capabilities of this filter.
- getCapabilities() - Method in class weka.filters.supervised.instance.Resample
-
Returns the Capabilities of this filter.
- getCapabilities() - Method in class weka.filters.supervised.instance.SpreadSubsample
-
Returns the Capabilities of this filter.
- getCapabilities() - Method in class weka.filters.supervised.instance.StratifiedRemoveFolds
-
Returns the Capabilities of this filter.
- getCapabilities() - Method in class weka.filters.unsupervised.attribute.Add
-
Returns the Capabilities of this filter.
- getCapabilities(Instances) - Method in class weka.filters.unsupervised.attribute.AddCluster
-
Returns the Capabilities of this filter, makes sure that the class is never
set (for the clusterer).
- getCapabilities() - Method in class weka.filters.unsupervised.attribute.AddCluster
-
Returns the Capabilities of this filter.
- getCapabilities() - Method in class weka.filters.unsupervised.attribute.AddExpression
-
Returns the Capabilities of this filter.
- getCapabilities() - Method in class weka.filters.unsupervised.attribute.AddID
-
Returns the Capabilities of this filter.
- getCapabilities() - Method in class weka.filters.unsupervised.attribute.AddNoise
-
Returns the Capabilities of this filter.
- getCapabilities() - Method in class weka.filters.unsupervised.attribute.AddUserFields
-
Returns the Capabilities of this filter.
- getCapabilities() - Method in class weka.filters.unsupervised.attribute.AddValues
-
Returns the Capabilities of this filter.
- getCapabilities() - Method in class weka.filters.unsupervised.attribute.CartesianProduct
-
Returns the Capabilities of this filter.
- getCapabilities() - Method in class weka.filters.unsupervised.attribute.Center
-
Returns the Capabilities of this filter.
- getCapabilities() - Method in class weka.filters.unsupervised.attribute.ChangeDateFormat
-
Returns the Capabilities of this filter.
- getCapabilities() - Method in class weka.filters.unsupervised.attribute.ClassAssigner
-
Returns the Capabilities of this filter.
- getCapabilities() - Method in class weka.filters.unsupervised.attribute.ClusterMembership
-
Returns the Capabilities of this filter.
- getCapabilities(Instances) - Method in class weka.filters.unsupervised.attribute.ClusterMembership
-
Returns the Capabilities of this filter, makes sure that the class is never
set (for the clusterer).
- getCapabilities() - Method in class weka.filters.unsupervised.attribute.Copy
-
Returns the Capabilities of this filter.
- getCapabilities() - Method in class weka.filters.unsupervised.attribute.DateToNumeric
-
Returns the Capabilities of this filter.
- getCapabilities() - Method in class weka.filters.unsupervised.attribute.Discretize
-
Returns the Capabilities of this filter.
- getCapabilities() - Method in class weka.filters.unsupervised.attribute.FirstOrder
-
Returns the Capabilities of this filter.
- getCapabilities() - Method in class weka.filters.unsupervised.attribute.FixedDictionaryStringToWordVector
-
Returns the Capabilities of this filter.
- getCapabilities() - Method in class weka.filters.unsupervised.attribute.InterquartileRange
-
Returns the Capabilities of this filter.
- getCapabilities() - Method in class weka.filters.unsupervised.attribute.KernelFilter
-
Returns the Capabilities of this filter.
- getCapabilities() - Method in class weka.filters.unsupervised.attribute.MakeIndicator
-
Returns the Capabilities of this filter.
- getCapabilities() - Method in class weka.filters.unsupervised.attribute.MathExpression
-
Returns the Capabilities of this filter.
- getCapabilities() - Method in class weka.filters.unsupervised.attribute.MergeInfrequentNominalValues
-
Returns the Capabilities of this filter.
- getCapabilities() - Method in class weka.filters.unsupervised.attribute.MergeManyValues
-
Returns the Capabilities of this filter.
- getCapabilities() - Method in class weka.filters.unsupervised.attribute.MergeTwoValues
-
Returns the Capabilities of this filter.
- getCapabilities() - Method in class weka.filters.unsupervised.attribute.NominalToBinary
-
Returns the Capabilities of this filter.
- getCapabilities() - Method in class weka.filters.unsupervised.attribute.NominalToString
-
Returns the Capabilities of this filter.
- getCapabilities() - Method in class weka.filters.unsupervised.attribute.Normalize
-
Returns the Capabilities of this filter.
- getCapabilities() - Method in class weka.filters.unsupervised.attribute.NumericCleaner
-
Returns the Capabilities of this filter.
- getCapabilities() - Method in class weka.filters.unsupervised.attribute.NumericToBinary
-
Returns the Capabilities of this filter.
- getCapabilities() - Method in class weka.filters.unsupervised.attribute.NumericToDate
-
Returns the Capabilities of this filter.
- getCapabilities() - Method in class weka.filters.unsupervised.attribute.NumericToNominal
-
Returns the Capabilities of this filter.
- getCapabilities() - Method in class weka.filters.unsupervised.attribute.NumericTransform
-
Returns the Capabilities of this filter.
- getCapabilities() - Method in class weka.filters.unsupervised.attribute.Obfuscate
-
Returns the Capabilities of this filter.
- getCapabilities() - Method in class weka.filters.unsupervised.attribute.OrdinalToNumeric
-
Returns the Capabilities of this filter.
- getCapabilities() - Method in class weka.filters.unsupervised.attribute.PrincipalComponents
-
Returns the capabilities of this evaluator.
- getCapabilities() - Method in class weka.filters.unsupervised.attribute.RandomProjection
-
Returns the Capabilities of this filter.
- getCapabilities() - Method in class weka.filters.unsupervised.attribute.RandomSubset
-
Returns the Capabilities of this filter.
- getCapabilities() - Method in class weka.filters.unsupervised.attribute.Remove
-
Returns the Capabilities of this filter.
- getCapabilities() - Method in class weka.filters.unsupervised.attribute.RemoveByName
-
Returns the Capabilities of this filter.
- getCapabilities() - Method in class weka.filters.unsupervised.attribute.RemoveType
-
Returns the Capabilities of this filter.
- getCapabilities() - Method in class weka.filters.unsupervised.attribute.RemoveUseless
-
Returns the Capabilities of this filter.
- getCapabilities() - Method in class weka.filters.unsupervised.attribute.RenameAttribute
-
Returns the Capabilities of this filter.
- getCapabilities() - Method in class weka.filters.unsupervised.attribute.RenameNominalValues
-
Returns the Capabilities of this filter.
- getCapabilities() - Method in class weka.filters.unsupervised.attribute.Reorder
-
Returns the Capabilities of this filter.
- getCapabilities() - Method in class weka.filters.unsupervised.attribute.ReplaceMissingValues
-
Returns the Capabilities of this filter.
- getCapabilities() - Method in class weka.filters.unsupervised.attribute.ReplaceMissingWithUserConstant
-
- getCapabilities() - Method in class weka.filters.unsupervised.attribute.ReplaceWithMissingValue
-
Returns the Capabilities of this filter.
- getCapabilities() - Method in class weka.filters.unsupervised.attribute.SortLabels
-
Returns the Capabilities of this filter.
- getCapabilities() - Method in class weka.filters.unsupervised.attribute.Standardize
-
Returns the Capabilities of this filter.
- getCapabilities() - Method in class weka.filters.unsupervised.attribute.StringToNominal
-
Returns the Capabilities of this filter.
- getCapabilities() - Method in class weka.filters.unsupervised.attribute.StringToWordVector
-
Returns the Capabilities of this filter.
- getCapabilities() - Method in class weka.filters.unsupervised.attribute.SwapValues
-
Returns the Capabilities of this filter.
- getCapabilities() - Method in class weka.filters.unsupervised.attribute.TimeSeriesDelta
-
Returns the Capabilities of this filter.
- getCapabilities() - Method in class weka.filters.unsupervised.attribute.TimeSeriesTranslate
-
Returns the Capabilities of this filter.
- getCapabilities() - Method in class weka.filters.unsupervised.attribute.Transpose
-
Returns the Capabilities of this filter.
- getCapabilities() - Method in class weka.filters.unsupervised.instance.NonSparseToSparse
-
Returns the Capabilities of this filter.
- getCapabilities() - Method in class weka.filters.unsupervised.instance.Randomize
-
Returns the Capabilities of this filter.
- getCapabilities() - Method in class weka.filters.unsupervised.instance.RemoveDuplicates
-
Returns the Capabilities of this filter.
- getCapabilities() - Method in class weka.filters.unsupervised.instance.RemoveFolds
-
Returns the Capabilities of this filter.
- getCapabilities() - Method in class weka.filters.unsupervised.instance.RemoveFrequentValues
-
Returns the Capabilities of this filter.
- getCapabilities() - Method in class weka.filters.unsupervised.instance.RemoveMisclassified
-
Returns the Capabilities of this filter.
- getCapabilities() - Method in class weka.filters.unsupervised.instance.RemovePercentage
-
Returns the Capabilities of this filter.
- getCapabilities() - Method in class weka.filters.unsupervised.instance.RemoveRange
-
Returns the Capabilities of this filter.
- getCapabilities() - Method in class weka.filters.unsupervised.instance.RemoveWithValues
-
Returns the Capabilities of this filter.
- getCapabilities() - Method in class weka.filters.unsupervised.instance.Resample
-
Returns the Capabilities of this filter.
- getCapabilities() - Method in class weka.filters.unsupervised.instance.ReservoirSample
-
Returns the Capabilities of this filter.
- getCapabilities() - Method in class weka.filters.unsupervised.instance.SparseToNonSparse
-
Returns the Capabilities of this filter.
- getCapabilities() - Method in class weka.filters.unsupervised.instance.SubsetByExpression
-
Returns the Capabilities of this filter.
- getCapabilities() - Method in class weka.gui.GenericObjectEditor.CapabilitiesFilterDialog
-
returns the currently selected capabilities.
- getCapabilitiesFilter() - Method in class weka.gui.ConverterFileChooser
-
returns the capabilities filter for the savers, can be null if all are
listed.
- getCapabilitiesFilter() - Method in class weka.gui.GenericObjectEditor
-
Returns the current Capabilities filter, can be null.
- getCar() - Method in class weka.associations.Apriori
-
Gets whether class association ruels are mined
- getCardinality(int) - Method in class weka.classifiers.bayes.BayesNet
-
get number of values a node can take
- getCardinality() - Method in class weka.core.pmml.jaxbbindings.Counts
-
Gets the value of the cardinality property.
- getCardinality() - Method in class weka.datagenerators.classifiers.classification.BayesNet
-
Gets the cardinality of the attributes (incl class attribute)
- getCardinalityOfParents() - Method in class weka.classifiers.bayes.net.ParentSet
-
returns cardinality of parents
- getCaseSensitive() - Method in class weka.gui.scripting.SyntaxDocument
-
Returns whether blanks are used instead of tabs.
- getCastInteger() - Method in class weka.core.pmml.jaxbbindings.Target
-
Gets the value of the castInteger property.
- getCategoricalPredictor() - Method in class weka.core.pmml.jaxbbindings.RegressionTable
-
Gets the value of the categoricalPredictor property.
- getCategoricalScoringMethod() - Method in class weka.core.pmml.jaxbbindings.NearestNeighborModel
-
Gets the value of the categoricalScoringMethod property.
- getCategories() - Method in class weka.core.pmml.jaxbbindings.Predictor
-
Gets the value of the categories property.
- getCategory() - Method in class weka.core.pmml.jaxbbindings.Categories
-
Gets the value of the category property.
- getCategory() - Method in class weka.core.pmml.jaxbbindings.MultivariateStat
-
Gets the value of the category property.
- getCell(int, int) - Method in class weka.classifiers.CostMatrix
-
Return the contents of a particular cell.
- getCellEditor(int, int) - Method in class weka.gui.arffviewer.ArffTable
-
returns the cell editor for the given cell
- getCells() - Method in class weka.gui.sql.ResultSetHelper
-
returns an 2-dimensional array with the content of the resultset, the first
dimension is the row, the second the column (i.e., getCells()[y][x]).
- getCenter() - Method in class weka.gui.treevisualizer.Node
-
Get the value of center.
- getCenterData() - Method in class weka.attributeSelection.PrincipalComponents
-
Get whether to center (rather than standardize) the data.
- getCenterData() - Method in class weka.filters.unsupervised.attribute.PrincipalComponents
-
Get whether to center (rather than standardize) the data.
- getChangeInWeights() - Method in class weka.classifiers.functions.neural.NeuralNode
-
call this function to get the chnage in weights array.
- getChar() - Method in class weka.core.Trie.TrieNode
-
returns the stored character
- getCharacteristic() - Method in class weka.core.pmml.jaxbbindings.Characteristics
-
Gets the value of the characteristic property.
- getCharSet() - Method in class weka.core.converters.TextDirectoryLoader
-
Get the character set to use when reading text files.
- getChartingEvalWindowSize() - Method in class weka.gui.beans.IncrementalClassifierEvaluator
-
Get whether to compute evaluation for charting over a fixed sized window of
the most recent instances (rather than the whole stream).
- getChartingEvalWindowSize() - Method in class weka.knowledgeflow.steps.IncrementalClassifierEvaluator
-
Get whether to compute evaluation for charting over a fixed sized window of
the most recent instances (rather than the whole stream).
- getChebychev() - Method in class weka.core.pmml.jaxbbindings.ComparisonMeasure
-
Gets the value of the chebychev property.
- getChecked(int) - Method in class weka.gui.CheckBoxList.CheckBoxListModel
-
returns the checked state of the element at the given index
- getChecked(int) - Method in class weka.gui.CheckBoxList
-
returns the checked state of the element at the given index
- getCheckedIndices() - Method in class weka.gui.CheckBoxList
-
returns an array with the indices of all checked items
- getCheckErrorRate() - Method in class weka.classifiers.rules.JRip
-
Gets whether to check for error rate is in stopping criterion
- getChecksTurnedOff() - Method in class weka.classifiers.functions.SMO
-
Returns whether the checks are turned off or not.
- getChecksTurnedOff() - Method in class weka.classifiers.functions.supportVector.Kernel
-
- getChecksTurnedOff() - Method in class weka.filters.unsupervised.attribute.KernelFilter
-
Returns whether the checks are turned off or not.
- getChild(String) - Method in class weka.core.json.JSONNode
-
Returns the child with the given name.
- getChild(Object, int) - Method in class weka.gui.knowledgeflow.InvisibleTreeModel
-
- getChild(int) - Method in class weka.gui.treevisualizer.Node
-
Get the Edge for the child number 'i'.
- getChildAt(int, boolean) - Method in class weka.gui.knowledgeflow.InvisibleNode
-
Get a child node
- getChildCount(boolean) - Method in class weka.gui.knowledgeflow.InvisibleNode
-
Get the number of children nodes
- getChildCount(Object) - Method in class weka.gui.knowledgeflow.InvisibleTreeModel
-
- getChildField() - Method in class weka.core.pmml.jaxbbindings.ChildParent
-
Gets the value of the childField property.
- getChildParent() - Method in class weka.core.pmml.jaxbbindings.Taxonomy
-
Gets the value of the childParent property.
- getChildren(int) - Method in class weka.classifiers.bayes.net.EditableBayesNet
-
return list of children of a node
- getChildTags(Node) - Static method in class weka.core.xml.XMLDocument
-
returns all non tag-children from the given node.
- getChildTags(Node, String) - Static method in class weka.core.xml.XMLDocument
-
returns all non tag-children from the given node.
- getChiSquareValue() - Method in class weka.core.pmml.jaxbbindings.MultivariateStat
-
Gets the value of the chiSquareValue property.
- getChooseClassPopupMenu() - Method in class weka.gui.GenericObjectEditor
-
Returns a popup menu that allows the user to change the class of object.
- getCindex() - Method in class weka.gui.visualize.PlotData2D
-
Get the currently set colouring index of the data
- getCIndex() - Method in class weka.gui.visualize.VisualizePanel
-
Get the index of the attribute selected for coloring
- getCityBlock() - Method in class weka.core.pmml.jaxbbindings.ComparisonMeasure
-
Gets the value of the cityBlock property.
- getClassAttribute() - Method in class weka.gui.beans.ThresholdDataEvent
-
Return the class attribute for which the threshold data was generated
for.
- getClassCapabilities() - Method in class weka.core.Capabilities
-
returns all class capabilities
- getClassColumn() - Method in class weka.gui.beans.ClassAssigner
-
- getClassColumn() - Method in class weka.knowledgeflow.steps.ClassAssigner
-
Get the class column to use
- getClassCounts() - Method in class weka.filters.supervised.attribute.ClassOrder
-
Get the class distribution of the sorted class values.
- getClassEstimator() - Method in class weka.classifiers.bayes.NaiveBayes
-
Get the class estimator.
- getClassesToClusters() - Method in class weka.clusterers.ClusterEvaluation
-
Return the array (ordered by cluster number) of minimum error class to
cluster mappings
- getClassFlag() - Method in class weka.datagenerators.ClusterGenerator
-
Gets the class flag.
- getClassForIRStatistics() - Method in class weka.experiment.ClassifierSplitEvaluator
-
Get the value of ClassForIRStatistics.
- getClassificationMethod() - Method in class weka.core.pmml.jaxbbindings.SupportVectorMachineModel
-
Gets the value of the classificationMethod property.
- getClassificationOutputFormatter() - Method in class weka.gui.explorer.ClassifierPanel
-
Get the formatter for classifcation output
- getClassifier() - Method in class weka.attributeSelection.ClassifierAttributeEval
-
Get the classifier used as the base learner.
- getClassifier() - Method in class weka.attributeSelection.ClassifierSubsetEval
-
Get the classifier used as the base learner.
- getClassifier() - Method in class weka.attributeSelection.WrapperSubsetEval
-
Get the classifier used as the base learner.
- getClassifier() - Method in class weka.classifiers.BVDecompose
-
Gets the name of the classifier being analysed
- getClassifier() - Method in class weka.classifiers.BVDecomposeSegCVSub
-
Gets the name of the classifier being analysed
- getClassifier() - Method in class weka.classifiers.CheckClassifier
-
Get the classifier used as the classifier
- getClassifier() - Method in class weka.classifiers.CheckSource
-
Gets the classifier being used for the tests, can be null.
- getClassifier(int) - Method in class weka.classifiers.meta.MultiScheme
-
Gets a single classifier from the set of available classifiers.
- getClassifier(int) - Method in class weka.classifiers.MultipleClassifiersCombiner
-
Gets a single classifier from the set of available classifiers.
- getClassifier() - Method in class weka.classifiers.SingleClassifierEnhancer
-
Get the classifier used as the base learner.
- getClassifier() - Method in class weka.experiment.ClassifierSplitEvaluator
-
Get the value of Classifier.
- getClassifier() - Method in class weka.experiment.RegressionSplitEvaluator
-
Get the value of Classifier.
- getClassifier() - Method in class weka.filters.supervised.attribute.AddClassification
-
Gets the classifier used by the filter.
- getClassifier() - Method in class weka.filters.unsupervised.instance.RemoveMisclassified
-
Gets the classifier used by the filter.
- getClassifier() - Method in class weka.gui.beans.BatchClassifierEvent
-
Get the classifier
- getClassifier() - Method in class weka.gui.beans.Classifier
-
Get the currently trained classifier.
- getClassifier() - Method in class weka.gui.beans.IncrementalClassifierEvent
-
Get the classifier
- getClassifier() - Method in class weka.gui.explorer.ClassifierErrorsPlotInstances
-
Returns the currently set classifier.
- getClassifier() - Method in class weka.gui.explorer.ClassifierPanel
-
Get the currently configured classifier from the GenericObjectEditor
- getClassifier() - Static method in class weka.gui.explorer.ExplorerDefaults
-
returns the default classifier (fully configured) for the classify panel.
- getClassifier() - Method in class weka.knowledgeflow.steps.Classifier
-
Get the classifier to train
- getClassifierCollectPredictionsForEvaluation() - Static method in class weka.gui.explorer.ExplorerDefaults
-
returns whether the predictions of the classifier are collected for calculating performance statistics
such as AUROC.
- getClassifierCostSensitiveEval() - Static method in class weka.gui.explorer.ExplorerDefaults
-
returns whether the evaluation of the classifier is done cost-sensitively.
- getClassifierCrossvalidationFolds() - Static method in class weka.gui.explorer.ExplorerDefaults
-
returns the default number of folds of the CV in the classify panel.
- getClassifierErrorsMaximumPlotSizeNumeric() - Static method in class weka.gui.explorer.ExplorerDefaults
-
Returns the maximum size in pixels for plots of plotting classifier errors
of numeric attributes.
- getClassifierErrorsMinimumPlotSizeNumeric() - Static method in class weka.gui.explorer.ExplorerDefaults
-
Returns the minimum size in pixels for plots of plotting classifier errors
of numeric attributes.
- getClassifierErrorsPlotInstances() - Static method in class weka.gui.explorer.ExplorerDefaults
-
Returns an instance of the class used for generating plot instances for
displaying the classifier errors.
- getClassifierOutputAdditionalAttributes() - Static method in class weka.gui.explorer.ExplorerDefaults
-
returns the string with the additional indices to output alongside the
predictions.
- getClassifierOutputConfusionMatrix() - Static method in class weka.gui.explorer.ExplorerDefaults
-
returns whether the confusion matrix for the classifier is output.
- getClassifierOutputEntropyEvalMeasures() - Static method in class weka.gui.explorer.ExplorerDefaults
-
returns whether entropy-based evaluation meastures of the classifier are
output.
- getClassifierOutputModel() - Static method in class weka.gui.explorer.ExplorerDefaults
-
returns whether the built model is output.
- getClassifierOutputModelsForTrainingSplits() - Static method in class weka.gui.explorer.ExplorerDefaults
-
returns whether the models built for the training set are output
- getClassifierOutputPerClassStats() - Static method in class weka.gui.explorer.ExplorerDefaults
-
returns whether additional per-class stats of the classifier are output.
- getClassifierOutputPredictions() - Static method in class weka.gui.explorer.ExplorerDefaults
-
returns whether the predictions of the classifier are output as well.
- getClassifierOutputSourceCode() - Static method in class weka.gui.explorer.ExplorerDefaults
-
returns whether the source of a sourcable Classifier is output in the
classify tab.
- getClassifierPercentageSplit() - Static method in class weka.gui.explorer.ExplorerDefaults
-
returns the default classifier test mode for the classify panel (0-99).
- getClassifierPreserveOrder() - Static method in class weka.gui.explorer.ExplorerDefaults
-
returns whether the order is preserved in case of the percentage split in
the classify tab.
- getClassifierRandomSeed() - Static method in class weka.gui.explorer.ExplorerDefaults
-
returns the default random seed value for the classifier for the classify
panel.
- getClassifiers() - Method in class weka.classifiers.meta.MultiScheme
-
Gets the list of possible classifers to choose from.
- getClassifiers() - Method in class weka.classifiers.MultipleClassifiersCombiner
-
Gets the list of possible classifers to choose from.
- getClassifierSourceCodeClass() - Static method in class weka.gui.explorer.ExplorerDefaults
-
returns the default classname for a sourcable Classifier in the classify
tab.
- getClassifierStoreTestDataAndPredictionsForVis() - Static method in class weka.gui.explorer.ExplorerDefaults
-
returns whether the test data and the predictions of the classifier are stored for
visualization.
- getClassifierTemplate() - Method in class weka.gui.beans.Classifier
-
Return the classifier template currently in use.
- getClassifierTestMode() - Static method in class weka.gui.explorer.ExplorerDefaults
-
returns the default classifier test mode for the classify panel.
- getClassifyIterations() - Method in class weka.classifiers.BVDecomposeSegCVSub
-
Gets the number of times an instance is classified
- getClassIndex() - Method in class weka.associations.Apriori
-
Gets the class index
- getClassIndex() - Method in class weka.associations.FilteredAssociator
-
Gets the class index
- getClassIndex() - Method in class weka.classifiers.BVDecompose
-
Get the index (starting from 1) of the attribute used as the class.
- getClassIndex() - Method in class weka.classifiers.BVDecomposeSegCVSub
-
Get the index (starting from 1) of the attribute used as the class.
- getClassIndex() - Method in class weka.classifiers.CheckSource
-
Gets the class index of the dataset.
- getClassIndex() - Method in class weka.core.converters.JSONSaver
-
Get the index of the class attribute.
- getClassIndex() - Method in class weka.core.converters.LibSVMSaver
-
Get the index of the class attribute.
- getClassIndex() - Method in class weka.core.converters.SVMLightSaver
-
Get the index of the class attribute.
- getClassIndex() - Method in class weka.core.converters.XRFFSaver
-
Get the index of the class attribute.
- getClassIndex() - Method in class weka.core.FindWithCapabilities
-
returns the current current class index, -1 if no class attribute.
- getClassIndex() - Method in class weka.core.TestInstances
-
returns the current class index (0-based), -1 is last attribute
- getClassIndex() - Method in class weka.filters.CheckSource
-
Gets the class index of the dataset.
- getClassIndex() - Method in class weka.filters.unsupervised.attribute.ClassAssigner
-
returns the class index.
- getClassIndex() - Method in class weka.filters.unsupervised.instance.RemoveMisclassified
-
Gets the attribute on which misclassifications are based.
- getClassIndex() - Method in class weka.gui.explorer.ClassifierErrorsPlotInstances
-
Returns the 0-based class index.
- getClassIndex() - Method in class weka.gui.SetInstancesPanel
-
Returns the currently selected class index.
- getClassLabels() - Method in class weka.core.pmml.jaxbbindings.ConfusionMatrix
-
Gets the value of the classLabels property.
- getClassLoader() - Method in class weka.core.scripting.Groovy
-
returns the currently used Groovy classloader.
- getClassMatches(String) - Method in class weka.gui.SimpleCLIPanel.CommandlineCompletion
-
returns all the class/package matches with the partial search string.
- getClassname() - Method in class weka.core.Javadoc
-
returns the current classname
- getClassname() - Method in class weka.core.ListOptions
-
returns the current classname
- getClassName() - Method in class weka.filters.unsupervised.attribute.NumericTransform
-
Get the class containing the transformation method.
- getClassname(String) - Method in class weka.gui.SimpleCLIPanel.CommandlineCompletion
-
returns the classname part of the partial classname.
- getClassnames(String) - Method in class weka.core.ClassCache
-
Returns all the classes for the given package.
- getClassOrder() - Method in class weka.filters.supervised.attribute.ClassOrder
-
Get the wanted class order
- getClassPriors() - Method in class weka.classifiers.evaluation.Evaluation
-
Get the current weighted class counts.
- getClassPriors() - Method in class weka.classifiers.Evaluation
-
Get the current weighted class counts.
- getClassType() - Method in class weka.core.TestInstances
-
returns the current class type
- getClassValue() - Method in class weka.gui.beans.ClassValuePicker
-
Gets the class value considered to be the "positive" class value.
- getClassValue() - Method in class weka.knowledgeflow.steps.ClassValuePicker
-
Gets the class value considered to be the "positive" class value.
- getClassValueIndex() - Method in class weka.classifiers.meta.IterativeClassifierOptimizer
-
Get the class value index to use
- getClassWeightedAverageStatistic(String) - Method in interface weka.classifiers.evaluation.InformationRetrievalEvaluationMetric
-
Get the weighted (by class) average for this statistic.
- getClearEachDataset() - Method in class weka.gui.streams.InstanceViewer
-
- getClip() - Method in class weka.gui.visualize.PostscriptGraphics
-
Not implemented
- getClipBounds() - Method in class weka.gui.visualize.PostscriptGraphics
-
This returns the full current drawing area
- getClipBounds(Rectangle) - Method in class weka.gui.visualize.PostscriptGraphics
-
This returns the full current drawing area
- getClipRect() - Method in class weka.gui.visualize.PostscriptGraphics
-
Not implemented
- getClock() - Method in class weka.core.Debug
-
returns the instance of the Clock that is internally used
- getClosestConnections(Point, int, Integer...) - Static method in class weka.gui.beans.BeanConnection
-
Return a list of connections within some delta of a point
- getClosestConnectorPoint(Point) - Method in class weka.gui.beans.BeanVisual
-
Returns the coordinates of the closest "connector" point to the supplied
point.
- getClosestConnectorPoint(Point) - Method in class weka.gui.knowledgeflow.StepVisual
-
Returns the coordinates of the closest "connector" point to the supplied
point.
- getCloseTo() - Method in class weka.filters.unsupervised.attribute.NumericCleaner
-
Get the "close to" number.
- getCloseToDefault() - Method in class weka.filters.unsupervised.attribute.NumericCleaner
-
Get the "close to" default.
- getCloseToTolerance() - Method in class weka.filters.unsupervised.attribute.NumericCleaner
-
Get the "close to" Tolerance.
- getClosure() - Method in class weka.core.pmml.jaxbbindings.Interval
-
Gets the value of the closure property.
- getClusterAssignments() - Method in class weka.clusterers.ClusterEvaluation
-
Return an array of cluster assignments corresponding to the most recent set
of instances clustered.
- getClusterCanopyAssignments() - Method in class weka.clusterers.Canopy
-
Get the canopies that each canopy (cluster center) is within T1 distance of
- getClusterCentroids() - Method in class weka.clusterers.FarthestFirst
-
Get the centroids found by FarthestFirst
- getClusterCentroids() - Method in class weka.clusterers.SimpleKMeans
-
Gets the the cluster centroids.
- getClusterDefinitions() - Method in class weka.datagenerators.clusterers.SubspaceCluster
-
returns the currently set clusters
- getClusterer() - Method in class weka.attributeSelection.UnsupervisedSubsetEvaluator
-
Get the clusterer
- getClusterer() - Method in class weka.clusterers.CheckClusterer
-
Get the clusterer used as the clusterer
- getClusterer() - Method in class weka.clusterers.MakeDensityBasedClusterer
-
Gets the clusterer being wrapped.
- getClusterer() - Method in class weka.clusterers.SingleClustererEnhancer
-
Get the clusterer used as the base clusterer.
- getClusterer() - Method in class weka.experiment.DensityBasedClustererSplitEvaluator
-
Get the value of clusterer
- getClusterer() - Method in class weka.filters.unsupervised.attribute.AddCluster
-
Gets the clusterer used by the filter.
- getClusterer() - Method in class weka.gui.beans.BatchClustererEvent
-
Get the clusterer
- getClusterer() - Method in class weka.gui.beans.Clusterer
-
Get the clusterer currently set for this wrapper
- getClusterer() - Method in class weka.gui.explorer.ClustererAssignmentsPlotInstances
-
Returns the currently set clusterer.
- getClusterer() - Static method in class weka.gui.explorer.ExplorerDefaults
-
returns the default clusterer (fully configured) for the clusterer panel.
- getClusterer() - Method in class weka.knowledgeflow.steps.Clusterer
-
Get the clusterer to train
- getClustererAssignmentsPlotInstances() - Static method in class weka.gui.explorer.ExplorerDefaults
-
Returns an instance of the class used for generating plot instances for
displaying the cluster assignments.
- getClustererStoreClustersForVis() - Static method in class weka.gui.explorer.ExplorerDefaults
-
returns whether the clusters are storeed for visualization purposes in the
cluster panel.
- getClustererTestMode() - Static method in class weka.gui.explorer.ExplorerDefaults
-
returns the default cluster test mode for the cluster panel.
- getClusterEvaluation() - Method in class weka.gui.explorer.ClustererAssignmentsPlotInstances
-
Returns the cluster evaluation object in use.
- getClusteringModel() - Method in class weka.core.pmml.jaxbbindings.Segment
-
Gets the value of the clusteringModel property.
- getClusteringModelQuality() - Method in class weka.core.pmml.jaxbbindings.ModelExplanation
-
Gets the value of the clusteringModelQuality property.
- getClusterModelsNumericAtts() - Method in class weka.clusterers.EM
-
Return the normal distributions for the cluster models
- getClusterNominalCounts() - Method in class weka.clusterers.SimpleKMeans
-
Returns for each cluster the weighted frequency counts for the values of each
nominal attribute.
- getClusterPriors() - Method in class weka.clusterers.EM
-
Return the priors for the clusters
- getClusterSizes() - Method in class weka.clusterers.SimpleKMeans
-
Gets the sum of weights for all the instances in each cluster.
- getClusterStandardDevs() - Method in class weka.clusterers.SimpleKMeans
-
Gets the standard deviations of the numeric attributes in each cluster.
- getClusterSubType() - Method in class weka.datagenerators.clusterers.SubspaceClusterDefinition
-
Gets the cluster sub type.
- getClusterType() - Method in class weka.datagenerators.clusterers.SubspaceClusterDefinition
-
Gets the cluster type.
- getCoef0() - Method in class weka.core.pmml.jaxbbindings.PolynomialKernelType
-
Gets the value of the coef0 property.
- getCoef0() - Method in class weka.core.pmml.jaxbbindings.SigmoidKernelType
-
Gets the value of the coef0 property.
- getCoefficient() - Method in class weka.core.pmml.jaxbbindings.CategoricalPredictor
-
Gets the value of the coefficient property.
- getCoefficient() - Method in class weka.core.pmml.jaxbbindings.Coefficients
-
Gets the value of the coefficient property.
- getCoefficient() - Method in class weka.core.pmml.jaxbbindings.NumericPredictor
-
Gets the value of the coefficient property.
- getCoefficient() - Method in class weka.core.pmml.jaxbbindings.PredictorTerm
-
Gets the value of the coefficient property.
- getCoefficients() - Method in class weka.core.matrix.LinearRegression
-
returns the calculated coefficients
- getCoefficients() - Method in class weka.core.pmml.jaxbbindings.SupportVectorMachine
-
Gets the value of the coefficients property.
- getCol() - Method in class weka.core.pmml.jaxbbindings.MatCell
-
Gets the value of the col property.
- getColCount() - Method in class weka.experiment.ResultMatrix
-
returns the number of columns.
- getColHidden(int) - Method in class weka.experiment.ResultMatrix
-
returns the hidden status of the column, if the index is valid, otherwise
false.
- getCollapseTree() - Method in class weka.classifiers.trees.J48
-
Get the value of collapseTree.
- getCollectPredictionsForVisAndAUC() - Method in class weka.knowledgeflow.steps.ClassifierPerformanceEvaluator
-
- getColName(int) - Method in class weka.experiment.ResultMatrix
-
returns the name of the row, if the index is valid, otherwise null.
- getColNameWidth() - Method in class weka.experiment.ResultMatrix
-
returns the current width for the column names.
- getColor() - Method in class weka.gui.ReaderToTextPane
-
Returns the color in use.
- getColor() - Method in class weka.gui.treevisualizer.Node
-
Get the value of color.
- getColor() - Method in class weka.gui.visualize.PostscriptGraphics
-
Get current pen color.
- getColorBox() - Method in class weka.gui.AttributeVisualizationPanel
-
Returns the class selection combo box if the parent component wants to
place it in itself or in some component other than this component.
- getColOrder() - Method in class weka.experiment.ResultMatrix
-
returns the current order of the columns, null means the default order.
- getColoringIndex() - Method in class weka.gui.AttributeVisualizationPanel
-
Get the coloring (class) index for the plot
- getColoringIndex() - Method in class weka.gui.beans.AttributeSummarizer
-
Return the coloring index for the attribute summary plots
- getColors() - Method in class weka.gui.boundaryvisualizer.BoundaryPanel
-
Get the current vector of Color objects used for the classes
- getColumn(int) - Method in class weka.core.Matrix
-
Deprecated.
Gets a column of the matrix and returns it as a double array.
- getColumn() - Method in class weka.core.pmml.jaxbbindings.FieldColumnPair
-
Gets the value of the column property.
- getColumn() - Method in class weka.core.pmml.jaxbbindings.InstanceField
-
Gets the value of the column property.
- getColumn() - Method in class weka.core.pmml.jaxbbindings.VerificationField
-
Gets the value of the column property.
- getColumn() - Static method in class weka.gui.experiment.ExperimenterDefaults
-
the comma-separated list of attribute names that identify a column.
- getColumnClass(int) - Method in class weka.gui.arffviewer.ArffTableModel
-
returns the most specific superclass for all the cell values in the column
(always String)
- getColumnClass(int) - Method in class weka.gui.InteractiveTableModel
-
- getColumnClass(int) - Method in class weka.gui.SortedTableModel
-
Returns the most specific superclass for all the cell values in the column.
- getColumnClass(int) - Method in class weka.gui.sql.ResultSetTableModel
-
returns the most specific superclass for all the cell values in the column
(always String).
- getColumnClasses() - Method in class weka.gui.sql.ResultSetHelper
-
returns the classes for the columns.
- getColumnCount() - Method in class weka.gui.arffviewer.ArffTableModel
-
returns the number of columns in the model
- getColumnCount() - Method in class weka.gui.InteractiveTableModel
-
- getColumnCount() - Method in class weka.gui.SortedTableModel
-
Returns the number of columns in the model
- getColumnCount() - Method in class weka.gui.sql.ResultSetHelper
-
returns the number of columns in the resultset.
- getColumnCount() - Method in class weka.gui.sql.ResultSetTableModel
-
returns the number of columns in the model.
- getColumnDimension() - Method in class weka.core.matrix.Matrix
-
Get column dimension.
- getColumnName(int) - Method in class weka.gui.arffviewer.ArffTableModel
-
returns the name of the column at columnIndex
- getColumnName(int) - Method in class weka.gui.InteractiveTableModel
-
- getColumnName(int) - Method in class weka.gui.SortedTableModel
-
Returns the name of the column at columnIndex
- getColumnName(int) - Method in class weka.gui.sql.ResultSetTableModel
-
returns the name of the column at columnIndex.
- getColumnNames() - Method in class weka.gui.sql.ResultSetHelper
-
returns an array with the names of the columns in the resultset.
- getColumnPackedCopy() - Method in class weka.core.matrix.Matrix
-
Make a one-dimensional column packed copy of the internal array.
- getCombinationRule() - Method in class weka.classifiers.meta.Vote
-
Gets the combination rule used
- getCommand(String) - Static method in class weka.gui.simplecli.AbstractCommand
-
Locates the command for the given name.
- getCommand() - Method in class weka.gui.treevisualizer.TreeDisplayEvent
-
- getCommandDescription() - Method in class weka.gui.knowledgeflow.AbstractGraphicalCommand
-
Get a description of this command
- getCommandDescription() - Method in class weka.gui.knowledgeflow.GetPerspectiveNamesGraphicalCommand
-
Get the description of this command
- getCommandDescription() - Method in class weka.gui.knowledgeflow.SendToPerspectiveGraphicalCommand
-
Get the description of this command
- getCommandHistory() - Method in class weka.gui.SimpleCLIPanel
-
Returns the command history.
- getCommandName() - Method in class weka.gui.knowledgeflow.AbstractGraphicalCommand
-
Get the name of this command
- getCommandName() - Method in class weka.gui.knowledgeflow.GetPerspectiveNamesGraphicalCommand
-
Get the name of the command
- getCommandName() - Method in class weka.gui.knowledgeflow.SendToPerspectiveGraphicalCommand
-
Get the name of the command
- getCommands() - Static method in class weka.gui.simplecli.AbstractCommand
-
Returns all available commands.
- getComment() - Method in enum weka.core.TechnicalInformation.Field
-
returns the comment string
- getComment() - Method in enum weka.core.TechnicalInformation.Type
-
returns the comment string
- getCommonPrefix() - Method in class weka.core.Trie
-
returns the common prefix for all the nodes
- getCommonPrefix() - Method in class weka.core.Trie.TrieNode
-
returns the common prefix for all the nodes starting with this node.
- getCommonPrefix(String) - Method in class weka.core.Trie.TrieNode
-
returns the common prefix for all the nodes starting with the node for
the specified prefix.
- getCommonPrefix(Vector<String>) - Method in class weka.gui.SimpleCLIPanel.CommandlineCompletion
-
returns the common prefix for all the items in the list.
- getCompareFunction() - Method in class weka.core.pmml.jaxbbindings.ClusteringField
-
Gets the value of the compareFunction property.
- getCompareFunction() - Method in class weka.core.pmml.jaxbbindings.ComparisonMeasure
-
Gets the value of the compareFunction property.
- getCompareFunction() - Method in class weka.core.pmml.jaxbbindings.KNNInput
-
Gets the value of the compareFunction property.
- getComparison() - Method in class weka.associations.NumericItem
-
Gets the comparison operator for this item.
- getComparisonAsString() - Method in class weka.associations.Item
-
Get this item's comparison operator as a String.
- getComparisonAsString() - Method in class weka.associations.NominalItem
-
Get this item's comparison operator as a String.
- getComparisonAsString() - Method in class weka.associations.NumericItem
-
Get this item's comparison operator as a String.
- getComparisonField() - Static method in class weka.gui.experiment.ExperimenterDefaults
-
returns the name of the field used for comparison.
- getComparisons() - Method in class weka.core.pmml.jaxbbindings.ClusteringField
-
Gets the value of the comparisons property.
- getCompatibilityState() - Method in class weka.experiment.AveragingResultProducer
-
Gets a description of the internal settings of the result producer,
sufficient for distinguishing a ResultProducer instance from another with
different settings (ignoring those settings set through this interface).
- getCompatibilityState() - Method in class weka.experiment.CrossValidationResultProducer
-
Gets a description of the internal settings of the result producer,
sufficient for distinguishing a ResultProducer instance from another with
different settings (ignoring those settings set through this interface).
- getCompatibilityState() - Method in class weka.experiment.DatabaseResultProducer
-
Gets a description of the internal settings of the result producer,
sufficient for distinguishing a ResultProducer instance from another with
different settings (ignoring those settings set through this interface).
- getCompatibilityState() - Method in class weka.experiment.ExplicitTestsetResultProducer
-
Gets a description of the internal settings of the result producer,
sufficient for distinguishing a ResultProducer instance from another with
different settings (ignoring those settings set through this interface).
- getCompatibilityState() - Method in class weka.experiment.LearningRateResultProducer
-
Gets a description of the internal settings of the result producer,
sufficient for distinguishing a ResultProducer instance from another with
different settings (ignoring those settings set through this interface).
- getCompatibilityState() - Method in class weka.experiment.RandomSplitResultProducer
-
Gets a description of the internal settings of the result producer,
sufficient for distinguishing a ResultProducer instance from another with
different settings (ignoring those settings set through this interface).
- getCompatibilityState() - Method in interface weka.experiment.ResultProducer
-
Gets a description of the internal settings of the result
producer, sufficient for distinguishing a ResultProducer
instance from another with different settings (ignoring
those settings set through this interface).
- getComponent() - Method in class weka.gui.visualize.JComponentWriter
-
returns the component that is stored in the output format
- getComponent() - Method in class weka.gui.visualize.PrintableComponent
-
returns the GUI component this print dialog is part of.
- getComposite() - Method in class weka.gui.visualize.PostscriptGraphics
-
- getCompoundPredicate() - Method in class weka.core.pmml.jaxbbindings.Attribute
-
Gets the value of the compoundPredicate property.
- getCompoundPredicate() - Method in class weka.core.pmml.jaxbbindings.CompoundRule
-
Gets the value of the compoundPredicate property.
- getCompoundPredicate() - Method in class weka.core.pmml.jaxbbindings.Segment
-
Gets the value of the compoundPredicate property.
- getCompoundPredicate() - Method in class weka.core.pmml.jaxbbindings.SimpleRule
-
Gets the value of the compoundPredicate property.
- getCompressOutput() - Method in class weka.core.converters.ArffSaver
-
Gets whether the output data is compressed.
- getCompressOutput() - Method in class weka.core.converters.JSONSaver
-
Gets whether the output data is compressed.
- getCompressOutput() - Method in class weka.core.converters.XRFFSaver
-
Gets whether the output data is compressed.
- getComputeAttributeImportance() - Method in class weka.classifiers.trees.RandomForest
-
Get whether to compute and output attribute importance scores
- getComputeImpurityDecreases() - Method in class weka.classifiers.trees.RandomTree
-
Get whether to compute/store impurity decreases for variable importance
in RandomForest
- getComputeMaxRowsInParallel() - Method in class weka.knowledgeflow.steps.BoundaryPlotter
-
Get the maximum number of threads to use when computing image rows
- getCon() - Method in class weka.core.pmml.jaxbbindings.Neuron
-
Gets the value of the con property.
- getConditionalEstimators() - Method in class weka.classifiers.bayes.NaiveBayes
-
Get all the conditional estimators.
- getConfidence() - Method in class weka.core.pmml.jaxbbindings.AssociationRule
-
Gets the value of the confidence property.
- getConfidence() - Method in class weka.core.pmml.jaxbbindings.ScoreDistribution
-
Gets the value of the confidence property.
- getConfidence() - Method in class weka.core.pmml.jaxbbindings.SequenceRule
-
Gets the value of the confidence property.
- getConfidence() - Method in class weka.core.pmml.jaxbbindings.SimpleRule
-
Gets the value of the confidence property.
- getConfidenceFactor() - Method in class weka.classifiers.rules.PART
-
Get the value of CF.
- getConfidenceFactor() - Method in class weka.classifiers.trees.J48
-
Get the value of CF.
- getConfidenceLevel() - Method in class weka.core.pmml.jaxbbindings.MultivariateStat
-
Gets the value of the confidenceLevel property.
- getConfidenceLowerBound() - Method in class weka.core.pmml.jaxbbindings.MultivariateStat
-
Gets the value of the confidenceLowerBound property.
- getConfidenceUpperBound() - Method in class weka.core.pmml.jaxbbindings.MultivariateStat
-
Gets the value of the confidenceUpperBound property.
- getConfirmExit() - Method in class weka.gui.arffviewer.ArffViewer
-
returns the setting of whether to display a confirm messagebox or not on
exit
- getConfirmExit() - Method in class weka.gui.arffviewer.ArffViewerMainPanel
-
returns the setting of whether to display a confirm messagebox or not on
exit
- getConfusionMatrix() - Method in class weka.classifiers.evaluation.TwoClassStats
-
Generates a ConfusionMatrix
representing the current two-class
statistics, using class names "negative" and "positive".
- getConfusionMatrix() - Method in class weka.core.pmml.jaxbbindings.PredictiveModelQuality
-
Gets the value of the confusionMatrix property.
- getConnectedFormat() - Method in class weka.gui.beans.ClassAssigner
-
Returns the structure of the incoming instances (if any)
- getConnectedFormat() - Method in class weka.gui.beans.ClassValuePicker
-
Returns the structure of the incoming instances (if any)
- getConnectedFormat() - Method in class weka.gui.beans.FlowByExpression
-
Returns the structure of the incoming instances (if any)
- getConnectedFormat() - Method in class weka.gui.beans.Sorter
-
Returns the structure of the incoming instances (if any)
- getConnectedInputNames() - Method in class weka.knowledgeflow.steps.Join
-
Get the names of the connected steps as a list
- getConnection() - Method in class weka.gui.sql.DbUtils
-
returns the current database connection.
- getConnectionName() - Method in class weka.knowledgeflow.Data
-
Get the connection name associated with this Data object
- getConnections(Integer...) - Static method in class weka.gui.beans.BeanConnection
-
Returns the list of connections
- getConnectorPoint(int) - Method in class weka.gui.beans.BeanVisual
-
Returns the coordinates of the connector point given a compass point
- getConsequence() - Method in class weka.associations.AssociationRule
-
Get the consequence of this rule.
- getConsequence() - Method in class weka.associations.DefaultAssociationRule
-
- getConsequenceSupport() - Method in class weka.associations.AssociationRule
-
Get the support for the consequence.
- getConsequenceSupport() - Method in class weka.associations.DefaultAssociationRule
-
- getConsequent() - Method in class weka.classifiers.rules.JRip.RipperRule
-
Gets the internal representation of the class label to be predicted
- getConsequent() - Method in class weka.classifiers.rules.Rule
-
Get the consequent of this rule, i.e.
- getConsequent() - Method in class weka.core.pmml.jaxbbindings.AssociationRule
-
Gets the value of the consequent property.
- getConservativeForwardSelection() - Method in class weka.attributeSelection.GreedyStepwise
-
Gets whether conservative selection has been enabled
- getConstant() - Method in class weka.core.pmml.jaxbbindings.DefineFunction
-
Gets the value of the constant property.
- getConstant() - Method in class weka.core.pmml.jaxbbindings.DerivedField
-
Gets the value of the constant property.
- getConstant() - Method in class weka.core.pmml.jaxbbindings.OutputField
-
Gets the value of the constant property.
- getConsumeNonMatching() - Method in class weka.gui.beans.SubstringLabeler
-
Get whether instances that do not match any of the rules should be
"consumed" rather than output with a missing value set for the new
attribute.
- getConsumeNonMatching() - Method in class weka.gui.beans.SubstringLabelerRules
-
Get whether to consume non matching instances.
- getConsumeNonMatching() - Method in class weka.knowledgeflow.steps.SubstringLabeler
-
Get whether instances that do not match any of the rules should be
"consumed" rather than output with a missing value set for the new
attribute.
- getContainChildBalls() - Method in class weka.core.neighboursearch.balltrees.BallTreeConstructor
-
Gets whether if a parent ball should completely enclose its two child
balls.
- getContent(Element) - Method in class weka.classifiers.bayes.net.BIFReader
-
Returns all TEXT children of the given node in one string.
- getContent(Element) - Method in class weka.classifiers.bayes.net.EditableBayesNet
-
XML helper function.
- getContent() - Method in class weka.core.pmml.jaxbbindings.Annotation
-
Gets the value of the content property.
- getContent() - Method in class weka.core.pmml.jaxbbindings.ArrayType
-
Gets the value of the content property.
- getContent() - Method in class weka.core.pmml.jaxbbindings.AssociationModel
-
Gets the rest of the content model.
- getContent() - Method in class weka.core.pmml.jaxbbindings.BaselineModel
-
Gets the rest of the content model.
- getContent() - Method in class weka.core.pmml.jaxbbindings.ClusteringModel
-
Gets the rest of the content model.
- getContent() - Method in class weka.core.pmml.jaxbbindings.Extension
-
Gets the value of the content property.
- getContent() - Method in class weka.core.pmml.jaxbbindings.GeneralRegressionModel
-
Gets the rest of the content model.
- getContent() - Method in class weka.core.pmml.jaxbbindings.MiningModel
-
Gets the rest of the content model.
- getContent() - Method in class weka.core.pmml.jaxbbindings.NaiveBayesModel
-
Gets the rest of the content model.
- getContent() - Method in class weka.core.pmml.jaxbbindings.NearestNeighborModel
-
Gets the rest of the content model.
- getContent() - Method in class weka.core.pmml.jaxbbindings.NeuralNetwork
-
Gets the rest of the content model.
- getContent() - Method in class weka.core.pmml.jaxbbindings.Node
-
Gets the rest of the content model.
- getContent() - Method in class weka.core.pmml.jaxbbindings.RegressionModel
-
Gets the rest of the content model.
- getContent() - Method in class weka.core.pmml.jaxbbindings.Row
-
Gets the value of the content property.
- getContent() - Method in class weka.core.pmml.jaxbbindings.RuleSetModel
-
Gets the rest of the content model.
- getContent() - Method in class weka.core.pmml.jaxbbindings.Scorecard
-
Gets the rest of the content model.
- getContent() - Method in class weka.core.pmml.jaxbbindings.SequenceModel
-
Gets the rest of the content model.
- getContent() - Method in class weka.core.pmml.jaxbbindings.SequenceRule
-
Gets the rest of the content model.
- getContent() - Method in class weka.core.pmml.jaxbbindings.SupportVectorMachineModel
-
Gets the rest of the content model.
- getContent() - Method in class weka.core.pmml.jaxbbindings.TextModel
-
Gets the rest of the content model.
- getContent() - Method in class weka.core.pmml.jaxbbindings.TimeSeriesModel
-
Gets the rest of the content model.
- getContent() - Method in class weka.core.pmml.jaxbbindings.Timestamp
-
Gets the value of the content property.
- getContent() - Method in class weka.core.pmml.jaxbbindings.TreeModel
-
Gets the rest of the content model.
- getContent(Element) - Static method in class weka.core.xml.XMLDocument
-
returns the text between the opening and closing tag of a node
(performs a trim()
on the result).
- getContent() - Method in class weka.gui.scripting.Script
-
Returns the content.
- getContinuousScoringMethod() - Method in class weka.core.pmml.jaxbbindings.NearestNeighborModel
-
Gets the value of the continuousScoringMethod property.
- getContrastMatrixType() - Method in class weka.core.pmml.jaxbbindings.Predictor
-
Gets the value of the contrastMatrixType property.
- getControlPanel() - Method in class weka.gui.graphvisualizer.HierarchicalBCEngine
-
This method returns a handle to the extra controls panel, so that the
visualizing class can add it to some of it's own gui panel.
- getControlPanel() - Method in interface weka.gui.graphvisualizer.LayoutEngine
-
This method returns the extra controls panel for the LayoutEngine, if there
is any.
- getContStats() - Method in class weka.core.pmml.jaxbbindings.UnivariateStats
-
Gets the value of the contStats property.
- getConvertNominal() - Method in class weka.classifiers.trees.LMT
-
Get the value of convertNominal.
- getCoord1() - Method in class weka.core.pmml.jaxbbindings.KohonenMap
-
Gets the value of the coord1 property.
- getCoord2() - Method in class weka.core.pmml.jaxbbindings.KohonenMap
-
Gets the value of the coord2 property.
- getCoord3() - Method in class weka.core.pmml.jaxbbindings.KohonenMap
-
Gets the value of the coord3 property.
- getCopyOfInputFormat() - Method in class weka.filters.Filter
-
Gets a copy of just the structure of the input format instances.
- getCopyright() - Method in class weka.core.pmml.jaxbbindings.Header
-
Gets the value of the copyright property.
- getCoreConvertersOnly() - Method in class weka.gui.ConverterFileChooser
-
Returns whether only the hardcoded core converters are displayed.
- getCorrelationFields() - Method in class weka.core.pmml.jaxbbindings.Correlations
-
Gets the value of the correlationFields property.
- getCorrelationMatrix() - Method in class weka.attributeSelection.PrincipalComponents
-
Return the correlation/covariance matrix
- getCorrelationMethods() - Method in class weka.core.pmml.jaxbbindings.Correlations
-
Gets the value of the correlationMethods property.
- getCorrelations() - Method in class weka.core.pmml.jaxbbindings.ModelExplanation
-
Gets the value of the correlations property.
- getCorrelationValues() - Method in class weka.core.pmml.jaxbbindings.Correlations
-
Gets the value of the correlationValues property.
- getCostMatrix() - Method in class weka.classifiers.meta.CostSensitiveClassifier
-
Gets the misclassification cost matrix.
- getCostMatrix() - Method in class weka.gui.explorer.ClassifierPanel
-
Get the cost matrix (if any)
- getCostMatrixSource() - Method in class weka.classifiers.meta.CostSensitiveClassifier
-
Gets the source location method of the cost matrix.
- getCostMatrixString() - Method in class weka.knowledgeflow.steps.ClassifierPerformanceEvaluator
-
Get the cost matrix to use as a string
- getCount(double) - Method in class weka.classifiers.bayes.net.estimate.DiscreteEstimatorBayes
-
Get a counts for a value
- getCount() - Method in class weka.core.pmml.jaxbbindings.FieldValueCount
-
Gets the value of the count property.
- getCount() - Method in class weka.core.pmml.jaxbbindings.TargetValueCount
-
Gets the value of the count property.
- getCount() - Method in class weka.core.pmml.jaxbbindings.TimeException
-
Gets the value of the count property.
- getCount(double) - Method in class weka.estimators.DiscreteEstimator
-
Get the count for a value
- getCount(int) - Method in class weka.experiment.ResultMatrix
-
returns the count for the row.
- getCount(Node, int) - Static method in class weka.gui.treevisualizer.Node
-
Recursively finds the number of visible nodes there are (this may
accidentally count some of the invis nodes).
- getCounts(int[], int[], int[], int, int, boolean) - Method in class weka.classifiers.bayes.net.ADNode
-
get counts for specific instantiation of a set of nodes
- getCounts(int[], int[], int[], int, int, ADNode, boolean) - Method in class weka.classifiers.bayes.net.VaryNode
-
get counts for specific instantiation of a set of nodes
- getCounts() - Method in class weka.core.pmml.jaxbbindings.PartitionFieldStats
-
Gets the value of the counts property.
- getCounts() - Method in class weka.core.pmml.jaxbbindings.UnivariateStats
-
Gets the value of the counts property.
- getCountTable() - Method in class weka.core.pmml.jaxbbindings.Baseline
-
Gets the value of the countTable property.
- getCountWidth() - Method in class weka.experiment.ResultMatrix
-
returns the current width for the counts.
- getCovariances() - Method in class weka.core.pmml.jaxbbindings.Cluster
-
Gets the value of the covariances property.
- getCover() - Method in class weka.classifiers.rules.JRip.Antd
-
- getCreatorApplication() - Method in class weka.classifiers.pmml.consumer.PMMLClassifier
-
Get the name of the application that created this model
- getCreatorApplication() - Method in interface weka.core.pmml.PMMLModel
-
Get the name of the application that created this model.
- getCriterion() - Method in class weka.core.pmml.jaxbbindings.RuleSelectionMethod
-
Gets the value of the criterion property.
- getCrossVal() - Method in class weka.classifiers.rules.DecisionTable
-
Gets the number of folds for cross validation
- getCrossValidate() - Method in class weka.classifiers.lazy.IBk
-
Gets whether hold-one-out cross-validation will be used
to select the best k value.
- getCumHazard() - Method in class weka.core.pmml.jaxbbindings.BaselineCell
-
Gets the value of the cumHazard property.
- getCumulativeLink() - Method in class weka.core.pmml.jaxbbindings.GeneralRegressionModel
-
Gets the value of the cumulativeLink property.
- getCurrent() - Method in class weka.core.Memory
-
returns the currently used size of the JVM heap, obtains a fresh
MemoryUsage object to do so.
- getCurrentBeanLayout() - Method in class weka.gui.beans.KnowledgeFlowApp.MainKFPerspective
-
- getCurrentDatasetNumber() - Method in class weka.experiment.Experiment
-
When an experiment is running, this returns the current dataset number.
- getCurrentDir() - Static method in class weka.core.Debug
-
returns the current working directory of the user
- getCurrentFilename() - Method in class weka.gui.arffviewer.ArffViewerMainPanel
-
returns the filename of the current tab
- getCurrentImage() - Method in class weka.knowledgeflow.steps.BoundaryPlotter
-
Get the currently rendering image
- getCurrentIndex() - Method in class weka.gui.arffviewer.ArffViewerMainPanel
-
returns the currently selected tab index
- getCurrentInstance() - Method in class weka.gui.beans.IncrementalClassifierEvent
-
Get the current instance
- getCurrentLayout() - Method in class weka.gui.knowledgeflow.MainKFPerspective
-
Get the flow layout for the current (visible) tab
- getCurrentLogPanel() - Method in class weka.gui.beans.KnowledgeFlowApp.MainKFPerspective
-
- getCurrentModel() - Method in class weka.classifiers.misc.SerializedClassifier
-
Gets the currently loaded model (can be null).
- getCurrentPanel() - Method in class weka.gui.arffviewer.ArffViewerMainPanel
-
returns the currently selected panel
- getCurrentPropertyNumber() - Method in class weka.experiment.Experiment
-
When an experiment is running, this returns the index of the current custom
property value.
- getCurrentRunNumber() - Method in class weka.experiment.Experiment
-
When an experiment is running, this returns the current run number.
- getCurrentTabIndex() - Method in class weka.gui.beans.KnowledgeFlowApp.MainKFPerspective
-
- getCurrentTabIndex() - Method in class weka.gui.knowledgeflow.MainKFPerspective
-
Get the index of the current (visible) tab
- getCurrentZoomSetting() - Method in class weka.gui.beans.KnowledgeFlowApp.MainKFPerspective
-
- getCurve(ArrayList<Prediction>) - Method in class weka.classifiers.evaluation.CostCurve
-
Calculates the performance stats for the default class and return results
as a set of Instances.
- getCurve(ArrayList<Prediction>, int) - Method in class weka.classifiers.evaluation.CostCurve
-
Calculates the performance stats for the desired class and return results
as a set of Instances.
- getCurve(ArrayList<Prediction>) - Method in class weka.classifiers.evaluation.MarginCurve
-
Calculates the cumulative margin distribution for the set of predictions,
returning the result as a set of Instances.
- getCurve(ArrayList<Prediction>) - Method in class weka.classifiers.evaluation.ThresholdCurve
-
Calculates the performance stats for the default class and return results
as a set of Instances.
- getCurve(ArrayList<Prediction>, int) - Method in class weka.classifiers.evaluation.ThresholdCurve
-
Calculates the performance stats for the desired class and return results
as a set of Instances.
- getCustomEditor() - Method in class weka.gui.beans.EnvironmentField
-
Deprecated.
- getCustomEditor() - Method in class weka.gui.ColorEditor
-
Returns our JColorChooser object
- getCustomEditor() - Method in class weka.gui.CostMatrixEditor
-
Gets a GUI component with which the user can edit the cost matrix.
- getCustomEditor() - Method in class weka.gui.EnvironmentField
-
- getCustomEditor() - Method in class weka.gui.FileEditor
-
Gets the custom editor component.
- getCustomEditor() - Method in class weka.gui.GenericArrayEditor
-
Returns the array editing component.
- getCustomEditor() - Method in class weka.gui.GenericObjectEditor
-
Returns the array editing component.
- getCustomEditor() - Method in class weka.gui.PasswordField
-
- getCustomEditor() - Method in class weka.gui.SimpleDateFormatEditor
-
Gets a GUI component with which the user can edit the date format.
- getCustomEditorForStep() - Method in class weka.gui.knowledgeflow.StepVisual
-
Get the fully qualified name of the custom editor (if any) for the step
wrapped in this visual
- getCustomEditorForStep() - Method in class weka.knowledgeflow.steps.ASEvaluator
-
Get the class name of the custom editor for this step
- getCustomEditorForStep() - Method in class weka.knowledgeflow.steps.AttributeSummarizer
-
Get the fully qualified class name of the custom editor for this step
- getCustomEditorForStep() - Method in class weka.knowledgeflow.steps.BaseStep
-
Return the fully qualified name of a custom editor component (JComponent)
to use for editing the properties of the step.
- getCustomEditorForStep() - Method in class weka.knowledgeflow.steps.Block
-
Get the fully qualified class name of the custom editor for this step
- getCustomEditorForStep() - Method in class weka.knowledgeflow.steps.BoundaryPlotter
-
Return the fully qualified name of a custom editor component (JComponent)
to use for editing the properties of the step.
- getCustomEditorForStep() - Method in class weka.knowledgeflow.steps.ClassAssigner
-
Get the custom editor for this step
- getCustomEditorForStep() - Method in class weka.knowledgeflow.steps.ClassifierPerformanceEvaluator
-
Return the fully qualified name of a custom editor component (JComponent)
to use for editing the properties of the step.
- getCustomEditorForStep() - Method in class weka.knowledgeflow.steps.ClassValuePicker
-
Return the fully qualified name of a custom editor component (JComponent)
to use for editing the properties of the step.
- getCustomEditorForStep() - Method in class weka.knowledgeflow.steps.DataGrid
-
Return the fully qualified name of a custom editor component (JComponent)
to use for editing the properties of the step.
- getCustomEditorForStep() - Method in class weka.knowledgeflow.steps.DataVisualizer
-
- getCustomEditorForStep() - Method in class weka.knowledgeflow.steps.ExecuteProcess
-
Get the name of the editor dialog for this step
- getCustomEditorForStep() - Method in class weka.knowledgeflow.steps.FlowByExpression
-
Return the fully qualified name of a custom editor component (JComponent)
to use for editing the properties of the step.
- getCustomEditorForStep() - Method in class weka.knowledgeflow.steps.Job
-
Get the custom editor for this step
- getCustomEditorForStep() - Method in class weka.knowledgeflow.steps.Join
-
Return the fully qualified name of a custom editor component (JComponent)
to use for editing the properties of the step.
- getCustomEditorForStep() - Method in class weka.knowledgeflow.steps.Loader
-
Return the fully qualified name of a custom editor component (JComponent)
to use for editing the properties of the step.
- getCustomEditorForStep() - Method in class weka.knowledgeflow.steps.ModelPerformanceChart
-
Return the fully qualified name of a custom editor component (JComponent)
to use for editing the properties of the step.
- getCustomEditorForStep() - Method in class weka.knowledgeflow.steps.Note
-
Return the fully qualified name of a custom editor component (JComponent)
to use for editing the properties of the step.
- getCustomEditorForStep() - Method in class weka.knowledgeflow.steps.Saver
-
Return the fully qualified name of a custom editor component (JComponent)
to use for editing the properties of the step.
- getCustomEditorForStep() - Method in class weka.knowledgeflow.steps.SetVariables
-
Return the fully qualified name of a custom editor component (JComponent)
to use for editing the properties of the step.
- getCustomEditorForStep() - Method in class weka.knowledgeflow.steps.Sorter
-
Return the fully qualified name of a custom editor component (JComponent)
to use for editing the properties of the step.
- getCustomEditorForStep() - Method in interface weka.knowledgeflow.steps.Step
-
Return the fully qualified name of a custom editor component (JComponent)
to use for editing the properties of the step.
- getCustomEditorForStep() - Method in class weka.knowledgeflow.steps.StorePropertiesInEnvironment
-
Return the fully qualified name of a custom editor component (JComponent)
to use for editing the properties of the step.
- getCustomEditorForStep() - Method in class weka.knowledgeflow.steps.SubstringLabeler
-
Return the fully qualified name of a custom editor component (JComponent)
to use for editing the properties of the step.
- getCustomEditorForStep() - Method in class weka.knowledgeflow.steps.SubstringReplacer
-
Return the fully qualified name of a custom editor component (JComponent)
to use for editing the properties of the step.
- getCustomHeight() - Method in class weka.gui.visualize.JComponentWriter
-
gets the custom height currently used
- getCustomName() - Method in class weka.gui.beans.Appender
-
Get the custom (descriptive) name for this bean (if one has been set)
- getCustomName() - Method in class weka.gui.beans.Associator
-
Get the custom (descriptive) name for this bean (if one has been set)
- getCustomName() - Method in interface weka.gui.beans.BeanCommon
-
Get the custom (descriptive) name for this bean (if one has been set)
- getCustomName() - Method in class weka.gui.beans.ClassAssigner
-
Get the custom (descriptive) name for this bean (if one has been set)
- getCustomName() - Method in class weka.gui.beans.Classifier
-
Get the custom (descriptive) name for this bean (if one has been set)
- getCustomName() - Method in class weka.gui.beans.ClassifierPerformanceEvaluator
-
Get the custom (descriptive) name for this bean (if one has been set)
- getCustomName() - Method in class weka.gui.beans.ClassValuePicker
-
Get the custom (descriptive) name for this bean (if one has been set)
- getCustomName() - Method in class weka.gui.beans.Clusterer
-
Get the custom (descriptive) name for this bean (if one has been set)
- getCustomName() - Method in class weka.gui.beans.ClustererPerformanceEvaluator
-
Get the custom (descriptive) name for this bean (if one has been set)
- getCustomName() - Method in class weka.gui.beans.CostBenefitAnalysis
-
Get the custom (descriptive) name for this bean (if one has been set)
- getCustomName() - Method in class weka.gui.beans.CrossValidationFoldMaker
-
Get the custom (descriptive) name for this bean (if one has been set)
- getCustomName() - Method in class weka.gui.beans.DataVisualizer
-
Get the custom (descriptive) name for this bean (if one has been set)
- getCustomName() - Method in class weka.gui.beans.Filter
-
Get the custom (descriptive) name for this bean (if one has been set)
- getCustomName() - Method in class weka.gui.beans.FlowByExpression
-
- getCustomName() - Method in class weka.gui.beans.ImageSaver
-
- getCustomName() - Method in class weka.gui.beans.ImageViewer
-
- getCustomName() - Method in class weka.gui.beans.IncrementalClassifierEvaluator
-
Get the custom (descriptive) name for this bean (if one has been set)
- getCustomName() - Method in class weka.gui.beans.InstanceStreamToBatchMaker
-
Get the custom (descriptive) name for this bean (if one has been set)
- getCustomName() - Method in class weka.gui.beans.Join
-
Get the custom name of this step
- getCustomName() - Method in class weka.gui.beans.Loader
-
Get the custom (descriptive) name for this bean (if one has been set)
- getCustomName() - Method in class weka.gui.beans.MetaBean
-
Get the custom (descriptive) name for this bean (if one has been set)
- getCustomName() - Method in class weka.gui.beans.ModelPerformanceChart
-
Get the custom (descriptive) name for this bean (if one has been set)
- getCustomName() - Method in class weka.gui.beans.PredictionAppender
-
Get the custom (descriptive) name for this bean (if one has been set)
- getCustomName() - Method in class weka.gui.beans.Saver
-
Get the custom (descriptive) name for this bean (if one has been set)
- getCustomName() - Method in class weka.gui.beans.SerializedModelSaver
-
Get the custom (descriptive) name for this bean (if one has been set)
- getCustomName() - Method in class weka.gui.beans.Sorter
-
Get the custom (descriptive) name for this bean (if one has been set)
- getCustomName() - Method in class weka.gui.beans.StripChart
-
Get the custom (descriptive) name for this bean (if one has been set)
- getCustomName() - Method in class weka.gui.beans.SubstringLabeler
-
Get the custom (descriptive) name for this bean (if one has been set)
- getCustomName() - Method in class weka.gui.beans.SubstringReplacer
-
Get the custom (descriptive) name for this bean (if one has been set)
- getCustomName() - Method in class weka.gui.beans.TestSetMaker
-
Get the custom (descriptive) name for this bean (if one has been set)
- getCustomName() - Method in class weka.gui.beans.TextSaver
-
- getCustomName() - Method in class weka.gui.beans.TextViewer
-
Get the custom (descriptive) name for this bean (if one has been set)
- getCustomName() - Method in class weka.gui.beans.TrainingSetMaker
-
Get the custom (descriptive) name for this bean (if one has been set)
- getCustomName() - Method in class weka.gui.beans.TrainTestSplitMaker
-
Get the custom (descriptive) name for this bean (if one has been set)
- getCustomPanel() - Method in class weka.gui.beans.EnvironmentField
-
Deprecated.
- getCustomPanel() - Method in interface weka.gui.CustomPanelSupplier
-
Gets the custom panel for the object.
- getCustomPanel() - Method in class weka.gui.EnvironmentField
-
- getCustomPanel() - Method in class weka.gui.GenericObjectEditor
-
Gets the custom panel used for editing the object.
- getCustomPanel() - Method in class weka.gui.PasswordField
-
- getCustomPropsFile() - Method in class weka.core.converters.DatabaseLoader
-
Returns the custom properties file in use, if any.
- getCustomPropsFile() - Method in class weka.core.converters.DatabaseSaver
-
Returns the custom properties file in use, if any.
- getCustomPropsFile() - Method in class weka.experiment.InstanceQuery
-
Returns the custom properties file in use, if any.
- getCustomWidth() - Method in class weka.gui.visualize.JComponentWriter
-
gets the custom width currently used
- getCutoff() - Method in class weka.clusterers.Cobweb
-
get the cutoff
- getCutPoints(int) - Method in class weka.filters.supervised.attribute.Discretize
-
Gets the cut points for an attribute
- getCutPoints(int) - Method in class weka.filters.unsupervised.attribute.Discretize
-
Gets the cut points for an attribute
- getCVisible() - Method in class weka.gui.treevisualizer.Node
-
Get If this node's childs are visible.
- getCVParameter(int) - Method in class weka.classifiers.meta.CVParameterSelection
-
Gets the scheme paramter with the given index.
- getCVParameters() - Method in class weka.classifiers.meta.CVParameterSelection
-
Get method for CVParameters.
- getCVPredictions(Classifier, Instances, int) - Method in class weka.classifiers.evaluation.EvaluationUtils
-
Generate a bunch of predictions ready for processing, by performing a
cross-validation on the supplied dataset.
- getCVType() - Method in class weka.classifiers.bayes.net.search.global.GlobalScoreSearchAlgorithm
-
get cross validation strategy to be used in searching for networks.
- getD() - Method in class weka.core.matrix.EigenvalueDecomposition
-
Return the block diagonal eigenvalue matrix
- getD00Parameter() - Method in class weka.core.pmml.jaxbbindings.BinarySimilarity
-
Gets the value of the d00Parameter property.
- getD01Parameter() - Method in class weka.core.pmml.jaxbbindings.BinarySimilarity
-
Gets the value of the d01Parameter property.
- getD10Parameter() - Method in class weka.core.pmml.jaxbbindings.BinarySimilarity
-
Gets the value of the d10Parameter property.
- getD11Parameter() - Method in class weka.core.pmml.jaxbbindings.BinarySimilarity
-
Gets the value of the d11Parameter property.
- getData() - Method in class weka.attributeSelection.BestFirst.Link2
-
Get a group
- getData() - Method in class weka.classifiers.rules.RuleStats
-
Get the data of the stats
- getData() - Method in class weka.core.AttributeLocator
-
returns the underlying data
- getData() - Method in class weka.core.converters.ArffLoader.ArffReader
-
Returns the data that was read
- getData() - Method in class weka.core.TestInstances
-
returns the current dataset, can be null
- getData() - Method in class weka.knowledgeflow.steps.DataGrid
-
Get the data to be output by this DataGrid
in textual ARFF format
- getDatabaseURL() - Method in class weka.experiment.DatabaseUtils
-
Get the value of DatabaseURL.
- getDataDictionary() - Method in class weka.classifiers.pmml.consumer.PMMLClassifier
-
Get the data dictionary.
- getDataDictionary() - Method in class weka.core.pmml.jaxbbindings.PMML
-
Gets the value of the dataDictionary property.
- getDataFields() - Method in class weka.core.pmml.jaxbbindings.DataDictionary
-
Gets the value of the dataField property.
- getDataFileName() - Method in class weka.classifiers.BVDecompose
-
Get the name of the data file used for the decomposition
- getDataFileName() - Method in class weka.classifiers.BVDecomposeSegCVSub
-
Get the name of the data file used for the decomposition
- GetDataFromResult - Class in weka.knowledgeflow.steps
-
Step that outputs data stored in the job environment
- GetDataFromResult() - Constructor for class weka.knowledgeflow.steps.GetDataFromResult
-
- getDataGenerator() - Method in class weka.knowledgeflow.steps.DataGenerator
-
get the data generator
- getDataName() - Method in class weka.core.pmml.jaxbbindings.ClusteringModelQuality
-
Gets the value of the dataName property.
- getDataName() - Method in class weka.core.pmml.jaxbbindings.PredictiveModelQuality
-
Gets the value of the dataName property.
- getDataPoint() - Method in class weka.gui.beans.ChartEvent
-
Get the data point
- getDataset() - Method in class weka.classifiers.CheckSource
-
Gets the dataset to use for testing, can be null.
- getDataSet() - Method in class weka.core.converters.AbstractLoader
-
- getDataSet() - Method in class weka.core.converters.ArffLoader
-
Return the full data set.
- getDataSet() - Method in class weka.core.converters.C45Loader
-
Return the full data set.
- getDataSet() - Method in class weka.core.converters.ConverterUtils.DataSource
-
returns the full dataset, can be null in case of an error.
- getDataSet(int) - Method in class weka.core.converters.ConverterUtils.DataSource
-
returns the full dataset with the specified class index set, can be null
in case of an error.
- getDataSet() - Method in class weka.core.converters.CSVLoader
-
- getDataSet() - Method in class weka.core.converters.DatabaseLoader
-
Return the full data set in batch mode (header and all intances at once).
- getDataSet() - Method in class weka.core.converters.JSONLoader
-
Return the full data set.
- getDataSet() - Method in class weka.core.converters.LibSVMLoader
-
Return the full data set.
- getDataSet() - Method in interface weka.core.converters.Loader
-
Return the full data set.
- getDataSet() - Method in class weka.core.converters.MatlabLoader
-
Return the full data set.
- getDataSet() - Method in class weka.core.converters.SerializedInstancesLoader
-
Return the full data set.
- getDataSet() - Method in class weka.core.converters.SVMLightLoader
-
Return the full data set.
- getDataSet() - Method in class weka.core.converters.TextDirectoryLoader
-
Return the full data set.
- getDataSet() - Method in class weka.core.converters.XRFFLoader
-
Return the full data set.
- getDataset() - Method in class weka.filters.CheckSource
-
Gets the dataset to use for testing, can be null.
- getDataSet() - Method in class weka.gui.beans.DataSetEvent
-
Return the instances of the data set
- getDataSet() - Method in class weka.gui.beans.ThresholdDataEvent
-
Return the instances of the data set
- getDataSet() - Method in class weka.gui.beans.VisualizableErrorEvent
-
Return the instances of the data set
- getDatasetFormat() - Method in class weka.datagenerators.DataGenerator
-
Gets the format of the dataset that is to be generated.
- getDatasetKeyColumns() - Method in class weka.experiment.PairedTTester
-
Get the value of DatasetKeyColumns.
- getDatasetKeyColumns() - Method in interface weka.experiment.Tester
-
Get the value of DatasetKeyColumns.
- getDatasets() - Method in class weka.experiment.Experiment
-
Gets the datasets in the experiment.
- getDatasets() - Method in class weka.knowledgeflow.steps.BaseSimpleDataVisualizer
-
Get the datasets seen so far
- getDatasetsFirst() - Static method in class weka.gui.experiment.ExperimenterDefaults
-
whether datasets or algorithms are iterated first.
- getDataType() - Method in class weka.core.pmml.jaxbbindings.Constant
-
Gets the value of the dataType property.
- getDataType() - Method in class weka.core.pmml.jaxbbindings.DataField
-
Gets the value of the dataType property.
- getDataType() - Method in class weka.core.pmml.jaxbbindings.DefineFunction
-
Gets the value of the dataType property.
- getDataType() - Method in class weka.core.pmml.jaxbbindings.DerivedField
-
Gets the value of the dataType property.
- getDataType() - Method in class weka.core.pmml.jaxbbindings.Discretize
-
Gets the value of the dataType property.
- getDataType() - Method in class weka.core.pmml.jaxbbindings.MapValues
-
Gets the value of the dataType property.
- getDataType() - Method in class weka.core.pmml.jaxbbindings.OutputField
-
Gets the value of the dataType property.
- getDataType() - Method in class weka.core.pmml.jaxbbindings.ParameterField
-
Gets the value of the dataType property.
- getDataType() - Method in class weka.core.pmml.jaxbbindings.ResultField
-
Gets the value of the dataType property.
- getDataType() - Method in class weka.gui.beans.xml.XMLBeans
-
returns the type of data that is to be read/written
- getDataUsage() - Method in class weka.core.pmml.jaxbbindings.PredictiveModelQuality
-
Gets the value of the dataUsage property.
- getDateAttributes() - Method in class weka.core.converters.CSVLoader
-
Returns the current attribute range to be forced to type date.
- getDateFormat() - Method in class weka.core.Attribute
-
Returns the Date format pattern in case this attribute is of type DATE,
otherwise an empty string.
- getDateFormat() - Method in class weka.core.converters.CSVLoader
-
Get the format to use for parsing date values.
- getDateFormat() - Method in class weka.filters.unsupervised.attribute.Add
-
Get the date format, complying to ISO-8601.
- getDateFormat() - Method in class weka.filters.unsupervised.attribute.AddUserFields.AttributeSpec
-
Get the date formatting string (if any)
- getDateFormat() - Method in class weka.filters.unsupervised.attribute.ChangeDateFormat
-
Get the date format used in output.
- getDateFormat() - Method in class weka.filters.unsupervised.attribute.NumericToDate
-
Get the date format used in output.
- getDateFormat() - Method in class weka.filters.unsupervised.attribute.ReplaceMissingWithUserConstant
-
Get the date format to use for parsing the date replacement constant
- getDateReplacementValue() - Method in class weka.filters.unsupervised.attribute.ReplaceMissingWithUserConstant
-
Get the date replacement value
- getDateValue() - Method in class weka.filters.unsupervised.attribute.AddUserFields.AttributeSpec
-
Get the value of the attribute as a date or null if the attribute isn't
of type date.
- getDbUtils() - Method in class weka.gui.sql.event.ConnectionEvent
-
returns the DbUtils instance that is responsible for the
connect/disconnect.
- getDbUtils() - Method in class weka.gui.sql.event.QueryExecuteEvent
-
returns the DbUtils instance that was executed the query
- getDebug() - Method in class weka.attributeSelection.CfsSubsetEval
-
Set whether to output debugging info
- getDebug() - Method in class weka.classifiers.AbstractClassifier
-
Get whether debugging is turned on.
- getDebug() - Method in class weka.classifiers.BVDecompose
-
Gets whether debugging is turned on
- getDebug() - Method in class weka.classifiers.BVDecomposeSegCVSub
-
Gets whether debugging is turned on
- getDebug() - Method in class weka.classifiers.functions.Logistic
-
Gets whether debugging output will be printed.
- getDebug() - Method in class weka.classifiers.functions.supportVector.Kernel
-
Gets whether debugging output is turned on or not.
- getDebug() - Method in class weka.classifiers.meta.MultiScheme
-
Get whether debugging is turned on
- getDebug() - Method in class weka.classifiers.rules.JRip
-
Gets whether debug information is output to the console
- getDebug() - Method in class weka.clusterers.AbstractClusterer
-
Get whether debugging is turned on.
- getDebug() - Method in class weka.clusterers.EM
-
Get debug mode
- getDebug() - Method in class weka.core.Check
-
Get whether debugging is turned on
- getDebug() - Method in class weka.core.converters.TextDirectoryLoader
-
Gets whether additional debug information is printed.
- getDebug() - Method in class weka.core.Debug.Random
-
returns whether to print the generated random values or not
- getDebug() - Method in class weka.core.stopwords.AbstractStopwords
-
Get whether debugging is turned on.
- getDebug() - Method in class weka.datagenerators.DataGenerator
-
Gets the debug flag.
- getDebug() - Method in class weka.estimators.CheckEstimator
-
Get whether debugging is turned on
- getDebug() - Method in class weka.estimators.Estimator
-
Get whether debugging is turned on.
- getDebug() - Method in class weka.experiment.DatabaseUtils
-
Gets whether there should be printed some debugging output to stderr or
not.
- getDebug() - Method in interface weka.experiment.InstanceQueryAdapter
-
Gets whether there should be printed some debugging output to stderr or not.
- getDebug() - Method in class weka.filters.Filter
-
Get whether debugging is turned on.
- getDebug() - Method in class weka.filters.unsupervised.attribute.AddExpression
-
Gets whether debug is set
- getDebug() - Method in class weka.gui.DatabaseConnectionDialog
-
Returns the debug flag
- getDebug() - Method in class weka.gui.knowledgeflow.MainKFPerspective
-
- getDebug() - Method in class weka.gui.scripting.ScriptingPanel
-
Returns whether debugging mode is on.
- getDebug() - Method in class weka.gui.SimpleCLIPanel.CommandlineCompletion
-
returns whether debug mode is on.
- getDebug() - Method in class weka.gui.streams.InstanceCounter
-
- getDebug() - Method in class weka.gui.streams.InstanceJoiner
-
- getDebug() - Method in class weka.gui.streams.InstanceLoader
-
- getDebug() - Method in class weka.gui.streams.InstanceSavePanel
-
- getDebug() - Method in class weka.gui.streams.InstanceTable
-
- getDebug() - Method in class weka.gui.streams.InstanceViewer
-
- getDebuggingOutput() - Method in class weka.attributeSelection.GreedyStepwise
-
Get whether to output debugging info to the console
- getDecay() - Method in class weka.classifiers.functions.MultilayerPerceptron
-
- getDecimals() - Method in class weka.filters.unsupervised.attribute.NumericCleaner
-
Get the number of decimals to round to.
- getDecision() - Method in class weka.core.pmml.jaxbbindings.Decisions
-
Gets the value of the decision property.
- getDecisions() - Method in class weka.core.pmml.jaxbbindings.OutputField
-
Gets the value of the decisions property.
- getDefault() - Method in class weka.core.Tee
-
returns the default printstrean, can be NULL.
- getDefaultChild() - Method in class weka.core.pmml.jaxbbindings.Node
-
Gets the value of the defaultChild property.
- getDefaultColNameWidth() - Method in class weka.experiment.ResultMatrix
-
returns the default width for the column names.
- getDefaultColNameWidth() - Method in class weka.experiment.ResultMatrixGnuPlot
-
returns the default width for the column names.
- getDefaultConfidence() - Method in class weka.core.pmml.jaxbbindings.RuleSet
-
Gets the value of the defaultConfidence property.
- getDefaultCountWidth() - Method in class weka.experiment.ResultMatrix
-
returns the default width for the counts.
- getDefaultCountWidth() - Method in class weka.experiment.ResultMatrixPlainText
-
returns the default width for the counts.
- getDefaultEnumerateColNames() - Method in class weka.experiment.ResultMatrix
-
returns the default of whether column names are prefixed with the index.
- getDefaultEnumerateColNames() - Method in class weka.experiment.ResultMatrixCSV
-
returns the default of whether column names are prefixed with the index.
- getDefaultEnumerateColNames() - Method in class weka.experiment.ResultMatrixGnuPlot
-
returns the default of whether column names are prefixed with the index.
- getDefaultEnumerateColNames() - Method in class weka.experiment.ResultMatrixHTML
-
returns the default of whether column names are prefixed with the index.
- getDefaultEnumerateColNames() - Method in class weka.experiment.ResultMatrixLatex
-
returns the default of whether column names are prefixed with the index.
- getDefaultEnumerateRowNames() - Method in class weka.experiment.ResultMatrix
-
returns theh default of whether row names are prefixed with the index.
- getDefaultEnumerateRowNames() - Method in class weka.experiment.ResultMatrixGnuPlot
-
returns the default of whether row names are prefixed with the index.
- getDefaultExtension() - Method in class weka.gui.scripting.GroovyScript
-
Returns the default extension.
- getDefaultExtension() - Method in class weka.gui.scripting.JythonScript
-
Returns the default extension.
- getDefaultExtension() - Method in class weka.gui.scripting.Script
-
Returns the default extension.
- getDefaultFlowExecutor() - Method in class weka.knowledgeflow.BaseExecutionEnvironment
-
Gets a new instance of the default flow executor suitable for use with this
execution environment
- getDefaultIconPath() - Method in class weka.knowledgeflow.steps.WekaAlgorithmWrapper
-
Get the default icon for this type of wrapped algorithm (i.e.
- getDefaultMeanPrec() - Method in class weka.experiment.ResultMatrix
-
returns the default precision for the means.
- getDefaultMeanWidth() - Method in class weka.experiment.ResultMatrix
-
returns the default width for the mean.
- getDefaultNumDecimals() - Method in class weka.classifiers.evaluation.output.prediction.AbstractOutput
-
Returns the default number of digits to output after the decimal point.
- getDefaultPackageLevelIconPath() - Method in class weka.knowledgeflow.steps.WekaAlgorithmWrapper
-
Get the default icon at the package level for this type of wrapped
algorithm - e.g.
- getDefaultPrintColNames() - Method in class weka.experiment.ResultMatrix
-
returns the default of whether column names or numbers instead are printed.
- getDefaultPrintColNames() - Method in class weka.experiment.ResultMatrixCSV
-
returns the default of whether column names or numbers instead are printed.
- getDefaultPrintColNames() - Method in class weka.experiment.ResultMatrixHTML
-
returns the default of whether column names or numbers instead are printed.
- getDefaultPrintColNames() - Method in class weka.experiment.ResultMatrixLatex
-
returns the default of whether column names or numbers instead are printed.
- getDefaultPrintColNames() - Method in class weka.experiment.ResultMatrixSignificance
-
returns the default of whether column names or numbers instead are printed.
- getDefaultPrintRowNames() - Method in class weka.experiment.ResultMatrix
-
returns the default of whether row names or numbers instead are printed.
- getDefaultRemoveFilterName() - Method in class weka.experiment.ResultMatrix
-
returns the default of whether the filter classname is removed from the
dataset name.
- getDefaultRowNameWidth() - Method in class weka.experiment.ResultMatrix
-
returns the default width for the row names.
- getDefaultRowNameWidth() - Method in class weka.experiment.ResultMatrixCSV
-
returns the default width for the row names.
- getDefaultRowNameWidth() - Method in class weka.experiment.ResultMatrixGnuPlot
-
returns the default width for the row names.
- getDefaultRowNameWidth() - Method in class weka.experiment.ResultMatrixHTML
-
returns the default width for the row names.
- getDefaultRowNameWidth() - Method in class weka.experiment.ResultMatrixPlainText
-
returns the default width for the row names.
- getDefaultRowNameWidth() - Method in class weka.experiment.ResultMatrixSignificance
-
returns the default width for the row names.
- getDefaults() - Method in class weka.core.Defaults
-
Get the map of default settings
- getDefaultScore() - Method in class weka.core.pmml.jaxbbindings.RuleSet
-
Gets the value of the defaultScore property.
- getDefaultSettings() - Method in class weka.core.packageManagement.DefaultPackageManager
-
Get the default settings for the default package manager
- getDefaultSettings() - Method in class weka.core.packageManagement.PackageManager
-
Get the default settings of this package manager.
- getDefaultSettings() - Method in class weka.gui.AbstractPerspective
-
Get the default settings for this perspective (or null if there are none)
- getDefaultSettings() - Method in class weka.gui.explorer.AssociationsPanel
-
- getDefaultSettings() - Method in class weka.gui.explorer.AttributeSelectionPanel
-
- getDefaultSettings() - Method in class weka.gui.explorer.ClassifierPanel
-
- getDefaultSettings() - Method in class weka.gui.explorer.ClustererPanel
-
- getDefaultSettings() - Method in class weka.gui.explorer.PreprocessPanel
-
- getDefaultSettings() - Method in class weka.gui.explorer.VisualizePanel
-
Default settings for the scatter plot
- getDefaultSettings() - Method in class weka.gui.knowledgeflow.AttributeSummaryPerspective
-
Get the default settings for this perspective
- getDefaultSettings() - Method in class weka.gui.knowledgeflow.BaseInteractiveViewer
-
Get default settings for the viewer.
- getDefaultSettings() - Method in class weka.gui.knowledgeflow.MainKFPerspective
-
Get the default settings for this perspective (or null if there are none)
- getDefaultSettings() - Method in class weka.gui.knowledgeflow.ScatterPlotMatrixPerspective
-
Get default settings
- getDefaultSettings() - Method in class weka.gui.knowledgeflow.steps.AttributeSummarizerInteractiveView
-
Get the default settings for this viewer
- getDefaultSettings() - Method in class weka.gui.knowledgeflow.steps.DataVisualizerInteractiveView
-
Get default settings for this viewer
- getDefaultSettings() - Method in class weka.gui.knowledgeflow.steps.ModelPerformanceChartInteractiveView
-
Get default settings for this viewer
- getDefaultSettings() - Method in class weka.gui.knowledgeflow.steps.ScatterPlotMatrixInteractiveView
-
Get the default settings of this viewer
- getDefaultSettings() - Method in class weka.gui.knowledgeflow.steps.StripChartInteractiveView
-
Get the default settings for this viewer
- getDefaultSettings() - Method in class weka.gui.knowledgeflow.steps.TextViewerInteractiveView
-
Get the default settings of this viewer
- getDefaultSettings() - Method in interface weka.gui.Perspective
-
Get the default settings for this perspective (or null if there are none)
- getDefaultSettings() - Method in class weka.gui.SimpleCLIPanel
-
- getDefaultSettings() - Method in class weka.knowledgeflow.BaseExecutionEnvironment
-
Get default settings for the base execution environment
- getDefaultSettings() - Method in interface weka.knowledgeflow.ExecutionEnvironment
-
Get default settings for this ExecutionEnvironment.
- getDefaultSettings() - Method in class weka.knowledgeflow.steps.BaseStep
-
Get default settings for the step (if any).
- getDefaultSettings() - Method in class weka.knowledgeflow.steps.ImageSaver
-
Get default settings for the step.
- getDefaultSettings() - Method in interface weka.knowledgeflow.steps.Step
-
Get default settings for the step (if any).
- getDefaultSettings() - Method in class weka.knowledgeflow.steps.TextSaver
-
Get default settings for the step (if any).
- getDefaultShowAverage() - Method in class weka.experiment.ResultMatrix
-
returns the default of whether average per column is displayed or not.
- getDefaultShowStdDev() - Method in class weka.experiment.ResultMatrix
-
returns the default of whether std deviations are displayed or not.
- getDefaultShowStdDev() - Method in class weka.experiment.ResultMatrixSignificance
-
returns the default of whether std deviations are displayed or not.
- getDefaultSignificanceWidth() - Method in class weka.experiment.ResultMatrix
-
returns the default width for the significance.
- getDefaultStdDevPrec() - Method in class weka.experiment.ResultMatrix
-
returns the default standard deviation precision.
- getDefaultStdDevWidth() - Method in class weka.experiment.ResultMatrix
-
returns the default width for the std dev.
- getDefaultValue() - Method in class weka.core.pmml.jaxbbindings.Discretize
-
Gets the value of the defaultValue property.
- getDefaultValue() - Method in class weka.core.pmml.jaxbbindings.INTSparseArray
-
Gets the value of the defaultValue property.
- getDefaultValue() - Method in class weka.core.pmml.jaxbbindings.MapValues
-
Gets the value of the defaultValue property.
- getDefaultValue() - Method in class weka.core.pmml.jaxbbindings.REALSparseArray
-
Gets the value of the defaultValue property.
- getDefaultValue() - Method in class weka.core.pmml.jaxbbindings.TargetValue
-
Gets the value of the defaultValue property.
- getDefaultValue() - Method in class weka.core.pmml.TargetMetaInfo
-
Get the default value (numeric target)
- getDefineFunction() - Method in class weka.core.pmml.jaxbbindings.TransformationDictionary
-
Gets the value of the defineFunction property.
- getDegree() - Method in class weka.core.pmml.jaxbbindings.PolynomialKernelType
-
Gets the value of the degree property.
- getDegreesOfFreedom() - Method in class weka.core.pmml.jaxbbindings.AnovaRow
-
Gets the value of the degreesOfFreedom property.
- getDegreesOfFreedom() - Method in class weka.core.pmml.jaxbbindings.PredictiveModelQuality
-
Gets the value of the degreesOfFreedom property.
- getDegreesOfFreedom() - Method in class weka.experiment.PairedStats
-
Gets the degrees of freedom.
- getDeleteEmptyBins() - Method in class weka.classifiers.meta.RegressionByDiscretization
-
Gets whether empty bins are deleted.
- getDelimiter() - Method in class weka.core.pmml.jaxbbindings.Delimiter
-
Gets the value of the delimiter property.
- getDelimiters() - Method in class weka.core.tokenizers.CharacterDelimitedTokenizer
-
Get the value of delimiters (not backquoted).
- getDelimiters() - Method in class weka.gui.scripting.SyntaxDocument
-
Returns the delimiter characters to use.
- getDelta() - Method in class weka.associations.Apriori
-
Get the value of delta.
- getDelta() - Method in class weka.associations.FPGrowth
-
Get the value of delta.
- getDelta() - Method in class weka.classifiers.bayes.net.search.global.SimulatedAnnealing
-
- getDelta() - Method in class weka.classifiers.bayes.net.search.local.SimulatedAnnealing
-
- getDelta() - Method in class weka.core.pmml.jaxbbindings.SeasonalityExpoSmooth
-
Gets the value of the delta property.
- getDensityBasedClusterer() - Method in class weka.filters.unsupervised.attribute.ClusterMembership
-
Get the clusterer used by this filter
- getDependencies() - Method in class weka.core.packageManagement.DefaultPackage
-
Get the list of packages that this package depends on.
- getDependencies() - Method in class weka.core.packageManagement.Package
-
Get the list of packages that this package depends on.
- getDerivedField() - Method in class weka.core.pmml.jaxbbindings.BayesInput
-
Gets the value of the derivedField property.
- getDerivedField() - Method in class weka.core.pmml.jaxbbindings.LocalTransformations
-
Gets the value of the derivedField property.
- getDerivedField() - Method in class weka.core.pmml.jaxbbindings.NeuralInput
-
Gets the value of the derivedField property.
- getDerivedField() - Method in class weka.core.pmml.jaxbbindings.NeuralOutput
-
Gets the value of the derivedField property.
- getDerivedField() - Method in class weka.core.pmml.jaxbbindings.TransformationDictionary
-
Gets the value of the derivedField property.
- getDerivedFields() - Method in class weka.core.pmml.MiningSchema
-
- getDerivedValue(double[]) - Method in class weka.core.pmml.DerivedFieldMetaInfo
-
Get the derived field value for the given incoming vector of values.
- getDescendantPopulationSize() - Method in class weka.classifiers.bayes.net.search.global.GeneticSearch
-
- getDescendantPopulationSize() - Method in class weka.classifiers.bayes.net.search.local.GeneticSearch
-
- getDescending() - Method in class weka.knowledgeflow.steps.Sorter.SortRule
-
Return true if the sort is descending
- getDescription() - Method in class weka.core.pmml.jaxbbindings.Decision
-
Gets the value of the description property.
- getDescription() - Method in class weka.core.pmml.jaxbbindings.Decisions
-
Gets the value of the description property.
- getDescription() - Method in class weka.core.pmml.jaxbbindings.Header
-
Gets the value of the description property.
- getDescription() - Method in class weka.core.pmml.jaxbbindings.LinearKernelType
-
Gets the value of the description property.
- getDescription() - Method in class weka.core.pmml.jaxbbindings.PolynomialKernelType
-
Gets the value of the description property.
- getDescription() - Method in class weka.core.pmml.jaxbbindings.RadialBasisKernelType
-
Gets the value of the description property.
- getDescription() - Method in class weka.core.pmml.jaxbbindings.SigmoidKernelType
-
Gets the value of the description property.
- getDescription() - Method in class weka.core.Settings.SettingKey
-
Get the description (display name) of this setting
- getDescription() - Method in class weka.gui.ExtensionFileFilter
-
Gets the description of accepted files.
- getDescription() - Method in class weka.gui.visualize.BMPWriter
-
returns the name of the writer, to display in the FileChooser.
- getDescription() - Method in class weka.gui.visualize.JComponentWriter
-
returns the name of the writer, to display in the FileChooser.
- getDescription() - Method in class weka.gui.visualize.JPEGWriter
-
returns the name of the writer, to display in the FileChooser.
- getDescription() - Method in class weka.gui.visualize.PNGWriter
-
returns the name of the writer, to display in the FileChooser.
- getDescription() - Method in class weka.gui.visualize.PostscriptWriter
-
returns the name of the writer, to display in the FileChooser.
- getDescription() - Method in class weka.knowledgeflow.BaseExecutionEnvironment
-
Get a description of this execution environment
- getDescription() - Method in interface weka.knowledgeflow.ExecutionEnvironment
-
Get a description of this execution environment
- getDesignVersion() - Method in interface weka.gui.visualize.plugins.ErrorVisualizePlugin
-
Get the specific version of Weka the class is designed for.
- getDesignVersion() - Method in interface weka.gui.visualize.plugins.GraphVisualizePlugin
-
Get the specific version of Weka the class is designed for.
- getDesignVersion() - Method in interface weka.gui.visualize.plugins.TreeVisualizePlugin
-
Get the specific version of Weka the class is designed for.
- getDesignVersion() - Method in interface weka.gui.visualize.plugins.VisualizePlugin
-
Get the specific version of Weka the class is designed for.
- getDesiredWeightOfInstancesPerInterval() - Method in class weka.filters.unsupervised.attribute.Discretize
-
Get the DesiredWeightOfInstancesPerInterval value.
- getDestination() - Static method in class weka.gui.experiment.ExperimenterDefaults
-
returns the default destination.
- getDetectionPerAttribute() - Method in class weka.filters.unsupervised.attribute.InterquartileRange
-
Gets whether an Outlier/ExtremeValue attribute pair is generated for each
numeric attribute ("true") or just one pair for all numeric attributes
together ("false").
- getDeviceConfiguration() - Method in class weka.gui.visualize.PostscriptGraphics
-
- getDF() - Method in class weka.core.pmml.jaxbbindings.MultivariateStat
-
Gets the value of the df property.
- getDf() - Method in class weka.core.pmml.jaxbbindings.PCell
-
Gets the value of the df property.
- getDiagDefault() - Method in class weka.core.pmml.jaxbbindings.Matrix
-
Gets the value of the diagDefault property.
- getDictionaries(boolean) - Method in class weka.core.DictionaryBuilder
-
Get the current dictionary(s) (one per class for nominal class, if set).
- getDictionary() - Method in class weka.classifiers.functions.SGDText
-
Get this model's dictionary (including term weights).
- getDictionaryFile() - Method in class weka.filters.unsupervised.attribute.FixedDictionaryStringToWordVector
-
Get the dictionary file to read from
- getDictionaryFileToSaveTo() - Method in class weka.filters.unsupervised.attribute.StringToWordVector
-
Set the dictionary file to save the dictionary to.
- getDictionaryHandler() - Method in class weka.filters.unsupervised.attribute.FixedDictionaryStringToWordVector
-
Get the dictionary builder used to manage the dictionary and perform the
actual vectorization
- getDictionaryIsBinary() - Method in class weka.filters.unsupervised.attribute.FixedDictionaryStringToWordVector
-
- getDictionarySize() - Method in class weka.classifiers.functions.SGDText
-
Return the size of the dictionary (minus any low frequency terms that are
below the threshold but haven't been pruned yet).
- getDir() - Method in class weka.core.Javadoc
-
returns the current dir containing the class to update.
- getDir() - Method in class weka.gui.Loader
-
returns the dir prefix
- getDirection() - Method in class weka.attributeSelection.BestFirst
-
Get the search direction
- getDirectory() - Method in class weka.core.converters.TextDirectoryLoader
-
get the Dir specified as the source
- getDirectory() - Method in class weka.gui.beans.SerializedModelSaver
-
Get the directory that the model(s) will be saved into
- getDiscardPredictions() - Method in class weka.classifiers.evaluation.Evaluation
-
Returns whether predictions are not recorded at all, in order to conserve
memory.
- getDiscardPredictions() - Method in class weka.classifiers.Evaluation
-
Returns whether predictions are not recorded at all, in order to conserve
memory.
- getDiscretize() - Method in class weka.core.pmml.jaxbbindings.DefineFunction
-
Gets the value of the discretize property.
- getDiscretize() - Method in class weka.core.pmml.jaxbbindings.DerivedField
-
Gets the value of the discretize property.
- getDiscretize() - Method in class weka.core.pmml.jaxbbindings.OutputField
-
Gets the value of the discretize property.
- getDiscretizeBin() - Method in class weka.core.pmml.jaxbbindings.Discretize
-
Gets the value of the discretizeBin property.
- getDiscretizer() - Method in class weka.classifiers.trees.j48.NBTreeNoSplit
-
Return the discretizer used at this node
- getDiscrStats() - Method in class weka.core.pmml.jaxbbindings.UnivariateStats
-
Gets the value of the discrStats property.
- getDisplay() - Method in class weka.classifiers.evaluation.output.prediction.AbstractOutput
-
Returns a short display text, to be used in comboboxes.
- getDisplay() - Method in class weka.classifiers.evaluation.output.prediction.CSV
-
Returns a short display text, to be used in comboboxes.
- getDisplay() - Method in class weka.classifiers.evaluation.output.prediction.HTML
-
Returns a short display text, to be used in comboboxes.
- getDisplay() - Method in class weka.classifiers.evaluation.output.prediction.InMemory
-
Returns a short display text, to be used in comboboxes.
- getDisplay() - Method in class weka.classifiers.evaluation.output.prediction.Null
-
Returns a short display text, to be used in comboboxes.
- getDisplay() - Method in class weka.classifiers.evaluation.output.prediction.PlainText
-
Returns a short display text, to be used in comboboxes.
- getDisplay() - Method in class weka.classifiers.evaluation.output.prediction.XML
-
Returns a short display text, to be used in comboboxes.
- getDisplay() - Method in enum weka.core.TechnicalInformation.Field
-
returns the display string
- getDisplay() - Method in enum weka.core.TechnicalInformation.Type
-
returns the display string
- getDisplayCol(int) - Method in class weka.experiment.ResultMatrix
-
returns the displayed index of the given col, depending on the order of
columns, returns -1 if index out of bounds.
- getDisplayedResultsets() - Method in class weka.experiment.PairedTTester
-
Gets the indices of the the datasets that are displayed (if
null
then all are displayed).
- getDisplayedResultsets() - Method in interface weka.experiment.Tester
-
Gets the indices of the the datasets that are displayed (if null
then all are displayed).
- getDisplayModelInOldFormat() - Method in class weka.classifiers.bayes.NaiveBayes
-
Get whether to display model output in the old, original format.
- getDisplayModelInOldFormat() - Method in class weka.clusterers.EM
-
Get whether to display model output in the old, original format.
- getDisplayName() - Method in class weka.core.pmml.jaxbbindings.DataField
-
Gets the value of the displayName property.
- getDisplayName() - Method in class weka.core.pmml.jaxbbindings.DerivedField
-
Gets the value of the displayName property.
- getDisplayName() - Method in class weka.core.pmml.jaxbbindings.OutputField
-
Gets the value of the displayName property.
- getDisplayName() - Method in class weka.core.pmml.jaxbbindings.ResultField
-
Gets the value of the displayName property.
- getDisplayName() - Method in class weka.core.pmml.jaxbbindings.TimeAnchor
-
Gets the value of the displayName property.
- getDisplayName() - Method in class weka.core.pmml.jaxbbindings.TimeCycle
-
Gets the value of the displayName property.
- getDisplayName() - Method in class weka.experiment.PairedCorrectedTTester
-
returns the name of the tester
- getDisplayName() - Method in class weka.experiment.PairedTTester
-
returns the name of the tester
- getDisplayName() - Method in class weka.experiment.ResultMatrix
-
returns the name of the output format.
- getDisplayName() - Method in class weka.experiment.ResultMatrixCSV
-
returns the name of the output format.
- getDisplayName() - Method in class weka.experiment.ResultMatrixGnuPlot
-
returns the name of the output format.
- getDisplayName() - Method in class weka.experiment.ResultMatrixHTML
-
returns the name of the output format.
- getDisplayName() - Method in class weka.experiment.ResultMatrixLatex
-
returns the name of the output format.
- getDisplayName() - Method in class weka.experiment.ResultMatrixPlainText
-
returns the name of the output format.
- getDisplayName() - Method in class weka.experiment.ResultMatrixSignificance
-
returns the name of the output format.
- getDisplayName() - Method in interface weka.experiment.Tester
-
returns the name of the testing algorithm
- getDisplayRow(int) - Method in class weka.experiment.ResultMatrix
-
returns the displayed index of the given row, depending on the order of
rows, returns -1 if index out of bounds.
- getDisplayRules() - Method in class weka.classifiers.rules.DecisionTable
-
Gets whether rules are being printed
- getDisplayStdDevs() - Method in class weka.clusterers.SimpleKMeans
-
Gets whether standard deviations and nominal count.
- getDisplayStepLabel() - Method in class weka.gui.knowledgeflow.NoteVisual
-
- getDisplayStepLabel() - Method in class weka.gui.knowledgeflow.StepVisual
-
Returns true if the step label is to be displayed.
- getDisplayValue() - Method in class weka.core.pmml.FieldMetaInfo.Value
-
- getDisplayValue() - Method in class weka.core.pmml.jaxbbindings.Decision
-
Gets the value of the displayValue property.
- getDisplayValue() - Method in class weka.core.pmml.jaxbbindings.TargetValue
-
Gets the value of the displayValue property.
- getDisplayValue() - Method in class weka.core.pmml.jaxbbindings.Value
-
Gets the value of the displayValue property.
- getDistance() - Method in class weka.core.FilteredDistance
-
Gets the distance used.
- getDistanceFunction() - Method in class weka.clusterers.HierarchicalClusterer
-
- getDistanceFunction() - Method in class weka.clusterers.SimpleKMeans
-
returns the distance function currently in use.
- getDistanceFunction() - Method in class weka.core.neighboursearch.KDTree
-
returns the distance function currently in use.
- getDistanceFunction() - Method in class weka.core.neighboursearch.NearestNeighbourSearch
-
returns the distance function currently in use.
- getDistanceIsBranchLength() - Method in class weka.clusterers.HierarchicalClusterer
-
- getDistances() - Method in class weka.core.neighboursearch.BallTree
-
Returns the distances of the k nearest neighbours.
- getDistances() - Method in class weka.core.neighboursearch.CoverTree
-
Returns the distances of the (k)-NN(s) found earlier by
kNearestNeighbours()/nearestNeighbour().
- getDistances() - Method in class weka.core.neighboursearch.FilteredNeighbourSearch
-
Returns the distances for the nearest neighbours in the FILTERED space
- getDistances() - Method in class weka.core.neighboursearch.KDTree
-
Returns the distances to the kNearest or 1 nearest neighbour currently
found with either the kNearestNeighbours or the nearestNeighbour method.
- getDistances() - Method in class weka.core.neighboursearch.LinearNNSearch
-
Returns the distances of the k nearest neighbours.
- getDistances() - Method in class weka.core.neighboursearch.NearestNeighbourSearch
-
Returns the distances of the k nearest neighbours.
- getDistanceWeighting() - Method in class weka.classifiers.lazy.IBk
-
Gets the distance weighting method used.
- getDistMult() - Method in class weka.datagenerators.clusterers.BIRCHCluster
-
Gets the distance multiplier.
- getDistParameter() - Method in class weka.core.pmml.jaxbbindings.GeneralRegressionModel
-
Gets the value of the distParameter property.
- getDistribution(String) - Method in class weka.classifiers.bayes.net.EditableBayesNet
-
returns distribution of a node in matrix form with matrix representing
distribution with P[i][j] = P(node = j | parent configuration = i)
- getDistribution(int) - Method in class weka.classifiers.bayes.net.EditableBayesNet
-
returns distribution of a node in matrix form with matrix representing
distribution with P[i][j] = P(node = j | parent configuration = i)
- getDistribution(Instance, Attribute) - Method in class weka.classifiers.trees.ht.HNode
-
Return a class probability distribution computed from the frequency counts
at this node
- getDistribution(Instance, Attribute) - Method in class weka.classifiers.trees.ht.NBNode
-
- getDistribution(Instance, Attribute) - Method in class weka.classifiers.trees.ht.NBNodeAdaptive
-
- getDistribution() - Method in class weka.core.pmml.jaxbbindings.GeneralRegressionModel
-
Gets the value of the distribution property.
- getDistribution() - Method in class weka.filters.unsupervised.attribute.RandomProjection
-
Returns the current distribution that'll be used for calculating the random
matrix
- getDistributions() - Method in class weka.classifiers.bayes.BayesNet
-
Get full set of estimators.
- getDistributions(int) - Method in class weka.classifiers.rules.RuleStats
-
Get the class distribution predicted by the rule in given position
- getDistributionSpread() - Method in class weka.filters.supervised.instance.SpreadSubsample
-
Gets the value for the distribution spread
- getDocType() - Method in class weka.core.xml.XMLDocument
-
returns the current DOCTYPE, can be null
.
- getDocument() - Method in class weka.core.xml.XMLDocument
-
returns the parsed DOM document.
- getDocument() - Method in class weka.core.xml.XMLOptions
-
returns the parsed DOM document.
- getDocument() - Method in class weka.gui.DocumentPrinting
-
Returns the document to print.
- getDocumentNormalization() - Method in class weka.core.pmml.jaxbbindings.TextModelNormalization
-
Gets the value of the documentNormalization property.
- getDoNotCheckCapabilities() - Method in class weka.associations.AbstractAssociator
-
Get whether capabilities checking is turned off.
- getDoNotCheckCapabilities() - Method in class weka.attributeSelection.ASEvaluation
-
Get whether capabilities checking is turned off.
- getDoNotCheckCapabilities() - Method in class weka.classifiers.AbstractClassifier
-
Get whether capabilities checking is turned off.
- getDoNotCheckCapabilities() - Method in class weka.classifiers.functions.supportVector.Kernel
-
- getDoNotCheckCapabilities() - Method in class weka.clusterers.AbstractClusterer
-
Get whether capabilities checking is turned off.
- getDoNotCheckCapabilities() - Method in interface weka.core.CapabilitiesIgnorer
-
Returns true if we do not actually want to check
capabilities to conserver runtime.
- getDoNotCheckCapabilities() - Method in class weka.core.converters.AbstractSaver
-
Get whether capabilities checking is turned off.
- getDoNotCheckCapabilities() - Method in class weka.core.FindWithCapabilities
-
Get whether capabilities checking is turned off.
- getDoNotCheckCapabilities() - Method in class weka.estimators.Estimator
-
Get whether capabilities checking is turned off.
- getDoNotCheckCapabilities() - Method in class weka.filters.Filter
-
Get whether capabilities checking is turned off.
- getDoNotCheckForModifiedClassAttribute() - Method in class weka.classifiers.meta.FilteredClassifier
-
Returns true if classifier checks whether class attribute has been modified by filter.
- getDoNotMakeSplitPointActualValue() - Method in class weka.classifiers.rules.PART
-
Gets the value of doNotMakeSplitPointActualValue.
- getDoNotMakeSplitPointActualValue() - Method in class weka.classifiers.trees.J48
-
Gets the value of doNotMakeSplitPointActualValue.
- getDoNotMakeSplitPointActualValue() - Method in class weka.classifiers.trees.LMT
-
Gets the value of doNotMakeSplitPointActualValue.
- getDoNotOperateOnPerClassBasis() - Method in class weka.core.converters.DictionarySaver
-
Get the DoNotOperateOnPerClassBasis value.
- getDoNotOperateOnPerClassBasis() - Method in class weka.core.DictionaryBuilder
-
Get the DoNotOperateOnPerClassBasis value.
- getDoNotOperateOnPerClassBasis() - Method in class weka.filters.unsupervised.attribute.StringToWordVector
-
Get the DoNotOperateOnPerClassBasis value.
- getDoNotPrintModels() - Method in class weka.classifiers.meta.Vote
-
Get whether to print the individual ensemble models in the output
- getDoNotStandardizeAttributes() - Method in class weka.classifiers.functions.Logistic
-
Gets whether not to standardize attributes.
- getDontFilterAfterFirstBatch() - Method in class weka.filters.unsupervised.instance.RemoveWithValues
-
Get whether to apply the filter to instances that arrive once the first
(training) batch has been seen.
- getDontNormalize() - Method in class weka.classifiers.functions.SGD
-
Get whether normalization has been turned off.
- getDontNormalize() - Method in class weka.core.NormalizableDistance
-
Gets whether if the attribute values are to be normazlied in distance
calculation.
- getDontReplaceMissing() - Method in class weka.classifiers.functions.SGD
-
Get whether global replacement of missing values has been disabled.
- getDontReplaceMissingValues() - Method in class weka.clusterers.Canopy
-
Gets whether missing values are to be replaced.
- getDontReplaceMissingValues() - Method in class weka.clusterers.SimpleKMeans
-
Gets whether missing values are to be replaced.
- getDontShowDialog(String) - Static method in class weka.core.Utils
-
For a named dialog, returns true if the user has opted not to view it again
in the future.
- getDontShowDialogResponse(String) - Static method in class weka.core.Utils
-
For a named dialog, if the user has opted not to view it again, returns the
answer the answer the user supplied when they closed the dialog.
- getDoublePivot() - Method in class weka.core.matrix.LUDecomposition
-
Return pivot permutation vector as a one-dimensional double array
- getDownstreamStepNames() - Method in class weka.knowledgeflow.steps.FlowByExpression
-
Get a list of the names of connected downstream steps
- getDynamicArgsField() - Method in class weka.knowledgeflow.steps.ExecuteProcess
-
Get the name of the attribute in the incoming instance structure that
contains the arguments to the command to execute
- getDynamicCmdField() - Method in class weka.knowledgeflow.steps.ExecuteProcess
-
Get the name of the attribute in the incoming instance structure that
contains the command to execute
- getDynamicVarsInternalRep() - Method in class weka.knowledgeflow.steps.SetVariables
-
- getDynamicWorkingDirField() - Method in class weka.knowledgeflow.steps.ExecuteProcess
-
Get the name of the attribute in the incoming instance structure that
containst the working directory for the command to execute
- getEdited() - Method in class weka.gui.knowledgeflow.VisibleLayout
-
Get whether this flow has been altered since the last save operation
- getEditedStatus() - Method in class weka.gui.beans.KnowledgeFlowApp.MainKFPerspective
-
Get the edited status of the currently selected tab.
- getEditedStatus(int) - Method in class weka.gui.beans.KnowledgeFlowApp.MainKFPerspective
-
Get the edited status of the tab at the supplied index.
- getEditor() - Method in class weka.gui.PropertyDialog
-
Gets the current property editor.
- getEditorActive() - Method in class weka.gui.experiment.GeneratorPropertyIteratorPanel
-
Returns true if the editor is currently in an active status---that is the
array is active and able to be edited.
- getEigenValues() - Method in class weka.attributeSelection.PrincipalComponents
-
Return the eigenvalues corresponding to the eigenvectors
- getElement(int, int) - Method in class weka.classifiers.CostMatrix
-
Return the value of a cell as a double (for legacy code)
- getElement(int, int, Instance) - Method in class weka.classifiers.CostMatrix
-
Return the value of a cell as a double.
- getElement(int) - Method in class weka.core.AlgVector
-
Returns the value of a cell in the matrix.
- getElement(int, int) - Method in class weka.core.Matrix
-
Deprecated.
Returns the value of a cell in the matrix.
- getElementAt(int) - Method in class weka.gui.CheckBoxList.CheckBoxListModel
-
Returns the component at the specified index.
- getElements() - Method in class weka.core.AlgVector
-
Gets the elements of the vector and returns them as double array.
- getEliminateColinearAttributes() - Method in class weka.classifiers.functions.LinearRegression
-
Get the value of EliminateColinearAttributes.
- getEnabled() - Method in class weka.core.Debug
-
returns whether the logging is enabled
- getEnclosureCharacters() - Method in class weka.core.converters.CSVLoader
-
Get the character(s) to use/recognize as string enclosures
- getEndTime() - Method in class weka.core.pmml.jaxbbindings.TimeSeries
-
Gets the value of the endTime property.
- getEndTimeVariable() - Method in class weka.core.pmml.jaxbbindings.GeneralRegressionModel
-
Gets the value of the endTimeVariable property.
- getEntropicAutoBlend() - Method in class weka.classifiers.lazy.KStar
-
Get whether entropic blending being used
- getEntry(double) - Method in class weka.classifiers.lazy.kstar.KStarCache.CacheTable
-
Returns the table entry to which the specified key is mapped in this
hashtable.
- getEntry(String, String, Class<?>) - Method in interface weka.core.metastore.MetaStore
-
Get a named entry from the store
- getEntry(String, String, Class<?>) - Method in class weka.core.metastore.XMLFileBasedMetaStore
-
- getEnumClass() - Method in class weka.core.EnumHelper
-
Get the fully qualified enum class name
- getEnumerateColNames() - Method in class weka.experiment.ResultMatrix
-
returns whether column names are prefixed with the index.
- getEnumerateRowNames() - Method in class weka.experiment.ResultMatrix
-
returns whether row names or prefixed with the index.
- getEnvironment() - Method in class weka.gui.beans.FlowRunner
-
Get the environment variables that are in use.
- getEnvironment() - Method in class weka.gui.knowledgeflow.StepEditorDialog
-
Get environment variables
- getEnvironment() - Method in class weka.gui.knowledgeflow.VisibleLayout
-
Get the environment variables being used by this layout
- getEnvironmentSettings() - Method in class weka.gui.beans.KnowledgeFlowApp.MainKFPerspective
-
- getEnvironmentSettings(int) - Method in class weka.gui.beans.KnowledgeFlowApp.MainKFPerspective
-
- getEnvironmentVariables() - Method in class weka.knowledgeflow.BaseExecutionEnvironment
-
Get environment variables for this execution environment
- getEnvironmentVariables() - Method in interface weka.knowledgeflow.ExecutionEnvironment
-
Get environment variables for this execution environment
- getEpilogue() - Method in class weka.datagenerators.DataGenerator
-
Gets the epilogue string.
- getEpochs() - Method in class weka.classifiers.functions.SGD
-
Get current number of epochs
- getEpochs() - Method in class weka.classifiers.functions.SGDText
-
Get current number of epochs
- getEpsilon() - Method in class weka.classifiers.functions.SGD
-
Get the epsilon threshold on the error for epsilon insensitive and Huber
loss functions
- getEpsilon() - Method in class weka.classifiers.functions.SMO
-
Get the value of epsilon.
- getEpsilon() - Method in class weka.classifiers.functions.supportVector.RegSMO
-
Get the value of epsilon.
- getEpsilonParameter() - Method in class weka.classifiers.functions.supportVector.RegOptimizer
-
Get the value of epsilon parameter of the epsilon insensitive loss
function.
- getError() - Method in class weka.classifiers.BVDecompose
-
Get the calculated error rate
- getError() - Method in class weka.classifiers.BVDecomposeSegCVSub
-
Get the calculated error rate
- getError() - Method in class weka.knowledgeflow.ExecutionResult
-
Get the Exception generated during processing of a StepTask, or null
if the task completed successfully.
- getErrorOnProbabilities() - Method in class weka.classifiers.functions.SimpleLogistic
-
Get the value of errorOnProbabilities.
- getErrorOnProbabilities() - Method in class weka.classifiers.trees.LMT
-
Get the value of errorOnProbabilities.
- getErrorPlotPointSizeProportionalToMargin() - Method in class weka.gui.beans.ClassifierPerformanceEvaluator
-
Get whether the point size on classification error plots should be
proportional to the prediction margin.
- getErrorPlotPointSizeProportionalToMargin() - Method in class weka.knowledgeflow.steps.ClassifierPerformanceEvaluator
-
Get whether the size of plot data points will be proportional to the
prediction margin
- getErrors() - Method in class weka.classifiers.trees.j48.NBTreeNoSplit
-
Return the errors made by the naive bayes model at this node
- getErrors() - Method in class weka.classifiers.trees.j48.NBTreeSplit
-
Return the errors made by the naive bayes models arising from this split.
- getEstimatedErrorsForLeaf() - Method in class weka.classifiers.rules.part.C45PruneableDecList
-
Computes estimated errors for leaf.
- getEstimator() - Method in class weka.classifiers.bayes.BayesNet
-
Get the BayesNetEstimator used for calculating the CPTs
- getEstimator() - Method in class weka.classifiers.meta.RegressionByDiscretization
-
Get the estimator
- getEstimator() - Method in class weka.estimators.CheckEstimator
-
Get the estimator used as the estimator
- getEstimator(double) - Method in interface weka.estimators.ConditionalEstimator
-
Get a probability estimator for a value
- getEstimator(double) - Method in class weka.estimators.DDConditionalEstimator
-
Get a probability estimator for a value
- getEstimator(double) - Method in class weka.estimators.DKConditionalEstimator
-
Get a probability estimator for a value
- getEstimator(double) - Method in class weka.estimators.DNConditionalEstimator
-
Get a probability estimator for a value
- getEstimator(double) - Method in class weka.estimators.KDConditionalEstimator
-
Get a probability estimator for a value
- getEstimator(double) - Method in class weka.estimators.KKConditionalEstimator
-
Get a probability estimator for a value
- getEstimator(double) - Method in class weka.estimators.NDConditionalEstimator
-
Get a probability estimator for a value
- getEstimator(double) - Method in class weka.estimators.NNConditionalEstimator
-
Get a probability estimator for a value
- getEstimator() - Method in class weka.filters.supervised.attribute.ClassConditionalProbabilities
-
Get the naive Bayes estimator in use
- getEuclidean() - Method in class weka.core.pmml.jaxbbindings.ComparisonMeasure
-
Gets the value of the euclidean property.
- getEvaluateWithRespectToCosts() - Method in class weka.knowledgeflow.steps.ClassifierPerformanceEvaluator
-
Get whether to evaluate with respoect to costs
- getEvaluation() - Method in class weka.gui.explorer.ClassifierErrorsPlotInstances
-
Returns the Evaluation object in use.
- getEvaluationMeasure() - Method in class weka.attributeSelection.ClassifierAttributeEval
-
Gets the currently set performance evaluation measure used for selecting
attributes for the decision table
- getEvaluationMeasure() - Method in class weka.attributeSelection.ClassifierSubsetEval
-
Gets the currently set performance evaluation measure used for selecting
attributes for the decision table
- getEvaluationMeasure() - Method in class weka.attributeSelection.WrapperSubsetEval
-
Gets the currently set performance evaluation measure used for selecting
attributes for the decision table
- getEvaluationMeasure() - Method in class weka.classifiers.rules.DecisionTable
-
Gets the currently set performance evaluation measure used for selecting
attributes for the decision table
- getEvaluationMetric() - Method in class weka.classifiers.meta.IterativeClassifierOptimizer
-
Get the evaluation metric to use
- getEvaluationMetricsToOutput() - Method in class weka.gui.beans.ClassifierPerformanceEvaluator
-
Get the evaluation metrics to output (as a comma-separated list).
- getEvaluationMetricsToOutput() - Method in class weka.knowledgeflow.steps.ClassifierPerformanceEvaluator
-
Get the evaluation metrics to output (as a comma-separated list).
- getEvaluator() - Method in class weka.attributeSelection.CheckAttributeSelection
-
Get the current evaluator
- getEvaluator() - Method in class weka.classifiers.meta.AttributeSelectedClassifier
-
Gets the attribute evaluator used
- getEvaluator() - Method in class weka.filters.supervised.attribute.AttributeSelection
-
Get the name of the attribute/subset evaluator
- getEvaluator() - Method in class weka.knowledgeflow.steps.ASEvaluator
-
Get the evaluator wrapped by this step
- getEvalUsingTrainingData() - Method in class weka.attributeSelection.OneRAttributeEval
-
Returns true if the training data is to be used for evaluation
- getEventName() - Method in class weka.gui.beans.BeanConnection
-
Returns the name of the event for this conncetion
- getEventSetDescriptors() - Method in class weka.gui.beans.AbstractDataSinkBeanInfo
-
Get the event set descriptors for this bean
- getEventSetDescriptors() - Method in class weka.gui.beans.AbstractDataSourceBeanInfo
-
Get the event set descriptors pertinent to data sources
- getEventSetDescriptors() - Method in class weka.gui.beans.AbstractTestSetProducerBeanInfo
-
- getEventSetDescriptors() - Method in class weka.gui.beans.AbstractTrainAndTestSetProducerBeanInfo
-
- getEventSetDescriptors() - Method in class weka.gui.beans.AbstractTrainingSetProducerBeanInfo
-
Returns event set descriptors for this type of bean
- getEventSetDescriptors() - Method in class weka.gui.beans.AppenderBeanInfo
-
Returns the event set descriptors
- getEventSetDescriptors() - Method in class weka.gui.beans.AssociatorBeanInfo
-
- getEventSetDescriptors() - Method in class weka.gui.beans.AttributeSummarizerBeanInfo
-
Get the event set descriptors for this bean
- getEventSetDescriptors() - Method in class weka.gui.beans.ClassAssignerBeanInfo
-
Returns the event set descriptors
- getEventSetDescriptors() - Method in class weka.gui.beans.ClassifierBeanInfo
-
- getEventSetDescriptors() - Method in class weka.gui.beans.ClassifierPerformanceEvaluatorBeanInfo
-
- getEventSetDescriptors() - Method in class weka.gui.beans.ClassValuePickerBeanInfo
-
Returns the event set descriptors
- getEventSetDescriptors() - Method in class weka.gui.beans.ClustererBeanInfo
-
- getEventSetDescriptors() - Method in class weka.gui.beans.ClustererPerformanceEvaluatorBeanInfo
-
- getEventSetDescriptors() - Method in class weka.gui.beans.CostBenefitAnalysisBeanInfo
-
Get the event set descriptors for this bean
- getEventSetDescriptors() - Method in class weka.gui.beans.DataVisualizerBeanInfo
-
Get the event set descriptors for this bean
- getEventSetDescriptors() - Method in class weka.gui.beans.FilterBeanInfo
-
Get the event set descriptors for this bean
- getEventSetDescriptors() - Method in class weka.gui.beans.FlowByExpressionBeanInfo
-
Returns the event set descriptors
- getEventSetDescriptors() - Method in class weka.gui.beans.GraphViewerBeanInfo
-
Get the event set descriptors for this bean
- getEventSetDescriptors() - Method in class weka.gui.beans.ImageSaverBeanInfo
-
Get the event set descriptors for this bean
- getEventSetDescriptors() - Method in class weka.gui.beans.ImageViewerBeanInfo
-
Get the event set descriptors for this bean
- getEventSetDescriptors() - Method in class weka.gui.beans.IncrementalClassifierEvaluatorBeanInfo
-
Get the event set descriptors for this bean
- getEventSetDescriptors() - Method in class weka.gui.beans.InstanceStreamToBatchMakerBeanInfo
-
Returns the event set descriptors
- getEventSetDescriptors() - Method in class weka.gui.beans.JoinBeanInfo
-
Returns the event set descriptors
- getEventSetDescriptors() - Method in class weka.gui.beans.ModelPerformanceChartBeanInfo
-
Get the event set descriptors for this bean
- getEventSetDescriptors() - Method in class weka.gui.beans.NoteBeanInfo
-
- getEventSetDescriptors() - Method in class weka.gui.beans.PredictionAppenderBeanInfo
-
Get the event set descriptors pertinent to data sources
- getEventSetDescriptors() - Method in class weka.gui.beans.ScatterPlotMatrixBeanInfo
-
Get the event set descriptors for this bean
- getEventSetDescriptors() - Method in class weka.gui.beans.SerializedModelSaverBeanInfo
-
Get the event set descriptors for this bean
- getEventSetDescriptors() - Method in class weka.gui.beans.SorterBeanInfo
-
Returns the event set descriptors
- getEventSetDescriptors() - Method in class weka.gui.beans.StripChartBeanInfo
-
Get the event set descriptors for this bean
- getEventSetDescriptors() - Method in class weka.gui.beans.SubstringLabelerBeanInfo
-
Returns the event set descriptors
- getEventSetDescriptors() - Method in class weka.gui.beans.SubstringReplacerBeanInfo
-
Returns the event set descriptors
- getEventSetDescriptors() - Method in class weka.gui.beans.TextSaverBeanInfo
-
Get the event set descriptors for this bean
- getEventSetDescriptors() - Method in class weka.gui.beans.TextViewerBeanInfo
-
Get the event set descriptors for this bean
- getEvidence(int) - Method in class weka.classifiers.bayes.net.EditableBayesNet
-
get evidence state of a node.
- getException() - Method in class weka.gui.sql.event.ConnectionEvent
-
returns the stored exception, if any (can be NULL)
- getException() - Method in class weka.gui.sql.event.QueryExecuteEvent
-
returns the exception, if one happened, otherwise NULL
- getExcludeNominalAttributes() - Method in class weka.filters.supervised.attribute.ClassConditionalProbabilities
-
Get whether nominal attributes are to be excluded from the transformation
- getExcludeNumericAttributes() - Method in class weka.filters.supervised.attribute.ClassConditionalProbabilities
-
Get whether numeric attributes are being excluded from the transformation
- getExecuting() - Method in class weka.gui.beans.KnowledgeFlowApp.MainKFPerspective
-
- getExecuting(int) - Method in class weka.gui.beans.KnowledgeFlowApp.MainKFPerspective
-
- getExecutionEnvironment() - Method in interface weka.knowledgeflow.FlowExecutor
-
Return the execution environment object for this flow executor
- getExecutionEnvironment() - Method in class weka.knowledgeflow.FlowRunner
-
- getExecutionEnvironment() - Method in interface weka.knowledgeflow.StepManager
-
Get the executing environment.
- getExecutionEnvironment() - Method in class weka.knowledgeflow.StepManagerImpl
-
Get the execution environment the managed step is running in
- getExecutionSlots() - Method in class weka.gui.beans.Classifier
-
Get the number of execution slots (threads) used to train models.
- getExecutionSlots() - Method in class weka.gui.beans.ClassifierPerformanceEvaluator
-
Get the number of execution slots to use.
- getExecutionStatus() - Method in class weka.experiment.TaskStatusInfo
-
Get the execution status of this Task.
- getExecutionThread() - Method in class weka.gui.beans.KnowledgeFlowApp.MainKFPerspective
-
- getExecutionThread(int) - Method in class weka.gui.beans.KnowledgeFlowApp.MainKFPerspective
-
- getExitIfNoWindowsOpen() - Static method in class weka.gui.boundaryvisualizer.BoundaryVisualizer
-
Gets whether System.exit gets called after the last window gets closed
- getExitOnClose() - Method in class weka.gui.arffviewer.ArffViewer
-
returns TRUE if a System.exit(0) is done on a close
- getExitOnClose() - Method in class weka.gui.arffviewer.ArffViewerMainPanel
-
returns TRUE if a System.exit(0) is done on a close
- getExpectedResultsPerAverage() - Method in class weka.experiment.AveragingResultProducer
-
Get the value of ExpectedResultsPerAverage.
- getExperiment() - Method in class weka.experiment.RemoteExperimentSubTask
-
Get the experiment for this sub task
- getExperiment() - Method in class weka.gui.experiment.AbstractSetupPanel
-
Gets the currently configured experiment.
- getExperiment() - Method in class weka.gui.experiment.SetupModePanel
-
Gets the currently configured experiment.
- getExperiment() - Method in class weka.gui.experiment.SetupPanel
-
Gets the currently configured experiment.
- getExperiment() - Method in class weka.gui.experiment.SimpleSetupPanel
-
Gets the currently configured experiment.
- getExperimentType() - Static method in class weka.gui.experiment.ExperimenterDefaults
-
returns the default experiment type.
- getExplicitPropsFile() - Method in class weka.gui.GenericPropertiesCreator
-
returns TRUE, if a file is loaded and not the Utils class used for locating
the props file.
- getExplorer() - Method in class weka.gui.explorer.AssociationsPanel
-
returns the parent Explorer frame
- getExplorer() - Method in class weka.gui.explorer.AttributeSelectionPanel
-
returns the parent Explorer frame
- getExplorer() - Method in class weka.gui.explorer.ClassifierPanel
-
returns the parent Explorer frame.
- getExplorer() - Method in class weka.gui.explorer.ClustererPanel
-
returns the parent Explorer frame
- getExplorer() - Method in interface weka.gui.explorer.Explorer.ExplorerPanel
-
returns the parent Explorer frame
- getExplorer() - Method in class weka.gui.explorer.PreprocessPanel
-
returns the parent Explorer frame
- getExplorer() - Method in class weka.gui.explorer.VisualizePanel
-
returns the parent Explorer frame
- getExponent() - Method in class weka.classifiers.functions.supportVector.PolyKernel
-
Gets the exponent value.
- getExponent() - Method in class weka.classifiers.functions.VotedPerceptron
-
Get the value of exponent.
- getExponent() - Method in class weka.core.pmml.jaxbbindings.MultivariateStat
-
Gets the value of the exponent property.
- getExponent() - Method in class weka.core.pmml.jaxbbindings.NumericPredictor
-
Gets the value of the exponent property.
- getExpression(Node, FieldMetaInfo.Optype, ArrayList<Attribute>, TransformationDictionary) - Static method in class weka.core.pmml.Expression
-
Static factory method that returns a subclass of Expression that
encapsulates the type of expression contained in the Element
supplied.
- getExpression(String, Node, FieldMetaInfo.Optype, ArrayList<Attribute>, TransformationDictionary) - Static method in class weka.core.pmml.Expression
-
Static factory method that returns a subclass of Expression that
encapsulates the type of expression supplied as an argument.
- getEXPRESSION() - Method in class weka.core.pmml.jaxbbindings.Apply
-
Gets the value of the expression property.
- getExpression() - Method in class weka.datagenerators.classifiers.regression.Expression
-
Gets the mathematical expression for generating y out of x
- getExpression() - Method in class weka.filters.unsupervised.attribute.AddExpression
-
Get the expression
- getExpression() - Method in class weka.filters.unsupervised.attribute.MathExpression
-
Get the expression
- getExpression() - Method in class weka.filters.unsupervised.attribute.RemoveByName
-
Returns the regular expression in use.
- getExpression() - Method in class weka.filters.unsupervised.instance.SubsetByExpression
-
Returns the expression used for filtering.
- getExpressionString() - Method in class weka.gui.beans.FlowByExpression
-
Get the current expression (in internal format)
- getExpressionString() - Method in class weka.knowledgeflow.steps.FlowByExpression
-
Get the current expression (in internal format)
- getExtender() - Method in class weka.core.pmml.jaxbbindings.Extension
-
Gets the value of the extender property.
- getExtension() - Method in class weka.core.pmml.jaxbbindings.Aggregate
-
Gets the value of the extension property.
- getExtension() - Method in class weka.core.pmml.jaxbbindings.Alternate
-
Gets the value of the extension property.
- getExtension() - Method in class weka.core.pmml.jaxbbindings.Anova
-
Gets the value of the extension property.
- getExtension() - Method in class weka.core.pmml.jaxbbindings.AnovaRow
-
Gets the value of the extension property.
- getExtension() - Method in class weka.core.pmml.jaxbbindings.AntecedentSequence
-
Gets the value of the extension property.
- getExtension() - Method in class weka.core.pmml.jaxbbindings.AnyDistribution
-
Gets the value of the extension property.
- getExtension() - Method in class weka.core.pmml.jaxbbindings.Application
-
Gets the value of the extension property.
- getExtension() - Method in class weka.core.pmml.jaxbbindings.Apply
-
Gets the value of the extension property.
- getExtension() - Method in class weka.core.pmml.jaxbbindings.AssociationRule
-
Gets the value of the extension property.
- getExtension() - Method in class weka.core.pmml.jaxbbindings.Attribute
-
Gets the value of the extension property.
- getExtension() - Method in class weka.core.pmml.jaxbbindings.BaseCumHazardTables
-
Gets the value of the extension property.
- getExtension() - Method in class weka.core.pmml.jaxbbindings.Baseline
-
Gets the value of the extension property.
- getExtension() - Method in class weka.core.pmml.jaxbbindings.BaselineCell
-
Gets the value of the extension property.
- getExtension() - Method in class weka.core.pmml.jaxbbindings.BaselineStratum
-
Gets the value of the extension property.
- getExtension() - Method in class weka.core.pmml.jaxbbindings.BayesInput
-
Gets the value of the extension property.
- getExtension() - Method in class weka.core.pmml.jaxbbindings.BayesInputs
-
Gets the value of the extension property.
- getExtension() - Method in class weka.core.pmml.jaxbbindings.BayesOutput
-
Gets the value of the extension property.
- getExtension() - Method in class weka.core.pmml.jaxbbindings.BinarySimilarity
-
Gets the value of the extension property.
- getExtension() - Method in class weka.core.pmml.jaxbbindings.BoundaryValueMeans
-
Gets the value of the extension property.
- getExtension() - Method in class weka.core.pmml.jaxbbindings.BoundaryValues
-
Gets the value of the extension property.
- getExtension() - Method in class weka.core.pmml.jaxbbindings.CategoricalPredictor
-
Gets the value of the extension property.
- getExtension() - Method in class weka.core.pmml.jaxbbindings.Categories
-
Gets the value of the extension property.
- getExtension() - Method in class weka.core.pmml.jaxbbindings.Category
-
Gets the value of the extension property.
- getExtension() - Method in class weka.core.pmml.jaxbbindings.Characteristic
-
Gets the value of the extension property.
- getExtension() - Method in class weka.core.pmml.jaxbbindings.Characteristics
-
Gets the value of the extension property.
- getExtension() - Method in class weka.core.pmml.jaxbbindings.Chebychev
-
Gets the value of the extension property.
- getExtension() - Method in class weka.core.pmml.jaxbbindings.ChildParent
-
Gets the value of the extension property.
- getExtension() - Method in class weka.core.pmml.jaxbbindings.CityBlock
-
Gets the value of the extension property.
- getExtension() - Method in class weka.core.pmml.jaxbbindings.ClassLabels
-
Gets the value of the extension property.
- getExtension() - Method in class weka.core.pmml.jaxbbindings.Cluster
-
Gets the value of the extension property.
- getExtension() - Method in class weka.core.pmml.jaxbbindings.ClusteringField
-
Gets the value of the extension property.
- getExtension() - Method in class weka.core.pmml.jaxbbindings.Coefficient
-
Gets the value of the extension property.
- getExtension() - Method in class weka.core.pmml.jaxbbindings.Coefficients
-
Gets the value of the extension property.
- getExtension() - Method in class weka.core.pmml.jaxbbindings.ComparisonMeasure
-
Gets the value of the extension property.
- getExtension() - Method in class weka.core.pmml.jaxbbindings.Comparisons
-
Gets the value of the extension property.
- getExtension() - Method in class weka.core.pmml.jaxbbindings.CompoundPredicate
-
Gets the value of the extension property.
- getExtension() - Method in class weka.core.pmml.jaxbbindings.CompoundRule
-
Gets the value of the extension property.
- getExtension() - Method in class weka.core.pmml.jaxbbindings.Con1
-
Gets the value of the extension property.
- getExtension() - Method in class weka.core.pmml.jaxbbindings.ConfusionMatrix
-
Gets the value of the extension property.
- getExtension() - Method in class weka.core.pmml.jaxbbindings.ConsequentSequence
-
Gets the value of the extension property.
- getExtension() - Method in class weka.core.pmml.jaxbbindings.Constraints
-
Gets the value of the extension property.
- getExtension() - Method in class weka.core.pmml.jaxbbindings.ContStats
-
Gets the value of the extension property.
- getExtension() - Method in class weka.core.pmml.jaxbbindings.CorrelationFields
-
Gets the value of the extension property.
- getExtension() - Method in class weka.core.pmml.jaxbbindings.CorrelationMethods
-
Gets the value of the extension property.
- getExtension() - Method in class weka.core.pmml.jaxbbindings.Correlations
-
Gets the value of the extension property.
- getExtension() - Method in class weka.core.pmml.jaxbbindings.CorrelationValues
-
Gets the value of the extension property.
- getExtension() - Method in class weka.core.pmml.jaxbbindings.Counts
-
Gets the value of the extension property.
- getExtension() - Method in class weka.core.pmml.jaxbbindings.COUNTTABLETYPE
-
Gets the value of the extension property.
- getExtension() - Method in class weka.core.pmml.jaxbbindings.Covariances
-
Gets the value of the extension property.
- getExtension() - Method in class weka.core.pmml.jaxbbindings.CovariateList
-
Gets the value of the extension property.
- getExtension() - Method in class weka.core.pmml.jaxbbindings.DataDictionary
-
Gets the value of the extension property.
- getExtension() - Method in class weka.core.pmml.jaxbbindings.DataField
-
Gets the value of the extension property.
- getExtension() - Method in class weka.core.pmml.jaxbbindings.Decision
-
Gets the value of the extension property.
- getExtension() - Method in class weka.core.pmml.jaxbbindings.Decisions
-
Gets the value of the extension property.
- getExtension() - Method in class weka.core.pmml.jaxbbindings.DecisionTree
-
Gets the value of the extension property.
- getExtension() - Method in class weka.core.pmml.jaxbbindings.DefineFunction
-
Gets the value of the extension property.
- getExtension() - Method in class weka.core.pmml.jaxbbindings.Delimiter
-
Gets the value of the extension property.
- getExtension() - Method in class weka.core.pmml.jaxbbindings.DerivedField
-
Gets the value of the extension property.
- getExtension() - Method in class weka.core.pmml.jaxbbindings.Discretize
-
Gets the value of the extension property.
- getExtension() - Method in class weka.core.pmml.jaxbbindings.DiscretizeBin
-
Gets the value of the extension property.
- getExtension() - Method in class weka.core.pmml.jaxbbindings.DiscrStats
-
Gets the value of the extension property.
- getExtension() - Method in class weka.core.pmml.jaxbbindings.DocumentTermMatrix
-
Gets the value of the extension property.
- getExtension() - Method in class weka.core.pmml.jaxbbindings.Euclidean
-
Gets the value of the extension property.
- getExtension() - Method in class weka.core.pmml.jaxbbindings.EventValues
-
Gets the value of the extension property.
- getExtension() - Method in class weka.core.pmml.jaxbbindings.FactorList
-
Gets the value of the extension property.
- getExtension() - Method in class weka.core.pmml.jaxbbindings.False
-
Gets the value of the extension property.
- getExtension() - Method in class weka.core.pmml.jaxbbindings.FieldColumnPair
-
Gets the value of the extension property.
- getExtension() - Method in class weka.core.pmml.jaxbbindings.FieldRef
-
Gets the value of the extension property.
- getExtension() - Method in class weka.core.pmml.jaxbbindings.FieldValue
-
Gets the value of the extension property.
- getExtension() - Method in class weka.core.pmml.jaxbbindings.FieldValueCount
-
Gets the value of the extension property.
- getExtension() - Method in class weka.core.pmml.jaxbbindings.GaussianDistribution
-
Gets the value of the extension property.
- getExtension() - Method in class weka.core.pmml.jaxbbindings.Header
-
Gets the value of the extension property.
- getExtension() - Method in class weka.core.pmml.jaxbbindings.InlineTable
-
Gets the value of the extension property.
- getExtension() - Method in class weka.core.pmml.jaxbbindings.InstanceField
-
Gets the value of the extension property.
- getExtension() - Method in class weka.core.pmml.jaxbbindings.InstanceFields
-
Gets the value of the extension property.
- getExtension() - Method in class weka.core.pmml.jaxbbindings.Interval
-
Gets the value of the extension property.
- getExtension() - Method in class weka.core.pmml.jaxbbindings.Item
-
Gets the value of the extension property.
- getExtension() - Method in class weka.core.pmml.jaxbbindings.ItemRef
-
Gets the value of the extension property.
- getExtension() - Method in class weka.core.pmml.jaxbbindings.Itemset
-
Gets the value of the extension property.
- getExtension() - Method in class weka.core.pmml.jaxbbindings.Jaccard
-
Gets the value of the extension property.
- getExtension() - Method in class weka.core.pmml.jaxbbindings.KNNInput
-
Gets the value of the extension property.
- getExtension() - Method in class weka.core.pmml.jaxbbindings.KNNInputs
-
Gets the value of the extension property.
- getExtension() - Method in class weka.core.pmml.jaxbbindings.KohonenMap
-
Gets the value of the extension property.
- getExtension() - Method in class weka.core.pmml.jaxbbindings.LiftData
-
Gets the value of the extension property.
- getExtension() - Method in class weka.core.pmml.jaxbbindings.LiftGraph
-
Gets the value of the extension property.
- getExtension() - Method in class weka.core.pmml.jaxbbindings.LinearKernelType
-
Gets the value of the extension property.
- getExtension() - Method in class weka.core.pmml.jaxbbindings.LinearNorm
-
Gets the value of the extension property.
- getExtension() - Method in class weka.core.pmml.jaxbbindings.LocalTransformations
-
Gets the value of the extension property.
- getExtension() - Method in class weka.core.pmml.jaxbbindings.MapValues
-
Gets the value of the extension property.
- getExtension() - Method in class weka.core.pmml.jaxbbindings.MiningBuildTask
-
Gets the value of the extension property.
- getExtension() - Method in class weka.core.pmml.jaxbbindings.MiningField
-
Gets the value of the extension property.
- getExtension() - Method in class weka.core.pmml.jaxbbindings.MiningSchema
-
Gets the value of the extension property.
- getExtension() - Method in class weka.core.pmml.jaxbbindings.Minkowski
-
Gets the value of the extension property.
- getExtension() - Method in class weka.core.pmml.jaxbbindings.MissingValueWeights
-
Gets the value of the extension property.
- getExtension() - Method in class weka.core.pmml.jaxbbindings.ModelExplanation
-
Gets the value of the extension property.
- getExtension() - Method in class weka.core.pmml.jaxbbindings.ModelLiftGraph
-
Gets the value of the extension property.
- getExtension() - Method in class weka.core.pmml.jaxbbindings.ModelStats
-
Gets the value of the extension property.
- getExtension() - Method in class weka.core.pmml.jaxbbindings.ModelVerification
-
Gets the value of the extension property.
- getExtension() - Method in class weka.core.pmml.jaxbbindings.MultivariateStat
-
Gets the value of the extension property.
- getExtension() - Method in class weka.core.pmml.jaxbbindings.MultivariateStats
-
Gets the value of the extension property.
- getExtension() - Method in class weka.core.pmml.jaxbbindings.NeuralInput
-
Gets the value of the extension property.
- getExtension() - Method in class weka.core.pmml.jaxbbindings.NeuralInputs
-
Gets the value of the extension property.
- getExtension() - Method in class weka.core.pmml.jaxbbindings.NeuralLayer
-
Gets the value of the extension property.
- getExtension() - Method in class weka.core.pmml.jaxbbindings.NeuralOutput
-
Gets the value of the extension property.
- getExtension() - Method in class weka.core.pmml.jaxbbindings.NeuralOutputs
-
Gets the value of the extension property.
- getExtension() - Method in class weka.core.pmml.jaxbbindings.Neuron
-
Gets the value of the extension property.
- getExtension() - Method in class weka.core.pmml.jaxbbindings.NormContinuous
-
Gets the value of the extension property.
- getExtension() - Method in class weka.core.pmml.jaxbbindings.NormDiscrete
-
Gets the value of the extension property.
- getExtension() - Method in class weka.core.pmml.jaxbbindings.NumericInfo
-
Gets the value of the extension property.
- getExtension() - Method in class weka.core.pmml.jaxbbindings.NumericPredictor
-
Gets the value of the extension property.
- getExtension() - Method in class weka.core.pmml.jaxbbindings.OptimumLiftGraph
-
Gets the value of the extension property.
- getExtension() - Method in class weka.core.pmml.jaxbbindings.Output
-
Gets the value of the extension property.
- getExtension() - Method in class weka.core.pmml.jaxbbindings.OutputField
-
Gets the value of the extension property.
- getExtension() - Method in class weka.core.pmml.jaxbbindings.PairCounts
-
Gets the value of the extension property.
- getExtension() - Method in class weka.core.pmml.jaxbbindings.Parameter
-
Gets the value of the extension property.
- getExtension() - Method in class weka.core.pmml.jaxbbindings.ParameterList
-
Gets the value of the extension property.
- getExtension() - Method in class weka.core.pmml.jaxbbindings.ParamMatrix
-
Gets the value of the extension property.
- getExtension() - Method in class weka.core.pmml.jaxbbindings.Partition
-
Gets the value of the extension property.
- getExtension() - Method in class weka.core.pmml.jaxbbindings.PartitionFieldStats
-
Gets the value of the extension property.
- getExtension() - Method in class weka.core.pmml.jaxbbindings.PCell
-
Gets the value of the extension property.
- getExtension() - Method in class weka.core.pmml.jaxbbindings.PCovCell
-
Gets the value of the extension property.
- getExtension() - Method in class weka.core.pmml.jaxbbindings.PCovMatrix
-
Gets the value of the extension property.
- getExtension() - Method in class weka.core.pmml.jaxbbindings.PMML
-
Gets the value of the extension property.
- getExtension() - Method in class weka.core.pmml.jaxbbindings.PoissonDistribution
-
Gets the value of the extension property.
- getExtension() - Method in class weka.core.pmml.jaxbbindings.PolynomialKernelType
-
Gets the value of the extension property.
- getExtension() - Method in class weka.core.pmml.jaxbbindings.PPCell
-
Gets the value of the extension property.
- getExtension() - Method in class weka.core.pmml.jaxbbindings.PPMatrix
-
Gets the value of the extension property.
- getExtension() - Method in class weka.core.pmml.jaxbbindings.PredictiveModelQuality
-
Gets the value of the extension property.
- getExtension() - Method in class weka.core.pmml.jaxbbindings.Predictor
-
Gets the value of the extension property.
- getExtension() - Method in class weka.core.pmml.jaxbbindings.PredictorTerm
-
Gets the value of the extension property.
- getExtension() - Method in class weka.core.pmml.jaxbbindings.Quantile
-
Gets the value of the extension property.
- getExtension() - Method in class weka.core.pmml.jaxbbindings.RadialBasisKernelType
-
Gets the value of the extension property.
- getExtension() - Method in class weka.core.pmml.jaxbbindings.RandomLiftGraph
-
Gets the value of the extension property.
- getExtension() - Method in class weka.core.pmml.jaxbbindings.Regression
-
Gets the value of the extension property.
- getExtension() - Method in class weka.core.pmml.jaxbbindings.RegressionTable
-
Gets the value of the extension property.
- getExtension() - Method in class weka.core.pmml.jaxbbindings.ResultField
-
Gets the value of the extension property.
- getExtension() - Method in class weka.core.pmml.jaxbbindings.ROC
-
Gets the value of the extension property.
- getExtension() - Method in class weka.core.pmml.jaxbbindings.ROCGraph
-
Gets the value of the extension property.
- getExtension() - Method in class weka.core.pmml.jaxbbindings.RuleSelectionMethod
-
Gets the value of the extension property.
- getExtension() - Method in class weka.core.pmml.jaxbbindings.RuleSet
-
Gets the value of the extension property.
- getExtension() - Method in class weka.core.pmml.jaxbbindings.ScoreDistribution
-
Gets the value of the extension property.
- getExtension() - Method in class weka.core.pmml.jaxbbindings.Segment
-
Gets the value of the extension property.
- getExtension() - Method in class weka.core.pmml.jaxbbindings.Segmentation
-
Gets the value of the extension property.
- getExtension() - Method in class weka.core.pmml.jaxbbindings.Sequence
-
Gets the value of the extension property.
- getExtension() - Method in class weka.core.pmml.jaxbbindings.SequenceReference
-
Gets the value of the extension property.
- getExtension() - Method in class weka.core.pmml.jaxbbindings.SetPredicate
-
Gets the value of the extension property.
- getExtension() - Method in class weka.core.pmml.jaxbbindings.SetReference
-
Gets the value of the extension property.
- getExtension() - Method in class weka.core.pmml.jaxbbindings.SigmoidKernelType
-
Gets the value of the extension property.
- getExtension() - Method in class weka.core.pmml.jaxbbindings.SimpleMatching
-
Gets the value of the extension property.
- getExtension() - Method in class weka.core.pmml.jaxbbindings.SimplePredicate
-
Gets the value of the extension property.
- getExtension() - Method in class weka.core.pmml.jaxbbindings.SimpleRule
-
Gets the value of the extension property.
- getExtension() - Method in class weka.core.pmml.jaxbbindings.SimpleSetPredicate
-
Gets the value of the extension property.
- getExtension() - Method in class weka.core.pmml.jaxbbindings.SquaredEuclidean
-
Gets the value of the extension property.
- getExtension() - Method in class weka.core.pmml.jaxbbindings.SupportVector
-
Gets the value of the extension property.
- getExtension() - Method in class weka.core.pmml.jaxbbindings.SupportVectorMachine
-
Gets the value of the extension property.
- getExtension() - Method in class weka.core.pmml.jaxbbindings.SupportVectors
-
Gets the value of the extension property.
- getExtension() - Method in class weka.core.pmml.jaxbbindings.TableLocator
-
Gets the value of the extension property.
- getExtension() - Method in class weka.core.pmml.jaxbbindings.Tanimoto
-
Gets the value of the extension property.
- getExtension() - Method in class weka.core.pmml.jaxbbindings.Target
-
Gets the value of the extension property.
- getExtension() - Method in class weka.core.pmml.jaxbbindings.Targets
-
Gets the value of the extension property.
- getExtension() - Method in class weka.core.pmml.jaxbbindings.TargetValue
-
Gets the value of the extension property.
- getExtension() - Method in class weka.core.pmml.jaxbbindings.TargetValueCount
-
Gets the value of the extension property.
- getExtension() - Method in class weka.core.pmml.jaxbbindings.TargetValueCounts
-
Gets the value of the extension property.
- getExtension() - Method in class weka.core.pmml.jaxbbindings.Taxonomy
-
Gets the value of the extension property.
- getExtension() - Method in class weka.core.pmml.jaxbbindings.TestDistributions
-
Gets the value of the extension property.
- getExtension() - Method in class weka.core.pmml.jaxbbindings.TextCorpus
-
Gets the value of the extension property.
- getExtension() - Method in class weka.core.pmml.jaxbbindings.TextDictionary
-
Gets the value of the extension property.
- getExtension() - Method in class weka.core.pmml.jaxbbindings.TextDocument
-
Gets the value of the extension property.
- getExtension() - Method in class weka.core.pmml.jaxbbindings.TextModelNormalization
-
Gets the value of the extension property.
- getExtension() - Method in class weka.core.pmml.jaxbbindings.TextModelSimiliarity
-
Gets the value of the extension property.
- getExtension() - Method in class weka.core.pmml.jaxbbindings.Time
-
Gets the value of the extension property.
- getExtension() - Method in class weka.core.pmml.jaxbbindings.TrainingInstances
-
Gets the value of the extension property.
- getExtension() - Method in class weka.core.pmml.jaxbbindings.TransformationDictionary
-
Gets the value of the extension property.
- getExtension() - Method in class weka.core.pmml.jaxbbindings.True
-
Gets the value of the extension property.
- getExtension() - Method in class weka.core.pmml.jaxbbindings.UniformDistribution
-
Gets the value of the extension property.
- getExtension() - Method in class weka.core.pmml.jaxbbindings.UnivariateStats
-
Gets the value of the extension property.
- getExtension() - Method in class weka.core.pmml.jaxbbindings.Value
-
Gets the value of the extension property.
- getExtension() - Method in class weka.core.pmml.jaxbbindings.VectorDictionary
-
Gets the value of the extension property.
- getExtension() - Method in class weka.core.pmml.jaxbbindings.VectorFields
-
Gets the value of the extension property.
- getExtension() - Method in class weka.core.pmml.jaxbbindings.VectorInstance
-
Gets the value of the extension property.
- getExtension() - Method in class weka.core.pmml.jaxbbindings.VerificationField
-
Gets the value of the extension property.
- getExtension() - Method in class weka.core.pmml.jaxbbindings.VerificationFields
-
Gets the value of the extension property.
- getExtension() - Method in class weka.core.pmml.jaxbbindings.XCoordinates
-
Gets the value of the extension property.
- getExtension() - Method in class weka.core.pmml.jaxbbindings.YCoordinates
-
Gets the value of the extension property.
- getExtension() - Static method in class weka.gui.experiment.ExperimenterDefaults
-
returns the default experiment extension.
- getExtension() - Method in class weka.gui.visualize.BMPWriter
-
returns the extension (incl.
- getExtension() - Method in class weka.gui.visualize.JComponentWriter
-
returns the extension (incl.
- getExtension() - Method in class weka.gui.visualize.JPEGWriter
-
returns the extension (incl.
- getExtension() - Method in class weka.gui.visualize.PNGWriter
-
returns the extension (incl.
- getExtension() - Method in class weka.gui.visualize.PostscriptWriter
-
returns the extension (incl.
- getExtensionAndDelimiterAndTime() - Method in class weka.core.pmml.jaxbbindings.Sequence
-
Gets the value of the extensionAndDelimiterAndTime property.
- getExtensions() - Method in class weka.gui.ExtensionFileFilter
-
Returns a copy of the acceptable extensions.
- getExtremeValuesAsOutliers() - Method in class weka.filters.unsupervised.attribute.InterquartileRange
-
Get whether extreme values are also tagged as outliers.
- getExtremeValuesFactor() - Method in class weka.filters.unsupervised.attribute.InterquartileRange
-
Gets the factor for determining the thresholds for extreme values.
- getFactory() - Method in class weka.core.xml.XMLDocument
-
returns the DocumentBuilderFactory.
- getFailReason() - Method in class weka.core.Capabilities
-
returns the reason why the tests failed, is null if tests succeeded
- getFallout() - Method in class weka.classifiers.evaluation.TwoClassStats
-
Calculate the fallout.
- getFalse() - Method in class weka.core.pmml.jaxbbindings.Attribute
-
Gets the value of the false property.
- getFalse() - Method in class weka.core.pmml.jaxbbindings.CompoundRule
-
Gets the value of the false property.
- getFalse() - Method in class weka.core.pmml.jaxbbindings.Segment
-
Gets the value of the false property.
- getFalse() - Method in class weka.core.pmml.jaxbbindings.SimpleRule
-
Gets the value of the false property.
- getFalseNegative() - Method in class weka.classifiers.evaluation.TwoClassStats
-
Gets the number of positive instances predicted as negative
- getFalsePositive() - Method in class weka.classifiers.evaluation.TwoClassStats
-
Gets the number of negative instances predicted as positive
- getFalsePositiveRate() - Method in class weka.classifiers.evaluation.TwoClassStats
-
Calculate the false positive rate.
- getFalseStepName() - Method in class weka.gui.beans.FlowByExpression
-
Get the name of the connected step to send "false" instances to
- getFalseStepName() - Method in class weka.knowledgeflow.steps.FlowByExpression
-
Get the name of the connected step to send "false" instances to
- getFastDistanceCalc() - Method in class weka.clusterers.SimpleKMeans
-
Gets whether to use faster distance calculation.
- getFastRegression() - Method in class weka.classifiers.trees.LMT
-
Get the value of fastRegression.
- getFeature() - Method in class weka.core.pmml.jaxbbindings.OutputField
-
Gets the value of the feature property.
- getFeature() - Method in class weka.core.pmml.jaxbbindings.ResultField
-
Gets the value of the feature property.
- getField() - Method in class weka.core.pmml.jaxbbindings.Aggregate
-
Gets the value of the field property.
- getField() - Method in class weka.core.pmml.jaxbbindings.ClusteringField
-
Gets the value of the field property.
- getField() - Method in class weka.core.pmml.jaxbbindings.Discretize
-
Gets the value of the field property.
- getField() - Method in class weka.core.pmml.jaxbbindings.FieldColumnPair
-
Gets the value of the field property.
- getField() - Method in class weka.core.pmml.jaxbbindings.FieldRef
-
Gets the value of the field property.
- getField() - Method in class weka.core.pmml.jaxbbindings.FieldValue
-
Gets the value of the field property.
- getField() - Method in class weka.core.pmml.jaxbbindings.FieldValueCount
-
Gets the value of the field property.
- getField() - Method in class weka.core.pmml.jaxbbindings.InstanceField
-
Gets the value of the field property.
- getField() - Method in class weka.core.pmml.jaxbbindings.KNNInput
-
Gets the value of the field property.
- getField() - Method in class weka.core.pmml.jaxbbindings.NormContinuous
-
Gets the value of the field property.
- getField() - Method in class weka.core.pmml.jaxbbindings.NormDiscrete
-
Gets the value of the field property.
- getField() - Method in class weka.core.pmml.jaxbbindings.PartitionFieldStats
-
Gets the value of the field property.
- getField() - Method in class weka.core.pmml.jaxbbindings.SetPredicate
-
Gets the value of the field property.
- getField() - Method in class weka.core.pmml.jaxbbindings.SimplePredicate
-
Gets the value of the field property.
- getField() - Method in class weka.core.pmml.jaxbbindings.SimpleSetPredicate
-
Gets the value of the field property.
- getField() - Method in class weka.core.pmml.jaxbbindings.Target
-
Gets the value of the field property.
- getField() - Method in class weka.core.pmml.jaxbbindings.TestDistributions
-
Gets the value of the field property.
- getField() - Method in class weka.core.pmml.jaxbbindings.UnivariateStats
-
Gets the value of the field property.
- getField() - Method in class weka.core.pmml.jaxbbindings.VerificationField
-
Gets the value of the field property.
- getFieldAsAttribute() - Method in class weka.core.pmml.DerivedFieldMetaInfo
-
Get this derived field as an Attribute.
- getFieldAsAttribute() - Method in class weka.core.pmml.FieldMetaInfo
-
Return this field as an Attribute.
- getFieldAsAttribute() - Method in class weka.core.pmml.MiningFieldMetaInfo
-
Return this mining field as an Attribute.
- getFieldAsAttribute() - Method in class weka.core.pmml.TargetMetaInfo
-
Return this field as an Attribute.
- getFieldColumnPair() - Method in class weka.core.pmml.jaxbbindings.MapValues
-
Gets the value of the fieldColumnPair property.
- getFieldCount() - Method in class weka.core.pmml.jaxbbindings.ModelVerification
-
Gets the value of the fieldCount property.
- getFieldCount() - Method in class weka.core.pmml.jaxbbindings.TrainingInstances
-
Gets the value of the fieldCount property.
- getFieldDef(String) - Method in class weka.core.pmml.Expression
-
Return the named attribute from the list of reference fields.
- getFieldDefIndex(String) - Method in class weka.core.pmml.Expression
-
- getFieldName() - Method in class weka.core.pmml.FieldMetaInfo
-
Get the name of this field.
- getFieldName() - Method in class weka.core.pmml.jaxbbindings.BayesInput
-
Gets the value of the fieldName property.
- getFieldName() - Method in class weka.core.pmml.jaxbbindings.BayesOutput
-
Gets the value of the fieldName property.
- getFieldRef() - Method in class weka.core.pmml.jaxbbindings.Baseline
-
Gets the value of the fieldRef property.
- getFieldRef() - Method in class weka.core.pmml.jaxbbindings.DefineFunction
-
Gets the value of the fieldRef property.
- getFieldRef() - Method in class weka.core.pmml.jaxbbindings.DerivedField
-
Gets the value of the fieldRef property.
- getFieldRef() - Method in class weka.core.pmml.jaxbbindings.OutputField
-
Gets the value of the fieldRef property.
- getFieldRef() - Method in class weka.core.pmml.jaxbbindings.PredictorTerm
-
Gets the value of the fieldRef property.
- getFieldRef() - Method in class weka.core.pmml.jaxbbindings.VectorFields
-
Gets the value of the fieldRef property.
- getFieldsAsInstances() - Method in class weka.core.pmml.MiningSchema
-
Get the all the fields (both mining schema and derived) as Instances.
- getFieldSeparator() - Method in class weka.core.converters.CSVLoader
-
Returns the character used as column separator.
- getFieldSeparator() - Method in class weka.core.converters.CSVSaver
-
Returns the character used as column separator.
- getFieldsMappingString() - Method in class weka.classifiers.pmml.consumer.PMMLClassifier
-
Get a textual description of the mapping between mining schema
fields and incoming data fields.
- getFieldsMappingString() - Method in class weka.core.pmml.MappingInfo
-
Get a textual description of them mapping between mining schema fields and
incoming data fields.
- getFieldValue() - Method in class weka.core.pmml.jaxbbindings.COUNTTABLETYPE
-
Gets the value of the fieldValue property.
- getFieldValue() - Method in class weka.core.pmml.jaxbbindings.FieldValue
-
Gets the value of the fieldValue property.
- getFieldValueCount() - Method in class weka.core.pmml.jaxbbindings.COUNTTABLETYPE
-
Gets the value of the fieldValueCount property.
- getFieldValueCount() - Method in class weka.core.pmml.jaxbbindings.FieldValue
-
Gets the value of the fieldValueCount property.
- getFieldWeight() - Method in class weka.core.pmml.jaxbbindings.ClusteringField
-
Gets the value of the fieldWeight property.
- getFieldWeight() - Method in class weka.core.pmml.jaxbbindings.KNNInput
-
Gets the value of the fieldWeight property.
- getFile() - Method in class weka.core.FileHelper
-
Get the file wrapped in this instance
- getFile() - Method in class weka.core.pmml.jaxbbindings.TextDocument
-
Gets the value of the file property.
- getFile() - Method in class weka.gui.visualize.JComponentWriter
-
returns the file being used for storing the output
- getFile() - Method in class weka.knowledgeflow.steps.ImageSaver
-
Get the file to save to
- getFile() - Method in class weka.knowledgeflow.steps.TextSaver
-
Get the file to save to
- getFileDescription() - Method in class weka.core.converters.AbstractFileSaver
-
to be pverridden
- getFileDescription() - Method in class weka.core.converters.ArffLoader
-
Returns a description of the file type.
- getFileDescription() - Method in class weka.core.converters.ArffSaver
-
Returns a description of the file type.
- getFileDescription() - Method in class weka.core.converters.C45Loader
-
Returns a description of the file type.
- getFileDescription() - Method in class weka.core.converters.C45Saver
-
Returns a description of the file type.
- getFileDescription() - Method in class weka.core.converters.CSVLoader
-
- getFileDescription() - Method in class weka.core.converters.CSVSaver
-
Returns a description of the file type.
- getFileDescription() - Method in class weka.core.converters.DictionarySaver
-
- getFileDescription() - Method in interface weka.core.converters.FileSourcedConverter
-
Get a one line description of the type of file
- getFileDescription() - Method in class weka.core.converters.JSONLoader
-
Returns a description of the file type.
- getFileDescription() - Method in class weka.core.converters.JSONSaver
-
Returns a description of the file type.
- getFileDescription() - Method in class weka.core.converters.LibSVMLoader
-
Returns a description of the file type.
- getFileDescription() - Method in class weka.core.converters.LibSVMSaver
-
Returns a description of the file type.
- getFileDescription() - Method in class weka.core.converters.MatlabLoader
-
Returns a description of the file type.
- getFileDescription() - Method in class weka.core.converters.MatlabSaver
-
Returns a description of the file type.
- getFileDescription() - Method in class weka.core.converters.SerializedInstancesLoader
-
Returns a description of the file type.
- getFileDescription() - Method in class weka.core.converters.SerializedInstancesSaver
-
Returns a description of the file type.
- getFileDescription() - Method in class weka.core.converters.SVMLightLoader
-
Returns a description of the file type.
- getFileDescription() - Method in class weka.core.converters.SVMLightSaver
-
Returns a description of the file type.
- getFileDescription() - Method in class weka.core.converters.TextDirectoryLoader
-
Returns a description of the file type, actually it's directories.
- getFileDescription() - Method in class weka.core.converters.XRFFLoader
-
Returns a description of the file type.
- getFileDescription() - Method in class weka.core.converters.XRFFSaver
-
Returns a description of the file type.
- getFileExtension() - Method in class weka.core.converters.AbstractFileSaver
-
Gets ihe file extension.
- getFileExtension() - Method in class weka.core.converters.AbstractSaver
-
Default implementation throws an IOException.
- getFileExtension() - Method in class weka.core.converters.ArffLoader
-
Get the file extension used for arff files
- getFileExtension() - Method in class weka.core.converters.C45Loader
-
Get the file extension used for arff files
- getFileExtension() - Method in class weka.core.converters.CSVLoader
-
- getFileExtension() - Method in interface weka.core.converters.FileSourcedConverter
-
Get the file extension used for this type of file
- getFileExtension() - Method in class weka.core.converters.JSONLoader
-
Get the file extension used for JSON files.
- getFileExtension() - Method in class weka.core.converters.LibSVMLoader
-
Get the file extension used for libsvm files.
- getFileExtension() - Method in class weka.core.converters.MatlabLoader
-
Get the file extension used for libsvm files.
- getFileExtension() - Method in interface weka.core.converters.Saver
-
Gets the file extension
- getFileExtension() - Method in class weka.core.converters.SerializedInstancesLoader
-
Get the file extension used for arff files
- getFileExtension() - Method in class weka.core.converters.SVMLightLoader
-
Get the file extension used for svm light files.
- getFileExtension() - Method in class weka.core.converters.XRFFLoader
-
Get the file extension used for libsvm files
- getFileExtensions() - Method in class weka.core.converters.AbstractFileSaver
-
Gets all the file extensions used for this type of file
- getFileExtensions() - Method in class weka.core.converters.ArffLoader
-
Gets all the file extensions used for this type of file
- getFileExtensions() - Method in class weka.core.converters.ArffSaver
-
Gets all the file extensions used for this type of file
- getFileExtensions() - Method in class weka.core.converters.C45Loader
-
Gets all the file extensions used for this type of file
- getFileExtensions() - Method in class weka.core.converters.CSVLoader
-
- getFileExtensions() - Method in interface weka.core.converters.FileSourcedConverter
-
Gets all the file extensions used for this type of file
- getFileExtensions() - Method in class weka.core.converters.JSONLoader
-
Gets all the file extensions used for this type of file.
- getFileExtensions() - Method in class weka.core.converters.JSONSaver
-
Gets all the file extensions used for this type of file.
- getFileExtensions() - Method in class weka.core.converters.LibSVMLoader
-
Gets all the file extensions used for this type of file.
- getFileExtensions() - Method in class weka.core.converters.MatlabLoader
-
Gets all the file extensions used for this type of file.
- getFileExtensions() - Method in class weka.core.converters.SerializedInstancesLoader
-
Gets all the file extensions used for this type of file
- getFileExtensions() - Method in class weka.core.converters.SVMLightLoader
-
Gets all the file extensions used for this type of file.
- getFileExtensions() - Method in class weka.core.converters.XRFFLoader
-
Gets all the file extensions used for this type of file
- getFileExtensions() - Method in class weka.core.converters.XRFFSaver
-
Gets all the file extensions used for this type of file
- getFileFormat() - Method in class weka.gui.beans.SerializedModelSaver
-
Get the file format to use for saving.
- getFileLoaders() - Static method in class weka.core.converters.ConverterResources
-
Returns the file loaders.
- getFileLoaders() - Static method in class weka.core.converters.ConverterUtils
-
returns a vector with the classnames of all the file loaders.
- getFileMatches(String) - Method in class weka.gui.SimpleCLIPanel.CommandlineCompletion
-
returns all the file/dir matches with the partial search string.
- getFileMustExist() - Method in class weka.gui.ConverterFileChooser
-
Returns whether the selected file must exist (only open dialog).
- getFileName() - Method in class weka.classifiers.bayes.net.BIFReader
-
returns the current filename
- getFilename() - Method in class weka.core.Debug.Log
-
returns the filename of the log, can be null
- getFilename() - Method in class weka.core.Debug.SimpleLog
-
returns the filename of the log, can be null
- getFilename() - Method in class weka.core.FindWithCapabilities
-
returns the current filename for the dataset to base the capabilities on.
- getFilename() - Method in class weka.gui.arffviewer.ArffPanel
-
returns the filename
- getFilename(int) - Method in class weka.gui.arffviewer.ArffViewerMainPanel
-
returns the filename of the specified panel
- getFilename() - Method in class weka.gui.beans.ImageSaver
-
Get the filename to save to
- getFilename() - Method in class weka.gui.beans.TextSaver
-
Get the filename to save to
- getFilename() - Method in class weka.gui.scripting.Script
-
Returns the current filename.
- getFilenamePrefix() - Method in class weka.knowledgeflow.steps.SerializedModelSaver
-
Get the text to prepend to the filename
- getFilePath() - Method in class weka.core.FileHelper
-
Get the file path
- getFilePath() - Method in class weka.gui.knowledgeflow.VisibleLayout
-
Get the current path (if any) of the flow being edited in this layout
- getFileSavers() - Static method in class weka.core.converters.ConverterResources
-
Returns the file savers.
- getFileSavers() - Static method in class weka.core.converters.ConverterUtils
-
returns a vector with the classnames of all the file savers.
- getFillWithMissing() - Method in class weka.filters.unsupervised.attribute.AbstractTimeSeries
-
Gets whether missing values should be used rather than removing instances
where the translated value is not known (due to border effects).
- getFilter() - Method in class weka.associations.FilteredAssociator
-
Gets the filter used.
- getFilter() - Method in class weka.classifiers.meta.FilteredClassifier
-
Gets the filter used.
- getFilter() - Method in class weka.clusterers.FilteredClusterer
-
Gets the filter used.
- getFilter() - Method in class weka.core.FilteredDistance
-
Gets the filter used.
- getFilter() - Method in class weka.core.neighboursearch.FilteredNeighbourSearch
-
Gets the filter used.
- getFilter() - Method in class weka.filters.CheckSource
-
Gets the filter being used for the tests, can be null.
- getFilter(int) - Method in class weka.filters.MultiFilter
-
Gets a single filter from the set of available filters.
- getFilter(int) - Method in class weka.filters.unsupervised.attribute.PartitionedMultiFilter
-
Gets a single filter from the set of available filters.
- getFilter() - Method in class weka.gui.beans.Filter
-
- getFilter() - Method in class weka.gui.explorer.Explorer.CapabilitiesFilterChangeEvent
-
returns the associated Capabilities filter
- getFilter() - Static method in class weka.gui.explorer.ExplorerDefaults
-
returns the default filter (fully configured) for the preprocess panel.
- getFilter() - Method in class weka.knowledgeflow.steps.Filter
-
Get the filter.
- getFilterAfterFirstBatch() - Method in class weka.filters.unsupervised.instance.SubsetByExpression
-
Get whether to apply the filter to instances that arrive once the first
(training) batch has been seen.
- getFilterClass() - Method in class weka.gui.ExtensionFileFilterWithClass
-
Returns the underlying class.
- getFiltered(int) - Method in class weka.classifiers.rules.RuleStats
-
Get the data after filtering the given rule
- getFilteredInputFormat() - Method in class weka.attributeSelection.PrincipalComponents
-
Return the header of the training data after all filtering - i.e missing
values and nominal to binary.
- getFilters() - Method in class weka.filters.MultiFilter
-
Gets the list of possible filters to choose from.
- getFilters() - Method in class weka.filters.unsupervised.attribute.PartitionedMultiFilter
-
Gets the list of possible filters to choose from.
- getFilters() - Method in class weka.gui.scripting.GroovyScript
-
Returns the extension filters for this type of script.
- getFilters() - Method in class weka.gui.scripting.JythonScript
-
Returns the extension filters for this type of script.
- getFilters() - Method in class weka.gui.scripting.Script
-
Returns the extension filters for this type of script.
- getFilterType() - Method in class weka.classifiers.functions.GaussianProcesses
-
Gets how the training data will be transformed.
- getFilterType() - Method in class weka.classifiers.functions.SMO
-
Gets how the training data will be transformed.
- getFilterType() - Method in class weka.classifiers.functions.SMOreg
-
Gets how the training data will be transformed.
- getFind() - Method in class weka.filters.unsupervised.attribute.RenameAttribute
-
Returns the current regular expression for .
- getFindAllRulesForSupportLevel() - Method in class weka.associations.FPGrowth
-
Get whether all rules meeting the lower bound on min support and the
minimum metric threshold are to be found.
- getFindNumBins() - Method in class weka.filters.unsupervised.attribute.Discretize
-
Get the value of FindNumBins.
- getFindNumBins() - Method in class weka.filters.unsupervised.attribute.PKIDiscretize
-
Get the value of FindNumBins.
- getFirstInputStructure() - Method in class weka.knowledgeflow.steps.Join
-
Get the Instances structure being produced by the first input
- getFirstToken(StreamTokenizer) - Static method in class weka.core.converters.ConverterUtils
-
Gets token, skipping empty lines.
- getFirstToken(StreamTokenizer) - Static method in class weka.core.converters.StreamTokenizerUtils
-
Gets token, skipping empty lines.
- getFirstValueIndex() - Method in class weka.filters.unsupervised.attribute.MergeTwoValues
-
Get the index of the first value used.
- getFirstValueIndex() - Method in class weka.filters.unsupervised.attribute.SwapValues
-
Get the index of the first value used.
- getFlag(char, String[]) - Static method in class weka.core.Utils
-
Checks if the given array contains the flag "-Char".
- getFlag(String, String[]) - Static method in class weka.core.Utils
-
Checks if the given array contains the flag "-String".
- getFlow() - Method in class weka.gui.beans.KnowledgeFlowApp
-
Gets the current flow being edited.
- getFlow() - Method in class weka.gui.knowledgeflow.VisibleLayout
-
Get the flow being edited by this layout
- getFlow() - Method in interface weka.knowledgeflow.FlowExecutor
-
Get the flow to be executed
- getFlow() - Method in class weka.knowledgeflow.FlowRunner
-
Get the flow to execute
- getFlowExecutor() - Method in class weka.gui.knowledgeflow.VisibleLayout
-
Get the FlowExecutor
being used for execution of this flow
- getFlowExecutor() - Method in class weka.knowledgeflow.BaseExecutionEnvironment
-
Get the executor that will actually be responsible for running the flow.
- getFlowFile() - Method in class weka.gui.beans.KnowledgeFlowApp.MainKFPerspective
-
- getFlowFile(int) - Method in class weka.gui.beans.KnowledgeFlowApp.MainKFPerspective
-
- getFlowFile() - Method in class weka.knowledgeflow.steps.Job
-
- getFlowFileExtension() - Method in interface weka.knowledgeflow.FlowLoader
-
Get the extension of the Knowledge Flow file format handled by this loader
- getFlowFileExtension() - Method in class weka.knowledgeflow.JSONFlowLoader
-
Get the file extension handled by this loader
- getFlowFileExtension() - Method in class weka.knowledgeflow.LegacyFlowLoader
-
Get the flow file extension of the file format handled by this flow loader
- getFlowFileExtensionDescription() - Method in interface weka.knowledgeflow.FlowLoader
-
Get a description of the flow file format handled by this loader
- getFlowFileExtensionDescription() - Method in class weka.knowledgeflow.JSONFlowLoader
-
Get the description of the file format handled by this loader
- getFlowFileExtensionDescription() - Method in class weka.knowledgeflow.LegacyFlowLoader
-
Get the description of the file format handled by this flow loader
- getFlowID() - Method in class weka.knowledgeflow.Flow
-
Get an ID string for this flow.
- getFlowLoader(String, Logger) - Static method in class weka.knowledgeflow.Flow
-
Utility method to get a FlowLoader implementation suitable for loading a
flow with the supplied file extension.
- getFlowName() - Method in class weka.knowledgeflow.Flow
-
Get the name of this Flow
- getFlows() - Method in class weka.gui.beans.FlowRunner
-
Get the vector holding the flow(s)
- getFlowXML() - Method in class weka.gui.beans.KnowledgeFlowApp
-
Returns the current flow being edited in XML format.
- getFMeasure() - Method in class weka.classifiers.evaluation.TwoClassStats
-
Calculate the F-Measure.
- getFold() - Method in class weka.filters.supervised.instance.StratifiedRemoveFolds
-
Gets the fold which is selected.
- getFold() - Method in class weka.filters.unsupervised.instance.RemoveFolds
-
Gets the fold which is selected.
- getFoldColumn() - Method in class weka.experiment.PairedTTester
-
Get the value of FoldColumn.
- getFoldColumn() - Method in interface weka.experiment.Tester
-
Get the value of FoldColumn.
- getFolds() - Method in class weka.attributeSelection.ClassifierAttributeEval
-
Get the number of folds used for accuracy estimation
- getFolds() - Method in class weka.attributeSelection.OneRAttributeEval
-
Get the number of folds used for cross validation
- getFolds() - Method in class weka.attributeSelection.WrapperSubsetEval
-
Get the number of folds used for accuracy estimation
- getFolds() - Method in class weka.classifiers.rules.JRip
-
Gets the number of folds
- getFolds() - Method in class weka.gui.beans.CrossValidationFoldMaker
-
Get the currently set number of folds
- getFolds() - Static method in class weka.gui.experiment.ExperimenterDefaults
-
returns the number of folds used for cross-validation.
- getFont() - Method in class weka.core.FontHelper
-
Get the Font wrapped by this instance
- getFont() - Method in class weka.gui.visualize.PostscriptGraphics
-
Get current font.
- getFontMetrics(Font) - Method in class weka.gui.visualize.PostscriptGraphics
-
Get Font metrics
- getFontName() - Method in class weka.core.FontHelper
-
Get the font name
- getFontName() - Method in class weka.gui.scripting.SyntaxDocument
-
gets the current font family.
- getFontRenderContext() - Method in class weka.gui.visualize.PostscriptGraphics
-
START overridden Graphics2D methods
- getFontSize() - Method in class weka.core.FontHelper
-
Get the font size
- getFontSize() - Method in class weka.gui.scripting.SyntaxDocument
-
gets the current font size.
- getFontSizeAdjust() - Method in class weka.gui.beans.Note
-
Get the font size adjustment
- getFontSizeAdjust() - Method in class weka.gui.knowledgeflow.NoteVisual
-
Get the font size adjustment
- getFontStyle() - Method in class weka.core.FontHelper
-
Get the font style (see constants in Font class)
- getForceResampleWithWeights() - Method in class weka.classifiers.meta.WeightedInstancesHandlerWrapper
-
Gets the size of each subSpace, as a percentage of the training set size.
- getFormat() - Method in class weka.core.Debug.Timestamp
-
returns the current timestamp format
- getFormat() - Method in class weka.knowledgeflow.steps.ImageSaver
-
Get the format of the image to save
- getFrameLocation() - Method in class weka.gui.MemoryUsagePanel
-
Returns the default position for the dialog.
- getFrameTitle() - Method in class weka.gui.arffviewer.ArffViewerMainPanel
-
returns the title (incl.
- getFrequency() - Method in class weka.associations.Item
-
Get the frequency of this item.
- getFreshCardinalityOfParents(Instances) - Method in class weka.classifiers.bayes.net.ParentSet
-
returns cardinality of parents after recalculation
- getFrom() - Method in class weka.core.pmml.jaxbbindings.Con1
-
Gets the value of the from property.
- getFromYear() - Static method in class weka.core.Copyright
-
returns the start year of the copyright
- getFStatistic() - Method in class weka.core.pmml.jaxbbindings.MultivariateStat
-
Gets the value of the fStatistic property.
- getFStatistic() - Method in class weka.core.pmml.jaxbbindings.PredictiveModelQuality
-
Gets the value of the fStatistic property.
- getFunction(String) - Static method in class weka.core.pmml.Function
-
Get a built-in PMML Function.
- getFunction(String, TransformationDictionary) - Static method in class weka.core.pmml.Function
-
Get either a function.
- getFunction() - Method in class weka.core.pmml.jaxbbindings.Aggregate
-
Gets the value of the function property.
- getFunction() - Method in class weka.core.pmml.jaxbbindings.Apply
-
Gets the value of the function property.
- getFunction() - Method in class weka.datagenerators.classifiers.classification.Agrawal
-
Gets the function for generating the data.
- getFunctionName() - Method in class weka.core.pmml.jaxbbindings.AssociationModel
-
Gets the value of the functionName property.
- getFunctionName() - Method in class weka.core.pmml.jaxbbindings.BaselineModel
-
Gets the value of the functionName property.
- getFunctionName() - Method in class weka.core.pmml.jaxbbindings.ClusteringModel
-
Gets the value of the functionName property.
- getFunctionName() - Method in class weka.core.pmml.jaxbbindings.DecisionTree
-
Gets the value of the functionName property.
- getFunctionName() - Method in class weka.core.pmml.jaxbbindings.GeneralRegressionModel
-
Gets the value of the functionName property.
- getFunctionName() - Method in class weka.core.pmml.jaxbbindings.MiningModel
-
Gets the value of the functionName property.
- getFunctionName() - Method in class weka.core.pmml.jaxbbindings.NaiveBayesModel
-
Gets the value of the functionName property.
- getFunctionName() - Method in class weka.core.pmml.jaxbbindings.NearestNeighborModel
-
Gets the value of the functionName property.
- getFunctionName() - Method in class weka.core.pmml.jaxbbindings.NeuralNetwork
-
Gets the value of the functionName property.
- getFunctionName() - Method in class weka.core.pmml.jaxbbindings.Regression
-
Gets the value of the functionName property.
- getFunctionName() - Method in class weka.core.pmml.jaxbbindings.RegressionModel
-
Gets the value of the functionName property.
- getFunctionName() - Method in class weka.core.pmml.jaxbbindings.RuleSetModel
-
Gets the value of the functionName property.
- getFunctionName() - Method in class weka.core.pmml.jaxbbindings.Scorecard
-
Gets the value of the functionName property.
- getFunctionName() - Method in class weka.core.pmml.jaxbbindings.SequenceModel
-
Gets the value of the functionName property.
- getFunctionName() - Method in class weka.core.pmml.jaxbbindings.SupportVectorMachineModel
-
Gets the value of the functionName property.
- getFunctionName() - Method in class weka.core.pmml.jaxbbindings.TextModel
-
Gets the value of the functionName property.
- getFunctionName() - Method in class weka.core.pmml.jaxbbindings.TimeSeriesModel
-
Gets the value of the functionName property.
- getFunctionName() - Method in class weka.core.pmml.jaxbbindings.TreeModel
-
Gets the value of the functionName property.
- getFValue() - Method in class weka.core.pmml.jaxbbindings.AnovaRow
-
Gets the value of the fValue property.
- getGamma() - Method in class weka.classifiers.functions.supportVector.RBFKernel
-
Gets the gamma value.
- getGamma() - Method in class weka.core.pmml.jaxbbindings.PolynomialKernelType
-
Gets the value of the gamma property.
- getGamma() - Method in class weka.core.pmml.jaxbbindings.RadialBasisKernelType
-
Gets the value of the gamma property.
- getGamma() - Method in class weka.core.pmml.jaxbbindings.SigmoidKernelType
-
Gets the value of the gamma property.
- getGamma() - Method in class weka.core.pmml.jaxbbindings.TrendExpoSmooth
-
Gets the value of the gamma property.
- getGap() - Method in class weka.core.pmml.jaxbbindings.Delimiter
-
Gets the value of the gap property.
- getGaussianDistribution() - Method in class weka.core.pmml.jaxbbindings.Alternate
-
Gets the value of the gaussianDistribution property.
- getGaussianDistribution() - Method in class weka.core.pmml.jaxbbindings.Baseline
-
Gets the value of the gaussianDistribution property.
- getGCount(Node, int) - Static method in class weka.gui.treevisualizer.Node
-
Recursively finds the number of visible groups of siblings there are.
- getGeneralRegressionModel() - Method in class weka.core.pmml.jaxbbindings.Segment
-
Gets the value of the generalRegressionModel property.
- getGenerateRanking() - Method in class weka.attributeSelection.GreedyStepwise
-
Gets whether ranking has been requested.
- getGenerateRanking() - Method in interface weka.attributeSelection.RankedOutputSearch
-
Gets whether the user has opted to see a ranked list of
attributes rather than the normal result of the search
- getGenerateRanking() - Method in class weka.attributeSelection.Ranker
-
This is a dummy method.
- getGenerateSparseData() - Method in class weka.gui.sql.SqlViewerDialog
-
Returns whether sparse data is generated.
- getGenerator() - Method in class weka.gui.explorer.DataGeneratorPanel
-
returns the currently selected DataGenerator
- getGeneratorSamplesBase() - Method in class weka.gui.boundaryvisualizer.BoundaryPanel
-
Get the base used for computing the number of samples to obtain from each
generator
- getGlobalBlend() - Method in class weka.classifiers.lazy.KStar
-
Get the value of the global blend parameter
- getGlobalInfo(Object, boolean) - Static method in class weka.core.Utils
-
Utility method for grabbing the global info help (if it exists) from an
arbitrary object.
- getGlobalInfo(Object) - Static method in class weka.gui.beans.KnowledgeFlowApp
-
Utility method for grabbing the global info help (if it exists) from an
arbitrary object
- getGlobalInputProperties() - Static method in class weka.gui.GenericPropertiesCreator
-
Get the global input properties
- getGlobalModel() - Method in class weka.classifiers.trees.j48.NBTreeSplit
-
Return the global naive bayes model for this node
- getGlobalOutputProperties() - Static method in class weka.gui.GenericPropertiesCreator
-
Get the global output properties
- getGlobalTermWeights() - Method in class weka.core.pmml.jaxbbindings.TextModelNormalization
-
Gets the value of the globalTermWeights property.
- getGracePeriod() - Method in class weka.classifiers.trees.HoeffdingTree
-
Get the number of instances (or total weight of instances) a leaf should
observe between split attempts
- getGraphicalEnvironmentCommandHandler() - Method in class weka.knowledgeflow.BaseExecutionEnvironment
-
Get the environment for performing commands at the application-level in a
graphical environment.
- getGraphicalEnvironmentCommandHandler() - Method in interface weka.knowledgeflow.ExecutionEnvironment
-
Get the environment for performing commands at the application-level in a
graphical environment.
- getGraphString() - Method in class weka.gui.beans.GraphEvent
-
Return the dot string for the graph
- getGraphTitle() - Method in class weka.gui.beans.GraphEvent
-
Return the graph title
- getGraphType() - Method in class weka.gui.beans.GraphEvent
-
Return the graph type
- getGridWidth() - Method in class weka.gui.beans.AttributeSummarizer
-
Get the width of the grid of plots
- getGroupField() - Method in class weka.core.pmml.jaxbbindings.Aggregate
-
Gets the value of the groupField property.
- getGroupIdentifier() - Method in class weka.gui.beans.BatchClassifierEvent
-
- getGUI() - Method in class weka.classifiers.functions.MultilayerPerceptron
-
- getGUIType() - Method in class weka.gui.Main
-
Gets the currently set type of GUI to display.
- getH() - Method in class weka.core.matrix.QRDecomposition
-
Return the Householder vectors
- getHandler() - Method in class weka.core.FindWithCapabilities
-
returns the current set CapabilitiesHandler to generate the dataset for,
can be null.
- getHandler() - Method in class weka.core.TestInstances
-
returns the current set CapabilitiesHandler to generate the dataset for,
can be null
- getHashtable(ArrayList<Object>, int) - Static method in class weka.associations.ItemSet
-
Return a hashtable filled with the given item sets.
- getHashtable(ArrayList<Object>, int) - Static method in class weka.associations.LabeledItemSet
-
Return a hashtable filled with the given item sets.
- getHeader() - Method in class weka.classifiers.bayes.NaiveBayes
-
Return the header that this classifier was trained with
- getHeader() - Method in class weka.classifiers.evaluation.Evaluation
-
Returns the header of the underlying dataset.
- getHeader() - Method in class weka.classifiers.Evaluation
-
Returns the header of the underlying dataset.
- getHeader() - Method in class weka.classifiers.evaluation.output.prediction.AbstractOutput
-
Returns the header of the dataset.
- getHeader() - Method in class weka.core.pmml.jaxbbindings.PMML
-
Gets the value of the header property.
- getHeader(String) - Method in class weka.experiment.ResultMatrix
-
returns the value associated with the given key, null if if cannot be
found.
- getHeight() - Method in class weka.gui.beans.BeanInstance
-
Gets the height of this bean
- getHeight(Node, int) - Static method in class weka.gui.treevisualizer.Node
-
Recursively finds the number of visible levels there are.
- getHelp() - Method in class weka.gui.simplecli.AbstractCommand
-
Returns the help string (no indentation).
- getHelp() - Method in class weka.gui.simplecli.Capabilities
-
Returns the help string (no indentation).
- getHelp() - Method in class weka.gui.simplecli.Cls
-
Returns the help string (no indentation).
- getHelp() - Method in class weka.gui.simplecli.Echo
-
Returns the help string (no indentation).
- getHelp() - Method in class weka.gui.simplecli.Exit
-
Returns the help string (no indentation).
- getHelp() - Method in class weka.gui.simplecli.Help
-
Returns the help string (no indentation).
- getHelp() - Method in class weka.gui.simplecli.History
-
Returns the help string (no indentation).
- getHelp() - Method in class weka.gui.simplecli.Java
-
Returns the help string (no indentation).
- getHelp() - Method in class weka.gui.simplecli.Kill
-
Returns the help string (no indentation).
- getHelp() - Method in class weka.gui.simplecli.Script
-
Returns the help string (no indentation).
- getHelp() - Method in class weka.gui.simplecli.Set
-
Returns the help string (no indentation).
- getHelp() - Method in class weka.gui.simplecli.Unset
-
Returns the help string (no indentation).
- getHeuristicStop() - Method in class weka.classifiers.functions.SimpleLogistic
-
Get the value of heuristicStop.
- getHiddenLayers() - Method in class weka.classifiers.functions.MultilayerPerceptron
-
- getHighValue() - Method in class weka.core.pmml.jaxbbindings.MiningField
-
Gets the value of the highValue property.
- getHistory() - Method in class weka.gui.GenericObjectEditor
-
Returns the history of the used setups.
- getHistory() - Method in class weka.gui.GenericObjectEditorHistory
-
Returns the current history.
- getHistory() - Method in class weka.gui.sql.ConnectionPanel
-
returns the history.
- getHistory() - Method in class weka.gui.sql.event.HistoryChangedEvent
-
returns the history model
- getHistory() - Method in class weka.gui.sql.QueryPanel
-
returns the history.
- getHistoryItem() - Method in class weka.gui.GenericObjectEditorHistory.HistorySelectionEvent
-
Returns the selected history item.
- getHistoryName() - Method in class weka.gui.sql.event.HistoryChangedEvent
-
returns the name of the history
- getHoeffdingTieThreshold() - Method in class weka.classifiers.trees.HoeffdingTree
-
Get the threshold below which a split will be forced to break ties
- getHoldOutFile() - Method in class weka.attributeSelection.ClassifierSubsetEval
-
Gets the file that holds hold out/test instances.
- getHomeDir() - Static method in class weka.core.Debug
-
returns the home directory of the user
- getIcon(double) - Method in class weka.gui.knowledgeflow.StepVisual
-
Get the icon for this visual at the given scale factor
- getIcon() - Method in class weka.gui.scripting.GroovyPanel
-
Returns an icon to be used in a frame.
- getIcon() - Method in class weka.gui.scripting.JythonPanel
-
Returns an icon to be used in a frame.
- getIcon() - Method in class weka.gui.scripting.ScriptingPanel
-
Returns an icon to be used in a frame.
- getIcon() - Method in class weka.gui.SimpleCLIPanel
-
Returns an icon to be used in a frame.
- getIconPath() - Method in class weka.gui.beans.BeanVisual
-
returns the path for the icon
- getIconPath() - Method in class weka.knowledgeflow.steps.WekaAlgorithmWrapper
-
Get the path to the icon for this wrapped algorithm
- getId() - Method in class weka.classifiers.functions.neural.NeuralConnection
-
- getID() - Method in class weka.core.Debug.Random
-
returns the unique ID of this number generator
- getID() - Method in class weka.core.Defaults
-
Get the ID of this set of defaults
- getId() - Method in class weka.core.pmml.jaxbbindings.AssociationRule
-
Gets the value of the id property.
- getId() - Method in class weka.core.pmml.jaxbbindings.Cluster
-
Gets the value of the id property.
- getId() - Method in class weka.core.pmml.jaxbbindings.Item
-
Gets the value of the id property.
- getId() - Method in class weka.core.pmml.jaxbbindings.Itemset
-
Gets the value of the id property.
- getId() - Method in class weka.core.pmml.jaxbbindings.NeuralInput
-
Gets the value of the id property.
- getId() - Method in class weka.core.pmml.jaxbbindings.Neuron
-
Gets the value of the id property.
- getId() - Method in class weka.core.pmml.jaxbbindings.Node
-
Gets the value of the id property.
- getId() - Method in class weka.core.pmml.jaxbbindings.Segment
-
Gets the value of the id property.
- getId() - Method in class weka.core.pmml.jaxbbindings.Sequence
-
Gets the value of the id property.
- getId() - Method in class weka.core.pmml.jaxbbindings.SequenceRule
-
Gets the value of the id property.
- getId() - Method in class weka.core.pmml.jaxbbindings.SetPredicate
-
Gets the value of the id property.
- getId() - Method in class weka.core.pmml.jaxbbindings.SimpleRule
-
Gets the value of the id property.
- getId() - Method in class weka.core.pmml.jaxbbindings.TextDocument
-
Gets the value of the id property.
- getId() - Method in class weka.core.pmml.jaxbbindings.VectorInstance
-
Gets the value of the id property.
- getID() - Method in class weka.core.pmml.VectorInstance
-
Get the ID of this vector instance
- getID() - Method in class weka.core.Settings
-
Get the ID used for these settings
- getID() - Method in class weka.core.Tag
-
Gets the numeric ID of the Tag.
- getID() - Method in class weka.core.TechnicalInformation
-
returns the unique ID (either the one used in creating this instance or the
automatically generated one)
- getID() - Method in class weka.gui.streams.InstanceEvent
-
Get the event type
- getID() - Method in class weka.gui.treevisualizer.TreeDisplayEvent
-
- getIDFTransform() - Method in class weka.core.DictionaryBuilder
-
Sets whether if the word frequencies in a document should be transformed
into:
fij*log(num of Docs/num of Docs with word i)
where fij is the frequency of word i in document(instance) j.
- getIDFTransform() - Method in class weka.filters.unsupervised.attribute.FixedDictionaryStringToWordVector
-
Sets whether if the word frequencies in a document should be transformed
into:
fij*log(num of Docs/num of Docs with word i)
where fij is the frequency of word i in document(instance) j.
- getIDFTransform() - Method in class weka.filters.unsupervised.attribute.StringToWordVector
-
Sets whether if the word frequencies in a document should be transformed
into:
fij*log(num of Docs/num of Docs with word i)
where fij is the frequency of word i in document(instance) j.
- getIDIndex() - Method in class weka.filters.unsupervised.attribute.AddID
-
Get the index of the attribute used.
- getIDStr() - Method in class weka.core.Tag
-
Gets the string ID of the Tag.
- getIgnoreCase() - Method in class weka.filters.unsupervised.attribute.RenameNominalValues
-
- getIgnoreCase() - Method in class weka.gui.beans.SubstringLabelerRules.SubstringLabelerMatchRule
-
Get whether to ignore case when matching
- getIgnoreCase() - Method in class weka.gui.beans.SubstringReplacerRules.SubstringReplacerMatchRule
-
Get whether to ignore case when matching
- getIgnoreCaseForNames() - Method in class weka.classifiers.misc.InputMappedClassifier
-
Get whether to ignore case when matching attribute names and nominal
values.
- getIgnoreClass() - Method in class weka.filters.unsupervised.attribute.PotentialClassIgnorer
-
Gets the IgnoreClass value.
- getIgnoreClass() - Method in class weka.filters.unsupervised.attribute.ReplaceWithMissingValue
-
Gets the IgnoreClass value.
- getIgnoredAttributeIndices() - Method in class weka.filters.unsupervised.attribute.AddCluster
-
Gets ranges of attributes to be ignored.
- getIgnoredAttributeIndices() - Method in class weka.filters.unsupervised.attribute.ClusterMembership
-
Gets ranges of attributes to be ignored.
- getIgnoredProperties() - Method in class weka.core.CheckGOE
-
Get the ignored properties used in checkToolTips() as comma-separated list
(sorted).
- getIgnoreRange() - Method in class weka.filters.unsupervised.attribute.MathExpression
-
Get the current range selection.
- getImage() - Method in class weka.gui.beans.ImageEvent
-
Get the encapsulated image
- getImage(String, String) - Static method in class weka.gui.ComponentHelper
-
returns the Image for a given directory and filename, NULL if not successful
- getImage(String) - Static method in class weka.gui.ComponentHelper
-
returns the Image for a given filename, NULL if not successful
- getImageHeight() - Method in class weka.knowledgeflow.steps.BoundaryPlotter
-
Get the image height (in pixels)
- getImageIcon(String, String) - Static method in class weka.gui.ComponentHelper
-
returns the ImageIcon for a given filename and directory, NULL if not successful
- getImageIcon(String) - Static method in class weka.gui.ComponentHelper
-
returns the ImageIcon for a given filename, NULL if not successful
- getImagEigenvalues() - Method in class weka.core.matrix.EigenvalueDecomposition
-
Return the imaginary parts of the eigenvalues
- getImageName() - Method in class weka.gui.beans.ImageEvent
-
Get the name of the image
- getImages() - Method in class weka.knowledgeflow.steps.BoundaryPlotter
-
Get the completed images
- getImages() - Method in class weka.knowledgeflow.steps.ImageViewer
-
Get a map of named images that this step has collected
- getImageWidth() - Method in class weka.knowledgeflow.steps.BoundaryPlotter
-
Get the image width (in pixels)
- getImportance() - Method in class weka.core.pmml.jaxbbindings.MiningField
-
Gets the value of the importance property.
- getImportance() - Method in class weka.core.pmml.jaxbbindings.MultivariateStat
-
Gets the value of the importance property.
- getImpurityDecreases() - Method in class weka.classifiers.trees.RandomTree
-
Get the array of impurity decrease/gain sums
- getIncludeClass() - Method in class weka.core.InstanceComparator
-
Returns whether the class is included in the comparison.
- getIncludeClass() - Method in class weka.filters.unsupervised.attribute.NumericCleaner
-
Gets whether the class is included in the cleaning process or always
skipped.
- getIncludeRelationName() - Method in class weka.gui.beans.SerializedModelSaver
-
Get whether the relation name of the training data used to create the model
is to be included in the filename of the serialized model.
- getIncludeRelationNameInFilename() - Method in class weka.knowledgeflow.steps.SerializedModelSaver
-
Get whether to include the relation name as part of the filename
- getIncomingConnectedStepsOfConnectionType(String) - Method in interface weka.knowledgeflow.StepManager
-
Get a list of steps that are the source of incoming connections of the
given type
- getIncomingConnectedStepsOfConnectionType(String) - Method in class weka.knowledgeflow.StepManagerImpl
-
Get a list of steps providing incoming connections of the specified type
- getIncomingConnectedStepWithName(String) - Method in interface weka.knowledgeflow.StepManager
-
Get the named step that is connected with an incoming connection.
- getIncomingConnectedStepWithName(String) - Method in class weka.knowledgeflow.StepManagerImpl
-
Get a named step connected to this step with an incoming connection
- getIncomingConnections() - Method in interface weka.knowledgeflow.StepManager
-
Get a Map of all incoming connections.
- getIncomingConnections() - Method in class weka.knowledgeflow.StepManagerImpl
-
Get the man of upstream (incoming connections) connected steps
- getIncomingConnectionTypes() - Method in class weka.knowledgeflow.steps.AlterRelationName
-
Get the list of acceptable incoming connection types
- getIncomingConnectionTypes() - Method in class weka.knowledgeflow.steps.Appender
-
Get the incoming connection types accepted by this step at this time
- getIncomingConnectionTypes() - Method in class weka.knowledgeflow.steps.ASEvaluator
-
Get incoming connections accepted given the current state of the step
- getIncomingConnectionTypes() - Method in class weka.knowledgeflow.steps.ASSearchStrategy
-
Get a list of incoming connections that this step accepts.
- getIncomingConnectionTypes() - Method in class weka.knowledgeflow.steps.Associator
-
Get a list of incoming connection types that this step can accept at this
time
- getIncomingConnectionTypes() - Method in class weka.knowledgeflow.steps.BaseSimpleDataVisualizer
-
Get a list of incoming connection types that this step can accept at this
time
- getIncomingConnectionTypes() - Method in interface weka.knowledgeflow.steps.BaseStepExtender
-
Get a list of incoming connection types that this step can accept.
- getIncomingConnectionTypes() - Method in class weka.knowledgeflow.steps.Block
-
Get a list of incoming connection types that this step can accept at this
time
- getIncomingConnectionTypes() - Method in class weka.knowledgeflow.steps.BoundaryPlotter
-
Get a list of incoming connection types that this step can accept.
- getIncomingConnectionTypes() - Method in class weka.knowledgeflow.steps.ClassAssigner
-
Get the incoming connections that this step can accept at this time
- getIncomingConnectionTypes() - Method in class weka.knowledgeflow.steps.Classifier
-
- getIncomingConnectionTypes() - Method in class weka.knowledgeflow.steps.ClassifierPerformanceEvaluator
-
Get a list of incoming connection types that this step can accept.
- getIncomingConnectionTypes() - Method in class weka.knowledgeflow.steps.ClassValuePicker
-
Get a list of incoming connection types that this step can accept.
- getIncomingConnectionTypes() - Method in class weka.knowledgeflow.steps.Clusterer
-
Get a list of connection types that could be made to this Step at this
point in time
- getIncomingConnectionTypes() - Method in class weka.knowledgeflow.steps.ClustererPerformanceEvaluator
-
Get a list of incoming connection types that this step can accept.
- getIncomingConnectionTypes() - Method in class weka.knowledgeflow.steps.CostBenefitAnalysis
-
- getIncomingConnectionTypes() - Method in class weka.knowledgeflow.steps.CrossValidationFoldMaker
-
Get a list of incoming connection types that this step can accept.
- getIncomingConnectionTypes() - Method in class weka.knowledgeflow.steps.DataGenerator
-
Get acceptable incoming connection types.
- getIncomingConnectionTypes() - Method in class weka.knowledgeflow.steps.DataGrid
-
- getIncomingConnectionTypes() - Method in class weka.knowledgeflow.steps.DataVisualizer
-
- getIncomingConnectionTypes() - Method in class weka.knowledgeflow.steps.Dummy
-
Get a list of incoming connection types that this step can accept.
- getIncomingConnectionTypes() - Method in class weka.knowledgeflow.steps.ExecuteProcess
-
Get the acceptable incoming connection types at this point in time
- getIncomingConnectionTypes() - Method in class weka.knowledgeflow.steps.Filter
-
Get a list of incoming connection types that this step can accept.
- getIncomingConnectionTypes() - Method in class weka.knowledgeflow.steps.FlowByExpression
-
Get a list of incoming connection types that this step can accept.
- getIncomingConnectionTypes() - Method in class weka.knowledgeflow.steps.GetDataFromResult
-
- getIncomingConnectionTypes() - Method in class weka.knowledgeflow.steps.GraphViewer
-
Get a list of incoming connection types that this step can accept.
- getIncomingConnectionTypes() - Method in class weka.knowledgeflow.steps.ImageSaver
-
Get a list of incoming connection types that this step can accept.
- getIncomingConnectionTypes() - Method in class weka.knowledgeflow.steps.ImageViewer
-
Get a list of acceptable incoming connections - only StepManager.CON_IMAGE
in this case
- getIncomingConnectionTypes() - Method in class weka.knowledgeflow.steps.IncrementalClassifierEvaluator
-
Get a list of incoming connection types that this step can accept.
- getIncomingConnectionTypes() - Method in class weka.knowledgeflow.steps.InstanceStreamToBatchMaker
-
Get a list of incoming connection types that this step can accept.
- getIncomingConnectionTypes() - Method in class weka.knowledgeflow.steps.Job
-
- getIncomingConnectionTypes() - Method in class weka.knowledgeflow.steps.Join
-
Get a list of incoming connection types that this step can accept.
- getIncomingConnectionTypes() - Method in class weka.knowledgeflow.steps.Loader
-
Get a list of incoming connection types that this step can accept.
- getIncomingConnectionTypes() - Method in class weka.knowledgeflow.steps.MakeResourceIntensive
-
Get a list of incoming connection types that this step can accept.
- getIncomingConnectionTypes() - Method in class weka.knowledgeflow.steps.MemoryBasedDataSource
-
Get a list of incoming connection types that this step can accept.
- getIncomingConnectionTypes() - Method in class weka.knowledgeflow.steps.ModelPerformanceChart
-
Get a list of incoming connection types that this step can accept.
- getIncomingConnectionTypes() - Method in class weka.knowledgeflow.steps.Note
-
Get incoming connections accepted - none in the case of a note :-)
- getIncomingConnectionTypes() - Method in class weka.knowledgeflow.steps.PredictionAppender
-
Get the incoming connection types that this step accepts
- getIncomingConnectionTypes() - Method in class weka.knowledgeflow.steps.Saver
-
Get a list of incoming connection types that this step can receive at this
time
- getIncomingConnectionTypes() - Method in class weka.knowledgeflow.steps.SendToPerspective
-
- getIncomingConnectionTypes() - Method in class weka.knowledgeflow.steps.SerializedModelSaver
-
Get a list of incoming connection types that this step can accept.
- getIncomingConnectionTypes() - Method in class weka.knowledgeflow.steps.SetPropertiesFromEnvironment
-
Get a list of acceptable incoming connection types
- getIncomingConnectionTypes() - Method in class weka.knowledgeflow.steps.SetVariables
-
Get a list of incoming connection types that this step can accept.
- getIncomingConnectionTypes() - Method in class weka.knowledgeflow.steps.Sorter
-
Get a list of incoming connection types that this step can accept.
- getIncomingConnectionTypes() - Method in interface weka.knowledgeflow.steps.Step
-
Get a list of incoming connection types that this step can accept.
- getIncomingConnectionTypes() - Method in class weka.knowledgeflow.steps.StorePropertiesInEnvironment
-
- getIncomingConnectionTypes() - Method in class weka.knowledgeflow.steps.StripChart
-
Get a list of incoming connection types that this step can accept.
- getIncomingConnectionTypes() - Method in class weka.knowledgeflow.steps.SubstringLabeler
-
Get a list of incoming connection types that this step can accept.
- getIncomingConnectionTypes() - Method in class weka.knowledgeflow.steps.SubstringReplacer
-
Get a list of incoming connection types that this step can accept.
- getIncomingConnectionTypes() - Method in class weka.knowledgeflow.steps.TestSetMaker
-
Get a list of incoming connection types that this step can accept.
- getIncomingConnectionTypes() - Method in class weka.knowledgeflow.steps.TextSaver
-
Get a list of incoming connection types that this step can accept.
- getIncomingConnectionTypes() - Method in class weka.knowledgeflow.steps.TextViewer
-
Get a list of incoming connection types that this step can accept.
- getIncomingConnectionTypes() - Method in class weka.knowledgeflow.steps.TrainingSetMaker
-
Get a list of incoming connection types that this step can accept.
- getIncomingConnectionTypes() - Method in class weka.knowledgeflow.steps.TrainTestSplitMaker
-
Get a list of incoming connection types that this step can accept.
- getIncomingConnectionTypes() - Method in class weka.knowledgeflow.steps.WriteDataToResult
-
- getIncomingConnectionTypes() - Method in class weka.knowledgeflow.steps.WriteWekaLog
-
Get a list of acceptable incoming connection types (at this point in time)
- getIncomingStructureForConnectionType(String) - Method in interface weka.knowledgeflow.StepManager
-
Attempt to retrieve the structure (as a header-only set of instances) for
the named incoming connection type.
- getIncomingStructureForConnectionType(String, Environment) - Method in interface weka.knowledgeflow.StepManager
-
Attempt to retrieve the structure (as a header-only set of instances) for
the named incoming connection type.
- getIncomingStructureForConnectionType(String) - Method in class weka.knowledgeflow.StepManagerImpl
-
Attempt to get the incoming structure (as a header-only set of instances)
for the named incoming connection type.
- getIncomingStructureForConnectionType(String, Environment) - Method in class weka.knowledgeflow.StepManagerImpl
-
Attempt to retrieve the structure (as a header-only set of instances) for
the named incoming connection type.
- getIncomingStructureFromStep(StepManager, String) - Method in interface weka.knowledgeflow.StepManager
-
Attempt to get the incoming structure (as a header-only set of instances)
from the given managed step for the given connection type.
- getIncomingStructureFromStep(StepManager, String) - Method in class weka.knowledgeflow.StepManagerImpl
-
Attempt to get the incoming structure (as a header-only set of instances)
from the given managed step for the given connection type.
- getIncompatibleDependencies(List<Package>) - Method in class weka.core.packageManagement.DefaultPackage
-
Gets those packages from the supplied list that this package depends on and
are currently incompatible with this package.
- getIncompatibleDependencies() - Method in class weka.core.packageManagement.DefaultPackage
-
Gets a list of installed packages that this package depends on that are
currently incompatible with this package.
- getIncompatibleDependencies() - Method in class weka.core.packageManagement.Package
-
Gets a list of installed packages that this package depends on that are
currently incompatible with this package.
- getIncompatibleDependencies(List<Package>) - Method in class weka.core.packageManagement.Package
-
Gets those packages from the supplied list that this package depends on and
are currently incompatible with this package.
- getIncrementalLoggingFrequency() - Method in class weka.knowledgeflow.steps.WriteWekaLog
-
Get how frequently to write an incremental data point to the log
- getIncrementalSaveSchedule() - Method in class weka.gui.beans.SerializedModelSaver
-
Get how often to save incremental models.
- getIncrementalSaveSchedule() - Method in class weka.knowledgeflow.steps.SerializedModelSaver
-
Get how frequently to save an incremental model
- getIndentationSize() - Method in class weka.gui.scripting.SyntaxDocument
-
Returns the number of blanks used for indentation.
- getIndex() - Method in class weka.core.pmml.jaxbbindings.TimeValue
-
Gets the value of the index property.
- getIndex() - Method in class weka.core.PropertyPath.PathElement
-
returns the index of the property, -1 if the property is not an
index-based one
- getIndex() - Method in class weka.core.SingleIndex
-
Gets the selected index.
- getIndex() - Method in class weka.gui.SortedTableModel.SortContainer
-
Returns the original index of the item.
- getIndexedPrimaryResult(int) - Method in class weka.knowledgeflow.steps.PairedDataHelper
-
Retrieve the primary result corresponding to a given set number
- getIndexedValueFromNamedStore(String, Integer) - Method in class weka.knowledgeflow.steps.PairedDataHelper
-
Gets an indexed value from a named store
- getIndices() - Method in class weka.core.pmml.jaxbbindings.INTSparseArray
-
Gets the value of the indices property.
- getIndices() - Method in class weka.core.pmml.jaxbbindings.REALSparseArray
-
Gets the value of the indices property.
- getInfoData() - Method in interface weka.gui.visualize.InstanceInfo
-
Returns the underlying data.
- getInfoData() - Method in class weka.gui.visualize.InstanceInfoFrame
-
Returns the underlying data.
- getInfoStep(Class) - Method in interface weka.knowledgeflow.StepManager
-
Returns a reference to the step being managed if it has one or more
outgoing CON_INFO connections and the managed step is of the supplied class
- getInfoStep() - Method in interface weka.knowledgeflow.StepManager
-
Returns a reference to the step being managed if it has one or more
outgoing CON_INFO connections.
- getInfoStep(Class) - Method in class weka.knowledgeflow.StepManagerImpl
-
Returns a reference to the step being managed if it has one or more
outgoing CON_INFO connections and the managed step is of the supplied class
- getInfoStep() - Method in class weka.knowledgeflow.StepManagerImpl
-
Returns a reference to the step being managed if it has one or more
outgoing CON_INFO connections.
- getInfoText() - Method in interface weka.gui.visualize.InstanceInfo
-
Returns the currently displayed info text.
- getInfoText() - Method in class weka.gui.visualize.InstanceInfoFrame
-
Returns the currently displayed info text.
- getInitAsNaiveBayes() - Method in class weka.classifiers.bayes.net.search.global.HillClimber
-
Gets whether to init as naive bayes
- getInitAsNaiveBayes() - Method in class weka.classifiers.bayes.net.search.global.K2
-
Gets whether to init as naive bayes
- getInitAsNaiveBayes() - Method in class weka.classifiers.bayes.net.search.local.HillClimber
-
Gets whether to init as naive bayes
- getInitAsNaiveBayes() - Method in class weka.classifiers.bayes.net.search.local.K2
-
Gets whether to init as naive bayes
- getInitFile() - Method in class weka.filters.unsupervised.attribute.KernelFilter
-
Gets the file to initialize the filter with, can be null.
- getInitFileClassIndex() - Method in class weka.filters.unsupervised.attribute.KernelFilter
-
Gets the class index of the file to initialize the filter with.
- getInitGenericObjectEditorFilter() - Static method in class weka.gui.explorer.ExplorerDefaults
-
returns if the GOEs in the Explorer will be initialized based on the data
that is loaded into the Explorer.
- getInitial() - Method in class weka.core.Memory
-
returns the initial size of the JVM heap, obtains a fresh MemoryUsage
object to do so.
- getInitialCount() - Method in class weka.classifiers.trees.REPTree
-
Get the value of InitialCount.
- getInitialDatasetsDirectory() - Static method in class weka.gui.experiment.ExperimenterDefaults
-
returns the initial directory for the datasets (if empty, it returns the
user's home directory).
- getInitialDirectory() - Static method in class weka.gui.explorer.ExplorerDefaults
-
Returns the initial directory for the file chooser used for opening
datasets.
- getInitializationMethod() - Method in class weka.clusterers.SimpleKMeans
-
Get the initialization method to use
- getInitializer() - Method in class weka.core.expressionlanguage.common.SimpleVariableDeclarations
-
Returns an object to initialize the declared variables
- getInitialScore() - Method in class weka.core.pmml.jaxbbindings.Scorecard
-
Gets the value of the initialScore property.
- getInlineTable() - Method in class weka.core.pmml.jaxbbindings.ChildParent
-
Gets the value of the inlineTable property.
- getInlineTable() - Method in class weka.core.pmml.jaxbbindings.MapValues
-
Gets the value of the inlineTable property.
- getInlineTable() - Method in class weka.core.pmml.jaxbbindings.ModelVerification
-
Gets the value of the inlineTable property.
- getInlineTable() - Method in class weka.core.pmml.jaxbbindings.TrainingInstances
-
Gets the value of the inlineTable property.
- getInputFilename() - Method in class weka.gui.GenericPropertiesCreator
-
returns the name of the input file
- getInputFormat() - Method in class weka.core.DictionaryBuilder
-
Gets the currently set input format
- getInputNums() - Method in class weka.classifiers.functions.neural.NeuralConnection
-
Use this to get easy access to the input numbers.
- getInputOrder() - Method in class weka.datagenerators.clusterers.BIRCHCluster
-
Gets the input order.
- getInputProperties() - Method in class weka.gui.GenericPropertiesCreator
-
returns the input properties object (template containing the packages)
- getInputs() - Method in class weka.classifiers.functions.neural.NeuralConnection
-
Use this to get easy access to the inputs.
- getInputs() - Method in class weka.gui.beans.MetaBean
-
- getInputStream(String, String) - Static method in class weka.gui.Loader
-
returns an InputStream for the given dir and filename, can be NULL if it
fails
- getInputStream(String) - Method in class weka.gui.Loader
-
returns an InputStream for the given filename, can be NULL if it fails
- getInputStructure() - Method in class weka.gui.beans.SubstringLabelerRules
-
Get the input structure
- getInstalledLookAndFeels() - Static method in class weka.gui.LookAndFeel
-
returns an array with the classnames of all the installed LnFs
- getInstalledPackageInfo(String) - Method in class weka.core.packageManagement.DefaultPackageManager
-
Get package information on the named installed package.
- getInstalledPackageInfo(String) - Method in class weka.core.packageManagement.PackageManager
-
Get package information on the named installed package.
- getInstalledPackageInfo(String) - Static method in class weka.core.WekaPackageManager
-
Get meta data for an installed package
- getInstalledPackages() - Method in class weka.core.packageManagement.DefaultPackageManager
-
Get a list of installed packages.
- getInstalledPackages() - Method in class weka.core.packageManagement.PackageManager
-
Get a list of installed packages.
- getInstalledPackages() - Static method in class weka.core.WekaPackageManager
-
Get a list of installed packages
- getInstance() - Method in class weka.gui.beans.InstanceEvent
-
Get the instance
- getInstanceField() - Method in class weka.core.pmml.jaxbbindings.InstanceFields
-
Gets the value of the instanceField property.
- getInstanceFields() - Method in class weka.core.pmml.jaxbbindings.TrainingInstances
-
Gets the value of the instanceFields property.
- getInstanceIdVariable() - Method in class weka.core.pmml.jaxbbindings.NearestNeighborModel
-
Gets the value of the instanceIdVariable property.
- getInstanceRange() - Method in class weka.filters.unsupervised.attribute.AbstractTimeSeries
-
Gets the number of instances forward to translate values between.
- getInstances() - Method in class weka.core.converters.AbstractSaver
-
Gets instances that should be stored.
- getInstances() - Method in interface weka.core.DistanceFunction
-
returns the instances currently set.
- getInstances() - Method in class weka.core.FilteredDistance
-
returns the instances currently set.
- getInstances() - Method in class weka.core.neighboursearch.NearestNeighbourSearch
-
returns the instances currently set.
- getInstances() - Method in class weka.core.NormalizableDistance
-
returns the instances currently set.
- getInstances() - Method in class weka.core.xml.XMLInstances
-
returns the current instances, either the ones that were set or the ones
that were generated from the XML structure.
- getInstances() - Method in class weka.experiment.PairedTTester
-
Get the value of Instances.
- getInstances() - Method in interface weka.experiment.Tester
-
Get the value of Instances.
- getInstances() - Method in class weka.gui.arffviewer.ArffPanel
-
returns the instances of the panel, if none then NULL
- getInstances() - Method in class weka.gui.arffviewer.ArffSortedTableModel
-
returns the data
- getInstances() - Method in class weka.gui.arffviewer.ArffTableModel
-
returns the data
- getInstances() - Method in class weka.gui.boundaryvisualizer.BoundaryVisualizer
-
Get the training instances
- getInstances() - Method in class weka.gui.explorer.AbstractPlotInstances
-
Returns the training data.
- getInstances() - Method in class weka.gui.explorer.ClassifierPanel
-
Get the current set of instances
- getInstances() - Method in class weka.gui.explorer.DataGeneratorPanel
-
returns the generated instances, null if the process was cancelled.
- getInstances() - Method in class weka.gui.explorer.PreprocessPanel
-
Gets the working set of instances.
- getInstances() - Method in class weka.gui.SetInstancesPanel
-
Gets the set of instances currently held by the panel.
- getInstances() - Method in class weka.gui.treevisualizer.Node
-
This will return the Instances object related to this node.
- getInstances() - Method in class weka.gui.ViewerDialog
-
returns the currently displayed instances
- getInstances() - Method in class weka.gui.visualize.VisualizePanel
-
Get the master plot's instances
- getInstances() - Method in class weka.knowledgeflow.steps.MemoryBasedDataSource
-
Get the data to output from this step
- getInstances1() - Method in class weka.gui.visualize.VisualizePanelEvent
-
- getInstances2() - Method in class weka.gui.visualize.VisualizePanelEvent
-
- getInstancesFromClass(Instances, int, int, double, Instances) - Static method in class weka.estimators.EstimatorUtils
-
Returns a dataset that contains all instances of a certain class value.
- getInstancesFromClass(Instances, int, double) - Static method in class weka.estimators.EstimatorUtils
-
Returns a dataset that contains of all instances of a certain class value.
- getInstancesFromValue(Instances, int, double) - Static method in class weka.estimators.EstimatorUtils
-
Returns a dataset that contains of all instances of a certain value for the
given attribute.
- getInstancesIndices() - Method in class weka.filters.unsupervised.instance.RemoveRange
-
Gets ranges of instances selected.
- getInstancesNoClass() - Method in class weka.associations.Apriori
-
Gets the instances without the class atrribute.
- getInstancesNoClass() - Method in interface weka.associations.CARuleMiner
-
Gets the instances without the class attribute
- getInstancesOnlyClass() - Method in class weka.associations.Apriori
-
Gets only the class attribute of the instances.
- getInstancesOnlyClass() - Method in interface weka.associations.CARuleMiner
-
Gets the class attribute and its values for all instances
- getInstancesValueAt(int, int) - Method in class weka.gui.arffviewer.ArffSortedTableModel
-
returns the double value of the underlying Instances object at the
given position, -1 if out of bounds
- getInstancesValueAt(int, int) - Method in class weka.gui.arffviewer.ArffTableModel
-
returns the double value of the underlying Instances object at the given
position, -1 if out of bounds
- getINTEntries() - Method in class weka.core.pmml.jaxbbindings.INTSparseArray
-
Gets the value of the intEntries property.
- getInteractiveViewers() - Method in class weka.knowledgeflow.steps.AttributeSummarizer
-
Get a map of popup viewers that can be used with this step
- getInteractiveViewers() - Method in class weka.knowledgeflow.steps.BaseStep
-
When running in a graphical execution environment a step can make one or
more popup Viewer components available.
- getInteractiveViewers() - Method in class weka.knowledgeflow.steps.BoundaryPlotter
-
When running in a graphical execution environment a step can make one or
more popup Viewer components available.
- getInteractiveViewers() - Method in class weka.knowledgeflow.steps.CostBenefitAnalysis
-
When running in a graphical execution environment a step can make one or
more popup Viewer components available.
- getInteractiveViewers() - Method in class weka.knowledgeflow.steps.DataVisualizer
-
- getInteractiveViewers() - Method in class weka.knowledgeflow.steps.GraphViewer
-
When running in a graphical execution environment a step can make one or
more popup Viewer components available.
- getInteractiveViewers() - Method in class weka.knowledgeflow.steps.ImageViewer
-
Gets a list of classes of viewers that can be popped up in the GUI
Knowledge Flow from this step, given that we have received and stored some
image data.
- getInteractiveViewers() - Method in class weka.knowledgeflow.steps.ModelPerformanceChart
-
When running in a graphical execution environment a step can make one or
more popup Viewer components available.
- getInteractiveViewers() - Method in class weka.knowledgeflow.steps.ScatterPlotMatrix
-
When running in a graphical execution environment a step can make one or
more popup Viewer components available.
- getInteractiveViewers() - Method in interface weka.knowledgeflow.steps.Step
-
When running in a graphical execution environment a step can make one or
more popup Viewer components available.
- getInteractiveViewers() - Method in class weka.knowledgeflow.steps.StripChart
-
When running in a graphical execution environment a step can make one or
more popup Viewer components available.
- getInteractiveViewers() - Method in class weka.knowledgeflow.steps.TextViewer
-
When running in a graphical execution environment a step can make one or
more popup Viewer components available.
- getInteractiveViewersImpls() - Method in class weka.knowledgeflow.steps.BaseStep
-
An alternative to getStepInteractiveViewers that returns a Map of
instantiated StepInteractiveViewer objects.
- getInteractiveViewersImpls() - Method in interface weka.knowledgeflow.steps.Step
-
An alternative to getStepInteractiveViewers that returns a Map of
instantiated StepInteractiveViewer objects.
- getIntercept() - Method in class weka.classifiers.functions.SimpleLinearRegression
-
Returns the intercept of the function.
- getIntercept() - Method in class weka.classifiers.trees.lmt.SimpleLinearRegression
-
Returns the intercept of the function.
- getIntercept() - Method in class weka.core.pmml.jaxbbindings.RegressionTable
-
Gets the value of the intercept property.
- getInternalCacheSize() - Method in class weka.classifiers.functions.supportVector.StringKernel
-
Gets the size of the internal cache
- getInterpolationMethod() - Method in class weka.core.pmml.jaxbbindings.TimeSeries
-
Gets the value of the interpolationMethod property.
- getInterpreter() - Method in class weka.core.scripting.Jython
-
returns the currently used Python Interpreter
- getInterQuartileRange() - Method in class weka.core.pmml.jaxbbindings.NumericInfo
-
Gets the value of the interQuartileRange property.
- getInterval() - Method in class weka.core.pmml.jaxbbindings.ContStats
-
Gets the value of the interval property.
- getInterval() - Method in class weka.core.pmml.jaxbbindings.DataField
-
Gets the value of the interval property.
- getInterval() - Method in class weka.core.pmml.jaxbbindings.DiscretizeBin
-
Gets the value of the interval property.
- getInterval() - Method in class weka.core.pmml.jaxbbindings.EventValues
-
Gets the value of the interval property.
- getInvalidFreq() - Method in class weka.core.pmml.jaxbbindings.Counts
-
Gets the value of the invalidFreq property.
- getInvalidValueTreatment() - Method in class weka.core.pmml.jaxbbindings.Apply
-
Gets the value of the invalidValueTreatment property.
- getInvalidValueTreatment() - Method in class weka.core.pmml.jaxbbindings.MiningField
-
Gets the value of the invalidValueTreatment property.
- getInvert() - Method in class weka.core.InstanceComparator
-
Returns whether the matching sense of the attribute range is inverted.
- getInvert() - Method in class weka.core.Range
-
Gets whether the range sense is inverted, i.e.
- getInvert() - Method in class weka.filters.unsupervised.instance.RemoveMisclassified
-
Get whether selection is inverted.
- getInvertSelection() - Method in class weka.core.converters.DictionarySaver
-
Gets whether the supplied columns are to be processed or skipped.
- getInvertSelection() - Method in class weka.core.DictionaryBuilder
-
Gets whether the supplied columns are to be processed or skipped.
- getInvertSelection() - Method in interface weka.core.DistanceFunction
-
Gets whether the matching sense of attribute indices is inverted or not.
- getInvertSelection() - Method in class weka.core.FilteredDistance
-
Gets whether the matching sense of attribute indices is inverted or not.
- getInvertSelection() - Method in class weka.core.NormalizableDistance
-
Gets whether the matching sense of attribute indices is inverted or not.
- getInvertSelection() - Method in class weka.filters.supervised.attribute.Discretize
-
Gets whether the supplied columns are to be removed or kept
- getInvertSelection() - Method in class weka.filters.supervised.attribute.MergeNominalValues
-
Get whether the supplied attributes are to be acted on or all other
attributes.
- getInvertSelection() - Method in class weka.filters.supervised.instance.Resample
-
Gets whether selection is inverted (only if instances are drawn WIHTOUT
replacement).
- getInvertSelection() - Method in class weka.filters.supervised.instance.StratifiedRemoveFolds
-
Gets if selection is to be inverted.
- getInvertSelection() - Method in class weka.filters.unsupervised.attribute.AbstractTimeSeries
-
Get whether the supplied columns are to be removed or kept
- getInvertSelection() - Method in class weka.filters.unsupervised.attribute.Copy
-
Get whether the supplied columns are to be removed or kept
- getInvertSelection() - Method in class weka.filters.unsupervised.attribute.DateToNumeric
-
Gets whether the supplied columns are to be worked on or the others.
- getInvertSelection() - Method in class weka.filters.unsupervised.attribute.Discretize
-
Gets whether the supplied columns are to be removed or kept
- getInvertSelection() - Method in class weka.filters.unsupervised.attribute.FixedDictionaryStringToWordVector
-
Gets whether the supplied columns are to be processed or skipped.
- getInvertSelection() - Method in class weka.filters.unsupervised.attribute.MathExpression
-
Get whether the supplied columns are to be select or unselect
- getInvertSelection() - Method in class weka.filters.unsupervised.attribute.MergeInfrequentNominalValues
-
Get whether the supplied attributes are to be acted on or all other
attributes.
- getInvertSelection() - Method in class weka.filters.unsupervised.attribute.NominalToBinary
-
Gets whether the supplied columns are to be removed or kept
- getInvertSelection() - Method in class weka.filters.unsupervised.attribute.NumericCleaner
-
Gets whether the selection of the columns is inverted
- getInvertSelection() - Method in class weka.filters.unsupervised.attribute.NumericToBinary
-
Gets whether the supplied columns are to be worked on or the others.
- getInvertSelection() - Method in class weka.filters.unsupervised.attribute.NumericToDate
-
Gets whether the supplied columns are to be worked on or the others.
- getInvertSelection() - Method in class weka.filters.unsupervised.attribute.NumericToNominal
-
Gets whether the supplied columns are to be worked on or the others.
- getInvertSelection() - Method in class weka.filters.unsupervised.attribute.NumericTransform
-
Get whether the supplied columns are to be transformed or not
- getInvertSelection() - Method in class weka.filters.unsupervised.attribute.RandomSubset
-
Get whether to invert the selection - i.e.
- getInvertSelection() - Method in class weka.filters.unsupervised.attribute.Remove
-
Get whether the supplied columns are to be removed or kept
- getInvertSelection() - Method in class weka.filters.unsupervised.attribute.RemoveByName
-
Get whether the supplied columns are to be removed or kept.
- getInvertSelection() - Method in class weka.filters.unsupervised.attribute.RemoveType
-
Get whether the supplied columns are to be removed or kept
- getInvertSelection() - Method in class weka.filters.unsupervised.attribute.RenameAttribute
-
Gets whether to invert the selection of the attributes.
- getInvertSelection() - Method in class weka.filters.unsupervised.attribute.RenameNominalValues
-
Get whether the supplied columns are to be removed or kept
- getInvertSelection() - Method in class weka.filters.unsupervised.attribute.ReplaceWithMissingValue
-
Gets whether the supplied columns are to be worked on or the others.
- getInvertSelection() - Method in class weka.filters.unsupervised.attribute.SortLabels
-
Gets whether the supplied columns are to be processed or skipped.
- getInvertSelection() - Method in class weka.filters.unsupervised.attribute.StringToWordVector
-
Gets whether the supplied columns are to be processed or skipped.
- getInvertSelection() - Method in class weka.filters.unsupervised.instance.RemoveFolds
-
Gets if selection is to be inverted.
- getInvertSelection() - Method in class weka.filters.unsupervised.instance.RemoveFrequentValues
-
Get whether the supplied columns are to be removed or kept
- getInvertSelection() - Method in class weka.filters.unsupervised.instance.RemovePercentage
-
Gets if selection is to be inverted.
- getInvertSelection() - Method in class weka.filters.unsupervised.instance.RemoveRange
-
Gets if selection is to be inverted.
- getInvertSelection() - Method in class weka.filters.unsupervised.instance.RemoveWithValues
-
Get whether the supplied columns are to be removed or kept
- getInvertSelection() - Method in class weka.filters.unsupervised.instance.Resample
-
Gets whether selection is inverted (only if instances are drawn WIHTOUT
replacement).
- getIRClassValue() - Method in class weka.attributeSelection.ClassifierAttributeEval
-
Get the class value (label or index) to use with IR metric evaluation of
subsets.
- getIRClassValue() - Method in class weka.attributeSelection.ClassifierSubsetEval
-
Get the class value (label or index) to use with IR metric evaluation of
subsets.
- getIRClassValue() - Method in class weka.attributeSelection.WrapperSubsetEval
-
Get the class value (label or index) to use with IR metric evaluation of
subsets.
- getIsCenterField() - Method in class weka.core.pmml.jaxbbindings.ClusteringField
-
Gets the value of the isCenterField property.
- getIsCyclic() - Method in class weka.core.pmml.jaxbbindings.DataField
-
Gets the value of the isCyclic property.
- getIsMultiValued() - Method in class weka.core.pmml.jaxbbindings.OutputField
-
Gets the value of the isMultiValued property.
- getIsRecursive() - Method in class weka.core.pmml.jaxbbindings.ChildParent
-
Gets the value of the isRecursive property.
- getItemRef() - Method in class weka.core.pmml.jaxbbindings.ItemRef
-
Gets the value of the itemRef property.
- getItemRef() - Method in class weka.core.pmml.jaxbbindings.Itemset
-
Gets the value of the itemRef property.
- getItems() - Method in class weka.associations.ItemSet
-
Get the item array
- getItemValueAsString() - Method in class weka.associations.Item
-
Get this item's value as a String.
- getItemValueAsString() - Method in class weka.associations.NominalItem
-
Get this item's value as a String.
- getItemValueAsString() - Method in class weka.associations.NumericItem
-
Get this item's value as a String.
- getIterativeClassifier() - Method in class weka.classifiers.meta.IterativeClassifierOptimizer
-
Get the classifier used as the base learner.
- getJaccard() - Method in class weka.core.pmml.jaxbbindings.ComparisonMeasure
-
Gets the value of the jaccard property.
- getJavaInitializationString() - Method in class weka.gui.beans.EnvironmentField
-
Deprecated.
- getJavaInitializationString() - Method in class weka.gui.ColorEditor
-
Don't really need this
- getJavaInitializationString() - Method in class weka.gui.CostMatrixEditor
-
Returns the Java code that generates an object the same as the one being
edited.
- getJavaInitializationString() - Method in class weka.gui.EnvironmentField
-
- getJavaInitializationString() - Method in class weka.gui.FileEditor
-
Returns a representation of the current property value as java source.
- getJavaInitializationString() - Method in class weka.gui.GenericArrayEditor
-
Supposedly returns an initialization string to create a classifier
identical to the current one, including it's state, but this doesn't appear
possible given that the initialization string isn't supposed to contain
multiple statements.
- getJavaInitializationString() - Method in class weka.gui.GenericObjectEditor
-
Supposedly returns an initialization string to create a Object identical to
the current one, including it's state, but this doesn't appear possible
given that the initialization string isn't supposed to contain multiple
statements.
- getJavaInitializationString() - Method in class weka.gui.PasswordField
-
- getJavaInitializationString() - Method in class weka.gui.RangeEditor
-
Returns a description of the property value as java source.
- getJavaInitializationString() - Method in class weka.gui.SelectedTagEditor
-
Returns a description of the property value as java source.
- getJavaInitializationString() - Method in class weka.gui.SimpleDateFormatEditor
-
Returns the Java code that generates an object the same as the one being edited.
- getJTable() - Method in class weka.gui.JTableHelper
-
returns the JTable
- getKeepDictionarySorted() - Method in class weka.core.converters.DictionarySaver
-
Get whether to keep the dictionary sorted alphabetically or not
- getKernel() - Method in class weka.classifiers.functions.GaussianProcesses
-
Gets the kernel to use.
- getKernel() - Method in class weka.classifiers.functions.SMO.BinarySMO
-
Returns the kernel to use
- getKernel() - Method in class weka.classifiers.functions.SMO
-
Returns the kernel to use
- getKernel() - Method in class weka.classifiers.functions.SMOreg
-
Returns the kernel to use
- getKernel() - Method in class weka.classifiers.functions.supportVector.CheckKernel
-
Get the kernel being tested
- getKernel() - Method in class weka.filters.unsupervised.attribute.KernelFilter
-
Gets the kernel to use.
- getKernelBandwidth() - Method in class weka.gui.boundaryvisualizer.KDDataGenerator
-
Get the kernel bandwidth
- getKernelBandwidth() - Method in class weka.knowledgeflow.steps.BoundaryPlotter
-
Get the kernel bandwidth
- getKernelEvaluations() - Method in class weka.classifiers.functions.supportVector.RegOptimizer
-
returns the number of kernel evaluations
- getKernelFactorExpression() - Method in class weka.filters.unsupervised.attribute.KernelFilter
-
Gets the expression for the kernel.
- getKernelMatrixFile() - Method in class weka.classifiers.functions.supportVector.PrecomputedKernelMatrixKernel
-
Gets the file containing the kernel matrix.
- getKey() - Method in class weka.core.Settings.SettingKey
-
Get the key of this setting
- getKey() - Method in class weka.experiment.ClassifierSplitEvaluator
-
Gets the key describing the current SplitEvaluator.
- getKey() - Method in class weka.experiment.DensityBasedClustererSplitEvaluator
-
Gets the key describing the current SplitEvaluator.
- getKey() - Method in class weka.experiment.RegressionSplitEvaluator
-
Gets the key describing the current SplitEvaluator.
- getKey() - Method in interface weka.experiment.SplitEvaluator
-
Gets the key describing the current SplitEvaluator.
- getKeyFieldName() - Method in class weka.experiment.AveragingResultProducer
-
Get the value of KeyFieldName.
- getKeyNames() - Method in class weka.experiment.AveragingResultProducer
-
Gets the names of each of the columns produced for a single run.
- getKeyNames() - Method in class weka.experiment.ClassifierSplitEvaluator
-
Gets the names of each of the key columns produced for a single run.
- getKeyNames() - Method in class weka.experiment.CrossValidationResultProducer
-
Gets the names of each of the columns produced for a single run.
- getKeyNames() - Method in class weka.experiment.DatabaseResultProducer
-
Gets the names of each of the columns produced for a single run.
- getKeyNames() - Method in class weka.experiment.DensityBasedClustererSplitEvaluator
-
Gets the names of each of the key columns produced for a single run.
- getKeyNames() - Method in class weka.experiment.ExplicitTestsetResultProducer
-
Gets the names of each of the columns produced for a single run.
- getKeyNames() - Method in class weka.experiment.LearningRateResultProducer
-
Gets the names of each of the columns produced for a single run.
- getKeyNames() - Method in class weka.experiment.RandomSplitResultProducer
-
Gets the names of each of the columns produced for a single run.
- getKeyNames() - Method in class weka.experiment.RegressionSplitEvaluator
-
Gets the names of each of the key columns produced for a single run.
- getKeyNames() - Method in interface weka.experiment.ResultProducer
-
Gets the names of each of the key columns produced for a single run.
- getKeyNames() - Method in interface weka.experiment.SplitEvaluator
-
Gets the names of each of the key columns produced for a single run.
- getKeys() - Method in class weka.core.converters.DatabaseLoader
-
Gets the key columns' name
- getKeySpec() - Method in class weka.gui.beans.Join
-
Get the key specification (in internal format -
k11,k12,...,k1nKEY_SPEC_SEPARATORk21,k22,...,k2n)
- getKeySpec() - Method in class weka.knowledgeflow.steps.Join
-
Get the key specification (in internal format -
k11,k12,...,k1nKEY_SPEC_SEPARATORk21,k22,...,k2n)
- getKeyTypes() - Method in class weka.experiment.AveragingResultProducer
-
Gets the data types of each of the columns produced for a single run.
- getKeyTypes() - Method in class weka.experiment.ClassifierSplitEvaluator
-
Gets the data types of each of the key columns produced for a single run.
- getKeyTypes() - Method in class weka.experiment.CrossValidationResultProducer
-
Gets the data types of each of the columns produced for a single run.
- getKeyTypes() - Method in class weka.experiment.DatabaseResultProducer
-
Gets the data types of each of the columns produced for a single run.
- getKeyTypes() - Method in class weka.experiment.DensityBasedClustererSplitEvaluator
-
Gets the data types of each of the key columns produced for a single run.
- getKeyTypes() - Method in class weka.experiment.ExplicitTestsetResultProducer
-
Gets the data types of each of the columns produced for a single run.
- getKeyTypes() - Method in class weka.experiment.LearningRateResultProducer
-
Gets the data types of each of the columns produced for a single run.
- getKeyTypes() - Method in class weka.experiment.RandomSplitResultProducer
-
Gets the data types of each of the columns produced for a single run.
- getKeyTypes() - Method in class weka.experiment.RegressionSplitEvaluator
-
Gets the data types of each of the key columns produced for a single run.
- getKeyTypes() - Method in interface weka.experiment.ResultProducer
-
Gets the data types of each of the key columns produced for a single run.
- getKeyTypes() - Method in interface weka.experiment.SplitEvaluator
-
Gets the data types of each of the key columns produced for a single run.
- getKeywordFormatting(String) - Method in class weka.gui.scripting.SyntaxDocument
-
Gets the formatting for a keyword.
- getKeywords() - Method in class weka.experiment.DatabaseUtils
-
Returns the currently stored keywords (as comma-separated list).
- getKeywordsMaskChar() - Method in class weka.experiment.DatabaseUtils
-
Returns the currently set mask character.
- getKind() - Method in class weka.core.pmml.jaxbbindings.ComparisonMeasure
-
Gets the value of the kind property.
- getKind() - Method in class weka.core.pmml.jaxbbindings.Matrix
-
Gets the value of the kind property.
- getKNN() - Method in class weka.classifiers.lazy.IBk
-
Gets the number of neighbours the learner will use.
- getKNN() - Method in class weka.classifiers.lazy.LWL
-
Gets the number of neighbours used for kernel bandwidth setting.
- getKNNInput() - Method in class weka.core.pmml.jaxbbindings.KNNInputs
-
Gets the value of the knnInput property.
- getKohonenMap() - Method in class weka.core.pmml.jaxbbindings.Cluster
-
Gets the value of the kohonenMap property.
- getKValue() - Method in class weka.classifiers.trees.RandomTree
-
Get the value of K.
- getKWBias() - Method in class weka.classifiers.BVDecomposeSegCVSub
-
Get the calculated bias squared according to the Kohavi and Wolpert definition
- getKWSigma() - Method in class weka.classifiers.BVDecomposeSegCVSub
-
Get the calculated sigma according to the Kohavi and Wolpert definition
- getKWVariance() - Method in class weka.classifiers.BVDecomposeSegCVSub
-
Get the calculated variance according to the Kohavi and Wolpert definition
- getL() - Method in class weka.core.matrix.CholeskyDecomposition
-
Return triangular factor.
- getL() - Method in class weka.core.Matrix
-
Deprecated.
Returns the L part of the matrix.
- getL() - Method in class weka.core.matrix.LUDecomposition
-
Return lower triangular factor
- getLabel() - Method in class weka.core.pmml.jaxbbindings.BaselineStratum
-
Gets the value of the label property.
- getLabel() - Method in class weka.core.pmml.jaxbbindings.Parameter
-
Gets the value of the label property.
- getLabel() - Method in class weka.filters.unsupervised.attribute.MergeManyValues
-
Get the label for the new merged class.
- getLabel() - Method in class weka.gui.beans.BatchClassifierEvent
-
Get the label for this event
- getLabel() - Method in class weka.gui.beans.SubstringLabelerRules.SubstringLabelerMatchRule
-
Get the label to assign if this rule matches, or empty string if binary
flag attribute is being created.
- getLabel() - Method in class weka.gui.treevisualizer.Edge
-
Get the value of label.
- getLabel() - Method in class weka.gui.treevisualizer.Node
-
Get the value of label.
- getLabels() - Method in class weka.filters.unsupervised.attribute.AddValues
-
Get the comma-separated list of labels that are added.
- getLambda() - Method in class weka.classifiers.functions.SGD
-
Get the current value of lambda
- getLambda() - Method in class weka.classifiers.functions.SGDText
-
Get the current value of lambda
- getLambda() - Method in class weka.classifiers.functions.supportVector.StringKernel
-
Gets the lambda constant used in the string kernel
- getLatestCompatibleVersion(String) - Static method in class weka.core.WekaPackageManager
-
Get the latest version of the named package that is compatible with the
base version of Weka being used.
- getLaunchCommand() - Method in interface weka.gui.explorer.ClassifierPanelLaunchHandlerPlugin
-
Get the name of the launch command (to appear as
the button text or in the popup menu)
- getLaunchCommand() - Method in interface weka.gui.explorer.ClustererPanelLaunchHandlerPlugin
-
Get the name of the launch command (to appear as
the button text or in the popup menu)
- getLaunchStartPointsSequentially() - Method in class weka.knowledgeflow.FlowRunner
-
Get whether to launch start points sequentially
- getLayoutAt(int) - Method in class weka.gui.knowledgeflow.MainKFPerspective
-
Get the flow layout at the supplied index
- getLeafPredictionStrategy() - Method in class weka.classifiers.trees.HoeffdingTree
-
Get the leaf prediction strategy to use (majority class, naive Bayes or
naive Bayes adaptive)
- getLearningRate() - Method in class weka.classifiers.functions.MultilayerPerceptron
-
- getLearningRate() - Method in class weka.classifiers.functions.SGD
-
Get the learning rate.
- getLearningRate() - Method in class weka.classifiers.functions.SGDText
-
Get the learning rate.
- getLeaveOneAttributeOut() - Method in class weka.attributeSelection.ClassifierAttributeEval
-
Get whether to evaluate the merit of an attribute based on the impact of
leaving it out from the full set instead of considering its worth in
isolation
- getLeftMargin() - Method in class weka.core.pmml.jaxbbindings.Interval
-
Gets the value of the leftMargin property.
- getLegendText() - Method in class weka.gui.beans.ChartEvent
-
Get the legend text vector
- getLength() - Method in class weka.core.pmml.jaxbbindings.TextDocument
-
Gets the value of the length property.
- getLength() - Method in class weka.core.pmml.jaxbbindings.TimeCycle
-
Gets the value of the length property.
- getLengthLimit() - Method in class weka.core.pmml.jaxbbindings.AssociationModel
-
Gets the value of the lengthLimit property.
- getLevel() - Method in class weka.core.pmml.jaxbbindings.ExponentialSmoothing
-
Gets the value of the level property.
- getLevel() - Method in class weka.gui.HierarchyPropertyParser
-
Get the level of current node.
- getLeverage() - Method in class weka.core.pmml.jaxbbindings.AssociationRule
-
Gets the value of the leverage property.
- getLHSAttName() - Method in class weka.knowledgeflow.steps.FlowByExpression.ExpressionClause
-
Get the lhs attribute name
- getLift() - Method in class weka.core.pmml.jaxbbindings.AssociationRule
-
Gets the value of the lift property.
- getLift() - Method in class weka.core.pmml.jaxbbindings.SequenceRule
-
Gets the value of the lift property.
- getLiftData() - Method in class weka.core.pmml.jaxbbindings.PredictiveModelQuality
-
Gets the value of the liftData property.
- getLiftGraph() - Method in class weka.core.pmml.jaxbbindings.ModelLiftGraph
-
Gets the value of the liftGraph property.
- getLiftGraph() - Method in class weka.core.pmml.jaxbbindings.OptimumLiftGraph
-
Gets the value of the liftGraph property.
- getLiftGraph() - Method in class weka.core.pmml.jaxbbindings.RandomLiftGraph
-
Gets the value of the liftGraph property.
- getLikelihoodThreshold() - Method in class weka.classifiers.meta.LogitBoost
-
Get the value of Precision.
- getLine(int) - Method in class weka.gui.treevisualizer.Edge
-
Returns line number n
- getLine(int) - Method in class weka.gui.treevisualizer.Node
-
Returns the text String for the specfied line.
- getLinearNorm() - Method in class weka.core.pmml.jaxbbindings.NormContinuous
-
Gets the value of the linearNorm property.
- getLineNo() - Method in class weka.core.converters.ArffLoader.ArffReader
-
returns the current line number
- getLinkAt(int) - Method in class weka.attributeSelection.BestFirst.LinkedList2
-
returns the element (Link) at a specific index from the list.
- getLinkFunction() - Method in class weka.core.pmml.jaxbbindings.GeneralRegressionModel
-
Gets the value of the linkFunction property.
- getLinkParameter() - Method in class weka.core.pmml.jaxbbindings.GeneralRegressionModel
-
Gets the value of the linkParameter property.
- getLinkType() - Method in class weka.clusterers.HierarchicalClusterer
-
- getList() - Method in class weka.gui.ResultHistoryPanel
-
Gets the JList used by the results list
- getListCellRendererComponent(JList, Object, int, boolean, boolean) - Method in class weka.gui.CheckBoxList.CheckBoxListRenderer
-
Return a component that has been configured to display the specified
value.
- getListCellRendererComponent(JList, Object, int, boolean, boolean) - Method in class weka.gui.experiment.AlgorithmListPanel.ObjectCellRenderer
-
Return a component that has been configured to display the specified
value.
- getListCellRendererComponent(JList, Object, int, boolean, boolean) - Method in class weka.gui.sql.InfoPanelCellRenderer
-
Return a component that has been configured to display the specified value.
- getLNorm() - Method in class weka.classifiers.bayes.NaiveBayesMultinomialText
-
Get the L Norm used.
- getLNorm() - Method in class weka.classifiers.functions.SGDText
-
Get the L Norm used.
- getLoadClassifierFileName() - Method in class weka.gui.beans.Classifier
-
Get the name of the classifier to load at execution time.
- getLoadClassifierFileName() - Method in class weka.knowledgeflow.steps.Classifier
-
Get the name of the classifier to load at execution time.
- getLoadClustererFileName() - Method in class weka.knowledgeflow.steps.Clusterer
-
Get the name of the clusterer to load at execution time.
- getLoadedPerspectives() - Method in class weka.gui.PerspectiveManager
-
Get a list of all loaded perspectives.
- getLoader() - Method in class weka.core.converters.ConverterUtils.DataSource
-
returns the determined loader, null if the DataSource was initialized
with data alone and not a file/URL.
- getLoader() - Method in class weka.gui.beans.Loader
-
Get the loader
- getLoader() - Method in class weka.gui.ConverterFileChooser
-
returns the loader that was chosen by the user, can be null in case the
user aborted the dialog or the save dialog was shown.
- getLoader() - Method in class weka.gui.SetInstancesPanel
-
Gets the currently used Loader.
- getLoader() - Method in class weka.knowledgeflow.steps.Loader
-
Convenience method - calls getWrappedAlgorithm()
- getLoaderForClass(String) - Method in class weka.core.WekaPackageClassLoaderManager
-
Attempts to locate a classloader for the named class.
- getLoaderForExtension(String) - Static method in class weka.core.converters.ConverterUtils
-
tries to determine the loader to use for this kind of extension, returns
null if none can be found.
- getLoaderForFile(String) - Static method in class weka.core.converters.ConverterUtils
-
tries to determine the loader to use for this kind of file, returns null if
none can be found.
- getLoaderForFile(File) - Static method in class weka.core.converters.ConverterUtils
-
tries to determine the loader to use for this kind of file, returns null if
none can be found.
- getLoadersForExtension(String) - Static method in class weka.core.converters.ConverterUtils
-
tries to determine the loader to use for this kind of extension, returns
null if none can be found.
- getLoadersForFile(String) - Static method in class weka.core.converters.ConverterUtils
-
tries to determine the loaders to use for this kind of file.
- getLoadersForFile(File) - Static method in class weka.core.converters.ConverterUtils
-
tries to determine the loaders to use for this kind of file.
- getLocallyPredictive() - Method in class weka.attributeSelection.CfsSubsetEval
-
Return true if including locally predictive attributes
- getLocalModel() - Method in class weka.classifiers.trees.j48.ClassifierTree
-
- getLocalTermWeights() - Method in class weka.core.pmml.jaxbbindings.TextModelNormalization
-
Gets the value of the localTermWeights property.
- getLocalTransformations() - Method in class weka.core.pmml.jaxbbindings.DecisionTree
-
Gets the value of the localTransformations property.
- getLocalTransformations() - Method in class weka.core.pmml.jaxbbindings.Regression
-
Gets the value of the localTransformations property.
- getLocator(int) - Method in class weka.core.AttributeLocator
-
Returns the AttributeLocator at the given index.
- getLocatorIndices() - Method in class weka.core.AttributeLocator
-
Returns the indices of the AttributeLocator objects.
- getLog() - Method in class weka.classifiers.pmml.consumer.PMMLClassifier
-
Get the logger.
- getLog() - Method in class weka.core.Debug.Random
-
the currently used log, if null then stdout is used for outputting
the debugging information
- getLog() - Method in interface weka.core.LogHandler
-
Get the log in use
- getLog() - Method in interface weka.core.pmml.PMMLModel
-
Get the logger.
- getLog() - Method in class weka.gui.explorer.ClassifierPanel
-
Get the log
- getLog() - Method in class weka.knowledgeflow.BaseExecutionEnvironment
-
Get the log in use
- getLog() - Method in interface weka.knowledgeflow.ExecutionEnvironment
-
Get the log in use
- getLog() - Method in class weka.knowledgeflow.LogManager
-
Get the wrapped log
- getLog() - Method in interface weka.knowledgeflow.StepManager
-
Get the log
- getLog() - Method in class weka.knowledgeflow.StepManagerImpl
-
Get the log to use
- getLogger() - Method in interface weka.knowledgeflow.FlowExecutor
-
Get the log in use
- getLogger() - Method in class weka.knowledgeflow.FlowRunner
-
Get the log to use
- getLoggingLevel() - Method in class weka.knowledgeflow.BaseExecutionEnvironment
-
Get the logging level in use
- getLoggingLevel() - Method in interface weka.knowledgeflow.ExecutionEnvironment
-
Get the logging level in use
- getLoggingLevel() - Method in interface weka.knowledgeflow.FlowExecutor
-
Get the logging level to log at
- getLoggingLevel() - Method in class weka.knowledgeflow.FlowRunner
-
Get the logging level to use
- getLoggingLevel() - Method in class weka.knowledgeflow.LogManager
-
Get the logging level in use
- getLoggingLevel() - Method in interface weka.knowledgeflow.StepManager
-
Get the currently set logging level
- getLoggingLevel() - Method in class weka.knowledgeflow.StepManagerImpl
-
Get the logging level in use
- getLoggingLevel() - Method in class weka.knowledgeflow.steps.WriteWekaLog
-
Get the logging level to use
- getLogLikelihood() - Method in class weka.clusterers.ClusterEvaluation
-
Return the log likelihood corresponding to the most recent set of instances
clustered.
- getLogLossDecoding() - Method in class weka.classifiers.meta.MultiClassClassifier
-
Whether log loss decoding is used for random or exhaustive codes.
- getLogPanel(int) - Method in class weka.gui.beans.KnowledgeFlowApp.MainKFPerspective
-
- getLogPanel() - Method in class weka.gui.knowledgeflow.VisibleLayout
-
Get the log panel in use by this layout
- getLookAheadIterations() - Method in class weka.classifiers.meta.IterativeClassifierOptimizer
-
Get the value of LookAheadIterations.
- getLookupCacheSize() - Method in class weka.attributeSelection.BestFirst
-
Return the maximum size of the evaluated subset cache (expressed as a
multiplier for the number of attributes in a data set.
- getLossFunction() - Method in class weka.classifiers.functions.SGD
-
Get the current loss function.
- getLossFunction() - Method in class weka.classifiers.functions.SGDText
-
Get the current loss function.
- getLower() - Method in class weka.core.pmml.jaxbbindings.UniformDistribution
-
Gets the value of the lower property.
- getLower() - Method in class weka.gui.experiment.RunNumberPanel
-
Gets the current lower run number.
- getLowerBound() - Method in class weka.core.packageManagement.VersionRangePackageConstraint
-
Get the lower bound of this range
- getLowerBoundMinSupport() - Method in class weka.associations.Apriori
-
Get the value of lowerBoundMinSupport.
- getLowerBoundMinSupport() - Method in class weka.associations.FPGrowth
-
Get the value of lowerBoundMinSupport.
- getLowercaseTokens() - Method in class weka.classifiers.bayes.NaiveBayesMultinomialText
-
Get whether to convert all tokens to lowercase
- getLowercaseTokens() - Method in class weka.classifiers.functions.SGDText
-
Get whether to convert all tokens to lowercase
- getLowerCaseTokens() - Method in class weka.core.converters.DictionarySaver
-
Gets whether if the tokens are to be downcased or not.
- getLowerCaseTokens() - Method in class weka.core.DictionaryBuilder
-
Gets whether if the tokens are to be downcased or not.
- getLowerCaseTokens() - Method in class weka.filters.unsupervised.attribute.FixedDictionaryStringToWordVector
-
Gets whether if the tokens are to be downcased or not.
- getLowerCaseTokens() - Method in class weka.filters.unsupervised.attribute.StringToWordVector
-
Gets whether if the tokens are to be downcased or not.
- getLowerComparison() - Method in class weka.core.packageManagement.VersionRangePackageConstraint
-
Get the lower comparison
- getLowerNumericBound() - Method in class weka.core.Attribute
-
Returns the lower bound of a numeric attribute.
- getLowerSize() - Method in class weka.experiment.LearningRateResultProducer
-
Get the value of LowerSize.
- getLowValue() - Method in class weka.core.pmml.jaxbbindings.MiningField
-
Gets the value of the lowValue property.
- getM5RootNode() - Method in class weka.classifiers.trees.m5.M5Base
-
- getM5RootNode() - Method in class weka.classifiers.trees.m5.Rule
-
- getMacro(String) - Method in class weka.core.expressionlanguage.common.IfElseMacro
-
Tries to fetch the macro
- getMacro(String) - Method in class weka.core.expressionlanguage.common.JavaMacro
-
- getMacro(String) - Method in class weka.core.expressionlanguage.common.MacroDeclarationsCompositor
-
Tries to fetch a macro from one of the combined declarations.
- getMacro(String) - Method in class weka.core.expressionlanguage.common.MathFunctions
-
Tries to fetch the macro
- getMacro(String) - Method in class weka.core.expressionlanguage.common.NoMacros
-
Tries to fetch a macro.
- getMacro(String) - Method in interface weka.core.expressionlanguage.core.MacroDeclarations
-
Tries to fetch the macro
- getMacro(String) - Method in class weka.core.expressionlanguage.weka.InstancesHelper
-
Tries to fetch a macro
- getMainApplication() - Method in class weka.gui.AbstractPerspective
-
Get the main application that this perspective belongs to
- getMainApplication() - Method in interface weka.gui.Perspective
-
Get the main application that this perspective belongs to
- getMainApplication() - Method in class weka.gui.SimpleCLIPanel
-
- getMainKFPerspective() - Method in class weka.gui.knowledgeflow.BaseInteractiveViewer
-
Get the main knowledge flow perspective.
- getMainKFPerspective() - Method in interface weka.gui.knowledgeflow.StepInteractiveViewer
-
Get the main knowledge flow perspective.
- getMainPanel() - Method in class weka.gui.arffviewer.ArffViewer
-
returns the main panel
- getMainPerspective() - Method in class weka.gui.beans.KnowledgeFlowApp
-
Gets the main knowledge flow perspective
- getMainPerspective() - Method in interface weka.gui.GUIApplication
-
Get the main Perspective
of this application - i.e.
- getMainPerspective() - Method in class weka.gui.knowledgeflow.KnowledgeFlowApp
-
Get the main perspective of this application
- getMainPerspective() - Method in class weka.gui.PerspectiveManager
-
Get the main application perspective.
- getMainPerspective() - Method in class weka.gui.WorkbenchApp
-
Get the main perspective of this application.
- getMainToolBar() - Method in class weka.gui.knowledgeflow.MainKFPerspective
-
Get the main toolbar
- getMakeBinary() - Method in class weka.filters.supervised.attribute.Discretize
-
Gets whether binary attributes should be made for discretized ones.
- getMakeBinary() - Method in class weka.filters.unsupervised.attribute.Discretize
-
Gets whether binary attributes should be made for discretized ones.
- getMakeResourceIntensive() - Method in class weka.knowledgeflow.steps.MakeResourceIntensive
-
Get whether downstream steps are to be made resource intensive
- getManagedStep() - Method in interface weka.knowledgeflow.StepManager
-
Get the actual step managed by this step manager
- getManagedStep() - Method in class weka.knowledgeflow.StepManagerImpl
-
Get the step managed by this manager
- getMapMissingTo() - Method in class weka.core.pmml.jaxbbindings.Apply
-
Gets the value of the mapMissingTo property.
- getMapMissingTo() - Method in class weka.core.pmml.jaxbbindings.Discretize
-
Gets the value of the mapMissingTo property.
- getMapMissingTo() - Method in class weka.core.pmml.jaxbbindings.FieldRef
-
Gets the value of the mapMissingTo property.
- getMapMissingTo() - Method in class weka.core.pmml.jaxbbindings.MapValues
-
Gets the value of the mapMissingTo property.
- getMapMissingTo() - Method in class weka.core.pmml.jaxbbindings.NormContinuous
-
Gets the value of the mapMissingTo property.
- getMapMissingTo() - Method in class weka.core.pmml.jaxbbindings.NormDiscrete
-
Gets the value of the mapMissingTo property.
- getMappedClassIndex() - Method in class weka.classifiers.misc.InputMappedClassifier
-
- getMappedValue() - Method in class weka.core.pmml.jaxbbindings.Item
-
Gets the value of the mappedValue property.
- getMapValues() - Method in class weka.core.pmml.jaxbbindings.DefineFunction
-
Gets the value of the mapValues property.
- getMapValues() - Method in class weka.core.pmml.jaxbbindings.DerivedField
-
Gets the value of the mapValues property.
- getMapValues() - Method in class weka.core.pmml.jaxbbindings.OutputField
-
Gets the value of the mapValues property.
- getMargin(int) - Method in class weka.classifiers.bayes.net.EditableBayesNet
-
return marginal distibution for a node
- getMargin(int) - Method in class weka.classifiers.bayes.net.MarginCalculator
-
- getMarkovBlanketClassifier() - Method in class weka.classifiers.bayes.net.search.global.GlobalScoreSearchAlgorithm
-
- getMarkovBlanketClassifier() - Method in class weka.classifiers.bayes.net.search.local.LocalScoreSearchAlgorithm
-
- getMasterPlot() - Method in class weka.gui.CostBenefitAnalysisPanel
-
Get the master threshold plot data
- getMasterPlot() - Method in class weka.gui.visualize.Plot2D
-
Get the master plot
- getMatCell() - Method in class weka.core.pmml.jaxbbindings.Matrix
-
Gets the value of the matCell property.
- getMatch() - Method in class weka.gui.beans.SubstringLabelerRules.SubstringLabelerMatchRule
-
Get the string/regex to use for matching
- getMatch() - Method in class weka.gui.beans.SubstringReplacerRules.SubstringReplacerMatchRule
-
Get the string/regex to use for matching
- getMatchAttributeName() - Method in class weka.gui.beans.SubstringLabeler
-
- getMatchAttributeName() - Method in class weka.knowledgeflow.steps.SubstringLabeler
-
Get the name of the new attribute that is created to indicate the match
- getMatchDetails() - Method in class weka.gui.beans.SubstringLabeler
-
Get the internally encoded list of match rules
- getMatchDetails() - Method in class weka.knowledgeflow.steps.SubstringLabeler
-
Get the internally encoded list of match rules
- getMatches() - Method in class weka.core.FindWithCapabilities
-
returns the matches from the last find call.
- getMatches(String) - Method in class weka.gui.SimpleCLIPanel.CommandlineCompletion
-
returns all the matches with the partial search string, files or classes.
- getMatchMissingValues() - Method in class weka.filters.unsupervised.instance.RemoveWithValues
-
Gets whether missing values are counted as a match.
- getMatchReplaceDetails() - Method in class weka.gui.beans.SubstringReplacer
-
Get the internally encoded list of match-replace rules
- getMatchReplaceDetails() - Method in class weka.knowledgeflow.steps.SubstringReplacer
-
Get the internally encoded list of match-replace rules
- getMatrix(int, int, int, int) - Method in class weka.core.matrix.Matrix
-
Get a submatrix.
- getMatrix(int[], int[]) - Method in class weka.core.matrix.Matrix
-
Get a submatrix.
- getMatrix(int, int, int[]) - Method in class weka.core.matrix.Matrix
-
Get a submatrix.
- getMatrix(int[], int, int) - Method in class weka.core.matrix.Matrix
-
Get a submatrix.
- getMatrix() - Method in class weka.core.pmml.jaxbbindings.Comparisons
-
Gets the value of the matrix property.
- getMatrix() - Method in class weka.core.pmml.jaxbbindings.ConfusionMatrix
-
Gets the value of the matrix property.
- getMatrix() - Method in class weka.core.pmml.jaxbbindings.CorrelationMethods
-
Gets the value of the matrix property.
- getMatrix() - Method in class weka.core.pmml.jaxbbindings.CorrelationValues
-
Gets the value of the matrix property.
- getMatrix() - Method in class weka.core.pmml.jaxbbindings.Covariances
-
Gets the value of the matrix property.
- getMatrix() - Method in class weka.core.pmml.jaxbbindings.DocumentTermMatrix
-
Gets the value of the matrix property.
- getMatrix() - Method in class weka.core.pmml.jaxbbindings.Predictor
-
Gets the value of the matrix property.
- getMax() - Method in class weka.core.Memory
-
returns the maximum size of the JVM heap, obtains a fresh MemoryUsage
object to do so.
- getMax() - Method in class weka.core.pmml.jaxbbindings.Target
-
Gets the value of the max property.
- getMax() - Method in class weka.core.pmml.jaxbbindings.Time
-
Gets the value of the max property.
- getMax() - Method in class weka.gui.beans.ChartEvent
-
Get the max y value
- getMaxArray() - Method in class weka.filters.unsupervised.attribute.Normalize
-
Returns the calculated maximum values for the attributes in the data.
- getMaxBoostingIterations() - Method in class weka.classifiers.functions.SimpleLogistic
-
Get the value of maxBoostingIterations.
- getMaxC() - Method in class weka.gui.visualize.Plot2D
-
Return the current max value of the colouring attribute
- getMaxCardinality() - Method in class weka.classifiers.bayes.net.search.ci.ICSSearchAlgorithm
-
returns the max cardinality
- getMaxCoordsPerPoint() - Method in class weka.core.neighboursearch.PerformanceStats
-
Returns the maximum of coords per point.
- getMaxCost(int) - Method in class weka.classifiers.CostMatrix
-
Gets the maximum cost for a particular class value.
- getMaxCost(int, Instance) - Method in class weka.classifiers.CostMatrix
-
Gets the maximum cost for a particular class value.
- getMaxCount() - Method in class weka.filters.supervised.instance.SpreadSubsample
-
Gets the value for the max count
- getMaxDecimalPlaces() - Method in class weka.core.converters.ArffSaver
-
Get the maximum number of decimal places to print
- getMaxDecimalPlaces() - Method in class weka.core.converters.CSVSaver
-
Get the maximum number of decimal places to print
- getMaxDefault() - Method in class weka.filters.unsupervised.attribute.NumericCleaner
-
Get the maximum default.
- getMaxDepth() - Method in class weka.classifiers.trees.RandomForest
-
Get the maximum depth of trh tree, 0 for unlimited.
- getMaxDepth() - Method in class weka.classifiers.trees.RandomTree
-
Get the maximum depth of trh tree, 0 for unlimited.
- getMaxDepth() - Method in class weka.classifiers.trees.REPTree
-
Get the value of MaxDepth.
- getMaxDepth() - Method in class weka.core.neighboursearch.balltrees.BallTreeConstructor
-
Returns the depth of the built tree.
- getMaximum() - Method in class weka.core.pmml.jaxbbindings.ComparisonMeasure
-
Gets the value of the maximum property.
- getMaximum() - Method in class weka.core.pmml.jaxbbindings.NumericInfo
-
Gets the value of the maximum property.
- getMaximumAntConsSeparationTime() - Method in class weka.core.pmml.jaxbbindings.Constraints
-
Gets the value of the maximumAntConsSeparationTime property.
- getMaximumAttributeNames() - Method in class weka.attributeSelection.PrincipalComponents
-
Gets maximum number of attributes to include in transformed attribute
names.
- getMaximumAttributeNames() - Method in class weka.filters.unsupervised.attribute.PrincipalComponents
-
Gets maximum number of attributes to include in transformed attribute
names.
- getMaximumAttributes() - Method in class weka.filters.unsupervised.attribute.PrincipalComponents
-
Gets maximum number of PC attributes to retain.
- getMaximumItemsetSeparationTime() - Method in class weka.core.pmml.jaxbbindings.Constraints
-
Gets the value of the maximumItemsetSeparationTime property.
- getMaximumNumberOfAntecedentItems() - Method in class weka.core.pmml.jaxbbindings.Constraints
-
Gets the value of the maximumNumberOfAntecedentItems property.
- getMaximumNumberOfClusters() - Method in class weka.clusterers.EM
-
Get the maximum number of clusters to consider when cross-validating
- getMaximumNumberOfConsequentItems() - Method in class weka.core.pmml.jaxbbindings.Constraints
-
Gets the value of the maximumNumberOfConsequentItems property.
- getMaximumNumberOfItems() - Method in class weka.core.pmml.jaxbbindings.Constraints
-
Gets the value of the maximumNumberOfItems property.
- getMaximumTotalSequenceTime() - Method in class weka.core.pmml.jaxbbindings.Constraints
-
Gets the value of the maximumTotalSequenceTime property.
- getMaximumVariancePercentageAllowed() - Method in class weka.filters.unsupervised.attribute.RemoveUseless
-
Gets the maximum variance attributes are allowed to have before they are
deleted by the filter.
- getMaxInfoGain() - Method in class weka.classifiers.rules.JRip.Antd
-
- getMaxInstancesInLeaf() - Method in class weka.core.neighboursearch.balltrees.BallTreeConstructor
-
Returns the maximum number of instances allowed in a leaf.
- getMaxInstInLeaf() - Method in class weka.core.neighboursearch.KDTree
-
Get the maximum number of instances in a leaf.
- getMaxInstNum() - Method in class weka.datagenerators.clusterers.BIRCHCluster
-
Gets the upper boundary for instances per cluster.
- getMaxInstNum() - Method in class weka.datagenerators.clusterers.SubspaceClusterDefinition
-
Gets the upper boundary for instances per cluster.
- getMaxIntNodesVisited() - Method in class weka.core.neighboursearch.TreePerformanceStats
-
returns the maximum of internal nodes visited.
- getMaxIterations() - Method in class weka.classifiers.trees.lmt.LogisticBase
-
Returns the maxIterations parameter.
- getMaxIterations() - Method in class weka.clusterers.EM
-
Get the maximum number of iterations
- getMaxIterations() - Method in class weka.clusterers.SimpleKMeans
-
gets the number of maximum iterations to be executed.
- getMaxIterations() - Method in class weka.filters.unsupervised.instance.RemoveMisclassified
-
Gets the maximum number of cleansing iterations performed
- getMaxIts() - Method in class weka.classifiers.functions.Logistic
-
Get the value of MaxIts.
- getMaxK() - Method in class weka.classifiers.functions.VotedPerceptron
-
Get the value of maxK.
- getMaxLeavesVisited() - Method in class weka.core.neighboursearch.TreePerformanceStats
-
Returns the maximum number of leaves visited.
- getMaxNrOfParents() - Method in class weka.classifiers.bayes.net.search.global.HillClimber
-
Gets the max number of parents.
- getMaxNrOfParents() - Method in class weka.classifiers.bayes.net.search.global.K2
-
Gets the max number of parents.
- getMaxNrOfParents() - Method in class weka.classifiers.bayes.net.search.local.HillClimber
-
Gets the max number of parents.
- getMaxNrOfParents() - Method in class weka.classifiers.bayes.net.search.local.K2
-
Gets the max number of parents.
- getMaxNrOfParents() - Method in class weka.classifiers.bayes.net.search.local.LAGDHillClimber
-
Gets the max number of parents.
- getMaxNumberOfItems() - Method in class weka.associations.FPGrowth
-
Gets the maximum number of items to be included in large item sets.
- getMaxNumberOfItemsPerTA() - Method in class weka.core.pmml.jaxbbindings.AssociationModel
-
Gets the value of the maxNumberOfItemsPerTA property.
- getMaxNumberOfItemsPerTransaction() - Method in class weka.core.pmml.jaxbbindings.SequenceModel
-
Gets the value of the maxNumberOfItemsPerTransaction property.
- getMaxNumberOfTAsPerTAGroup() - Method in class weka.core.pmml.jaxbbindings.SequenceModel
-
Gets the value of the maxNumberOfTAsPerTAGroup property.
- getMaxNumCandidateCanopiesToHoldInMemory() - Method in class weka.clusterers.Canopy
-
Get the maximum number of candidate canopies to retain in memory during
training.
- getMaxNumComponents() - Method in class weka.estimators.UnivariateMixtureEstimator
-
Returns the number of components to use.
- getMaxPlots() - Method in class weka.gui.beans.AttributeSummarizer
-
Get the number of plots to display
- getMaxPointsVisited() - Method in class weka.core.neighboursearch.PerformanceStats
-
Returns the maximum of points visited.
- getMaxRadius() - Method in class weka.datagenerators.clusterers.BIRCHCluster
-
Gets the upper boundary for the radiuses of the clusters.
- getMaxRange() - Method in class weka.datagenerators.classifiers.regression.MexicanHat
-
Gets the upper boundary for the range of x
- getMaxRelativeLeafRadius() - Method in class weka.core.neighboursearch.balltrees.BallTreeConstructor
-
Returns the maximum relative radius of a leaf node.
- getMaxRows() - Method in class weka.gui.sql.event.QueryExecuteEvent
-
returns the maximum number of rows to retrieve.
- getMaxRows() - Method in class weka.gui.sql.QueryPanel
-
returns the current value for the maximum number of rows.
- getMaxRows() - Method in class weka.gui.sql.ResultSetHelper
-
the maximum number of rows to retrieve, less than 1 means unlimited.
- getMaxRuleSize() - Method in class weka.datagenerators.classifiers.classification.RDG1
-
Gets the maximum number of tests in rules.
- getMaxRunNumber() - Method in class weka.gui.beans.BatchClassifierEvent
-
Get the maximum run number
- getMaxRunNumber() - Method in class weka.gui.beans.TestSetEvent
-
Get the maximum number of runs.
- getMaxRunNumber() - Method in class weka.gui.beans.TrainingSetEvent
-
Get the maximum number of runs.
- getMaxSetNumber() - Method in class weka.gui.beans.BatchClassifierEvent
-
Get the maximum set number (ie the total number of training and testing
sets in the series).
- getMaxSetNumber() - Method in class weka.gui.beans.BatchClustererEvent
-
Get the maximum set number (ie the total number of training
and testing sets in the series).
- getMaxSetNumber() - Method in class weka.gui.beans.TestSetEvent
-
Get the maximum set number
- getMaxSetNumber() - Method in class weka.gui.beans.TrainingSetEvent
-
Get the maximum set number
- getMaxSubsequenceLength() - Method in class weka.classifiers.functions.supportVector.StringKernel
-
Returns the maximum length of the subsequence
- getMaxThreshold() - Method in class weka.filters.unsupervised.attribute.NumericCleaner
-
Get the maximum threshold.
- getMaxTime() - Method in class weka.core.pmml.jaxbbindings.BaseCumHazardTables
-
Gets the value of the maxTime property.
- getMaxTime() - Method in class weka.core.pmml.jaxbbindings.BaselineStratum
-
Gets the value of the maxTime property.
- getMaxValue() - Method in class weka.datagenerators.clusterers.SubspaceClusterDefinition
-
- getMaxVersion() - Method in interface weka.gui.visualize.plugins.ErrorVisualizePlugin
-
Get the maximum version of Weka, exclusive, the class
is designed to work with.
- getMaxVersion() - Method in interface weka.gui.visualize.plugins.GraphVisualizePlugin
-
Get the maximum version of Weka, exclusive, the class
is designed to work with.
- getMaxVersion() - Method in interface weka.gui.visualize.plugins.TreeVisualizePlugin
-
Get the maximum version of Weka, exclusive, the class
is designed to work with.
- getMaxVersion() - Method in interface weka.gui.visualize.plugins.VisualizePlugin
-
Get the maximum version of Weka, exclusive, the class is designed to work
with.
- getMaxX() - Method in class weka.gui.visualize.Plot2D
-
Return the current max value of the attribute plotted on the x axis
- getMaxXBound() - Method in class weka.gui.boundaryvisualizer.BoundaryPanel
-
Gets the maximum x-coordinate bound, in training-instance units (not mouse
coordinates).
- getMaxY() - Method in class weka.gui.visualize.Plot2D
-
Return the current max value of the attribute plotted on the y axis
- getMaxYBound() - Method in class weka.gui.boundaryvisualizer.BoundaryPanel
-
Gets the maximum x-coordinate bound, in training-instance units (not mouse
coordinates).
- getMean() - Method in class weka.core.pmml.jaxbbindings.AnyDistribution
-
Gets the value of the mean property.
- getMean() - Method in class weka.core.pmml.jaxbbindings.GaussianDistribution
-
Gets the value of the mean property.
- getMean() - Method in class weka.core.pmml.jaxbbindings.NumericInfo
-
Gets the value of the mean property.
- getMean() - Method in class weka.core.pmml.jaxbbindings.PoissonDistribution
-
Gets the value of the mean property.
- getMean() - Method in class weka.core.pmml.jaxbbindings.Time
-
Gets the value of the mean property.
- getMean() - Method in class weka.estimators.MultivariateGaussianEstimator
-
Returns the mean vector.
- getMean() - Method in class weka.estimators.NormalEstimator
-
Return the value of the mean of this normal estimator.
- getMean(int, int) - Method in class weka.experiment.ResultMatrix
-
returns the mean at the given position, if the position is valid, otherwise
0.
- getMeanAbsoluteError() - Method in class weka.core.pmml.jaxbbindings.PredictiveModelQuality
-
Gets the value of the meanAbsoluteError property.
- getMeanCoordsPerPoint() - Method in class weka.core.neighboursearch.PerformanceStats
-
Returns the mean of coords per point.
- getMeanError() - Method in class weka.core.pmml.jaxbbindings.PredictiveModelQuality
-
Gets the value of the meanError property.
- getMeanIntNodesVisited() - Method in class weka.core.neighboursearch.TreePerformanceStats
-
Returns the mean of internal nodes visited.
- getMeanLeavesVisited() - Method in class weka.core.neighboursearch.TreePerformanceStats
-
Returns the mean of number of leaves visited.
- getMeanOfSquares() - Method in class weka.core.pmml.jaxbbindings.AnovaRow
-
Gets the value of the meanOfSquares property.
- getMeanPointsVisited() - Method in class weka.core.neighboursearch.PerformanceStats
-
Returns the mean of points visited.
- getMeanPrec() - Method in class weka.experiment.ResultMatrix
-
returns the current precision for the means.
- getMeanPrecision() - Static method in class weka.gui.experiment.ExperimenterDefaults
-
returns the default precision for the mean.
- getMeans() - Method in class weka.estimators.KernelEstimator
-
Return the means of the kernels.
- getMeanSquared() - Method in class weka.classifiers.lazy.IBk
-
Gets whether the mean squared error is used rather than mean
absolute error when doing cross-validation.
- getMeanSquaredError() - Method in class weka.core.pmml.jaxbbindings.PredictiveModelQuality
-
Gets the value of the meanSquaredError property.
- getMeanValue() - Method in class weka.datagenerators.clusterers.SubspaceClusterDefinition
-
- getMeanWidth() - Method in class weka.experiment.ResultMatrix
-
returns the current width for the mean.
- getMeasure(String) - Method in class weka.classifiers.bayes.BayesNet
-
Returns the value of the named measure
- getMeasure(String) - Method in class weka.classifiers.functions.SimpleLogistic
-
Returns the value of the named measure
- getMeasure(String) - Method in class weka.classifiers.functions.SMOreg
-
Returns the value of the named measure
- getMeasure(String) - Method in class weka.classifiers.lazy.IBk
-
Returns the value of the named measure from the
neighbour search algorithm, plus the chosen K in case
cross-validation is enabled.
- getMeasure(String) - Method in class weka.classifiers.lazy.LWL
-
Returns the value of the named measure from the
neighbour search algorithm.
- getMeasure(String) - Method in class weka.classifiers.meta.AdditiveRegression
-
Returns the value of the named measure
- getMeasure(String) - Method in class weka.classifiers.meta.AttributeSelectedClassifier
-
Returns the value of the named measure
- getMeasure(String) - Method in class weka.classifiers.meta.Bagging
-
Returns the value of the named measure.
- getMeasure(String) - Method in class weka.classifiers.meta.IterativeClassifierOptimizer
-
Returns the value of the named measure
- getMeasure(String) - Method in class weka.classifiers.misc.InputMappedClassifier
-
Returns the value of the named measure
- getMeasure(String) - Method in class weka.classifiers.rules.DecisionTable
-
Returns the value of the named measure
- getMeasure(String) - Method in class weka.classifiers.rules.JRip
-
Returns the value of the named measure
- getMeasure(String) - Method in class weka.classifiers.rules.PART
-
Returns the value of the named measure
- getMeasure(String) - Method in class weka.classifiers.trees.J48
-
Returns the value of the named measure
- getMeasure(String) - Method in class weka.classifiers.trees.LMT
-
Returns the value of the named measure
- getMeasure(String) - Method in class weka.classifiers.trees.m5.M5Base
-
Returns the value of the named measure
- getMeasure(String) - Method in class weka.classifiers.trees.REPTree
-
Returns the value of the named measure.
- getMeasure(String) - Method in interface weka.core.AdditionalMeasureProducer
-
Returns the value of the named measure
- getMeasure(String) - Method in class weka.core.neighboursearch.BallTree
-
Returns the value of the named measure.
- getMeasure(String) - Method in class weka.core.neighboursearch.CoverTree
-
Returns the value of the named measure.
- getMeasure(String) - Method in class weka.core.neighboursearch.KDTree
-
Returns the value of the named measure.
- getMeasure(String) - Method in class weka.core.neighboursearch.NearestNeighbourSearch
-
Returns the value of the named measure.
- getMeasure(String) - Method in class weka.core.neighboursearch.PerformanceStats
-
Returns the value of the named measure.
- getMeasure(String) - Method in class weka.core.neighboursearch.TreePerformanceStats
-
Returns the value of the named measure.
- getMeasure(String) - Method in class weka.experiment.AveragingResultProducer
-
Returns the value of the named measure
- getMeasure(String) - Method in class weka.experiment.ClassifierSplitEvaluator
-
Returns the value of the named measure
- getMeasure(String) - Method in class weka.experiment.CrossValidationResultProducer
-
Returns the value of the named measure
- getMeasure(String) - Method in class weka.experiment.DatabaseResultProducer
-
Returns the value of the named measure
- getMeasure(String) - Method in class weka.experiment.DensityBasedClustererSplitEvaluator
-
Returns the value of the named measure
- getMeasure(String) - Method in class weka.experiment.ExplicitTestsetResultProducer
-
Returns the value of the named measure.
- getMeasure(String) - Method in class weka.experiment.LearningRateResultProducer
-
Returns the value of the named measure
- getMeasure(String) - Method in class weka.experiment.RandomSplitResultProducer
-
Returns the value of the named measure
- getMeasure(String) - Method in class weka.experiment.RegressionSplitEvaluator
-
Returns the value of the named measure
- getMeasurePerformance() - Method in class weka.core.neighboursearch.NearestNeighbourSearch
-
Gets whether performance statistics are being calculated or not.
- getMedian() - Method in class weka.core.pmml.jaxbbindings.NumericInfo
-
Gets the value of the median property.
- getMembershipValues(Instance) - Method in class weka.classifiers.meta.Bagging
-
Computes an array that indicates leaf membership
- getMembershipValues(Instance) - Method in class weka.classifiers.meta.FilteredClassifier
-
Computes an array that has a value for each element in the partition.
- getMembershipValues(Instance) - Method in class weka.classifiers.meta.RandomCommittee
-
Computes an array that indicates leaf membership
- getMembershipValues(Instance) - Method in class weka.classifiers.trees.j48.ClassifierTree
-
Computes a list that indicates node membership
- getMembershipValues(Instance) - Method in class weka.classifiers.trees.J48
-
Computes an array that indicates node membership.
- getMembershipValues(Instance) - Method in class weka.classifiers.trees.RandomTree
-
Computes array that indicates node membership.
- getMembershipValues(Instance) - Method in class weka.classifiers.trees.REPTree
-
Computes array that indicates node membership.
- getMembershipValues(Instance) - Method in interface weka.core.PartitionGenerator
-
Computes an array that has a value for each element in the partition.
- getMenu() - Method in class weka.gui.arffviewer.ArffViewerMainPanel
-
returns the menu bar to be added in a frame
- getMenuBar() - Method in class weka.classifiers.bayes.net.GUI
-
Get the menu bar for this application.
- getMenuBar() - Method in interface weka.gui.GUIChooser.GUIChooserMenuPlugin
-
Return the menu bar for this plugin
- getMenuBar() - Method in class weka.gui.scripting.FileScriptingPanel
-
Returns the menu bar to to be displayed in the frame.
- getMenuBar() - Method in class weka.gui.scripting.ScriptingPanel
-
Returns the menu bar to to be displayed in the frame.
- getMenuBar() - Method in class weka.gui.SimpleCLIPanel
-
Not supported.
- getMenuEntryText() - Method in interface weka.gui.GUIChooser.GUIChooserMenuPlugin
-
Get the text entry to appear in the menu
- getMenuItem(String) - Method in class weka.gui.knowledgeflow.MainKFPerspectiveToolBar
-
- getMenus() - Method in class weka.gui.AbstractPerspective
-
Get an ordered list of menus to appear in the main menu bar.
- getMenus() - Method in class weka.gui.explorer.PreprocessPanel
-
- getMenus() - Method in class weka.gui.knowledgeflow.MainKFPerspective
-
Get an ordered list of menus to appear in the main menu bar.
- getMenus() - Method in class weka.gui.knowledgeflow.MainKFPerspectiveToolBar
-
Get the list of menus
- getMenus() - Method in interface weka.gui.Perspective
-
Get an ordered list of menus to appear in the main menu bar.
- getMenus() - Method in class weka.gui.SimpleCLIPanel
-
- getMenuTitle() - Method in interface weka.gui.MainMenuExtension
-
Returns the name of the menu item.
- getMenuToDisplayIn() - Method in interface weka.gui.GUIChooser.GUIChooserMenuPlugin
-
Get the menu that the plugin is to be listed in
- getMergeValueRange() - Method in class weka.filters.unsupervised.attribute.MergeManyValues
-
Get the range of the merge values used.
- getMetaClassifier() - Method in class weka.classifiers.meta.Stacking
-
Gets the meta classifier.
- getMetadata() - Method in class weka.core.Attribute
-
Returns the properties supplied for this attribute.
- getMetaData() - Method in class weka.core.converters.DatabaseConnection
-
Gets meta data for the database connection object.
- getMetadata() - Method in class weka.core.Settings.SettingKey
-
Get the metadata for this setting
- getMetadataElement(String) - Method in class weka.core.Settings.SettingKey
-
Get a piece of metadata for this setting
- getMetadataElement(String, String) - Method in class weka.core.Settings.SettingKey
-
Get a peice of metadata for this setting
- getMetaStore() - Static method in class weka.gui.beans.BeansProperties
-
Get the metastore
- getMethod() - Method in class weka.classifiers.functions.neural.NeuralNode
-
- getMethod() - Method in class weka.classifiers.meta.MultiClassClassifier
-
Gets the method used.
- getMethod() - Method in class weka.core.pmml.jaxbbindings.NormDiscrete
-
Gets the value of the method property.
- getMethodName() - Method in class weka.filters.unsupervised.attribute.NumericTransform
-
Get the transformation method.
- getMetricDescription() - Method in class weka.classifiers.evaluation.AbstractEvaluationMetric
-
Get a short description of this metric (algorithm, forumulas etc.).
- getMetricName() - Method in class weka.classifiers.evaluation.AbstractEvaluationMetric
-
Get the name of this metric
- getMetricNamesForRule() - Method in class weka.associations.AssociationRule
-
Return the names of the metrics available for this rule.
- getMetricNamesForRule() - Method in class weka.associations.DefaultAssociationRule
-
- getMetricRange(Map<String, WeightMass>) - Method in class weka.classifiers.trees.ht.GiniSplitMetric
-
- getMetricRange(Map<String, WeightMass>) - Method in class weka.classifiers.trees.ht.InfoGainSplitMetric
-
- getMetricRange(Map<String, WeightMass>) - Method in class weka.classifiers.trees.ht.SplitMetric
-
Get the range of the splitting metric
- getMetricsToDisplay() - Method in class weka.classifiers.evaluation.Evaluation
-
Get a list of the names of metrics to have appear in the output The default
is to display all built in metrics and plugin metrics that haven't been
globally disabled.
- getMetricsToDisplay() - Method in class weka.classifiers.Evaluation
-
Get a list of the names of metrics to have appear in the output The default
is to display all built in metrics and plugin metrics that haven't been
globally disabled.
- getMetricType() - Method in class weka.associations.Apriori
-
Get the metric type
- getMetricType() - Method in class weka.associations.FPGrowth
-
Get the metric type to use.
- getMetricValuesForRule() - Method in class weka.associations.AssociationRule
-
Get all the available metric values for this rule.
- getMetricValuesForRule() - Method in class weka.associations.DefaultAssociationRule
-
- getMiddle(double[]) - Method in class weka.core.EuclideanDistance
-
Returns value in the middle of the two parameter values.
- getMin() - Method in class weka.core.pmml.jaxbbindings.Target
-
Gets the value of the min property.
- getMin() - Method in class weka.core.pmml.jaxbbindings.Time
-
Gets the value of the min property.
- getMin() - Method in class weka.gui.beans.ChartEvent
-
Get the min y value
- getMinAbsoluteCoefficientValue() - Method in class weka.classifiers.functions.SGDText
-
Get the minimum absolute magnitude for model coefficients.
- getMinArray() - Method in class weka.filters.unsupervised.attribute.Normalize
-
Returns the calculated minimum values for the attributes in the data.
- getMinBoxRelWidth() - Method in class weka.core.neighboursearch.KDTree
-
Gets the minimum relative box width.
- getMinBucketSize() - Method in class weka.classifiers.rules.OneR
-
Get the value of minBucketSize.
- getMinC() - Method in class weka.gui.visualize.Plot2D
-
Return the current min value of the colouring attribute
- getMinCoordsPerPoint() - Method in class weka.core.neighboursearch.PerformanceStats
-
Returns the minimum of coords per point.
- getMinDefault() - Method in class weka.filters.unsupervised.attribute.NumericCleaner
-
Get the minimum default.
- getMinFunction() - Method in class weka.core.Optimization
-
Get the minimal function value
- getMinimal() - Method in class weka.classifiers.functions.LinearRegression
-
Returns whether to be more memory conservative or being able to output the
model as string.
- getMinimizeAbsoluteError() - Method in class weka.classifiers.meta.AdditiveRegression
-
Gets whether absolute error is to be minimized.
- getMinimizeAbsoluteError() - Method in class weka.classifiers.meta.RegressionByDiscretization
-
Gets whether to min.
- getMinimizeExpectedCost() - Method in class weka.classifiers.meta.CostSensitiveClassifier
-
Gets the value of MinimizeExpectedCost.
- getMinimum() - Method in class weka.core.pmml.jaxbbindings.ComparisonMeasure
-
Gets the value of the minimum property.
- getMinimum() - Method in class weka.core.pmml.jaxbbindings.NumericInfo
-
Gets the value of the minimum property.
- getMinimumAntConsSeparationTime() - Method in class weka.core.pmml.jaxbbindings.Constraints
-
Gets the value of the minimumAntConsSeparationTime property.
- getMinimumBucketSize() - Method in class weka.attributeSelection.OneRAttributeEval
-
Get the minimum bucket size used by oneR
- getMinimumCanopyDensity() - Method in class weka.clusterers.Canopy
-
Get the minimum T2-based density below which a canopy will be pruned during
periodic pruning.
- getMinimumConfidence() - Method in class weka.core.pmml.jaxbbindings.AssociationModel
-
Gets the value of the minimumConfidence property.
- getMinimumConfidence() - Method in class weka.core.pmml.jaxbbindings.Constraints
-
Gets the value of the minimumConfidence property.
- getMinimumFractionOfWeightInfoGain() - Method in class weka.classifiers.trees.HoeffdingTree
-
Get the minimum fraction of weight required down at least two branches for
info gain splitting
- getMinimumFrequency() - Method in class weka.filters.unsupervised.attribute.MergeInfrequentNominalValues
-
Gets the minimum frequency.
- getMinimumItemsetSeparationTime() - Method in class weka.core.pmml.jaxbbindings.Constraints
-
Gets the value of the minimumItemsetSeparationTime property.
- getMinimumLift() - Method in class weka.core.pmml.jaxbbindings.Constraints
-
Gets the value of the minimumLift property.
- getMinimumNumberInstances() - Method in class weka.core.Capabilities
-
returns the minimum number of instances that have to be in the dataset
- getMinimumNumberOfAntecedentItems() - Method in class weka.core.pmml.jaxbbindings.Constraints
-
Gets the value of the minimumNumberOfAntecedentItems property.
- getMinimumNumberOfConsequentItems() - Method in class weka.core.pmml.jaxbbindings.Constraints
-
Gets the value of the minimumNumberOfConsequentItems property.
- getMinimumNumberOfItems() - Method in class weka.core.pmml.jaxbbindings.Constraints
-
Gets the value of the minimumNumberOfItems property.
- getMinimumSupport() - Method in class weka.core.pmml.jaxbbindings.AssociationModel
-
Gets the value of the minimumSupport property.
- getMinimumSupport() - Method in class weka.core.pmml.jaxbbindings.Constraints
-
Gets the value of the minimumSupport property.
- getMinimumTotalSequenceTime() - Method in class weka.core.pmml.jaxbbindings.Constraints
-
Gets the value of the minimumTotalSequenceTime property.
- getMiningBuildTask() - Method in class weka.core.pmml.jaxbbindings.PMML
-
Gets the value of the miningBuildTask property.
- getMiningFields() - Method in class weka.core.pmml.jaxbbindings.MiningSchema
-
Gets the value of the miningField property.
- getMiningFields() - Method in class weka.core.pmml.MiningSchema
-
- getMiningModel() - Method in class weka.core.pmml.jaxbbindings.Segment
-
Gets the value of the miningModel property.
- getMiningSchema() - Method in class weka.classifiers.pmml.consumer.PMMLClassifier
-
Get the mining schema for this model.
- getMiningSchema() - Method in interface weka.core.pmml.PMMLModel
-
Get the mining schema.
- getMiningSchemaAsInstances() - Method in class weka.core.pmml.MiningSchema
-
Get the mining schema fields as an Instances object.
- getMinInstNum() - Method in class weka.datagenerators.clusterers.BIRCHCluster
-
Gets the lower boundary for instances per cluster.
- getMinInstNum() - Method in class weka.datagenerators.clusterers.SubspaceClusterDefinition
-
Gets the lower boundary for instances per cluster.
- getMinIntNodesVisited() - Method in class weka.core.neighboursearch.TreePerformanceStats
-
Returns the minimum of internal nodes visited.
- getMinkowski() - Method in class weka.core.pmml.jaxbbindings.ComparisonMeasure
-
Gets the value of the minkowski property.
- getMinLeavesVisited() - Method in class weka.core.neighboursearch.TreePerformanceStats
-
Returns the minimum number of leaves visited.
- getMinLevel() - Method in class weka.core.logging.Logger
-
Returns the minimum level log messages must have in order to appear in the
log.
- getMinLogLikelihoodImprovementCV() - Method in class weka.clusterers.EM
-
Get the minimum improvement in cross-validated log likelihood required to
consider increasing the number of clusters when cross-validating to find
the best number of clusters
- getMinLogLikelihoodImprovementIterating() - Method in class weka.clusterers.EM
-
Get the minimum improvement in log likelihood necessary to perform another
iteration of the E and M steps.
- getMinMax(Instances, int, double[]) - Static method in class weka.estimators.CheckEstimator
-
Find the minimum and the maximum of the attribute and return it in the last
parameter..
- getMinMax(Instances, int, double[]) - Static method in class weka.estimators.EstimatorUtils
-
Find the minimum and the maximum of the attribute and return it in the last
parameter.
- getMinMetric() - Method in class weka.associations.Apriori
-
Get the value of minConfidence.
- getMinMetric() - Method in class weka.associations.FPGrowth
-
Get the value of minConfidence.
- getMinNo() - Method in class weka.classifiers.rules.JRip
-
Gets the minimum total weight of the instances in a rule
- getMinNum() - Method in class weka.classifiers.trees.RandomTree
-
Get the value of MinNum.
- getMinNum() - Method in class weka.classifiers.trees.REPTree
-
Get the value of MinNum.
- getMinNumInstances() - Method in class weka.classifiers.trees.LMT
-
Get the value of minNumInstances.
- getMinNumInstances() - Method in class weka.classifiers.trees.m5.M5Base
-
Get the minimum number of instances to allow at a leaf node
- getMinNumInstances() - Method in class weka.classifiers.trees.m5.Rule
-
Get the minimum number of instances to allow at a leaf node
- getMinNumInstances() - Method in class weka.classifiers.trees.m5.RuleNode
-
Get the minimum number of instances to allow at a leaf node
- getMinNumObj() - Method in class weka.classifiers.rules.PART
-
Get the value of minNumObj.
- getMinNumObj() - Method in class weka.classifiers.trees.J48
-
Get the value of minNumObj.
- getMinPointsVisited() - Method in class weka.core.neighboursearch.PerformanceStats
-
Returns the minimum of points visited.
- getMinRadius() - Method in class weka.datagenerators.clusterers.BIRCHCluster
-
Gets the lower boundary for the radiuses of the clusters.
- getMinRange() - Method in class weka.datagenerators.classifiers.regression.MexicanHat
-
Gets the lower boundary for the range of x
- getMinRuleSize() - Method in class weka.datagenerators.classifiers.classification.RDG1
-
Gets the minimum number of tests in rules.
- getMinStdDev() - Method in class weka.clusterers.EM
-
Get the minimum allowable standard deviation.
- getMinStdDev() - Method in class weka.clusterers.MakeDensityBasedClusterer
-
Get the minimum allowable standard deviation.
- getMinTermFreq() - Method in class weka.core.converters.DictionarySaver
-
Get the MinTermFreq value.
- getMinTermFreq() - Method in class weka.core.DictionaryBuilder
-
Get the MinTermFreq value.
- getMinTermFreq() - Method in class weka.filters.unsupervised.attribute.StringToWordVector
-
Get the MinTermFreq value.
- getMinThreshold() - Method in class weka.filters.unsupervised.attribute.NumericCleaner
-
Get the minimum threshold.
- getMinValue() - Method in class weka.datagenerators.clusterers.SubspaceClusterDefinition
-
- getMinVarianceProp() - Method in class weka.classifiers.trees.RandomTree
-
Get the value of MinVarianceProp.
- getMinVarianceProp() - Method in class weka.classifiers.trees.REPTree
-
Get the value of MinVarianceProp.
- getMinVersion() - Method in interface weka.gui.visualize.plugins.ErrorVisualizePlugin
-
Get the minimum version of Weka, inclusive, the class
is designed to work with.
- getMinVersion() - Method in interface weka.gui.visualize.plugins.GraphVisualizePlugin
-
Get the minimum version of Weka, inclusive, the class
is designed to work with.
- getMinVersion() - Method in interface weka.gui.visualize.plugins.TreeVisualizePlugin
-
Get the minimum version of Weka, inclusive, the class
is designed to work with.
- getMinVersion() - Method in interface weka.gui.visualize.plugins.VisualizePlugin
-
Get the minimum version of Weka, inclusive, the class is designed to work
with.
- getMinWordFrequency() - Method in class weka.classifiers.bayes.NaiveBayesMultinomialText
-
Get the minimum word frequency.
- getMinWordFrequency() - Method in class weka.classifiers.functions.SGDText
-
Get the minimum word frequency.
- getMinX() - Method in class weka.gui.visualize.Plot2D
-
Return the current min value of the attribute plotted on the x axis
- getMinXBound() - Method in class weka.gui.boundaryvisualizer.BoundaryPanel
-
Gets the minimum x-coordinate bound, in training-instance units (not mouse
coordinates).
- getMinY() - Method in class weka.gui.visualize.Plot2D
-
Return the current min value of the attribute plotted on the y axis
- getMinYBound() - Method in class weka.gui.boundaryvisualizer.BoundaryPanel
-
Gets the minimum y-coordinate bound, in training-instance units (not mouse
coordinates).
- getMisses() - Method in class weka.core.FindWithCapabilities
-
returns the misses from the last find call.
- getMissingDependencies(List<Package>) - Method in class weka.core.packageManagement.DefaultPackage
-
Gets a list of packages that this package depends on that are not in the
supplied list of packages.
- getMissingDependencies() - Method in class weka.core.packageManagement.DefaultPackage
-
Gets a list of packages that this package depends on that are not currently
installed.
- getMissingDependencies() - Method in class weka.core.packageManagement.Package
-
Gets a list of packages that this package depends on that are not currently
installed.
- getMissingDependencies(List<Package>) - Method in class weka.core.packageManagement.Package
-
Gets a list of packages that this package depends on that are not in the
supplied list of packages.
- getMissingFreq() - Method in class weka.core.pmml.jaxbbindings.Counts
-
Gets the value of the missingFreq property.
- getMissingMerge() - Method in class weka.attributeSelection.GainRatioAttributeEval
-
get whether missing values are being distributed or not
- getMissingMerge() - Method in class weka.attributeSelection.InfoGainAttributeEval
-
get whether missing values are being distributed or not
- getMissingMerge() - Method in class weka.attributeSelection.SymmetricalUncertAttributeEval
-
get whether missing values are being distributed or not
- getMissingMode() - Method in class weka.classifiers.lazy.KStar
-
Gets the method to use for handling missing values.
- getMissingSeparate() - Method in class weka.attributeSelection.CfsSubsetEval
-
Return true is missing is treated as a separate value
- getMissingValue() - Method in class weka.core.converters.CSVLoader
-
Returns the current placeholder for missing values.
- getMissingValue() - Method in class weka.core.converters.CSVSaver
-
Returns the current placeholder for missing values.
- getMissingValuePenalty() - Method in class weka.core.pmml.jaxbbindings.DecisionTree
-
Gets the value of the missingValuePenalty property.
- getMissingValuePenalty() - Method in class weka.core.pmml.jaxbbindings.TreeModel
-
Gets the value of the missingValuePenalty property.
- getMissingValueReplacement() - Method in class weka.core.pmml.jaxbbindings.MiningField
-
Gets the value of the missingValueReplacement property.
- getMissingValueStrategy() - Method in class weka.core.pmml.jaxbbindings.DecisionTree
-
Gets the value of the missingValueStrategy property.
- getMissingValueStrategy() - Method in class weka.core.pmml.jaxbbindings.TreeModel
-
Gets the value of the missingValueStrategy property.
- getMissingValueTreatment() - Method in class weka.core.pmml.jaxbbindings.MiningField
-
Gets the value of the missingValueTreatment property.
- getMissingValueTreatmentMethod() - Method in class weka.core.pmml.MiningFieldMetaInfo
-
Get the missing value treatment method for this field.
- getModalValue() - Method in class weka.core.pmml.jaxbbindings.DiscrStats
-
Gets the value of the modalValue property.
- getModel() - Method in class weka.classifiers.trees.m5.RuleNode
-
Get the linear model at this node
- getModel() - Method in class weka.gui.SortedTableModel
-
returns the current model, can be null
- getModelClass() - Method in class weka.core.pmml.jaxbbindings.ClusteringModel
-
Gets the value of the modelClass property.
- getModelDF() - Method in class weka.core.pmml.jaxbbindings.GeneralRegressionModel
-
Gets the value of the modelDF property.
- getModelFile() - Method in class weka.classifiers.misc.SerializedClassifier
-
Gets the file containing the serialized model.
- getModelHeader(Instances) - Method in class weka.classifiers.misc.InputMappedClassifier
-
Return the instance structure that the encapsulated model was built with.
- getModelLiftGraph() - Method in class weka.core.pmml.jaxbbindings.LiftData
-
Gets the value of the modelLiftGraph property.
- getModelName() - Method in class weka.core.pmml.jaxbbindings.AssociationModel
-
Gets the value of the modelName property.
- getModelName() - Method in class weka.core.pmml.jaxbbindings.BaselineModel
-
Gets the value of the modelName property.
- getModelName() - Method in class weka.core.pmml.jaxbbindings.ClusteringModel
-
Gets the value of the modelName property.
- getModelName() - Method in class weka.core.pmml.jaxbbindings.DecisionTree
-
Gets the value of the modelName property.
- getModelName() - Method in class weka.core.pmml.jaxbbindings.GeneralRegressionModel
-
Gets the value of the modelName property.
- getModelName() - Method in class weka.core.pmml.jaxbbindings.MiningModel
-
Gets the value of the modelName property.
- getModelName() - Method in class weka.core.pmml.jaxbbindings.NaiveBayesModel
-
Gets the value of the modelName property.
- getModelName() - Method in class weka.core.pmml.jaxbbindings.NearestNeighborModel
-
Gets the value of the modelName property.
- getModelName() - Method in class weka.core.pmml.jaxbbindings.NeuralNetwork
-
Gets the value of the modelName property.
- getModelName() - Method in class weka.core.pmml.jaxbbindings.Regression
-
Gets the value of the modelName property.
- getModelName() - Method in class weka.core.pmml.jaxbbindings.RegressionModel
-
Gets the value of the modelName property.
- getModelName() - Method in class weka.core.pmml.jaxbbindings.RuleSetModel
-
Gets the value of the modelName property.
- getModelName() - Method in class weka.core.pmml.jaxbbindings.Scorecard
-
Gets the value of the modelName property.
- getModelName() - Method in class weka.core.pmml.jaxbbindings.SequenceModel
-
Gets the value of the modelName property.
- getModelName() - Method in class weka.core.pmml.jaxbbindings.SupportVectorMachineModel
-
Gets the value of the modelName property.
- getModelName() - Method in class weka.core.pmml.jaxbbindings.TextModel
-
Gets the value of the modelName property.
- getModelName() - Method in class weka.core.pmml.jaxbbindings.TimeSeriesModel
-
Gets the value of the modelName property.
- getModelName() - Method in class weka.core.pmml.jaxbbindings.TreeModel
-
Gets the value of the modelName property.
- getModelParameters() - Method in class weka.classifiers.trees.lmt.LMTNode
-
Returns a string describing the number of LogitBoost iterations performed
at this node, the total number of LogitBoost iterations performed
(including iterations at higher levels in the tree), and the number of
training examples at this node.
- getModelPath() - Method in class weka.classifiers.misc.InputMappedClassifier
-
Get the path used for loading a model.
- getModelStats() - Method in class weka.core.pmml.jaxbbindings.DecisionTree
-
Gets the value of the modelStats property.
- getModelStats() - Method in class weka.core.pmml.jaxbbindings.Regression
-
Gets the value of the modelStats property.
- getModelType() - Method in class weka.core.pmml.jaxbbindings.GeneralRegressionModel
-
Gets the value of the modelType property.
- getModelType() - Method in class weka.core.pmml.jaxbbindings.RegressionModel
-
Gets the value of the modelType property.
- getModelValueAt(int, int) - Method in class weka.gui.arffviewer.ArffSortedTableModel
-
returns the value at the given position
- getModificationText() - Method in class weka.filters.RenameRelation
-
Get the modification text to apply
- getModificationText() - Method in class weka.knowledgeflow.steps.AlterRelationName
-
Get the modification text to apply
- getModifyHeader() - Method in class weka.filters.unsupervised.instance.RemoveFrequentValues
-
Gets whether the header will be modified when selecting on nominal
attributes.
- getModifyHeader() - Method in class weka.filters.unsupervised.instance.RemoveWithValues
-
Gets whether the header will be modified when selecting on nominal
attributes.
- getModType() - Method in class weka.filters.RenameRelation
-
Get the modification type to apply
- getModType() - Method in class weka.knowledgeflow.steps.AlterRelationName
-
Get the modification type to apply
- getMomentum() - Method in class weka.classifiers.functions.MultilayerPerceptron
-
- getMultiInstance() - Method in class weka.core.TestInstances
-
Gets whether multi-instance data (with a fixed structure) is generated
- getMultiInstanceCapabilities() - Method in interface weka.core.MultiInstanceCapabilitiesHandler
-
Returns the capabilities of this multi-instance classifier for the
relational data (i.e., the bags).
- getMultiLineComment() - Method in class weka.gui.scripting.SyntaxDocument
-
Returns whether multi-line comments are enabled.
- getMultiLineCommentEnd() - Method in class weka.gui.scripting.SyntaxDocument
-
Returns the end of a multi-line comment.
- getMultiLineCommentStart() - Method in class weka.gui.scripting.SyntaxDocument
-
Returns the string that is the start of a multi-line comment.
- getMultipleModelMethod() - Method in class weka.core.pmml.jaxbbindings.Segmentation
-
Gets the value of the multipleModelMethod property.
- getMultivariateStat() - Method in class weka.core.pmml.jaxbbindings.MultivariateStats
-
Gets the value of the multivariateStat property.
- getMultivariateStats() - Method in class weka.core.pmml.jaxbbindings.ModelStats
-
Gets the value of the multivariateStats property.
- getMustRunSingleThreaded() - Method in class weka.knowledgeflow.StepTask
-
Get whether this StepTask
must run single threaded - i.e.
- getN() - Method in class weka.core.pmml.jaxbbindings.ArrayType
-
Gets the value of the n property.
- getN() - Method in class weka.core.pmml.jaxbbindings.INTSparseArray
-
Gets the value of the n property.
- getN() - Method in class weka.core.pmml.jaxbbindings.REALSparseArray
-
Gets the value of the n property.
- getNaiveBayesModel() - Method in class weka.classifiers.trees.j48.NBTreeNoSplit
-
Get the naive bayes model at this node
- getNaiveBayesModel() - Method in class weka.core.pmml.jaxbbindings.Segment
-
Gets the value of the naiveBayesModel property.
- getNaiveBayesPredictionThreshold() - Method in class weka.classifiers.trees.HoeffdingTree
-
Get the number of instances (weight) a leaf should observe before allowing
naive Bayes to make predictions
- getName() - Method in class weka.classifiers.bayes.BayesNet
-
get name of the Bayes network
- getName() - Method in class weka.core.expressionlanguage.common.Primitives.BooleanVariable
-
- getName() - Method in class weka.core.expressionlanguage.common.Primitives.DoubleVariable
-
- getName() - Method in class weka.core.expressionlanguage.common.Primitives.StringVariable
-
- getName() - Method in class weka.core.json.JSONNode
-
Returns the name of the node.
- getName() - Method in class weka.core.packageManagement.DefaultPackage
-
Convenience method to return the name of this package.
- getName() - Method in class weka.core.packageManagement.Package
-
Convenience method to return the name of this package.
- getName() - Method in class weka.core.pmml.Function
-
- getName() - Method in class weka.core.pmml.jaxbbindings.Application
-
Gets the value of the name property.
- getName() - Method in class weka.core.pmml.jaxbbindings.CategoricalPredictor
-
Gets the value of the name property.
- getName() - Method in class weka.core.pmml.jaxbbindings.Characteristic
-
Gets the value of the name property.
- getName() - Method in class weka.core.pmml.jaxbbindings.Cluster
-
Gets the value of the name property.
- getName() - Method in class weka.core.pmml.jaxbbindings.DataField
-
Gets the value of the name property.
- getName() - Method in class weka.core.pmml.jaxbbindings.DefineFunction
-
Gets the value of the name property.
- getName() - Method in class weka.core.pmml.jaxbbindings.DerivedField
-
Gets the value of the name property.
- getName() - Method in class weka.core.pmml.jaxbbindings.Extension
-
Gets the value of the name property.
- getName() - Method in class weka.core.pmml.jaxbbindings.MiningField
-
Gets the value of the name property.
- getName() - Method in class weka.core.pmml.jaxbbindings.MultivariateStat
-
Gets the value of the name property.
- getName() - Method in class weka.core.pmml.jaxbbindings.NumericPredictor
-
Gets the value of the name property.
- getName() - Method in class weka.core.pmml.jaxbbindings.OutputField
-
Gets the value of the name property.
- getName() - Method in class weka.core.pmml.jaxbbindings.Parameter
-
Gets the value of the name property.
- getName() - Method in class weka.core.pmml.jaxbbindings.ParameterField
-
Gets the value of the name property.
- getName() - Method in class weka.core.pmml.jaxbbindings.Partition
-
Gets the value of the name property.
- getName() - Method in class weka.core.pmml.jaxbbindings.Predictor
-
Gets the value of the name property.
- getName() - Method in class weka.core.pmml.jaxbbindings.PredictorTerm
-
Gets the value of the name property.
- getName() - Method in class weka.core.pmml.jaxbbindings.ResultField
-
Gets the value of the name property.
- getName() - Method in class weka.core.pmml.jaxbbindings.Taxonomy
-
Gets the value of the name property.
- getName() - Method in class weka.core.pmml.jaxbbindings.TextDocument
-
Gets the value of the name property.
- getName() - Method in class weka.core.pmml.MiningFieldMetaInfo
-
Get the name of this field.
- getName() - Method in class weka.core.PropertyPath.PathElement
-
returns the name of the property
- getName() - Method in class weka.filters.unsupervised.attribute.AddExpression
-
Returns the name of the new attribute
- getName() - Method in class weka.filters.unsupervised.attribute.AddUserFields.AttributeSpec
-
Get the name of the new attribute
- getName() - Method in class weka.gui.experiment.AbstractSetupPanel
-
Returns the name of the panel.
- getName() - Method in class weka.gui.experiment.SetupPanel
-
Returns the name of the panel.
- getName() - Method in class weka.gui.experiment.SimpleSetupPanel
-
Returns the name of the panel.
- getName() - Method in class weka.gui.simplecli.AbstractCommand
-
Returns the name of the command.
- getName() - Method in class weka.gui.simplecli.Capabilities
-
Returns the name of the command.
- getName() - Method in class weka.gui.simplecli.Cls
-
Returns the name of the command.
- getName() - Method in class weka.gui.simplecli.Echo
-
Returns the name of the command.
- getName() - Method in class weka.gui.simplecli.Exit
-
Returns the name of the command.
- getName() - Method in class weka.gui.simplecli.Help
-
Returns the name of the command.
- getName() - Method in class weka.gui.simplecli.History
-
Returns the name of the command.
- getName() - Method in class weka.gui.simplecli.Java
-
Returns the name of the command.
- getName() - Method in class weka.gui.simplecli.Kill
-
Returns the name of the command.
- getName() - Method in class weka.gui.simplecli.Script
-
Returns the name of the command.
- getName() - Method in class weka.gui.simplecli.Set
-
Returns the name of the command.
- getName() - Method in class weka.gui.simplecli.Unset
-
Returns the name of the command.
- getName() - Method in class weka.gui.visualize.VisualizePanel
-
Returns the name associated with this plot.
- getName() - Method in interface weka.knowledgeflow.StepManager
-
Get the name of the step managed by this StepManager
- getName() - Method in class weka.knowledgeflow.StepManagerImpl
-
Get the name of the Step being managed
- getName() - Method in class weka.knowledgeflow.steps.BaseStep
-
Get the name of this step
- getName() - Method in interface weka.knowledgeflow.steps.Step
-
Get the name of this step
- getNameAndValueFromUnsupervisedNominalToBinaryDerivedAttribute(Instances, Attribute) - Static method in class weka.classifiers.pmml.producer.AbstractPMMLProducerHelper
-
Extracts the original attribute name and value from the name of a binary
indicator attribute created by unsupervised NominalToBinary.
- getNameAtIndex(int) - Method in class weka.gui.ResultHistoryPanel
-
Gets the name of theitem in the list at the specified index
- getNamedBuffer(String) - Method in class weka.gui.ResultHistoryPanel
-
Gets the named buffer
- getNamedMetric(String, int...) - Method in class weka.classifiers.evaluation.EvaluationMetricHelper
-
Gets the value of a named metric.
- getNamedMetricThresholds(String) - Method in class weka.classifiers.evaluation.EvaluationMetricHelper
-
Gets the thresholds produced by the metric, if the metric implements
ThresholdProducingMetric.
- getNamedMetricValue(String) - Method in class weka.associations.AssociationRule
-
Get the value of the named metric for this rule
- getNamedMetricValue(String) - Method in class weka.associations.DefaultAssociationRule
-
- getNamedObject(String) - Method in class weka.gui.ResultHistoryPanel
-
Get the named object from the list
- getNbCols() - Method in class weka.core.pmml.jaxbbindings.Matrix
-
Gets the value of the nbCols property.
- getNbCorrect() - Method in class weka.core.pmml.jaxbbindings.RuleSet
-
Gets the value of the nbCorrect property.
- getNbCorrect() - Method in class weka.core.pmml.jaxbbindings.SimpleRule
-
Gets the value of the nbCorrect property.
- getNbRows() - Method in class weka.core.pmml.jaxbbindings.Matrix
-
Gets the value of the nbRows property.
- getNearestNeighborModel() - Method in class weka.core.pmml.jaxbbindings.Segment
-
Gets the value of the nearestNeighborModel property.
- getNearestNeighbourSearchAlgorithm() - Method in class weka.classifiers.lazy.IBk
-
Returns the current nearestNeighbourSearch algorithm in use.
- getNearestNeighbourSearchAlgorithm() - Method in class weka.classifiers.lazy.LWL
-
Returns the current nearestNeighbourSearch algorithm in use.
- getNegativeTargetFieldDisplayValue() - Method in class weka.core.pmml.jaxbbindings.ROC
-
Gets the value of the negativeTargetFieldDisplayValue property.
- getNegativeTargetFieldValue() - Method in class weka.core.pmml.jaxbbindings.ROC
-
Gets the value of the negativeTargetFieldValue property.
- getNeuralInput() - Method in class weka.core.pmml.jaxbbindings.NeuralInputs
-
Gets the value of the neuralInput property.
- getNeuralNetwork() - Method in class weka.core.pmml.jaxbbindings.Segment
-
Gets the value of the neuralNetwork property.
- getNeuralOutput() - Method in class weka.core.pmml.jaxbbindings.NeuralOutputs
-
Gets the value of the neuralOutput property.
- getNeuron() - Method in class weka.core.pmml.jaxbbindings.NeuralLayer
-
Gets the value of the neuron property.
- getNewAttributeName() - Method in class weka.gui.beans.SubstringLabelerRules
-
Get the name to use for the new attribute that is added
- getNewLine() - Method in class weka.gui.scripting.Script
-
Returns the new line string in use.
- getNext(int) - Method in class weka.classifiers.functions.supportVector.SMOset
-
Gets the next element in the set.
- getNextInstance(Instances) - Method in class weka.core.converters.AbstractLoader
-
- getNextInstance(Instances) - Method in class weka.core.converters.ArffLoader
-
Read the data set incrementally---get the next instance in the data set or
returns null if there are no more instances to get.
- getNextInstance(Instances) - Method in class weka.core.converters.C45Loader
-
Read the data set incrementally---get the next instance in the data set or
returns null if there are no more instances to get.
- getNextInstance(Instances) - Method in class weka.core.converters.CSVLoader
-
- getNextInstance(Instances) - Method in class weka.core.converters.DatabaseLoader
-
Read the data set incrementally---get the next instance in the data set or
returns null if there are no more instances to get.
- getNextInstance(Instances) - Method in class weka.core.converters.JSONLoader
-
JSONLoader is unable to process a data set incrementally.
- getNextInstance(Instances) - Method in class weka.core.converters.LibSVMLoader
-
LibSVmLoader is unable to process a data set incrementally.
- getNextInstance(Instances) - Method in interface weka.core.converters.Loader
-
Read the data set incrementally---get the next instance in the data set or
returns null if there are no more instances to get.
- getNextInstance(Instances) - Method in class weka.core.converters.MatlabLoader
-
MatlabLoader is unable to process a data set incrementally.
- getNextInstance(Instances) - Method in class weka.core.converters.SerializedInstancesLoader
-
Read the data set incrementally---get the next instance in the data
set or returns null if there are no
more instances to get.
- getNextInstance(Instances) - Method in class weka.core.converters.SVMLightLoader
-
SVMLightLoader is unable to process a data set incrementally.
- getNextInstance(Instances) - Method in class weka.core.converters.TextDirectoryLoader
-
Process input directories/files incrementally.
- getNextInstance(Instances) - Method in class weka.core.converters.XRFFLoader
-
XRFFLoader is unable to process a data set incrementally.
- getNGramMaxSize() - Method in class weka.core.tokenizers.CharacterNGramTokenizer
-
Gets the max N of the NGram.
- getNGramMaxSize() - Method in class weka.core.tokenizers.NGramTokenizer
-
Gets the max N of the NGram.
- getNGramMinSize() - Method in class weka.core.tokenizers.CharacterNGramTokenizer
-
Gets the min N of the NGram.
- getNGramMinSize() - Method in class weka.core.tokenizers.NGramTokenizer
-
Gets the min N of the NGram.
- getNoClass() - Method in class weka.core.TestInstances
-
whether no class attribute is generated
- getNode(String) - Method in class weka.classifiers.bayes.net.BIFReader
-
getNode finds the index of the node with name sNodeName and throws an
exception if no such node can be found.
- getNode(String) - Method in class weka.classifiers.bayes.net.EditableBayesNet
-
returns index of node with given name.
- getNode(String) - Method in class weka.classifiers.bayes.net.MarginCalculator
-
- getNode() - Method in class weka.core.pmml.jaxbbindings.DecisionTree
-
Gets the value of the node property.
- getNode(String) - Method in class weka.core.xml.XMLDocument
-
Returns the node represented by the XPath expression.
- getNode2(String) - Method in class weka.classifiers.bayes.net.EditableBayesNet
-
returns index of node with given name, or -1 if no such node exists
- getNodeName(int) - Method in class weka.classifiers.bayes.BayesNet
-
get name of a node in the Bayes network
- getNodes() - Method in class weka.classifiers.trees.lmt.LMTNode
-
Return a list of all inner nodes in the tree
- getNodes(Vector<LMTNode>) - Method in class weka.classifiers.trees.lmt.LMTNode
-
Fills a list with all inner nodes in the tree
- getNodes() - Method in class weka.gui.graphvisualizer.HierarchicalBCEngine
-
give access to set of graph nodes
- getNodes() - Method in interface weka.gui.graphvisualizer.LayoutEngine
-
give access to set of graph nodes
- getNodeSplitter() - Method in class weka.core.neighboursearch.KDTree
-
Returns the splitting method currently in use to split the nodes of the
KDTree.
- getNodeType() - Method in class weka.core.json.JSONNode
-
Returns the type of the container.
- getNodeValue(int, int) - Method in class weka.classifiers.bayes.BayesNet
-
get name of a particular value of a node
- getNoHeaderRow() - Method in class weka.core.converters.CSVSaver
-
Get whether to not write the header row
- getNoHeaderRowPresent() - Method in class weka.core.converters.CSVLoader
-
Get whether there is no header row in the data.
- getNoise() - Method in class weka.classifiers.functions.GaussianProcesses
-
Get the value of noise.
- getNoisePercent() - Method in class weka.datagenerators.classifiers.classification.LED24
-
Gets the noise percentage.
- getNoiseRate() - Method in class weka.datagenerators.classifiers.regression.MexicanHat
-
Gets the gaussian noise rate.
- getNoiseVariance() - Method in class weka.datagenerators.classifiers.regression.MexicanHat
-
Gets the noise variance
- getNominalAttributes() - Method in class weka.core.converters.CSVLoader
-
Returns the current attribute range to be forced to type nominal.
- getNominalBinary() - Method in class weka.gui.beans.SubstringLabeler
-
Get whether the new attribute created should be a nominal binary attribute
rather than a numeric binary attribute.
- getNominalBinary() - Method in class weka.gui.beans.SubstringLabelerRules
-
Get whether to create a nominal binary attribute in the case when the user
has not supplied an explicit label to use for each rule.
- getNominalBinary() - Method in class weka.knowledgeflow.steps.SubstringLabeler
-
Get whether the new attribute created should be a nominal binary attribute
rather than a numeric binary attribute.
- getNominalCols() - Method in class weka.datagenerators.clusterers.SubspaceCluster
-
returns the range of nominal attributes
- getNominalConversionThreshold() - Method in class weka.filters.supervised.attribute.ClassConditionalProbabilities
-
Get the minimum number of values a nominal attribute must have in order to
be transformed.
- getNominalIndices() - Method in class weka.filters.unsupervised.instance.RemoveWithValues
-
Get the set of nominal value indices that will be used for selection
- getNominalLabels() - Method in class weka.filters.unsupervised.attribute.Add
-
Get the list of labels for nominal attribute creation.
- getNominalLabelSpecs() - Method in class weka.core.converters.CSVLoader
-
Get label specifications for nominal attributes.
- getNominalOrStringValue() - Method in class weka.filters.unsupervised.attribute.AddUserFields.AttributeSpec
-
Get the value of the attribute as a string (nominal and string attribute)
or null if the attribute is not nominal or string
- getNominalStringReplacementValue() - Method in class weka.filters.unsupervised.attribute.ReplaceMissingWithUserConstant
-
Get the nominal/string replacement value
- getNominalToBinaryFilter() - Method in class weka.classifiers.functions.MultilayerPerceptron
-
- getNoPruning() - Method in class weka.classifiers.trees.REPTree
-
Get the value of NoPruning.
- getNoReplacement() - Method in class weka.filters.supervised.instance.Resample
-
Gets whether instances are drawn with or without replacement.
- getNoReplacement() - Method in class weka.filters.unsupervised.instance.Resample
-
Gets whether instances are drawn with or without replacement.
- getNorm() - Method in class weka.classifiers.bayes.NaiveBayesMultinomialText
-
Get the instance's Norm.
- getNorm() - Method in class weka.classifiers.functions.SGDText
-
Get the instance's Norm.
- getNorm() - Method in class weka.core.pmml.jaxbbindings.LinearNorm
-
Gets the value of the norm property.
- getNormalizationMethod() - Method in class weka.core.pmml.jaxbbindings.NeuralLayer
-
Gets the value of the normalizationMethod property.
- getNormalizationMethod() - Method in class weka.core.pmml.jaxbbindings.NeuralNetwork
-
Gets the value of the normalizationMethod property.
- getNormalizationMethod() - Method in class weka.core.pmml.jaxbbindings.Regression
-
Gets the value of the normalizationMethod property.
- getNormalizationMethod() - Method in class weka.core.pmml.jaxbbindings.RegressionModel
-
Gets the value of the normalizationMethod property.
- getNormalizationScheme() - Method in class weka.core.pmml.jaxbbindings.TestDistributions
-
Gets the value of the normalizationScheme property.
- getNormalize() - Method in class weka.core.DictionaryBuilder
-
Get whether word frequencies for a document should be normalized
- getNormalizeAttributes() - Method in class weka.classifiers.functions.MultilayerPerceptron
-
- getNormalizedCountTable() - Method in class weka.core.pmml.jaxbbindings.Baseline
-
Gets the value of the normalizedCountTable property.
- getNormalizeDimWidths() - Method in class weka.core.neighboursearch.balltrees.MedianOfWidestDimension
-
Whether we are normalizing the widths(ranges) of the dimensions
(attributes) or not.
- getNormalizeDocLength() - Method in class weka.classifiers.bayes.NaiveBayesMultinomialText
-
Get whether to normalize the length of each document
- getNormalizeDocLength() - Method in class weka.classifiers.functions.SGDText
-
Get whether to normalize the length of each document
- getNormalizeDocLength() - Method in class weka.filters.unsupervised.attribute.FixedDictionaryStringToWordVector
-
Gets whether if the word frequencies for a document (instance) should be
normalized or not.
- getNormalizeDocLength() - Method in class weka.filters.unsupervised.attribute.StringToWordVector
-
Gets whether if the word frequencies for a document (instance) should be
normalized or not.
- getNormalizeNodeWidth() - Method in class weka.core.neighboursearch.KDTree
-
Gets the normalize flag.
- getNormalizeNumericClass() - Method in class weka.classifiers.functions.MultilayerPerceptron
-
- getNormContinuous() - Method in class weka.core.pmml.jaxbbindings.DefineFunction
-
Gets the value of the normContinuous property.
- getNormContinuous() - Method in class weka.core.pmml.jaxbbindings.DerivedField
-
Gets the value of the normContinuous property.
- getNormContinuous() - Method in class weka.core.pmml.jaxbbindings.OutputField
-
Gets the value of the normContinuous property.
- getNormDiscrete() - Method in class weka.core.pmml.jaxbbindings.DefineFunction
-
Gets the value of the normDiscrete property.
- getNormDiscrete() - Method in class weka.core.pmml.jaxbbindings.DerivedField
-
Gets the value of the normDiscrete property.
- getNormDiscrete() - Method in class weka.core.pmml.jaxbbindings.OutputField
-
Gets the value of the normDiscrete property.
- getNoSizeDetermination() - Method in class weka.experiment.ClassifierSplitEvaluator
-
Returns whether the size determination (train/test/classifer) is skipped.
- getNoSizeDetermination() - Method in class weka.experiment.DensityBasedClustererSplitEvaluator
-
Returns whether the size determination (train/test/clusterer) is skipped.
- getNoSizeDetermination() - Method in class weka.experiment.RegressionSplitEvaluator
-
Returns whether the size determination (train/test/classifer) is skipped.
- getNot() - Method in class weka.datagenerators.Test
-
Negates the test.
- getNotCapabilities() - Method in class weka.core.FindWithCapabilities
-
The "not to have" capabilities to search for.
- getNotes() - Method in class weka.experiment.Experiment
-
Get the user notes.
- getNoteText() - Method in class weka.gui.beans.Note
-
Get the note text
- getNoteText() - Method in class weka.knowledgeflow.steps.Note
-
Get the text of the note
- getNoTrueChildStrategy() - Method in class weka.core.pmml.jaxbbindings.DecisionTree
-
Gets the value of the noTrueChildStrategy property.
- getNoTrueChildStrategy() - Method in class weka.core.pmml.jaxbbindings.TreeModel
-
Gets the value of the noTrueChildStrategy property.
- getNPointPrecision(Instances, int) - Static method in class weka.classifiers.evaluation.ThresholdCurve
-
Calculates the n point precision result, which is the precision averaged
over n evenly spaced (w.r.t recall) samples of the curve.
- getNrOfGoodOperations() - Method in class weka.classifiers.bayes.net.search.local.LAGDHillClimber
-
Gets the number of "good operations"
- getNrOfLookAheadSteps() - Method in class weka.classifiers.bayes.net.search.local.LAGDHillClimber
-
Gets the number of look-ahead steps
- getNrOfNodes() - Method in class weka.classifiers.bayes.BayesNet
-
get number of nodes in the Bayes network
- getNrOfParents(int) - Method in class weka.classifiers.bayes.BayesNet
-
get number of parents of a node in the network structure
- getNrOfParents() - Method in class weka.classifiers.bayes.net.ParentSet
-
returns number of parents
- getNumArcs() - Method in class weka.datagenerators.classifiers.classification.BayesNet
-
Gets the number of arcs for the bayesian net
- getNUMARRAY() - Method in class weka.core.pmml.jaxbbindings.ContStats
-
Gets the value of the numarray property.
- getNUMARRAY() - Method in class weka.core.pmml.jaxbbindings.Matrix
-
Gets the value of the numarray property.
- getNUMARRAY() - Method in class weka.core.pmml.jaxbbindings.PartitionFieldStats
-
Gets the value of the numarray property.
- getNumAttributes() - Method in class weka.core.TestInstances
-
returns the overall number of attributes (incl.
- getNumAttributes() - Method in class weka.datagenerators.classifiers.classification.BayesNet
-
Gets the number of attributes that should be produced.
- getNumAttributes() - Method in class weka.datagenerators.classifiers.classification.RandomRBF
-
Gets the number of attributes that should be produced.
- getNumAttributes() - Method in class weka.datagenerators.classifiers.classification.RDG1
-
Gets the number of attributes that should be produced.
- getNumAttributes() - Method in class weka.datagenerators.ClusterGenerator
-
Gets the number of attributes that should be produced.
- getNumAttributes() - Method in class weka.filters.unsupervised.attribute.RandomSubset
-
Get the number of attributes (< 1 percentage, >= 1 absolute number).
- getNumberOfAttributes() - Method in class weka.core.pmml.jaxbbindings.SupportVectors
-
Gets the value of the numberOfAttributes property.
- getNumberOfAttributes() - Method in class weka.filters.unsupervised.attribute.RandomProjection
-
Gets the current number of attributes (dimensionality) to which the data
will be reduced to.
- getNumberOfClusters() - Method in class weka.core.pmml.jaxbbindings.ClusteringModel
-
Gets the value of the numberOfClusters property.
- getNumberOfCoefficients() - Method in class weka.core.pmml.jaxbbindings.Coefficients
-
Gets the value of the numberOfCoefficients property.
- getNumberOfDocuments() - Method in class weka.core.pmml.jaxbbindings.TextModel
-
Gets the value of the numberOfDocuments property.
- getNumberOfFields() - Method in class weka.core.pmml.jaxbbindings.DataDictionary
-
Gets the value of the numberOfFields property.
- getNumberOfFields() - Method in class weka.core.pmml.jaxbbindings.VectorFields
-
Gets the value of the numberOfFields property.
- getNumberOfInputs() - Method in class weka.core.pmml.jaxbbindings.NeuralInputs
-
Gets the value of the numberOfInputs property.
- getNumberOfItems() - Method in class weka.core.pmml.jaxbbindings.AssociationModel
-
Gets the value of the numberOfItems property.
- getNumberOfItems() - Method in class weka.core.pmml.jaxbbindings.Itemset
-
Gets the value of the numberOfItems property.
- getNumberOfItemsets() - Method in class weka.core.pmml.jaxbbindings.AssociationModel
-
Gets the value of the numberOfItemsets property.
- getNumberOfLayers() - Method in class weka.core.pmml.jaxbbindings.NeuralNetwork
-
Gets the value of the numberOfLayers property.
- getNumberOfMetricsForRule() - Method in class weka.associations.AssociationRule
-
Gets the number of metrics available for this rule.
- getNumberOfMetricsForRule() - Method in class weka.associations.DefaultAssociationRule
-
- getNumberOfNeighbors() - Method in class weka.core.pmml.jaxbbindings.NearestNeighborModel
-
Gets the value of the numberOfNeighbors property.
- getNumberOfNeurons() - Method in class weka.core.pmml.jaxbbindings.NeuralLayer
-
Gets the value of the numberOfNeurons property.
- getNumberOfOutputs() - Method in class weka.core.pmml.jaxbbindings.NeuralOutputs
-
Gets the value of the numberOfOutputs property.
- getNumberOfRules() - Method in class weka.core.pmml.jaxbbindings.AssociationModel
-
Gets the value of the numberOfRules property.
- getNumberOfSets() - Method in class weka.core.pmml.jaxbbindings.Sequence
-
Gets the value of the numberOfSets property.
- getNumberOfSets() - Method in class weka.core.pmml.jaxbbindings.SequenceRule
-
Gets the value of the numberOfSets property.
- getNumberOfSupportVectors() - Method in class weka.core.pmml.jaxbbindings.SupportVectors
-
Gets the value of the numberOfSupportVectors property.
- getNumberOfTerms() - Method in class weka.core.pmml.jaxbbindings.TextModel
-
Gets the value of the numberOfTerms property.
- getNumberOfTransactionGroups() - Method in class weka.core.pmml.jaxbbindings.SequenceModel
-
Gets the value of the numberOfTransactionGroups property.
- getNumberOfTransactions() - Method in class weka.core.pmml.jaxbbindings.AssociationModel
-
Gets the value of the numberOfTransactions property.
- getNumberOfTransactions() - Method in class weka.core.pmml.jaxbbindings.SequenceModel
-
Gets the value of the numberOfTransactions property.
- getNumberOfVectors() - Method in class weka.core.pmml.jaxbbindings.VectorDictionary
-
Gets the value of the numberOfVectors property.
- getNumBins() - Method in class weka.classifiers.meta.RegressionByDiscretization
-
Gets the number of bins numeric attributes will be divided into
- getNumBins() - Method in class weka.classifiers.trees.ht.GaussianConditionalSufficientStats
-
- getNumBins() - Method in class weka.estimators.UnivariateEqualFrequencyHistogramEstimator
-
Gets the number of bins
- getNumBoostingIterations() - Method in class weka.classifiers.functions.SimpleLogistic
-
Get the value of numBoostingIterations.
- getNumBoostingIterations() - Method in class weka.classifiers.trees.LMT
-
Get the value of numBoostingIterations.
- getNumBootstrapRuns() - Method in class weka.estimators.UnivariateMixtureEstimator
-
Returns the number of Bootstrap runs.
- getNumCentroids() - Method in class weka.datagenerators.classifiers.classification.RandomRBF
-
Gets the number of centroids.
- getNumClasses() - Method in class weka.core.TestInstances
-
returns the current number of classes
- getNumClasses() - Method in class weka.datagenerators.classifiers.classification.RandomRBF
-
Gets the number of classes the dataset should have.
- getNumClasses() - Method in class weka.datagenerators.classifiers.classification.RDG1
-
Gets the number of classes the dataset should have.
- getNumClusters() - Method in class weka.attributeSelection.UnsupervisedSubsetEvaluator
-
Return the number of clusters used by the subset evaluator
- getNumClusters() - Method in class weka.clusterers.Canopy
-
Get the number of clusters to generate
- getNumClusters() - Method in class weka.clusterers.ClusterEvaluation
-
Return the number of clusters found for the most recent call to
evaluateClusterer
- getNumClusters() - Method in class weka.clusterers.EM
-
Get the number of clusters
- getNumClusters() - Method in class weka.clusterers.FarthestFirst
-
gets the number of clusters to generate
- getNumClusters() - Method in class weka.clusterers.HierarchicalClusterer
-
- getNumClusters() - Method in class weka.clusterers.SimpleKMeans
-
gets the number of clusters to generate.
- getNumClusters() - Method in class weka.datagenerators.clusterers.BIRCHCluster
-
Gets the number of clusters the dataset should have.
- getNumComponents() - Method in class weka.estimators.UnivariateMixtureEstimator
-
Returns the number of components to use.
- getNumCVFolds() - Method in class weka.gui.explorer.ClassifierPanel
-
Get the number of cross-validation folds to use
- getNumCycles() - Method in class weka.datagenerators.clusterers.BIRCHCluster
-
Gets the number of cycles.
- getNumDatasets() - Method in class weka.experiment.PairedTTester
-
Gets the number of datasets in the resultsets
- getNumDatasets() - Method in interface weka.experiment.Tester
-
Gets the number of datasets in the resultsets
- getNumDate() - Method in class weka.core.CheckScheme
-
returns the current number of date attributes
- getNumDate() - Method in class weka.core.TestInstances
-
returns the current number of date attributes
- getNumDecimalPlaces() - Method in class weka.classifiers.AbstractClassifier
-
Get the number of decimal places.
- getNumDecimalPlaces() - Method in class weka.classifiers.trees.m5.Rule
-
Get the number of decimal places.
- getNumDecimals() - Method in class weka.classifiers.evaluation.output.prediction.AbstractOutput
-
Returns the number of digits to output after the decimal point.
- getNumeric() - Method in class weka.filters.unsupervised.attribute.MakeIndicator
-
Check if new attribute is to be numeric.
- getNumericAttributes() - Method in class weka.core.converters.CSVLoader
-
Gets the attribute range to be forced to type numeric
- getNumericColumns() - Method in class weka.gui.sql.ResultSetHelper
-
returns an array that indicates whether a column is numeric or nor.
- getNumericInfo() - Method in class weka.core.pmml.jaxbbindings.PartitionFieldStats
-
Gets the value of the numericInfo property.
- getNumericInfo() - Method in class weka.core.pmml.jaxbbindings.UnivariateStats
-
Gets the value of the numericInfo property.
- getNumericPredictors() - Method in class weka.core.pmml.jaxbbindings.RegressionTable
-
Gets the value of the numericPredictor property.
- getNumericReplacementValue() - Method in class weka.filters.unsupervised.attribute.ReplaceMissingWithUserConstant
-
Get the numeric replacement value
- getNumericValue() - Method in class weka.filters.unsupervised.attribute.AddUserFields.AttributeSpec
-
Get the value of the attribute as a number or Utils.missingValue() if the
attribute is not numeric.
- getNumExamples() - Method in class weka.datagenerators.ClassificationGenerator
-
Gets the number of examples, given by option.
- getNumExamples() - Method in class weka.datagenerators.classifiers.classification.BayesNet
-
Gets the number of examples, given by option.
- getNumExamples() - Method in class weka.datagenerators.RegressionGenerator
-
Gets the number of examples, given by option.
- getNumExamplesAct() - Method in class weka.datagenerators.DataGenerator
-
Gets the number of examples the dataset should have.
- getNumExecutionSlots() - Method in class weka.attributeSelection.GreedyStepwise
-
Gets the number of threads.
- getNumExecutionSlots() - Method in class weka.classifiers.ParallelIteratedSingleClassifierEnhancer
-
Get the number of execution slots (threads) to use for building the members
of the ensemble.
- getNumExecutionSlots() - Method in class weka.classifiers.ParallelMultipleClassifiersCombiner
-
Get the number of execution slots (threads) to use for building
the members of the ensemble.
- getNumExecutionSlots() - Method in class weka.clusterers.EM
-
Get the degree of parallelism to use.
- getNumExecutionSlots() - Method in class weka.clusterers.SimpleKMeans
-
Get the degree of parallelism to use.
- getNumFeatures() - Method in class weka.classifiers.trees.RandomForest
-
Get the number of features used in random selection.
- getNumFiles() - Method in class weka.core.Debug.Log
-
returns the number of files being used
- getNumFolds() - Method in class weka.classifiers.functions.SMO
-
Get the value of numFolds.
- getNumFolds() - Method in class weka.classifiers.meta.CVParameterSelection
-
Gets the number of folds for the cross-validation.
- getNumFolds() - Method in class weka.classifiers.meta.IterativeClassifierOptimizer
-
Get the value of NumFolds.
- getNumFolds() - Method in class weka.classifiers.meta.MultiScheme
-
Gets the number of folds for cross-validation.
- getNumFolds() - Method in class weka.classifiers.meta.Stacking
-
Gets the number of folds for the cross-validation.
- getNumFolds() - Method in class weka.classifiers.rules.PART
-
Get the value of numFolds.
- getNumFolds() - Method in class weka.classifiers.trees.J48
-
Get the value of numFolds.
- getNumFolds() - Method in class weka.classifiers.trees.RandomTree
-
Get the value of NumFolds.
- getNumFolds() - Method in class weka.classifiers.trees.REPTree
-
Get the value of NumFolds.
- getNumFolds() - Method in class weka.clusterers.EM
-
Get the number of folds to use when cross-validating to find the best
number of clusters.
- getNumFolds() - Method in class weka.experiment.CrossValidationResultProducer
-
Get the value of NumFolds.
- getNumFolds() - Method in class weka.filters.supervised.instance.StratifiedRemoveFolds
-
Gets the number of folds in which dataset is to be split into.
- getNumFolds() - Method in class weka.filters.unsupervised.instance.RemoveFolds
-
Gets the number of folds in which dataset is to be split into.
- getNumFolds() - Method in class weka.filters.unsupervised.instance.RemoveMisclassified
-
Gets the number of cross-validation folds used by the filter.
- getNumFolds() - Method in class weka.knowledgeflow.steps.CrossValidationFoldMaker
-
Get the number of folds to create
- getNumGeneratingModels() - Method in interface weka.gui.boundaryvisualizer.DataGenerator
-
Returns the number of generating models used by this DataGenerator
- getNumGeneratingModels() - Method in class weka.gui.boundaryvisualizer.KDDataGenerator
-
Return the number of kernels (there is one per training instance)
- getNumInnerNodes() - Method in class weka.classifiers.trees.lmt.LMTNode
-
Method to count the number of inner nodes in the tree
- getNumInputs() - Method in class weka.classifiers.functions.neural.NeuralConnection
-
- getNumInstances() - Method in class weka.classifiers.bayes.BayesNet
-
Returns the number of instances the model was built from.
- getNumInstances() - Method in class weka.classifiers.trees.m5.RuleNode
-
Return the number of instances that reach this node.
- getNumInstances() - Method in class weka.core.CheckScheme
-
Gets the current number of instances to use for the datasets.
- getNumInstances() - Method in class weka.core.TestInstances
-
returns the current number of instances to produce
- getNumInstances() - Method in class weka.datagenerators.clusterers.SubspaceClusterDefinition
-
- getNumInstances() - Method in class weka.estimators.CheckEstimator
-
Gets the current number of instances to use for the datasets.
- getNumInstancesRelational() - Method in class weka.core.CheckScheme
-
returns the current number of instances in relational/bag attributes to produce
- getNumInstancesRelational() - Method in class weka.core.TestInstances
-
returns the current number of instances in relational/bag attributes to
produce
- getNumIntervals() - Method in class weka.filters.supervised.instance.ClassBalancer
-
Gets the number of discretization intervals to use when the class is numeric.
- getNumIrrelevant() - Method in class weka.datagenerators.classifiers.classification.RDG1
-
Gets the number of irrelevant attributes.
- getNumIterations() - Method in class weka.classifiers.functions.VotedPerceptron
-
Get the value of NumIterations.
- getNumIterations() - Method in class weka.classifiers.IteratedSingleClassifierEnhancer
-
Gets the number of bagging iterations
- getNumKernels() - Method in class weka.estimators.KernelEstimator
-
Return the number of kernels in this kernel estimator
- getNumKMeansRuns() - Method in class weka.clusterers.EM
-
Returns the number of runs of k-means to perform.
- getNumLeaves() - Method in class weka.classifiers.trees.lmt.LMTNode
-
Returns the number of leaves in the tree.
- getNumLeaves() - Method in class weka.core.neighboursearch.balltrees.BallTreeConstructor
-
Returns the number of leaves in the built tree.
- getNumLocationsPerPixel() - Method in class weka.knowledgeflow.steps.BoundaryPlotter
-
Get the number of locations/samples per pixel
- getNumNeighbours() - Method in class weka.attributeSelection.ReliefFAttributeEval
-
Get the number of nearest neighbours
- getNumNodes() - Method in class weka.core.neighboursearch.balltrees.BallTreeConstructor
-
Returns the number of nodes (internal + leaf) in the built tree.
- getNumNominal() - Method in class weka.core.CheckScheme
-
returns the current number of nominal attributes
- getNumNominal() - Method in class weka.core.TestInstances
-
returns the current number of nominal attributes
- getNumNominalValues() - Method in class weka.core.TestInstances
-
returns the current number of values for nominal attributes
- getNumNumeric() - Method in class weka.core.CheckScheme
-
returns the current number of numeric attributes
- getNumNumeric() - Method in class weka.core.TestInstances
-
returns the current number of numeric attributes
- getNumNumeric() - Method in class weka.datagenerators.classifiers.classification.RDG1
-
Gets the number of numerical attributes.
- getNumOfPredictors() - Method in class weka.core.pmml.jaxbbindings.PredictiveModelQuality
-
Gets the value of the numOfPredictors property.
- getNumOfRecords() - Method in class weka.core.pmml.jaxbbindings.PredictiveModelQuality
-
Gets the value of the numOfRecords property.
- getNumOfRecordsWeighted() - Method in class weka.core.pmml.jaxbbindings.PredictiveModelQuality
-
Gets the value of the numOfRecordsWeighted property.
- getNumOutputs() - Method in class weka.classifiers.functions.neural.NeuralConnection
-
- getNumQueries() - Method in class weka.core.neighboursearch.PerformanceStats
-
Returns the number of queries.
- getNumRegressions() - Method in class weka.classifiers.functions.SimpleLogistic
-
Get the number of LogitBoost iterations performed (= the number of
regression functions fit by LogitBoost).
- getNumRegressions() - Method in class weka.classifiers.trees.lmt.LogisticBase
-
The number of LogitBoost iterations performed (= the number of simple
regression functions fit).
- getNumRelational() - Method in class weka.core.CheckScheme
-
returns the current number of relational attributes
- getNumRelational() - Method in class weka.core.TestInstances
-
returns the current number of relational attributes
- getNumRelationalDate() - Method in class weka.core.TestInstances
-
returns the current number of date attributes in a relational attribute
- getNumRelationalNominal() - Method in class weka.core.TestInstances
-
returns the current number of nominal attributes in a relational attribute
- getNumRelationalNominalValues() - Method in class weka.core.TestInstances
-
returns the current number of values for nominal attributes in a relational
attribute
- getNumRelationalNumeric() - Method in class weka.core.TestInstances
-
returns the current number of numeric attributes in a relational attribute
- getNumRelationalString() - Method in class weka.core.TestInstances
-
returns the current number of string attributes in a relational attribute
- getNumResultsets() - Method in class weka.experiment.PairedTTester
-
Gets the number of resultsets in the data.
- getNumResultsets() - Method in interface weka.experiment.Tester
-
Gets the number of resultsets in the data.
- getNumRules() - Method in class weka.associations.Apriori
-
Get the value of numRules.
- getNumRules() - Method in class weka.associations.AssociationRules
-
Get the number of rules.
- getNumRules() - Method in class weka.associations.FilteredAssociationRules
-
Get the number of rules.
- getNumRulesToFind() - Method in class weka.associations.FPGrowth
-
Get the number of rules to find.
- getNumRuns() - Method in class weka.classifiers.meta.IterativeClassifierOptimizer
-
Get the value of NumRuns.
- getNumSamplesPerRegion() - Method in class weka.gui.boundaryvisualizer.BoundaryPanel
-
Get the number of points to sample from a region (fixed dimensions).
- getNumString() - Method in class weka.core.CheckScheme
-
returns the current number of string attributes
- getNumString() - Method in class weka.core.TestInstances
-
returns the current number of string attributes
- getNumSymbols() - Method in class weka.classifiers.bayes.net.estimate.DiscreteEstimatorBayes
-
Gets the number of symbols this estimator operates with
- getNumSymbols() - Method in class weka.estimators.DiscreteEstimator
-
Gets the number of symbols this estimator operates with
- getNumTabs() - Method in class weka.gui.beans.KnowledgeFlowApp.MainKFPerspective
-
- getNumTabs() - Method in class weka.gui.knowledgeflow.MainKFPerspective
-
Get the number of open tabs
- getNumThreads() - Method in class weka.attributeSelection.CfsSubsetEval
-
Gets the number of threads.
- getNumThreads() - Method in class weka.classifiers.meta.IterativeClassifierOptimizer
-
Gets the number of threads.
- getNumThreads() - Method in class weka.classifiers.meta.LogitBoost
-
Gets the number of threads.
- getNumToEvaluateInParallel() - Method in class weka.attributeSelection.ClassifierAttributeEval
-
Get the number of attributes to evaluate in parallel
- getNumToSelect() - Method in class weka.attributeSelection.GreedyStepwise
-
Gets the number of attributes to be retained.
- getNumToSelect() - Method in interface weka.attributeSelection.RankedOutputSearch
-
Gets the user specified number of attributes to be retained.
- getNumToSelect() - Method in class weka.attributeSelection.Ranker
-
Gets the number of attributes to be retained.
- getNumTraining() - Method in class weka.classifiers.lazy.IBk
-
Get the number of training instances the classifier is currently using.
- getNumValues() - Method in class weka.datagenerators.clusterers.SubspaceCluster
-
returns array that stores the number of values for a nominal attribute.
- getNumValues() - Method in class weka.filters.unsupervised.instance.RemoveFrequentValues
-
Gets how many values are retained
- getObject() - Method in class weka.core.CheckGOE
-
Get the object used in the tests.
- getObject() - Method in class weka.core.SerializedObject
-
Returns a serialized object.
- getObjectInputStream(InputStream) - Static method in class weka.core.SerializationHelper
-
Get a (Weka package classloader aware) ObjectInputStream
instance
for reading objects from the supplied input stream
- getOccurrence() - Method in class weka.core.pmml.jaxbbindings.Sequence
-
Gets the value of the occurrence property.
- getOccurrence() - Method in class weka.core.pmml.jaxbbindings.SequenceRule
-
Gets the value of the occurrence property.
- getOffDiagDefault() - Method in class weka.core.pmml.jaxbbindings.Matrix
-
Gets the value of the offDiagDefault property.
- getOffscreenAdditionalOpts() - Method in class weka.gui.beans.DataVisualizer
-
Get the additional options for the offscreen renderer
- getOffscreenAdditionalOpts() - Method in class weka.gui.beans.ModelPerformanceChart
-
Get the additional options for the offscreen renderer
- getOffscreenAdditionalOpts() - Method in class weka.knowledgeflow.steps.AttributeSummarizer
-
Get the additional options for the offscreen renderer
- getOffscreenAdditionalOpts() - Method in class weka.knowledgeflow.steps.DataVisualizer
-
Get the additional options for the offscreen renderer
- getOffscreenAdditionalOpts() - Method in class weka.knowledgeflow.steps.ModelPerformanceChart
-
Get the additional options for the offscreen renderer
- getOffscreenHeight() - Method in class weka.gui.beans.DataVisualizer
-
Get the height (in pixels) of the offscreen image to generate
- getOffscreenHeight() - Method in class weka.gui.beans.ModelPerformanceChart
-
Get the height (in pixels) of the offscreen image to generate
- getOffscreenHeight() - Method in class weka.knowledgeflow.steps.AttributeSummarizer
-
Get the height (in pixels) of the offscreen image to generate
- getOffscreenHeight() - Method in class weka.knowledgeflow.steps.DataVisualizer
-
Get the height (in pixels) of the offscreen image to generate
- getOffscreenHeight() - Method in class weka.knowledgeflow.steps.ModelPerformanceChart
-
Get the height (in pixels) of the offscreen image to generate
- getOffscreenRendererName() - Method in class weka.gui.beans.DataVisualizer
-
Get the name of the renderer to use for offscreen chart rendering
operations
- getOffscreenRendererName() - Method in class weka.gui.beans.ModelPerformanceChart
-
Get the name of the renderer to use for offscreen chart rendering
operations
- getOffscreenRendererName() - Method in class weka.knowledgeflow.steps.AttributeSummarizer
-
Get the name of the renderer to use for offscreen chart rendering
operations
- getOffscreenRendererName() - Method in class weka.knowledgeflow.steps.DataVisualizer
-
Get the name of the renderer to use for offscreen chart rendering
operations
- getOffscreenRendererName() - Method in class weka.knowledgeflow.steps.ModelPerformanceChart
-
Get the name of the renderer to use for offscreen chart rendering
operations
- getOffscreenWidth() - Method in class weka.gui.beans.DataVisualizer
-
Get the width (in pixels) of the offscreen image to generate.
- getOffscreenWidth() - Method in class weka.gui.beans.ModelPerformanceChart
-
Get the width (in pixels) of the offscreen image to generate.
- getOffscreenWidth() - Method in class weka.knowledgeflow.steps.AttributeSummarizer
-
Get the width (in pixels) of the offscreen image to generate.
- getOffscreenWidth() - Method in class weka.knowledgeflow.steps.DataVisualizer
-
Get the width (in pixels) of the offscreen image to generate.
- getOffscreenWidth() - Method in class weka.knowledgeflow.steps.ModelPerformanceChart
-
Get the width (in pixels) of the offscreen image to generate.
- getOffscreenXAxis() - Method in class weka.gui.beans.DataVisualizer
-
Get the name of the attribute for the x-axis in offscreen plots
- getOffscreenXAxis() - Method in class weka.gui.beans.ModelPerformanceChart
-
Get the name of the attribute for the x-axis in offscreen plots
- getOffscreenXAxis() - Method in class weka.knowledgeflow.steps.AttributeSummarizer
-
Get the name of the attribute for the x-axis in offscreen plots
- getOffscreenXAxis() - Method in class weka.knowledgeflow.steps.DataVisualizer
-
Get the name of the attribute for the x-axis in offscreen plots
- getOffscreenXAxis() - Method in class weka.knowledgeflow.steps.ModelPerformanceChart
-
Get the name of the attribute for the x-axis in offscreen plots
- getOffscreenYAxis() - Method in class weka.gui.beans.DataVisualizer
-
Get the name of the attribute for the y-axix of offscreen plots.
- getOffscreenYAxis() - Method in class weka.gui.beans.ModelPerformanceChart
-
Get the name of the attribute for the y-axix of offscreen plots.
- getOffscreenYAxis() - Method in class weka.knowledgeflow.steps.DataVisualizer
-
Get the name of the attribute for the y-axix of offscreen plots.
- getOffscreenYAxis() - Method in class weka.knowledgeflow.steps.ModelPerformanceChart
-
Get the name of the attribute for the y-axix of offscreen plots.
- getOffset() - Method in class weka.core.pmml.jaxbbindings.TimeAnchor
-
Gets the value of the offset property.
- getOffsetValue() - Method in class weka.core.pmml.jaxbbindings.GeneralRegressionModel
-
Gets the value of the offsetValue property.
- getOffsetVariable() - Method in class weka.core.pmml.jaxbbindings.GeneralRegressionModel
-
Gets the value of the offsetVariable property.
- getOmega() - Method in class weka.classifiers.functions.supportVector.Puk
-
Gets the omega value.
- getOnDemandDirectory() - Method in class weka.classifiers.meta.CostSensitiveClassifier
-
Returns the directory that will be searched for cost files when
loading on demand.
- getOnDemandDirectory() - Method in class weka.experiment.CostSensitiveClassifierSplitEvaluator
-
Returns the directory that will be searched for cost files when loading on
demand.
- getOperator() - Method in class weka.core.pmml.jaxbbindings.SetPredicate
-
Gets the value of the operator property.
- getOperator() - Method in class weka.core.pmml.jaxbbindings.SimplePredicate
-
Gets the value of the operator property.
- getOperator() - Method in class weka.knowledgeflow.steps.FlowByExpression.ExpressionClause
-
Get the operator
- getOptimizations() - Method in class weka.classifiers.rules.JRip
-
Gets the the number of optimization runs
- getOptimumLiftGraph() - Method in class weka.core.pmml.jaxbbindings.LiftData
-
Gets the value of the optimumLiftGraph property.
- getOption(char, String[]) - Static method in class weka.core.Utils
-
Gets an option indicated by a flag "-Char" from the given array of strings.
- getOption(String, String[]) - Static method in class weka.core.Utils
-
Gets an option indicated by a flag "-String" from the given array of
strings.
- getOptionHandler() - Method in class weka.core.CheckOptionHandler
-
Get the OptionHandler used in the tests.
- getOptionPos(char, String[]) - Static method in class weka.core.Utils
-
Gets the index of an option or flag indicated by a flag "-Char" from the
given array of strings.
- getOptionPos(String, String[]) - Static method in class weka.core.Utils
-
Gets the index of an option or flag indicated by a flag "-String" from the
given array of strings.
- getOptions() - Method in class weka.associations.AbstractAssociator
-
Gets the current settings of the associator
- getOptions() - Method in class weka.associations.Apriori
-
Gets the current settings of the Apriori object.
- getOptions() - Method in class weka.associations.CheckAssociator
-
Gets the current settings of the CheckAssociator.
- getOptions() - Method in class weka.associations.FilteredAssociator
-
Gets the current settings of the Associator.
- getOptions() - Method in class weka.associations.FPGrowth
-
Gets the current settings of the classifier.
- getOptions() - Method in class weka.associations.SingleAssociatorEnhancer
-
Gets the current settings of the associator.
- getOptions() - Method in class weka.attributeSelection.ASEvaluation
-
Gets the current settings of the evaluator.
- getOptions() - Method in class weka.attributeSelection.ASSearch
-
Gets the current settings of the search.
- getOptions() - Method in class weka.attributeSelection.BestFirst
-
Gets the current settings of BestFirst.
- getOptions() - Method in class weka.attributeSelection.CfsSubsetEval
-
Gets the current settings of CfsSubsetEval
- getOptions() - Method in class weka.attributeSelection.CheckAttributeSelection
-
Gets the current settings of the CheckAttributeSelection.
- getOptions() - Method in class weka.attributeSelection.ClassifierAttributeEval
-
returns the current setup.
- getOptions() - Method in class weka.attributeSelection.ClassifierSubsetEval
-
Gets the current settings of ClassifierSubsetEval
- getOptions() - Method in class weka.attributeSelection.CorrelationAttributeEval
-
Gets the current settings of WrapperSubsetEval.
- getOptions() - Method in class weka.attributeSelection.GainRatioAttributeEval
-
Gets the current settings of WrapperSubsetEval.
- getOptions() - Method in class weka.attributeSelection.GreedyStepwise
-
Gets the current settings of ReliefFAttributeEval.
- getOptions() - Method in class weka.attributeSelection.InfoGainAttributeEval
-
Gets the current settings of WrapperSubsetEval.
- getOptions() - Method in class weka.attributeSelection.OneRAttributeEval
-
returns the current setup.
- getOptions() - Method in class weka.attributeSelection.PrincipalComponents
-
Gets the current settings of PrincipalComponents
- getOptions() - Method in class weka.attributeSelection.Ranker
-
Gets the current settings of ReliefFAttributeEval.
- getOptions() - Method in class weka.attributeSelection.ReliefFAttributeEval
-
Gets the current settings of ReliefFAttributeEval.
- getOptions() - Method in class weka.attributeSelection.SymmetricalUncertAttributeEval
-
Gets the current settings of WrapperSubsetEval.
- getOptions() - Method in class weka.attributeSelection.WrapperSubsetEval
-
Gets the current settings of WrapperSubsetEval.
- getOptions() - Method in class weka.classifiers.AbstractClassifier
-
Gets the current settings of the Classifier.
- getOptions() - Method in class weka.classifiers.bayes.BayesNet
-
Gets the current settings of the classifier.
- getOptions() - Method in class weka.classifiers.bayes.NaiveBayes
-
Gets the current settings of the classifier.
- getOptions() - Method in class weka.classifiers.bayes.NaiveBayesMultinomialText
-
Gets the current settings of the classifier.
- getOptions() - Method in class weka.classifiers.bayes.net.BayesNetGenerator
-
Gets the current settings of the classifier.
- getOptions() - Method in class weka.classifiers.bayes.net.estimate.BayesNetEstimator
-
Gets the current settings of the classifier.
- getOptions() - Method in class weka.classifiers.bayes.net.estimate.BMAEstimator
-
Gets the current settings of the classifier.
- getOptions() - Method in class weka.classifiers.bayes.net.estimate.MultiNomialBMAEstimator
-
Gets the current settings of the classifier.
- getOptions() - Method in class weka.classifiers.bayes.net.search.ci.ICSSearchAlgorithm
-
Gets the current settings of the Classifier.
- getOptions() - Method in class weka.classifiers.bayes.net.search.fixed.FromFile
-
Gets the current settings of the search algorithm.
- getOptions() - Method in class weka.classifiers.bayes.net.search.global.GeneticSearch
-
Gets the current settings of the search algorithm.
- getOptions() - Method in class weka.classifiers.bayes.net.search.global.GlobalScoreSearchAlgorithm
-
Gets the current settings of the search algorithm.
- getOptions() - Method in class weka.classifiers.bayes.net.search.global.HillClimber
-
Gets the current settings of the search algorithm.
- getOptions() - Method in class weka.classifiers.bayes.net.search.global.K2
-
Gets the current settings of the search algorithm.
- getOptions() - Method in class weka.classifiers.bayes.net.search.global.RepeatedHillClimber
-
Gets the current settings of the search algorithm.
- getOptions() - Method in class weka.classifiers.bayes.net.search.global.SimulatedAnnealing
-
Gets the current settings of the search algorithm.
- getOptions() - Method in class weka.classifiers.bayes.net.search.global.TabuSearch
-
Gets the current settings of the search algorithm.
- getOptions() - Method in class weka.classifiers.bayes.net.search.global.TAN
-
Gets the current settings of the Classifier.
- getOptions() - Method in class weka.classifiers.bayes.net.search.local.GeneticSearch
-
Gets the current settings of the search algorithm.
- getOptions() - Method in class weka.classifiers.bayes.net.search.local.HillClimber
-
Gets the current settings of the search algorithm.
- getOptions() - Method in class weka.classifiers.bayes.net.search.local.K2
-
Gets the current settings of the search algorithm.
- getOptions() - Method in class weka.classifiers.bayes.net.search.local.LAGDHillClimber
-
Gets the current settings of the search algorithm.
- getOptions() - Method in class weka.classifiers.bayes.net.search.local.LocalScoreSearchAlgorithm
-
Gets the current settings of the search algorithm.
- getOptions() - Method in class weka.classifiers.bayes.net.search.local.RepeatedHillClimber
-
Gets the current settings of the search algorithm.
- getOptions() - Method in class weka.classifiers.bayes.net.search.local.SimulatedAnnealing
-
Gets the current settings of the search algorithm.
- getOptions() - Method in class weka.classifiers.bayes.net.search.local.TabuSearch
-
Gets the current settings of the search algorithm.
- getOptions() - Method in class weka.classifiers.bayes.net.search.local.TAN
-
Gets the current settings of the Classifier.
- getOptions() - Method in class weka.classifiers.bayes.net.search.SearchAlgorithm
-
Gets the current settings of the Classifier.
- getOptions() - Method in class weka.classifiers.BVDecompose
-
Gets the current settings of the CheckClassifier.
- getOptions() - Method in class weka.classifiers.BVDecomposeSegCVSub
-
Gets the current settings of the CheckClassifier.
- getOptions() - Method in class weka.classifiers.CheckClassifier
-
Gets the current settings of the CheckClassifier.
- getOptions() - Method in class weka.classifiers.CheckSource
-
Gets the current settings of the Classifier.
- getOptions() - Method in class weka.classifiers.evaluation.output.prediction.AbstractOutput
-
Gets the current option settings for the OptionHandler.
- getOptions() - Method in class weka.classifiers.evaluation.output.prediction.CSV
-
Gets the current option settings for the OptionHandler.
- getOptions() - Method in class weka.classifiers.functions.GaussianProcesses
-
Gets the current settings of the classifier.
- getOptions() - Method in class weka.classifiers.functions.LinearRegression
-
Gets the current settings of the classifier.
- getOptions() - Method in class weka.classifiers.functions.Logistic
-
Gets the current settings of the classifier.
- getOptions() - Method in class weka.classifiers.functions.MultilayerPerceptron
-
Gets the current settings of NeuralNet.
- getOptions() - Method in class weka.classifiers.functions.SGD
-
Gets the current settings of the classifier.
- getOptions() - Method in class weka.classifiers.functions.SGDText
-
Gets the current settings of the classifier.
- getOptions() - Method in class weka.classifiers.functions.SimpleLinearRegression
-
Gets the current settings of the classifier.
- getOptions() - Method in class weka.classifiers.functions.SimpleLogistic
-
Gets the current settings of the Classifier.
- getOptions() - Method in class weka.classifiers.functions.SMO
-
Gets the current settings of the classifier.
- getOptions() - Method in class weka.classifiers.functions.SMOreg
-
Gets the current settings of the classifier.
- getOptions() - Method in class weka.classifiers.functions.supportVector.CachedKernel
-
Gets the current settings of the Kernel.
- getOptions() - Method in class weka.classifiers.functions.supportVector.CheckKernel
-
Gets the current settings of the CheckKernel.
- getOptions() - Method in class weka.classifiers.functions.supportVector.Kernel
-
Gets the current settings of the Kernel.
- getOptions() - Method in class weka.classifiers.functions.supportVector.PolyKernel
-
Gets the current settings of the Kernel.
- getOptions() - Method in class weka.classifiers.functions.supportVector.PrecomputedKernelMatrixKernel
-
Gets the current settings of the Kernel.
- getOptions() - Method in class weka.classifiers.functions.supportVector.Puk
-
Gets the current settings of the Kernel.
- getOptions() - Method in class weka.classifiers.functions.supportVector.RegOptimizer
-
Gets the current settings of the classifier.
- getOptions() - Method in class weka.classifiers.functions.supportVector.RegSMO
-
Gets the current settings of the classifier.
- getOptions() - Method in class weka.classifiers.functions.supportVector.RegSMOImproved
-
Gets the current settings of the object.
- getOptions() - Method in class weka.classifiers.functions.supportVector.StringKernel
-
Gets the current settings of the Kernel.
- getOptions() - Method in class weka.classifiers.functions.VotedPerceptron
-
Gets the current settings of the classifier.
- getOptions() - Method in class weka.classifiers.IteratedSingleClassifierEnhancer
-
Gets the current settings of the classifier.
- getOptions() - Method in class weka.classifiers.lazy.IBk
-
Gets the current settings of IBk.
- getOptions() - Method in class weka.classifiers.lazy.KStar
-
Gets the current settings of K*.
- getOptions() - Method in class weka.classifiers.lazy.LWL
-
Gets the current settings of the classifier.
- getOptions() - Method in class weka.classifiers.meta.AdaBoostM1
-
Gets the current settings of the Classifier.
- getOptions() - Method in class weka.classifiers.meta.AdditiveRegression
-
Gets the current settings of the Classifier.
- getOptions() - Method in class weka.classifiers.meta.AttributeSelectedClassifier
-
Gets the current settings of the Classifier.
- getOptions() - Method in class weka.classifiers.meta.Bagging
-
Gets the current settings of the Classifier.
- getOptions() - Method in class weka.classifiers.meta.CostSensitiveClassifier
-
Gets the current settings of the Classifier.
- getOptions() - Method in class weka.classifiers.meta.CVParameterSelection
-
Gets the current settings of the Classifier.
- getOptions() - Method in class weka.classifiers.meta.FilteredClassifier
-
Gets the current settings of the Classifier.
- getOptions() - Method in class weka.classifiers.meta.IterativeClassifierOptimizer
-
Gets the current settings of the Classifier.
- getOptions() - Method in class weka.classifiers.meta.LogitBoost
-
Gets the current settings of the Classifier.
- getOptions() - Method in class weka.classifiers.meta.MultiClassClassifier
-
Gets the current settings of the Classifier.
- getOptions() - Method in class weka.classifiers.meta.MultiScheme
-
Gets the current settings of the Classifier.
- getOptions() - Method in class weka.classifiers.meta.RandomSubSpace
-
Gets the current settings of the Classifier.
- getOptions() - Method in class weka.classifiers.meta.RegressionByDiscretization
-
Gets the current settings of the Classifier.
- getOptions() - Method in class weka.classifiers.meta.Stacking
-
Gets the current settings of the Classifier.
- getOptions() - Method in class weka.classifiers.meta.Vote
-
Gets the current settings of Vote.
- getOptions() - Method in class weka.classifiers.meta.WeightedInstancesHandlerWrapper
-
Gets the current settings of the Classifier.
- getOptions() - Method in class weka.classifiers.misc.InputMappedClassifier
-
Gets the current settings of the Classifier.
- getOptions() - Method in class weka.classifiers.misc.SerializedClassifier
-
returns the options of the current setup
- getOptions() - Method in class weka.classifiers.MultipleClassifiersCombiner
-
Gets the current settings of the Classifier.
- getOptions() - Method in class weka.classifiers.ParallelIteratedSingleClassifierEnhancer
-
Gets the current settings of the classifier.
- getOptions() - Method in class weka.classifiers.ParallelMultipleClassifiersCombiner
-
Gets the current settings of the classifier.
- getOptions() - Method in class weka.classifiers.RandomizableClassifier
-
Gets the current settings of the classifier.
- getOptions() - Method in class weka.classifiers.RandomizableIteratedSingleClassifierEnhancer
-
Gets the current settings of the classifier.
- getOptions() - Method in class weka.classifiers.RandomizableMultipleClassifiersCombiner
-
Gets the current settings of the classifier.
- getOptions() - Method in class weka.classifiers.RandomizableParallelIteratedSingleClassifierEnhancer
-
Gets the current settings of the classifier.
- getOptions() - Method in class weka.classifiers.RandomizableParallelMultipleClassifiersCombiner
-
Gets the current settings of the classifier.
- getOptions() - Method in class weka.classifiers.RandomizableSingleClassifierEnhancer
-
Gets the current settings of the classifier.
- getOptions() - Method in class weka.classifiers.rules.DecisionTable
-
Gets the current settings of the classifier.
- getOptions() - Method in class weka.classifiers.rules.JRip
-
Gets the current settings of the Classifier.
- getOptions() - Method in class weka.classifiers.rules.OneR
-
Gets the current settings of the OneR classifier.
- getOptions() - Method in class weka.classifiers.rules.PART
-
Gets the current settings of the Classifier.
- getOptions() - Method in class weka.classifiers.SingleClassifierEnhancer
-
Gets the current settings of the Classifier.
- getOptions() - Method in class weka.classifiers.trees.HoeffdingTree
-
Gets the current settings of the Classifier.
- getOptions() - Method in class weka.classifiers.trees.J48
-
Gets the current settings of the Classifier.
- getOptions() - Method in class weka.classifiers.trees.LMT
-
Gets the current settings of the Classifier.
- getOptions() - Method in class weka.classifiers.trees.m5.M5Base
-
Gets the current settings of the classifier.
- getOptions() - Method in class weka.classifiers.trees.M5P
-
Gets the current settings of the classifier.
- getOptions() - Method in class weka.classifiers.trees.RandomForest
-
Gets the current settings of the forest.
- getOptions() - Method in class weka.classifiers.trees.RandomTree
-
Gets options from this classifier.
- getOptions() - Method in class weka.classifiers.trees.REPTree
-
Gets options from this classifier.
- getOptions() - Method in class weka.clusterers.AbstractClusterer
-
Gets the current settings of the clusterer.
- getOptions() - Method in class weka.clusterers.Canopy
-
Gets the current settings of Canopy.
- getOptions() - Method in class weka.clusterers.CheckClusterer
-
Gets the current settings of the CheckClusterer.
- getOptions() - Method in class weka.clusterers.Cobweb
-
Gets the current settings of Cobweb.
- getOptions() - Method in class weka.clusterers.EM
-
Gets the current settings of EM.
- getOptions() - Method in class weka.clusterers.FarthestFirst
-
Gets the current settings of FarthestFirst
- getOptions() - Method in class weka.clusterers.FilteredClusterer
-
Gets the current settings of the clusterer.
- getOptions() - Method in class weka.clusterers.HierarchicalClusterer
-
Gets the current settings of the clusterer.
- getOptions() - Method in class weka.clusterers.MakeDensityBasedClusterer
-
Gets the current settings of the clusterer.
- getOptions() - Method in class weka.clusterers.RandomizableClusterer
-
Gets the current settings of the classifier.
- getOptions() - Method in class weka.clusterers.RandomizableDensityBasedClusterer
-
Gets the current settings of the classifier.
- getOptions() - Method in class weka.clusterers.RandomizableSingleClustererEnhancer
-
Gets the current settings of the classifier.
- getOptions() - Method in class weka.clusterers.SimpleKMeans
-
Gets the current settings of SimpleKMeans.
- getOptions() - Method in class weka.clusterers.SingleClustererEnhancer
-
Gets the current settings of the clusterer.
- getOptions() - Method in class weka.core.Check
-
Gets the current settings of the CheckClassifier.
- getOptions() - Method in class weka.core.CheckGOE
-
Gets the current settings of the object.
- getOptions() - Method in class weka.core.CheckOptionHandler
-
Gets the current settings of the CheckClassifier.
- getOptions() - Method in class weka.core.CheckScheme
-
Gets the current settings of the CheckClassifier.
- getOptions() - Method in class weka.core.converters.AbstractFileSaver
-
Gets the current settings of the Saver object.
- getOptions() - Method in class weka.core.converters.ArffSaver
-
returns the options of the current setup
- getOptions() - Method in class weka.core.converters.C45Saver
-
Gets the current settings of the C45Saver object.
- getOptions() - Method in class weka.core.converters.CSVLoader
-
- getOptions() - Method in class weka.core.converters.CSVSaver
-
Gets the current settings of the Classifier.
- getOptions() - Method in class weka.core.converters.DatabaseLoader
-
Gets the setting
- getOptions() - Method in class weka.core.converters.DatabaseSaver
-
Gets the setting.
- getOptions() - Method in class weka.core.converters.JSONSaver
-
returns the options of the current setup.
- getOptions() - Method in class weka.core.converters.LibSVMSaver
-
returns the options of the current setup
- getOptions() - Method in class weka.core.converters.MatlabSaver
-
returns the options of the current setup.
- getOptions() - Method in class weka.core.converters.SVMLightSaver
-
returns the options of the current setup.
- getOptions() - Method in class weka.core.converters.TextDirectoryLoader
-
Gets the setting
- getOptions() - Method in class weka.core.converters.XRFFSaver
-
returns the options of the current setup
- getOptions() - Method in class weka.core.DictionaryBuilder
-
Gets the current settings of the DictionaryBuilder
- getOptions() - Method in class weka.core.FilteredDistance
-
Gets the current settings.
- getOptions() - Method in class weka.core.FindWithCapabilities
-
Gets the current settings of this object.
- getOptions() - Method in class weka.core.Javadoc
-
Gets the current settings of this object.
- getOptions() - Method in class weka.core.ListOptions
-
Gets the current settings of this object.
- getOptions() - Method in class weka.core.MinkowskiDistance
-
Gets the current settings of this object.
- getOptions() - Method in class weka.core.neighboursearch.BallTree
-
Gets the current settings of KDtree.
- getOptions() - Method in class weka.core.neighboursearch.balltrees.BallSplitter
-
Gets the current settings of the object.
- getOptions() - Method in class weka.core.neighboursearch.balltrees.BallTreeConstructor
-
Gets the current settings.
- getOptions() - Method in class weka.core.neighboursearch.balltrees.MedianDistanceFromArbitraryPoint
-
Gets the current settings of the object.
- getOptions() - Method in class weka.core.neighboursearch.balltrees.MedianOfWidestDimension
-
Gets the current settings.
- getOptions() - Method in class weka.core.neighboursearch.balltrees.MiddleOutConstructor
-
Gets the current settings of this BallTree MiddleOutConstructor.
- getOptions() - Method in class weka.core.neighboursearch.balltrees.TopDownConstructor
-
Gets the current settings of KDtree.
- getOptions() - Method in class weka.core.neighboursearch.CoverTree
-
Gets the current settings of KDtree.
- getOptions() - Method in class weka.core.neighboursearch.FilteredNeighbourSearch
-
Gets the current settings.
- getOptions() - Method in class weka.core.neighboursearch.KDTree
-
Gets the current settings of KDtree.
- getOptions() - Method in class weka.core.neighboursearch.kdtrees.KDTreeNodeSplitter
-
Gets the current settings of the object.
- getOptions() - Method in class weka.core.neighboursearch.LinearNNSearch
-
Gets the current settings.
- getOptions() - Method in class weka.core.neighboursearch.NearestNeighbourSearch
-
Gets the current settings.
- getOptions() - Method in class weka.core.NormalizableDistance
-
Gets the current settings.
- getOptions(Object, Class<?>) - Static method in class weka.core.Option
-
Get the settings of the supplied object.
- getOptions() - Method in interface weka.core.OptionHandler
-
Gets the current option settings for the OptionHandler.
- getOptions() - Method in class weka.core.OptionHandlerJavadoc
-
Gets the current settings of this object.
- getOptions() - Method in class weka.core.stemmers.SnowballStemmer
-
Gets the current settings of the classifier.
- getOptions() - Method in class weka.core.stopwords.AbstractFileBasedStopwords
-
Gets the current settings of the Classifier.
- getOptions() - Method in class weka.core.stopwords.AbstractStopwords
-
Gets the current settings of the Classifier.
- getOptions() - Method in class weka.core.stopwords.MultiStopwords
-
Gets the current settings of the Classifier.
- getOptions() - Method in class weka.core.TechnicalInformationHandlerJavadoc
-
Gets the current settings of this object.
- getOptions() - Method in class weka.core.TestInstances
-
Gets the current settings of this object.
- getOptions() - Method in class weka.core.tokenizers.CharacterDelimitedTokenizer
-
Gets the current option settings for the OptionHandler.
- getOptions() - Method in class weka.core.tokenizers.CharacterNGramTokenizer
-
Gets the current option settings for the OptionHandler.
- getOptions() - Method in class weka.core.tokenizers.NGramTokenizer
-
Gets the current option settings for the OptionHandler.
- getOptions() - Method in class weka.core.tokenizers.Tokenizer
-
Gets the current option settings for the OptionHandler.
- getOptions() - Method in class weka.datagenerators.ClassificationGenerator
-
Gets the current settings of the classifier.
- getOptions() - Method in class weka.datagenerators.classifiers.classification.Agrawal
-
Gets the current settings of the datagenerator.
- getOptions() - Method in class weka.datagenerators.classifiers.classification.BayesNet
-
Gets the current settings of the datagenerator.
- getOptions() - Method in class weka.datagenerators.classifiers.classification.LED24
-
Gets the current settings of the datagenerator.
- getOptions() - Method in class weka.datagenerators.classifiers.classification.RandomRBF
-
Gets the current settings of the datagenerator.
- getOptions() - Method in class weka.datagenerators.classifiers.classification.RDG1
-
Gets the current settings of the datagenerator RDG1.
- getOptions() - Method in class weka.datagenerators.classifiers.regression.Expression
-
Gets the current settings of the datagenerator BIRCHCluster.
- getOptions() - Method in class weka.datagenerators.classifiers.regression.MexicanHat
-
Gets the current settings of the datagenerator BIRCHCluster.
- getOptions() - Method in class weka.datagenerators.clusterers.BIRCHCluster
-
Gets the current settings of the datagenerator BIRCHCluster.
- getOptions() - Method in class weka.datagenerators.clusterers.SubspaceCluster
-
Gets the current settings of the datagenerator.
- getOptions() - Method in class weka.datagenerators.clusterers.SubspaceClusterDefinition
-
Gets the current settings of the datagenerator BIRCHCluster.
- getOptions() - Method in class weka.datagenerators.ClusterGenerator
-
Gets the current settings of the classifier.
- getOptions() - Method in class weka.datagenerators.DataGenerator
-
Gets the current settings of the datagenerator RDG1.
- getOptions() - Method in class weka.datagenerators.RegressionGenerator
-
Gets the current settings of the classifier.
- getOptions() - Method in class weka.estimators.CheckEstimator
-
Gets the current settings of the CheckEstimator.
- getOptions() - Method in class weka.estimators.Estimator
-
Gets the current settings of the Estimator.
- getOptions() - Method in class weka.estimators.UnivariateMixtureEstimator
-
Returns the current set of options.
- getOptions() - Method in class weka.experiment.AveragingResultProducer
-
Gets the current settings of the result producer.
- getOptions() - Method in class weka.experiment.ClassifierSplitEvaluator
-
Gets the current settings of the Classifier.
- getOptions() - Method in class weka.experiment.CostSensitiveClassifierSplitEvaluator
-
Gets the current settings of the Classifier.
- getOptions() - Method in class weka.experiment.CrossValidationResultProducer
-
Gets the current settings of the result producer.
- getOptions() - Method in class weka.experiment.CSVResultListener
-
Gets the current settings of the Classifier.
- getOptions() - Method in class weka.experiment.DatabaseResultProducer
-
Gets the current settings of the result producer.
- getOptions() - Method in class weka.experiment.DensityBasedClustererSplitEvaluator
-
Gets the current settings of the Classifier.
- getOptions() - Method in class weka.experiment.Experiment
-
Gets the current settings of the experiment iterator.
- getOptions() - Method in class weka.experiment.ExplicitTestsetResultProducer
-
Gets the current settings of the result producer.
- getOptions() - Method in class weka.experiment.InstanceQuery
-
Gets the current settings of InstanceQuery
- getOptions() - Method in class weka.experiment.LearningRateResultProducer
-
Gets the current settings of the result producer.
- getOptions() - Method in class weka.experiment.PairedTTester
-
Gets current settings of the PairedTTester.
- getOptions() - Method in class weka.experiment.RandomSplitResultProducer
-
Gets the current settings of the result producer.
- getOptions() - Method in class weka.experiment.RegressionSplitEvaluator
-
Gets the current settings of the Classifier.
- getOptions() - Method in class weka.experiment.ResultMatrix
-
Gets the current option settings for the OptionHandler.
- getOptions() - Method in class weka.filters.CheckSource
-
Gets the current settings of the filter.
- getOptions() - Method in class weka.filters.Filter
-
Gets the current settings of the filter.
- getOptions() - Method in class weka.filters.MultiFilter
-
Gets the current settings of the filter.
- getOptions() - Method in class weka.filters.supervised.attribute.AddClassification
-
Gets the current settings of the classifier.
- getOptions() - Method in class weka.filters.supervised.attribute.AttributeSelection
-
Gets the current settings for the attribute selection (search, evaluator)
etc.
- getOptions() - Method in class weka.filters.supervised.attribute.ClassOrder
-
Gets the current settings of the filter.
- getOptions() - Method in class weka.filters.supervised.attribute.Discretize
-
Gets the current settings of the filter.
- getOptions() - Method in class weka.filters.supervised.attribute.MergeNominalValues
-
Gets the current settings of the filter.
- getOptions() - Method in class weka.filters.supervised.attribute.NominalToBinary
-
Gets the current settings of the filter.
- getOptions() - Method in class weka.filters.supervised.attribute.PartitionMembership
-
Gets the current settings of the filter.
- getOptions() - Method in class weka.filters.supervised.instance.Resample
-
Gets the current settings of the filter.
- getOptions() - Method in class weka.filters.supervised.instance.SpreadSubsample
-
Gets the current settings of the filter.
- getOptions() - Method in class weka.filters.supervised.instance.StratifiedRemoveFolds
-
Gets the current settings of the filter.
- getOptions() - Method in class weka.filters.unsupervised.attribute.AbstractTimeSeries
-
Gets the current settings of the filter.
- getOptions() - Method in class weka.filters.unsupervised.attribute.Add
-
Gets the current settings of the filter.
- getOptions() - Method in class weka.filters.unsupervised.attribute.AddCluster
-
Gets the current settings of the filter.
- getOptions() - Method in class weka.filters.unsupervised.attribute.AddExpression
-
Gets the current settings of the filter.
- getOptions() - Method in class weka.filters.unsupervised.attribute.AddID
-
Gets the current settings of the filter.
- getOptions() - Method in class weka.filters.unsupervised.attribute.AddNoise
-
Gets the current settings of the filter.
- getOptions() - Method in class weka.filters.unsupervised.attribute.AddUserFields
-
Gets the current settings of the filter
- getOptions() - Method in class weka.filters.unsupervised.attribute.AddValues
-
Gets the current settings of the filter.
- getOptions() - Method in class weka.filters.unsupervised.attribute.CartesianProduct
-
Gets the current settings of the filter.
- getOptions() - Method in class weka.filters.unsupervised.attribute.ChangeDateFormat
-
Gets the current settings of the filter.
- getOptions() - Method in class weka.filters.unsupervised.attribute.ClassAssigner
-
Gets the current settings of the filter.
- getOptions() - Method in class weka.filters.unsupervised.attribute.ClusterMembership
-
Gets the current settings of the filter.
- getOptions() - Method in class weka.filters.unsupervised.attribute.Copy
-
Gets the current settings of the filter.
- getOptions() - Method in class weka.filters.unsupervised.attribute.DateToNumeric
-
Gets the current settings of the filter.
- getOptions() - Method in class weka.filters.unsupervised.attribute.Discretize
-
Gets the current settings of the filter.
- getOptions() - Method in class weka.filters.unsupervised.attribute.FirstOrder
-
Gets the current settings of the filter.
- getOptions() - Method in class weka.filters.unsupervised.attribute.InterquartileRange
-
Gets the current settings of the filter.
- getOptions() - Method in class weka.filters.unsupervised.attribute.KernelFilter
-
Gets the current settings of the filter.
- getOptions() - Method in class weka.filters.unsupervised.attribute.MakeIndicator
-
Gets the current settings of the filter.
- getOptions() - Method in class weka.filters.unsupervised.attribute.MathExpression
-
Gets the current settings of the filter.
- getOptions() - Method in class weka.filters.unsupervised.attribute.MergeInfrequentNominalValues
-
Gets the current settings of the filter.
- getOptions() - Method in class weka.filters.unsupervised.attribute.MergeManyValues
-
Gets the current settings of the filter.
- getOptions() - Method in class weka.filters.unsupervised.attribute.MergeTwoValues
-
Gets the current settings of the filter.
- getOptions() - Method in class weka.filters.unsupervised.attribute.NominalToBinary
-
Gets the current settings of the filter.
- getOptions() - Method in class weka.filters.unsupervised.attribute.NominalToString
-
Gets the current settings of the filter.
- getOptions() - Method in class weka.filters.unsupervised.attribute.Normalize
-
Gets the current settings of the filter.
- getOptions() - Method in class weka.filters.unsupervised.attribute.NumericCleaner
-
Gets the current settings of the filter.
- getOptions() - Method in class weka.filters.unsupervised.attribute.NumericToBinary
-
- getOptions() - Method in class weka.filters.unsupervised.attribute.NumericToDate
-
Gets the current settings of the filter.
- getOptions() - Method in class weka.filters.unsupervised.attribute.NumericToNominal
-
Gets the current settings of the filter.
- getOptions() - Method in class weka.filters.unsupervised.attribute.NumericTransform
-
Gets the current settings of the filter.
- getOptions() - Method in class weka.filters.unsupervised.attribute.OrdinalToNumeric
-
Gets the current settings of the filter.
- getOptions() - Method in class weka.filters.unsupervised.attribute.PartitionedMultiFilter
-
Gets the current settings of the filter.
- getOptions() - Method in class weka.filters.unsupervised.attribute.PKIDiscretize
-
Gets the current settings of the filter.
- getOptions() - Method in class weka.filters.unsupervised.attribute.PotentialClassIgnorer
-
Gets the current settings of the filter.
- getOptions() - Method in class weka.filters.unsupervised.attribute.PrincipalComponents
-
Gets the current settings of the filter.
- getOptions() - Method in class weka.filters.unsupervised.attribute.RandomProjection
-
Gets the current settings of the filter.
- getOptions() - Method in class weka.filters.unsupervised.attribute.RandomSubset
-
Gets the current settings of the filter.
- getOptions() - Method in class weka.filters.unsupervised.attribute.Remove
-
Gets the current settings of the filter.
- getOptions() - Method in class weka.filters.unsupervised.attribute.RemoveByName
-
returns the options of the current setup.
- getOptions() - Method in class weka.filters.unsupervised.attribute.RemoveType
-
Gets the current settings of the filter.
- getOptions() - Method in class weka.filters.unsupervised.attribute.RemoveUseless
-
Gets the current settings of the filter.
- getOptions() - Method in class weka.filters.unsupervised.attribute.RenameAttribute
-
Gets the current settings of the filter.
- getOptions() - Method in class weka.filters.unsupervised.attribute.RenameNominalValues
-
- getOptions() - Method in class weka.filters.unsupervised.attribute.Reorder
-
Gets the current settings of the filter.
- getOptions() - Method in class weka.filters.unsupervised.attribute.ReplaceMissingWithUserConstant
-
- getOptions() - Method in class weka.filters.unsupervised.attribute.ReplaceWithMissingValue
-
Gets the current settings of the filter.
- getOptions() - Method in class weka.filters.unsupervised.attribute.SortLabels
-
Gets the current settings of the classifier.
- getOptions() - Method in class weka.filters.unsupervised.attribute.StringToNominal
-
Gets the current settings of the filter.
- getOptions() - Method in class weka.filters.unsupervised.attribute.StringToWordVector
-
Gets the current settings of the filter.
- getOptions() - Method in class weka.filters.unsupervised.attribute.SwapValues
-
Gets the current settings of the filter.
- getOptions() - Method in class weka.filters.unsupervised.instance.NonSparseToSparse
-
- getOptions() - Method in class weka.filters.unsupervised.instance.Randomize
-
Gets the current settings of the filter.
- getOptions() - Method in class weka.filters.unsupervised.instance.RemoveFolds
-
Gets the current settings of the filter.
- getOptions() - Method in class weka.filters.unsupervised.instance.RemoveFrequentValues
-
Gets the current settings of the filter.
- getOptions() - Method in class weka.filters.unsupervised.instance.RemoveMisclassified
-
Gets the current settings of the filter.
- getOptions() - Method in class weka.filters.unsupervised.instance.RemovePercentage
-
Gets the current settings of the filter.
- getOptions() - Method in class weka.filters.unsupervised.instance.RemoveRange
-
Gets the current settings of the filter.
- getOptions() - Method in class weka.filters.unsupervised.instance.RemoveWithValues
-
Gets the current settings of the filter.
- getOptions() - Method in class weka.filters.unsupervised.instance.Resample
-
Gets the current settings of the filter.
- getOptions() - Method in class weka.filters.unsupervised.instance.ReservoirSample
-
Gets the current settings of the filter.
- getOptions() - Method in class weka.filters.unsupervised.instance.SubsetByExpression
-
Gets the current settings of the filter.
- getOptions() - Method in class weka.gui.explorer.AbstractPlotInstances
-
Gets the current option settings for the OptionHandler.
- getOptions() - Method in class weka.gui.Main
-
returns the options of the current setup.
- getOptions() - Method in class weka.gui.scripting.Script
-
Gets the current settings of the script.
- getOptionsForHierarchy(Object, Class<?>) - Static method in class weka.core.Option
-
Get the settings of the supplied object.
- getOPTYPE(int) - Static method in class weka.classifiers.pmml.producer.AbstractPMMLProducerHelper
-
Returns an OPTYPE for a weka attribute type.
- getOptype() - Method in class weka.core.pmml.Expression
-
Get the optype of the result of applying this Expression.
- getOptype() - Method in class weka.core.pmml.FieldMetaInfo
-
Get the optype.
- getOptype() - Method in class weka.core.pmml.jaxbbindings.DataField
-
Gets the value of the optype property.
- getOptype() - Method in class weka.core.pmml.jaxbbindings.DefineFunction
-
Gets the value of the optype property.
- getOptype() - Method in class weka.core.pmml.jaxbbindings.DerivedField
-
Gets the value of the optype property.
- getOptype() - Method in class weka.core.pmml.jaxbbindings.MiningField
-
Gets the value of the optype property.
- getOptype() - Method in class weka.core.pmml.jaxbbindings.OutputField
-
Gets the value of the optype property.
- getOptype() - Method in class weka.core.pmml.jaxbbindings.ParameterField
-
Gets the value of the optype property.
- getOptype() - Method in class weka.core.pmml.jaxbbindings.ResultField
-
Gets the value of the optype property.
- getOptype() - Method in class weka.core.pmml.jaxbbindings.Target
-
Gets the value of the optype property.
- getOrder() - Method in enum weka.core.logging.Logger.Level
-
Returns the order of this level.
- getOrder() - Method in class weka.core.MinkowskiDistance
-
Gets the order.
- getOrderedFlag() - Method in class weka.datagenerators.clusterers.BIRCHCluster
-
Gets the ordered flag (option O).
- getOrig() - Method in class weka.core.pmml.jaxbbindings.LinearNorm
-
Gets the value of the orig property.
- getOriginalCoords() - Method in class weka.gui.beans.MetaBean
-
returns the vector containing the original coordinates (instances of class
Point) for the inputs
- getOtherCapabilities() - Method in class weka.core.Capabilities
-
returns all other capabilities, besides class and attribute related ones
- getOutgoingConnectedStepsOfConnectionType(String) - Method in interface weka.knowledgeflow.StepManager
-
Get a list of downstream steps connected to this step with the given
connection type.
- getOutgoingConnectedStepsOfConnectionType(String) - Method in class weka.knowledgeflow.StepManagerImpl
-
- getOutgoingConnectedStepWithName(String) - Method in interface weka.knowledgeflow.StepManager
-
Get a named step connected to this step with an outgoing connection
- getOutgoingConnectedStepWithName(String) - Method in class weka.knowledgeflow.StepManagerImpl
-
Get a named step connected to this step with an outgoing connection
- getOutgoingConnections() - Method in interface weka.knowledgeflow.StepManager
-
Get a Map of all outgoing connections.
- getOutgoingConnections() - Method in class weka.knowledgeflow.StepManagerImpl
-
Get the map of downstream (outgoing connections) connected steps
- getOutgoingConnectionTypes() - Method in class weka.knowledgeflow.steps.AlterRelationName
-
Get the list of outgoing connection types that can be made given the
current state of incoming connections
- getOutgoingConnectionTypes() - Method in class weka.knowledgeflow.steps.Appender
-
Get a list of outgoing connection types that this step can produce at this
time
- getOutgoingConnectionTypes() - Method in class weka.knowledgeflow.steps.ASEvaluator
-
Get a list of output connections that can be produced given the current
state of the step
- getOutgoingConnectionTypes() - Method in class weka.knowledgeflow.steps.ASSearchStrategy
-
Get a list of outgoing connections from this step.
- getOutgoingConnectionTypes() - Method in class weka.knowledgeflow.steps.Associator
-
Get a list of outgoing connections that this step can produce at this time
- getOutgoingConnectionTypes() - Method in class weka.knowledgeflow.steps.AttributeSummarizer
-
Get a list of outgoing connections that this step can produce at this time
- getOutgoingConnectionTypes() - Method in class weka.knowledgeflow.steps.BaseSimpleDataVisualizer
-
Get a list of outgoing connection types that this step can produce at this
time.
- getOutgoingConnectionTypes() - Method in interface weka.knowledgeflow.steps.BaseStepExtender
-
Get a list of outgoing connection types that this step can produce.
- getOutgoingConnectionTypes() - Method in class weka.knowledgeflow.steps.Block
-
Get a list of outgoing connection types that this step can produce at this
time
- getOutgoingConnectionTypes() - Method in class weka.knowledgeflow.steps.BoundaryPlotter
-
Get a list of outgoing connection types that this step can produce.
- getOutgoingConnectionTypes() - Method in class weka.knowledgeflow.steps.ClassAssigner
-
Get the outgoing connection types that this step can produce at this time
- getOutgoingConnectionTypes() - Method in class weka.knowledgeflow.steps.Classifier
-
- getOutgoingConnectionTypes() - Method in class weka.knowledgeflow.steps.ClassifierPerformanceEvaluator
-
Get a list of outgoing connection types that this step can produce.
- getOutgoingConnectionTypes() - Method in class weka.knowledgeflow.steps.ClassValuePicker
-
Get a list of outgoing connection types that this step can produce.
- getOutgoingConnectionTypes() - Method in class weka.knowledgeflow.steps.Clusterer
-
Get a list of outgoing connections that could be made from this step at
this point in time
- getOutgoingConnectionTypes() - Method in class weka.knowledgeflow.steps.ClustererPerformanceEvaluator
-
Get a list of outgoing connection types that this step can produce.
- getOutgoingConnectionTypes() - Method in class weka.knowledgeflow.steps.CrossValidationFoldMaker
-
Get a list of outgoing connection types that this step can produce.
- getOutgoingConnectionTypes() - Method in class weka.knowledgeflow.steps.DataGenerator
-
Get a list of outgoing connection types
- getOutgoingConnectionTypes() - Method in class weka.knowledgeflow.steps.DataGrid
-
- getOutgoingConnectionTypes() - Method in class weka.knowledgeflow.steps.DataVisualizer
-
- getOutgoingConnectionTypes() - Method in class weka.knowledgeflow.steps.Dummy
-
Get a list of outgoing connection types that this step can produce.
- getOutgoingConnectionTypes() - Method in class weka.knowledgeflow.steps.ExecuteProcess
-
Get a list of possible outgoing connection types at this point in time
- getOutgoingConnectionTypes() - Method in class weka.knowledgeflow.steps.Filter
-
Get a list of outgoing connection types that this step can produce.
- getOutgoingConnectionTypes() - Method in class weka.knowledgeflow.steps.FlowByExpression
-
Get a list of outgoing connection types that this step can produce.
- getOutgoingConnectionTypes() - Method in class weka.knowledgeflow.steps.GetDataFromResult
-
- getOutgoingConnectionTypes() - Method in class weka.knowledgeflow.steps.GraphViewer
-
Get a list of outgoing connection types that this step can produce.
- getOutgoingConnectionTypes() - Method in class weka.knowledgeflow.steps.ImageSaver
-
Get a list of outgoing connection types that this step can produce.
- getOutgoingConnectionTypes() - Method in class weka.knowledgeflow.steps.ImageViewer
-
Get a list of outgoing connections that can be generated given the current
state of the step - will produce StepManager.CON_IMAGE data if we have at
least one incoming image connection connection
- getOutgoingConnectionTypes() - Method in class weka.knowledgeflow.steps.IncrementalClassifierEvaluator
-
Get a list of outgoing connection types that this step can produce.
- getOutgoingConnectionTypes() - Method in class weka.knowledgeflow.steps.InstanceStreamToBatchMaker
-
Get a list of outgoing connection types that this step can produce.
- getOutgoingConnectionTypes() - Method in class weka.knowledgeflow.steps.Job
-
- getOutgoingConnectionTypes() - Method in class weka.knowledgeflow.steps.Join
-
Get a list of outgoing connection types that this step can produce.
- getOutgoingConnectionTypes() - Method in class weka.knowledgeflow.steps.Loader
-
Get a list of outgoing connection types that this step can produce.
- getOutgoingConnectionTypes() - Method in class weka.knowledgeflow.steps.MakeResourceIntensive
-
Get a list of outgoing connection types that this step can produce.
- getOutgoingConnectionTypes() - Method in class weka.knowledgeflow.steps.MemoryBasedDataSource
-
Get a list of outgoing connection types that this step can produce.
- getOutgoingConnectionTypes() - Method in class weka.knowledgeflow.steps.ModelPerformanceChart
-
Get a list of outgoing connection types that this step can produce.
- getOutgoingConnectionTypes() - Method in class weka.knowledgeflow.steps.Note
-
Get outgoing connections produced - none in the case of a note :-)
- getOutgoingConnectionTypes() - Method in class weka.knowledgeflow.steps.PredictionAppender
-
Get a list of outgoing connection types that this step can produce at this
time
- getOutgoingConnectionTypes() - Method in class weka.knowledgeflow.steps.Saver
-
Get a list of outgoing connection types that this step can produce at this
time
- getOutgoingConnectionTypes() - Method in class weka.knowledgeflow.steps.SendToPerspective
-
- getOutgoingConnectionTypes() - Method in class weka.knowledgeflow.steps.SerializedModelSaver
-
Get a list of outgoing connection types that this step can produce.
- getOutgoingConnectionTypes() - Method in class weka.knowledgeflow.steps.SetPropertiesFromEnvironment
-
- getOutgoingConnectionTypes() - Method in class weka.knowledgeflow.steps.SetVariables
-
Get a list of outgoing connection types that this step can produce.
- getOutgoingConnectionTypes() - Method in class weka.knowledgeflow.steps.Sorter
-
Get a list of outgoing connection types that this step can produce.
- getOutgoingConnectionTypes() - Method in interface weka.knowledgeflow.steps.Step
-
Get a list of outgoing connection types that this step can produce.
- getOutgoingConnectionTypes() - Method in class weka.knowledgeflow.steps.StorePropertiesInEnvironment
-
- getOutgoingConnectionTypes() - Method in class weka.knowledgeflow.steps.StripChart
-
Get a list of outgoing connection types that this step can produce.
- getOutgoingConnectionTypes() - Method in class weka.knowledgeflow.steps.SubstringLabeler
-
Get a list of outgoing connection types that this step can produce.
- getOutgoingConnectionTypes() - Method in class weka.knowledgeflow.steps.SubstringReplacer
-
Get a list of outgoing connection types that this step can produce.
- getOutgoingConnectionTypes() - Method in class weka.knowledgeflow.steps.TestSetMaker
-
Get a list of outgoing connection types that this step can produce.
- getOutgoingConnectionTypes() - Method in class weka.knowledgeflow.steps.TextSaver
-
Get a list of outgoing connection types that this step can produce.
- getOutgoingConnectionTypes() - Method in class weka.knowledgeflow.steps.TextViewer
-
Get a list of outgoing connection types that this step can produce.
- getOutgoingConnectionTypes() - Method in class weka.knowledgeflow.steps.TrainingSetMaker
-
Get a list of outgoing connection types that this step can produce.
- getOutgoingConnectionTypes() - Method in class weka.knowledgeflow.steps.TrainTestSplitMaker
-
Get a list of outgoing connection types that this step can produce.
- getOutgoingConnectionTypes() - Method in class weka.knowledgeflow.steps.WriteDataToResult
-
- getOutgoingConnectionTypes() - Method in class weka.knowledgeflow.steps.WriteWekaLog
-
Get currently generatable outgoing connection types
- getOutlierFactor() - Method in class weka.filters.unsupervised.attribute.InterquartileRange
-
Gets the factor for determining the thresholds for outliers.
- getOutliers() - Method in class weka.core.pmml.jaxbbindings.MiningField
-
Gets the value of the outliers property.
- getOutliers() - Method in class weka.core.pmml.jaxbbindings.NormContinuous
-
Gets the value of the outliers property.
- getOutlierTreatmentMethod() - Method in class weka.core.pmml.MiningFieldMetaInfo
-
Get the outlier treatment method used for this field.
- getOutOfBagEvaluationObject() - Method in class weka.classifiers.meta.Bagging
-
Returns the out-of-bag evaluation object.
- getOutput() - Method in class weka.core.pmml.jaxbbindings.DecisionTree
-
Gets the value of the output property.
- getOutput() - Method in class weka.core.pmml.jaxbbindings.Regression
-
Gets the value of the output property.
- getOutput() - Method in class weka.datagenerators.DataGenerator
-
Gets the print writer.
- getOutput() - Method in class weka.gui.explorer.DataGeneratorPanel
-
returns the generated output as text
- getOutput() - Method in class weka.gui.scripting.FileScriptingPanel
-
Returns the text area that is used for displaying output on stdout
and stderr.
- getOutput() - Method in class weka.gui.scripting.ScriptingPanel
-
Returns the text area that is used for displaying output on stdout
and stderr.
- getOutput() - Method in class weka.gui.SimpleCLIPanel
-
Returns the text area that is used for displaying output on stdout and
stderr.
- getOutputAdditionalStats() - Method in class weka.classifiers.functions.LinearRegression
-
Get whether to output additional statistics (such as std.
- getOutputAdditionalStats() - Method in class weka.classifiers.functions.SimpleLinearRegression
-
Get whether to output additional statistics (such as std.
- getOutputArea() - Method in class weka.gui.SimpleCLIPanel
-
The output area.
- getOutputClassification() - Method in class weka.filters.supervised.attribute.AddClassification
-
Get whether the classifiction of the classifier is output.
- getOutputColumn() - Method in class weka.core.pmml.jaxbbindings.MapValues
-
Gets the value of the outputColumn property.
- getOutputConfusionMatrix() - Method in class weka.knowledgeflow.steps.ClassifierPerformanceEvaluator
-
- getOutputDef() - Method in class weka.core.pmml.BuiltInArithmetic
-
Get the structure of the result produced by this function.
- getOutputDef() - Method in class weka.core.pmml.BuiltInMath
-
Get the structure of the result produced by this function.
- getOutputDef() - Method in class weka.core.pmml.BuiltInString
-
Get the structure of the result produced by this function.
- getOutputDef() - Method in class weka.core.pmml.DefineFunction
-
Get the structure of the result produced by this function.
- getOutputDef() - Method in class weka.core.pmml.FieldRef
-
Return the structure of the result of applying this Expression
as an Attribute.
- getOutputDef() - Method in class weka.core.pmml.Function
-
Get the structure of the result produced by this function.
- getOutputDetailedInfo() - Method in class weka.attributeSelection.CorrelationAttributeEval
-
Get whether to output per-value correlation for nominal attributes
- getOutputDirectory() - Method in class weka.knowledgeflow.steps.SerializedModelSaver
-
Get the directory to save to
- getOutputDistribution() - Method in class weka.classifiers.evaluation.output.prediction.AbstractOutput
-
Returns whether to output the class distribution as well.
- getOutputDistribution() - Method in class weka.filters.supervised.attribute.AddClassification
-
Get whether the classifiction of the classifier is output.
- getOutputEntropyMetrics() - Method in class weka.knowledgeflow.steps.ClassifierPerformanceEvaluator
-
- getOutputErrorFlag() - Method in class weka.filters.supervised.attribute.AddClassification
-
Get whether the classifiction of the classifier is output.
- getOutputFields() - Method in class weka.core.pmml.jaxbbindings.Output
-
Gets the value of the outputField property.
- getOutputFile() - Method in class weka.classifiers.evaluation.output.prediction.AbstractOutput
-
Returns the output file to write to.
- getOutputFile() - Method in class weka.experiment.CrossValidationResultProducer
-
Get the value of OutputFile.
- getOutputFile() - Method in class weka.experiment.CSVResultListener
-
Get the value of OutputFile.
- getOutputFile() - Method in class weka.experiment.ExplicitTestsetResultProducer
-
Get the value of OutputFile.
- getOutputFile() - Method in class weka.experiment.RandomSplitResultProducer
-
Get the value of OutputFile.
- getOutputFilename() - Method in class weka.core.converters.TextDirectoryLoader
-
Gets whether the filename will be stored as an extra attribute.
- getOutputFilename() - Method in class weka.gui.GenericPropertiesCreator
-
returns the name of the output file
- getOutputFormat() - Method in class weka.core.Debug.Clock
-
returns the output format
- getOutputFormat() - Method in class weka.filters.Filter
-
Gets the format of the output instances.
- getOutputFormat() - Method in class weka.filters.unsupervised.attribute.PotentialClassIgnorer
-
Gets the format of the output instances.
- getOutputFormat() - Static method in class weka.gui.experiment.ExperimenterDefaults
-
returns the classname (and optional options) of the ResultMatrix class,
responsible for the output format.
- getOutputItemSets() - Method in class weka.associations.Apriori
-
Gets whether itemsets are output as well
- getOutputNeuron() - Method in class weka.core.pmml.jaxbbindings.NeuralOutput
-
Gets the value of the outputNeuron property.
- getOutputNums() - Method in class weka.classifiers.functions.neural.NeuralConnection
-
Use this to get easy access to the output numbers.
- getOutputOffsetMultiplier() - Method in class weka.filters.unsupervised.attribute.InterquartileRange
-
Gets whether an additional attribute "Offset" is generated per
Outlier/ExtremeValue attribute pair that lists the multiplier the value is
off the median: value = median + 'multiplier' * IQR.
- getOutputOutOfBagComplexityStatistics() - Method in class weka.classifiers.meta.Bagging
-
Gets whether complexity statistics are output when OOB estimation is performed.
- getOutputPerClassInfoRetrievalStats() - Method in class weka.gui.beans.IncrementalClassifierEvaluator
-
Get whether per-class information retrieval stats are to be output.
- getOutputPerClassInfoRetrievalStats() - Method in class weka.knowledgeflow.steps.IncrementalClassifierEvaluator
-
Get whether per-class information retrieval stats are to be output.
- getOutputPerClassStats() - Method in class weka.knowledgeflow.steps.ClassifierPerformanceEvaluator
-
- getOutputProbsForSVM() - Method in class weka.classifiers.functions.SGDText
-
Get whether to fit a logistic regression (itself trained using SGD) to the
outputs of the SVM (if an SVM is being learned).
- getOutputProperties() - Method in class weka.gui.GenericPropertiesCreator
-
returns the output properties object (structure like the template, but
filled with classes instead of packages)
- getOutputs() - Method in class weka.classifiers.functions.neural.NeuralConnection
-
Use this to get easy access to the outputs.
- getOutputs() - Method in class weka.gui.beans.MetaBean
-
- getOutputStructure() - Method in class weka.gui.beans.SubstringLabelerRules
-
Get the output structure
- getOutputTypes() - Method in class weka.core.Debug.DBO
-
Gets the current output type selection
- getOutputWordCounts() - Method in class weka.core.DictionaryBuilder
-
Gets whether output instances contain 0 or 1 indicating word presence, or
word counts.
- getOutputWordCounts() - Method in class weka.filters.unsupervised.attribute.FixedDictionaryStringToWordVector
-
Gets whether output instances contain 0 or 1 indicating word presence, or
word counts.
- getOutputWordCounts() - Method in class weka.filters.unsupervised.attribute.StringToWordVector
-
Gets whether output instances contain 0 or 1 indicating word presence, or
word counts.
- getOverwriteWarning() - Method in class weka.gui.ConverterFileChooser
-
Returns whether a popup appears with a warning that the file already exists
(only save dialog).
- getOwner() - Method in class weka.core.Capabilities
-
returns the owner of this capabilities object
- getOwner() - Static method in class weka.core.Copyright
-
returns the entity owning the copyright
- getOwner() - Method in class weka.gui.scripting.Script.ScriptThread
-
Returns the owner.
- getOwner() - Method in class weka.gui.simplecli.AbstractCommand
-
Returns the owner.
- getP() - Method in class weka.classifiers.BVDecomposeSegCVSub
-
Get the proportion of instances that are common between two training sets.
- getPackage() - Method in class weka.core.packageManagement.PackageConstraint
-
Get the package that this constraint applies to.
- getPackage(String) - Method in class weka.gui.SimpleCLIPanel.CommandlineCompletion
-
returns the packages part of the partial classname.
- getPackageArchiveInfo(String) - Method in class weka.core.packageManagement.DefaultPackageManager
-
Get package information from the supplied package archive file.
- getPackageArchiveInfo(String) - Method in class weka.core.packageManagement.PackageManager
-
Get package information from the supplied package archive file.
- getPackageArchiveInfo(String) - Static method in class weka.core.WekaPackageManager
-
Extract meta data from a package archive
- getPackageClassLoader(String) - Method in class weka.core.WekaPackageClassLoaderManager
-
Get the classloader for the named package
- getPackageClassLoadersForDependencies() - Method in class weka.core.WekaPackageLibIsolatingClassLoader
-
Gets a list of class loaders for the packages that this one depends on
- getPackageHome() - Method in class weka.core.packageManagement.PackageManager
-
Get the location (directory) of installed packages
- getPackageHome() - Static method in class weka.core.WekaPackageManager
-
- getPackageJarEntries() - Method in class weka.core.WekaPackageLibIsolatingClassLoader
-
Get a Set of the names of all classes contained within top-level jar files
in this package
- getPackageJarFileClasses() - Method in class weka.core.WekaPackageClassLoaderManager
-
Get a set of all classes contained in all top-level jar files from Weka
packages.
- getPackageList(boolean) - Static method in class weka.core.WekaPackageManager
-
Just get a list of the package names.
- getPackageMetaData() - Method in class weka.core.packageManagement.Package
-
Get the meta data for this package.
- getPackageMetaDataElement(Object) - Method in class weka.core.packageManagement.Package
-
Gets the package meta data element associated with the supplied key.
- getPackageName() - Method in class weka.core.WekaPackageLibIsolatingClassLoader
-
Return the name of the package that this classloader loads classes for
- getPackageRepositoryURL() - Method in class weka.core.packageManagement.PackageManager
-
Get the URL to the repository of package meta data.
- getPackageRepositoryURL() - Static method in class weka.core.WekaPackageManager
-
Get the package repository URL
- getPackageURL() - Method in class weka.core.packageManagement.DefaultPackage
-
Convenience method that returns the URL to the package (i.e the provider's
URL).
- getPackageURL() - Method in class weka.core.packageManagement.Package
-
Convenience method that returns the URL to the package (i.e the provider's
URL).
- getPaint() - Method in class weka.gui.visualize.PostscriptGraphics
-
- getPairCounts() - Method in class weka.core.pmml.jaxbbindings.BayesInput
-
Gets the value of the pairCounts property.
- getPalleteSelectedStep() - Method in class weka.gui.knowledgeflow.MainKFPerspective
-
Return the currently selected step in the design palette
- getPanel(int) - Method in class weka.gui.arffviewer.ArffViewerMainPanel
-
returns the specified panel, null
if index is out of bounds
- getPanel() - Method in class weka.gui.scripting.event.TitleUpdatedEvent
-
Returns the scripting panel that triggered the event.
- getPanelCount() - Method in class weka.gui.arffviewer.ArffViewerMainPanel
-
returns the number of panels currently open
- getPanels() - Static method in class weka.gui.experiment.AbstractSetupPanel
-
Returns a list of all available setup panels.
- getPanels() - Method in class weka.gui.explorer.Explorer
-
returns all the panels, apart from the PreprocessPanel
- getParameter() - Method in class weka.core.pmml.jaxbbindings.ParameterList
-
Gets the value of the parameter property.
- getParameterField() - Method in class weka.core.pmml.jaxbbindings.DefineFunction
-
Gets the value of the parameterField property.
- getParameterHelp() - Method in class weka.gui.simplecli.AbstractCommand
-
Returns the one-liner help string for the parameters.
- getParameterHelp() - Method in class weka.gui.simplecli.Capabilities
-
Returns the one-liner help string for the parameters.
- getParameterHelp() - Method in class weka.gui.simplecli.Cls
-
Returns the one-liner help string for the parameters.
- getParameterHelp() - Method in class weka.gui.simplecli.Echo
-
Returns the one-liner help string for the parameters.
- getParameterHelp() - Method in class weka.gui.simplecli.Exit
-
Returns the one-liner help string for the parameters.
- getParameterHelp() - Method in class weka.gui.simplecli.Help
-
Returns the one-liner help string for the parameters.
- getParameterHelp() - Method in class weka.gui.simplecli.History
-
Returns the one-liner help string for the parameters.
- getParameterHelp() - Method in class weka.gui.simplecli.Java
-
Returns the one-liner help string for the parameters.
- getParameterHelp() - Method in class weka.gui.simplecli.Kill
-
Returns the one-liner help string for the parameters.
- getParameterHelp() - Method in class weka.gui.simplecli.Script
-
Returns the one-liner help string for the parameters.
- getParameterHelp() - Method in class weka.gui.simplecli.Set
-
Returns the one-liner help string for the parameters.
- getParameterHelp() - Method in class weka.gui.simplecli.Unset
-
Returns the one-liner help string for the parameters.
- getParameterName() - Method in class weka.core.pmml.jaxbbindings.PCell
-
Gets the value of the parameterName property.
- getParameterName() - Method in class weka.core.pmml.jaxbbindings.PPCell
-
Gets the value of the parameterName property.
- getParameterNames() - Method in class weka.core.pmml.BuiltInArithmetic
-
Returns an array of the names of the parameters expected
as input by this function
- getParameterNames() - Method in class weka.core.pmml.BuiltInMath
-
Returns an array of the names of the parameters expected
as input by this function.
- getParameterNames() - Method in class weka.core.pmml.BuiltInString
-
Returns an array of the names of the parameters expected
as input by this function.
- getParameterNames() - Method in class weka.core.pmml.DefineFunction
-
Returns an array of the names of the parameters expected
as input by this function.
- getParameterNames() - Method in class weka.core.pmml.Function
-
Returns an array of the names of the parameters expected
as input by this function.
- getParent(int, int) - Method in class weka.classifiers.bayes.BayesNet
-
get node index of a parent of a node in the network structure
- getParent(int) - Method in class weka.classifiers.bayes.net.ParentSet
-
returns index parent of parent specified by index
- getParent() - Method in class weka.datagenerators.ClusterDefinition
-
returns the parent datagenerator this cluster belongs to
- getParent(int) - Method in class weka.gui.treevisualizer.Node
-
Get the parent edge.
- getParentCardinality(int) - Method in class weka.classifiers.bayes.BayesNet
-
get number of values the collection of parents of a node can take
- getParentDialog(Container) - Static method in class weka.gui.PropertyDialog
-
Tries to determine the dialog this panel is part of.
- getParentField() - Method in class weka.core.pmml.jaxbbindings.ChildParent
-
Gets the value of the parentField property.
- getParentFrame() - Method in class weka.gui.arffviewer.ArffViewerMainPanel
-
returns the parent frame, if it's a JFrame, otherwise null
- getParentFrame() - Method in class weka.gui.GUIChooserApp.ChildFrameSDI
-
returns the parent frame, can be null.
- getParentFrame() - Method in class weka.gui.Main.ChildFrameMDI
-
returns the parent frame, can be null.
- getParentFrame() - Method in class weka.gui.Main.ChildFrameSDI
-
returns the parent frame, can be null.
- getParentFrame(Container) - Static method in class weka.gui.PropertyDialog
-
Tries to determine the frame this panel is part of.
- getParentFrame() - Method in class weka.gui.SetInstancesPanel
-
Returns the current frame the panel knows of, that it resides in.
- getParentInternalFrame() - Method in class weka.gui.arffviewer.ArffViewerMainPanel
-
returns the parent frame, if it's a JInternalFrame, otherwise null
- getParentInternalFrame(Container) - Static method in class weka.gui.PropertyDialog
-
Tries to determine the internal frame this panel is part of.
- getParentLevelField() - Method in class weka.core.pmml.jaxbbindings.ChildParent
-
Gets the value of the parentLevelField property.
- getParents() - Method in class weka.classifiers.bayes.net.ParentSet
-
- getParentSet(int) - Method in class weka.classifiers.bayes.BayesNet
-
get the parent set of a node
- getParentSets() - Method in class weka.classifiers.bayes.BayesNet
-
Get full set of parent sets.
- getPartialScore() - Method in class weka.core.pmml.jaxbbindings.Attribute
-
Gets the value of the partialScore property.
- getPartition() - Method in class weka.core.pmml.jaxbbindings.Cluster
-
Gets the value of the partition property.
- getPartition() - Method in class weka.core.pmml.jaxbbindings.TargetValue
-
Gets the value of the partition property.
- getPartitionFieldStats() - Method in class weka.core.pmml.jaxbbindings.Partition
-
Gets the value of the partitionFieldStats property.
- getPartitionGenerator() - Method in class weka.filters.supervised.attribute.PartitionMembership
-
Get the generator used by this filter
- getPassword() - Method in class weka.core.converters.DatabaseLoader
-
Returns the database password
- getPassword() - Method in class weka.core.converters.DatabaseSaver
-
Returns the database password.
- getPassword() - Method in class weka.experiment.DatabaseUtils
-
Get the database password.
- getPassword() - Method in class weka.gui.DatabaseConnectionDialog
-
Returns password from dialog
- getPassword() - Method in class weka.gui.sql.ConnectionPanel
-
returns the current Password.
- getPassword() - Method in class weka.gui.sql.event.ResultChangedEvent
-
returns the password that produced the table model
- getPassword() - Method in class weka.gui.sql.ResultSetTable
-
returns the password that produced the table model
- getPassword() - Method in class weka.gui.sql.SqlViewer
-
returns the password from the currently active tab in the ResultPanel,
otherwise an empty string.
- getPassword() - Method in class weka.gui.sql.SqlViewerDialog
-
returns the chosen password, if any.
- getPasteBuffer() - Method in class weka.gui.beans.KnowledgeFlowApp
-
Get the contents of the paste buffer
- getPasteBuffer() - Method in class weka.gui.knowledgeflow.MainKFPerspective
-
Get the contents of the paste buffer
- getPath() - Method in class weka.gui.PropertySelectorDialog
-
Gets the path of property nodes to the selected property.
- getPathToWekaJarFile() - Method in class weka.core.WekaPackageClassLoaderManager
-
Return the path to the weka.jar file (if found) on the classpath.
- getPattern() - Method in class weka.datagenerators.clusterers.BIRCHCluster
-
Gets the pattern type.
- getPayloadElement(String) - Method in class weka.knowledgeflow.Data
-
Get a payload element from this Data object.
- getPayloadElement(String, T) - Method in class weka.knowledgeflow.Data
-
Get a payload element from this Data object.
- getPCell() - Method in class weka.core.pmml.jaxbbindings.ParamMatrix
-
Gets the value of the pCell property.
- getPCol() - Method in class weka.core.pmml.jaxbbindings.PCovCell
-
Gets the value of the pCol property.
- getPCovCell() - Method in class weka.core.pmml.jaxbbindings.PCovMatrix
-
Gets the value of the pCovCell property.
- getPercent() - Method in class weka.filters.unsupervised.attribute.AddNoise
-
Gets the size of noise data as a percentage of the original set.
- getPercent() - Method in class weka.filters.unsupervised.attribute.RandomProjection
-
Gets the percent the attributes (dimensions) of the data will be reduced to
- getPercentage() - Method in class weka.filters.unsupervised.instance.RemovePercentage
-
Gets the percentage of instances to select.
- getPercentageSplit() - Method in class weka.gui.explorer.ClassifierPanel
-
Get the percentage to use for percentage split evaluation
- getPercentCompleted() - Method in class weka.gui.boundaryvisualizer.RemoteResult
-
Return the progress for this row
- getPerformanceStats() - Method in class weka.core.neighboursearch.NearestNeighbourSearch
-
Gets the class object that contains the performance statistics of the
search method.
- getPeriod() - Method in class weka.core.pmml.jaxbbindings.SeasonalityExpoSmooth
-
Gets the value of the period property.
- getPeriodicPruning() - Method in class weka.classifiers.bayes.NaiveBayesMultinomialText
-
Get how often to prune the dictionary
- getPeriodicPruning() - Method in class weka.classifiers.functions.SGDText
-
Get how often to prune the dictionary
- getPeriodicPruning() - Method in class weka.core.converters.DictionarySaver
-
Gets the rate at which the dictionary is periodically pruned, as a
percentage of the dataset size.
- getPeriodicPruning() - Method in class weka.core.DictionaryBuilder
-
Gets the rate (number of instances) at which the dictionary is periodically
pruned.
- getPeriodicPruning() - Method in class weka.filters.unsupervised.attribute.StringToWordVector
-
Gets the rate at which the dictionary is periodically pruned, as a
percentage of the dataset size.
- getPeriodicPruningRate() - Method in class weka.clusterers.Canopy
-
Get the how often to prune low density canopies during training
- getPerspective(String) - Method in class weka.gui.PerspectiveManager
-
Get the perspective with the given ID
- getPerspectiveIcon() - Method in class weka.gui.AbstractPerspective
-
Get the icon for this perspective
- getPerspectiveIcon() - Method in class weka.gui.beans.AttributeSummarizer
-
Get the icon for this perspective.
- getPerspectiveIcon() - Method in interface weka.gui.beans.KnowledgeFlowApp.KFPerspective
-
Get the icon for this perspective.
- getPerspectiveIcon() - Method in class weka.gui.beans.KnowledgeFlowApp.MainKFPerspective
-
Get the icon for this perspective
- getPerspectiveIcon() - Method in class weka.gui.beans.ScatterPlotMatrix
-
Get the icon for this perspective.
- getPerspectiveIcon() - Method in class weka.gui.beans.SQLViewerPerspective
-
Get the icon for this perspective.
- getPerspectiveIcon() - Method in interface weka.gui.Perspective
-
Get the icon for this perspective
- getPerspectiveIcon() - Method in class weka.gui.SimpleCLIPanel
-
- getPerspectiveID() - Method in class weka.gui.AbstractPerspective
-
Get the ID of this perspective
- getPerspectiveID() - Method in interface weka.gui.Perspective
-
Get the ID of this perspective
- getPerspectiveID() - Method in class weka.gui.SimpleCLIPanel
-
- getPerspectiveManager() - Method in class weka.gui.AbstractGUIApplication
-
Get the PerspectiveManager
in use by this application
- getPerspectiveManager() - Method in interface weka.gui.GUIApplication
-
Get the PerspectiveManager
in use by this application
- getPerspectiveManager() - Method in class weka.gui.knowledgeflow.KnowledgeFlowApp
-
Get the PerspectiveManager
used by this application
- getPerspectiveName() - Method in class weka.knowledgeflow.steps.SendToPerspective
-
- GetPerspectiveNamesGraphicalCommand - Class in weka.gui.knowledgeflow
-
Class implementing a command for getting the names of all visible
perspectives
- GetPerspectiveNamesGraphicalCommand() - Constructor for class weka.gui.knowledgeflow.GetPerspectiveNamesGraphicalCommand
-
- getPerspectivesToolbarAlwaysHidden() - Method in class weka.gui.PerspectiveManager.SelectedPerspectivePreferences
-
Get whether the perspectives toolbar should always be hidden
- getPerspectivesToolbarVisibleOnStartup() - Method in class weka.gui.PerspectiveManager.SelectedPerspectivePreferences
-
Get whether the perspectives toolbar should be visible in the GUI at
application startup
- getPerspectiveTipText() - Method in class weka.gui.AbstractPerspective
-
Get the tool tip text for this perspective
- getPerspectiveTipText() - Method in class weka.gui.beans.AttributeSummarizer
-
Get the tool tip text for this perspective.
- getPerspectiveTipText() - Method in interface weka.gui.beans.KnowledgeFlowApp.KFPerspective
-
Get the tool tip text for this perspective.
- getPerspectiveTipText() - Method in class weka.gui.beans.KnowledgeFlowApp.MainKFPerspective
-
Get the tool tip text for this perspective
- getPerspectiveTipText() - Method in class weka.gui.beans.ScatterPlotMatrix
-
Get the tool tip text for this perspective.
- getPerspectiveTipText() - Method in class weka.gui.beans.SQLViewerPerspective
-
Get the tool tip text for this perspective.
- getPerspectiveTipText() - Method in interface weka.gui.Perspective
-
Get the tool tip text for this perspective
- getPerspectiveTipText() - Method in class weka.gui.SimpleCLIPanel
-
- getPerspectiveTitle() - Method in class weka.gui.AbstractPerspective
-
Get the title of this perspective
- getPerspectiveTitle() - Method in class weka.gui.beans.AttributeSummarizer
-
Get the title of this perspective
- getPerspectiveTitle() - Method in interface weka.gui.beans.KnowledgeFlowApp.KFPerspective
-
Get the title of this perspective
- getPerspectiveTitle() - Method in class weka.gui.beans.KnowledgeFlowApp.MainKFPerspective
-
Get the title of this perspective
- getPerspectiveTitle() - Method in class weka.gui.beans.ScatterPlotMatrix
-
Get the title of this perspective
- getPerspectiveTitle() - Method in class weka.gui.beans.SQLViewerPerspective
-
Get the title of this perspective
- getPerspectiveTitle() - Method in interface weka.gui.Perspective
-
Get the title of this perspective
- getPerspectiveTitle() - Method in class weka.gui.SimpleCLIPanel
-
- getPerspectiveToolBar() - Method in class weka.gui.PerspectiveManager
-
Get the panel that contains the perspectives toolbar
- getPerturbationFraction() - Method in class weka.datagenerators.classifiers.classification.Agrawal
-
Gets the perturbation fraction.
- getPhase() - Method in class weka.core.pmml.jaxbbindings.SeasonalityExpoSmooth
-
Gets the value of the phase property.
- getPhi() - Method in class weka.core.pmml.jaxbbindings.TrendExpoSmooth
-
Gets the value of the phi property.
- getPickList() - Method in class weka.core.Settings.SettingKey
-
Get the optional pick list for the setting
- getPivot() - Method in class weka.core.matrix.LUDecomposition
-
Return pivot permutation vector
- getPivot() - Method in class weka.core.neighboursearch.balltrees.BallNode
-
Returns the pivot/centre of the
node's ball.
- getPlainColumnName(int) - Method in class weka.gui.arffviewer.ArffTable
-
returns the basically the attribute name of the column and not the HTML
column name via getColumnName(int)
- getPlainTitle() - Method in class weka.gui.scripting.FileScriptingPanel
-
Returns the title (without the filename).
- getPlainTitle() - Method in class weka.gui.scripting.GroovyPanel
-
Returns the title (without the filename).
- getPlainTitle() - Method in class weka.gui.scripting.JythonPanel
-
Returns the title (without the filename).
- getPlotData(String) - Method in class weka.gui.explorer.AbstractPlotInstances
-
Assembles and returns the plot.
- getPlotInstances() - Method in class weka.gui.explorer.AbstractPlotInstances
-
Returns the generated plot instances.
- getPlotInstances() - Method in class weka.gui.visualize.PlotData2D
-
Returns the instances for this plot
- getPlotName() - Method in class weka.gui.visualize.PlotData2D
-
Get the name of this plot
- getPlotNameHTML() - Method in class weka.gui.visualize.PlotData2D
-
Get the name of the plot for use in a tool tip text.
- getPlotPanel() - Method in class weka.gui.visualize.VisualizePanel
-
Returns the underlying plot panel.
- getPlots() - Method in class weka.gui.visualize.Plot2D
-
Return the list of plots
- getPlots() - Method in class weka.knowledgeflow.steps.DataVisualizer
-
- getPlots() - Method in class weka.knowledgeflow.steps.ModelPerformanceChart
-
Get the plots currently stored in this step
- getPlotShapes() - Method in class weka.gui.explorer.ClassifierErrorsPlotInstances
-
Get the vector of plot shapes (see weka.gui.visualize.Plot2D).
- getPlotSizes() - Method in class weka.gui.explorer.ClassifierErrorsPlotInstances
-
Get the vector of plot sizes (see weka.gui.visualize.Plot2D).
- getPlotTrainingData() - Method in class weka.gui.boundaryvisualizer.BoundaryPanel
-
Returns true if training data is to be superimposed
- getPlotTrainingData() - Method in class weka.knowledgeflow.steps.BoundaryPlotter
-
Get whether to superimpose the training data points on the plot or not
- getPluginInstance(String, String) - Static method in class weka.core.PluginManager
-
Get an instance of a concrete implementation of a plugin type
- getPluginInstance(String, String) - Static method in class weka.gui.beans.PluginManager
-
Deprecated.
Get an instance of a concrete implementation of a plugin type
- getPluginMetric(String) - Method in class weka.classifiers.evaluation.Evaluation
-
Get the named plugin evaluation metric
- getPluginMetric(String) - Method in class weka.classifiers.Evaluation
-
Get the named plugin evaluation metric
- getPluginMetricNames() - Static method in class weka.classifiers.evaluation.EvaluationMetricHelper
-
Get a list of plugin metric names
- getPluginMetrics() - Static method in class weka.classifiers.evaluation.AbstractEvaluationMetric
-
Gets a list of freshly instantiated concrete implementations of available
plugin metrics or null if there are no plugin metrics available
- getPluginMetrics() - Method in class weka.classifiers.evaluation.Evaluation
-
Returns the list of plugin metrics in use (or null if there are none)
- getPluginMetrics() - Method in class weka.classifiers.Evaluation
-
Returns the list of plugin metrics in use (or null if there are none)
- getPluginNamesOfType(String) - Static method in class weka.core.PluginManager
-
Get a set of names of plugins that implement the supplied interface.
- getPluginNamesOfType(String) - Static method in class weka.gui.beans.PluginManager
-
Deprecated.
Get a set of names of plugins that implement the supplied interface.
- getPluginNamesOfTypeList(String) - Static method in class weka.core.PluginManager
-
Get a sorted list of names of plugins that implement the supplied interface.
- getPluginResourceAsStream(String, String) - Static method in class weka.core.PluginManager
-
Get an input stream for a named resource under a given resource group ID.
- getPluginResourceAsStream(String, String) - Static method in class weka.gui.beans.PluginManager
-
Deprecated.
Get an input stream for a named resource under a given resource group ID.
- getPluginTemplateDescriptions() - Method in class weka.gui.knowledgeflow.TemplateManager
-
Get descriptions for plugin knowledge flow templates
- getPluginTemplateFlow(String) - Method in class weka.gui.knowledgeflow.TemplateManager
-
Get the plugin template flow corresponding to the description
- getPMMLModel(String) - Static method in class weka.core.pmml.PMMLFactory
-
Read and return a PMML model.
- getPMMLModel(File) - Static method in class weka.core.pmml.PMMLFactory
-
Read and return a PMML model.
- getPMMLModel(InputStream) - Static method in class weka.core.pmml.PMMLFactory
-
Read and return a PMML model.
- getPMMLModel(String, Logger) - Static method in class weka.core.pmml.PMMLFactory
-
Read and return a PMML model.
- getPMMLModel(File, Logger) - Static method in class weka.core.pmml.PMMLFactory
-
Read and return a PMML model.
- getPMMLModel(InputStream, Logger) - Static method in class weka.core.pmml.PMMLFactory
-
Read and return a PMML model.
- getPMMLVersion() - Method in class weka.classifiers.pmml.consumer.PMMLClassifier
-
Get the PMML version used for this model.
- getPMMLVersion() - Method in interface weka.core.pmml.PMMLModel
-
Get the version of PMML used to encode this model.
- getPointSizeProportionalToMargin() - Method in class weka.gui.explorer.ClassifierErrorsPlotInstances
-
Get whether the point size should be proportional to the prediction margin
(classification only).
- getPoissonDistribution() - Method in class weka.core.pmml.jaxbbindings.Alternate
-
Gets the value of the poissonDistribution property.
- getPoissonDistribution() - Method in class weka.core.pmml.jaxbbindings.Baseline
-
Gets the value of the poissonDistribution property.
- getPoolSize() - Method in class weka.attributeSelection.CfsSubsetEval
-
Gets the number of threads.
- getPoolSize() - Method in class weka.classifiers.meta.IterativeClassifierOptimizer
-
Gets the number of threads.
- getPoolSize() - Method in class weka.classifiers.meta.LogitBoost
-
Gets the number of threads.
- getPopulationSize() - Method in class weka.classifiers.bayes.net.search.global.GeneticSearch
-
- getPopulationSize() - Method in class weka.classifiers.bayes.net.search.local.GeneticSearch
-
- getPopup() - Method in class weka.gui.GenericObjectEditor.CapabilitiesFilterDialog
-
returns the currently set JPopupMenu.
- getPositionX(int) - Method in class weka.classifiers.bayes.net.EditableBayesNet
-
get x position of a node
- getPositionY(int) - Method in class weka.classifiers.bayes.net.EditableBayesNet
-
get y position of a node
- getPositiveIndex() - Method in class weka.associations.FPGrowth
-
Get the index of the attribute value to consider as positive for binary
attributes in normal dense instances.
- getPositiveTargetFieldDisplayValue() - Method in class weka.core.pmml.jaxbbindings.ROC
-
Gets the value of the positiveTargetFieldDisplayValue property.
- getPositiveTargetFieldValue() - Method in class weka.core.pmml.jaxbbindings.ROC
-
Gets the value of the positiveTargetFieldValue property.
- getPossibleSplits(SplitMetric) - Method in class weka.classifiers.trees.ht.ActiveHNode
-
Returns a list of split candidates
- getPostProcessor() - Method in class weka.core.CheckScheme
-
returns the current PostProcessor, can be null
- getPostProcessor() - Method in class weka.estimators.CheckEstimator
-
returns the current PostProcessor, can be null
- getPParameter() - Method in class weka.core.pmml.jaxbbindings.Minkowski
-
Gets the value of the pParameter property.
- getPPCell() - Method in class weka.core.pmml.jaxbbindings.PPMatrix
-
Gets the value of the ppCell property.
- getPRCArea(Instances) - Static method in class weka.classifiers.evaluation.ThresholdCurve
-
Calculates the area under the precision-recall curve (AUPRC).
- getPreBuiltClassifiers() - Method in class weka.classifiers.meta.Vote
-
Get the paths to pre-built serialized classifiers to load and include in
the ensemble
- getPrecision() - Method in class weka.classifiers.evaluation.TwoClassStats
-
Calculate the precision.
- getPrecision() - Method in class weka.core.pmml.jaxbbindings.VerificationField
-
Gets the value of the precision property.
- getPrecision() - Method in class weka.estimators.KernelEstimator
-
Return the precision of this kernel estimator.
- getPrecision() - Method in class weka.estimators.NormalEstimator
-
Return the value of the precision of this normal estimator.
- getPrecludedPackages(List<Package>) - Method in class weka.core.packageManagement.DefaultPackage
-
Compares this package's precluded list (if any) against the list of
supplied packages.
- getPrecludedPackages(List<Package>) - Method in class weka.core.packageManagement.Package
-
Compares this package's precluded list (if any) against the list of
supplied packages.
- getPreComputeCorrelationMatrix() - Method in class weka.attributeSelection.CfsSubsetEval
-
Get whether to pre-compute the full correlation matrix at the outset,
rather than computing individual correlations lazily (as needed) during the
search.
- getPrediction(Classifier, Instance) - Method in class weka.classifiers.evaluation.EvaluationUtils
-
Generate a single prediction for a test instance given the pre-trained
classifier.
- getPredictions() - Method in class weka.classifiers.evaluation.output.prediction.InMemory
-
Returns the collected predictions.
- getPredictiveModelQuality() - Method in class weka.core.pmml.jaxbbindings.ModelExplanation
-
Gets the value of the predictiveModelQuality property.
- getPredictor() - Method in class weka.core.pmml.jaxbbindings.CovariateList
-
Gets the value of the predictor property.
- getPredictor() - Method in class weka.core.pmml.jaxbbindings.FactorList
-
Gets the value of the predictor property.
- getPredictorName() - Method in class weka.core.pmml.jaxbbindings.PPCell
-
Gets the value of the predictorName property.
- getPredictorTerm() - Method in class weka.core.pmml.jaxbbindings.RegressionTable
-
Gets the value of the predictorTerm property.
- getPredTargetColumn() - Method in class weka.experiment.ClassifierSplitEvaluator
-
- getPreferredScrollableViewportSize() - Method in class weka.gui.AttributeSelectionPanel
-
- getPrefix() - Method in class weka.gui.beans.SerializedModelSaver
-
Get the prefix to prepend to the model file names.
- getPremise() - Method in class weka.associations.AssociationRule
-
Get the premise of this rule.
- getPremise() - Method in class weka.associations.DefaultAssociationRule
-
- getPremiseSupport() - Method in class weka.associations.AssociationRule
-
Get the support for the premise.
- getPremiseSupport() - Method in class weka.associations.DefaultAssociationRule
-
- getPreprocessing() - Method in class weka.filters.unsupervised.attribute.KernelFilter
-
Gets the filter used for preprocessing
- getPreprocessPanel() - Method in class weka.gui.explorer.Explorer
-
returns the instance of the PreprocessPanel being used in this instance of
the Explorer
- getPreserveInstancesOrder() - Method in class weka.clusterers.SimpleKMeans
-
Gets whether order of instances must be preserved.
- getPreserveOrder() - Method in class weka.gui.beans.CrossValidationFoldMaker
-
Returns true if the order of the incoming instances is to be preserved
under cross-validation (no randomization or stratification is done in this
case).
- getPreserveOrder() - Method in class weka.knowledgeflow.steps.CrossValidationFoldMaker
-
Get whether to preserve the order of the input instances when creatinbg
the folds
- getPreserveOrder() - Method in class weka.knowledgeflow.steps.TrainTestSplitMaker
-
Get whether to preserve the order of the instances or not
- getPreserveOrderInPercentageSplitEvaluation() - Method in class weka.classifiers.meta.IterativeClassifierOptimizer
-
Get the value of PreserveOrderInPercentageSplitEvaluation.
- getPrimaryMetricName() - Method in class weka.associations.AssociationRule
-
Get the name of the primary metric of this rule (e.g.
- getPrimaryMetricName() - Method in class weka.associations.DefaultAssociationRule
-
- getPrimaryMetricValue() - Method in class weka.associations.AssociationRule
-
Get the value of the metric for this rule.
- getPrimaryMetricValue() - Method in class weka.associations.DefaultAssociationRule
-
- getPrimaryPayload() - Method in class weka.knowledgeflow.Data
-
Get the primary payload of this data object (i.e.
- getPrintClassifiers() - Method in class weka.classifiers.meta.Bagging
-
Get whether to print the individual ensemble classifiers in the output
- getPrintColNames() - Method in class weka.experiment.ResultMatrix
-
returns whether column names or numbers instead are printed.
- getPrintLeafModels() - Method in class weka.classifiers.trees.HoeffdingTree
-
- getPrintNewick() - Method in class weka.clusterers.HierarchicalClusterer
-
- getPrintRowNames() - Method in class weka.experiment.ResultMatrix
-
returns whether row names or numbers instead are printed.
- getPriorProbability() - Method in class weka.core.pmml.jaxbbindings.TargetValue
-
Gets the value of the priorProbability property.
- getPriorProbability(String) - Method in class weka.core.pmml.TargetMetaInfo
-
Get the prior probability for the supplied value.
- getProbabilities() - Method in class weka.gui.boundaryvisualizer.RemoteResult
-
Return the probability distributions for this row in the visualization
- getProbability(int, int, int) - Method in class weka.classifiers.bayes.BayesNet
-
get particular probability of the conditional probability distribtion of a
node given its parents.
- getProbability(double) - Method in class weka.classifiers.bayes.net.estimate.DiscreteEstimatorBayes
-
Get a probability estimate for a value
- getProbability() - Method in class weka.core.pmml.jaxbbindings.ScoreDistribution
-
Gets the value of the probability property.
- getProbability(double, double) - Method in interface weka.estimators.ConditionalEstimator
-
Get a probability for a value conditional on another value
- getProbability(double, double) - Method in class weka.estimators.DDConditionalEstimator
-
Get a probability estimate for a value
- getProbability(double) - Method in class weka.estimators.DiscreteEstimator
-
Get a probability estimate for a value
- getProbability(double, double) - Method in class weka.estimators.DKConditionalEstimator
-
Get a probability estimate for a value
- getProbability(double, double) - Method in class weka.estimators.DNConditionalEstimator
-
Get a probability estimate for a value
- getProbability(double) - Method in class weka.estimators.Estimator
-
Get a probability estimate for a value.
- getProbability(double, double) - Method in class weka.estimators.KDConditionalEstimator
-
Get a probability estimate for a value
- getProbability(double) - Method in class weka.estimators.KernelEstimator
-
Get a probability estimate for a value.
- getProbability(double, double) - Method in class weka.estimators.KKConditionalEstimator
-
Get a probability estimate for a value
- getProbability(double) - Method in class weka.estimators.MahalanobisEstimator
-
Get a probability estimate for a value
- getProbability(double, double) - Method in class weka.estimators.NDConditionalEstimator
-
Get a probability estimate for a value
- getProbability(double, double) - Method in class weka.estimators.NNConditionalEstimator
-
Get a probability estimate for a value
- getProbability(double) - Method in class weka.estimators.NormalEstimator
-
Get a probability estimate for a value
- getProbability(double) - Method in class weka.estimators.PoissonEstimator
-
Get a probability estimate for a value
- getProbability() - Method in class weka.filters.unsupervised.attribute.ReplaceWithMissingValue
-
Get the probability.
- getProducer() - Method in class weka.associations.AssociationRules
-
Get a string describing the scheme that produced these rules.
- getProgressBar() - Method in class weka.gui.graphvisualizer.HierarchicalBCEngine
-
Returns a handle to the progressBar of this LayoutEngine.
- getProgressBar() - Method in interface weka.gui.graphvisualizer.LayoutEngine
-
This method returns the progress bar for the LayoutEngine, which shows the
progress of the layout process, if it takes a while to layout the graph
- getProlog() - Method in class weka.core.OptionHandlerJavadoc
-
whether "Valid options are..." prolog is included in the Javadoc
- getProlog() - Method in class weka.core.TechnicalInformationHandlerJavadoc
-
whether "Valid options are..." prolog is included in the Javadoc
- getPrologue() - Method in class weka.datagenerators.DataGenerator
-
Gets the prologue string.
- getProperties() - Method in class weka.core.converters.DatabaseConnection
-
Returns the underlying properties object.
- getProperties() - Static method in class weka.gui.experiment.ExperimenterDefaults
-
returns the associated properties file.
- getProperties() - Static method in class weka.gui.explorer.ExplorerDefaults
-
returns the associated properties file.
- getProperty(String) - Method in class weka.core.EnvironmentProperties
-
- getProperty() - Method in class weka.core.pmml.FieldMetaInfo.Value
-
- getProperty() - Method in class weka.core.pmml.jaxbbindings.Value
-
Gets the value of the property property.
- getPropertyArray() - Method in class weka.experiment.Experiment
-
Gets the array of values to set the custom property to.
- getPropertyArrayLength() - Method in class weka.experiment.Experiment
-
Gets the number of custom iterator values that have been defined for the
experiment.
- getPropertyArrayValue(int) - Method in class weka.experiment.Experiment
-
Gets a specified value from the custom property iterator array.
- getPropertyDescriptor(Object, PropertyPath.Path) - Static method in class weka.core.PropertyPath
-
returns the property associated with the given path, null if a problem
occurred.
- getPropertyDescriptor(Object, String) - Static method in class weka.core.PropertyPath
-
returns the property associated with the given path
- getPropertyDescriptors() - Method in class weka.classifiers.misc.InputMappedClassifierBeanInfo
-
Get an array of PropertyDescriptors for the InputMappedClassifier's
public properties.
- getPropertyDescriptors() - Method in class weka.gui.beans.ClassAssignerBeanInfo
-
Returns the property descriptors
- getPropertyDescriptors() - Method in class weka.gui.beans.ClassifierPerformanceEvaluatorBeanInfo
-
Get the property descriptors for this bean
- getPropertyDescriptors() - Method in class weka.gui.beans.ClassValuePickerBeanInfo
-
Returns the property descriptors
- getPropertyDescriptors() - Method in class weka.gui.beans.CrossValidationFoldMakerBeanInfo
-
Return the property descriptors for this bean
- getPropertyDescriptors() - Method in class weka.gui.beans.IncrementalClassifierEvaluatorBeanInfo
-
Return the property descriptors for this bean
- getPropertyDescriptors() - Method in class weka.gui.beans.PredictionAppenderBeanInfo
-
Return the property descriptors for this bean
- getPropertyDescriptors() - Method in class weka.gui.beans.StripChartBeanInfo
-
Get the property descriptors for this bean
- getPropertyDescriptors() - Method in class weka.gui.beans.TrainTestSplitMakerBeanInfo
-
Get the property descriptors for this bean
- getPropertyGroupingCategory() - Method in class weka.gui.PropertySheetPanel
-
- getPropertyPath() - Method in class weka.experiment.Experiment
-
Gets the path of properties taken to get to the custom property to iterate
over.
- getPropsInternalRep() - Method in class weka.knowledgeflow.steps.StorePropertiesInEnvironment
-
- getPRow() - Method in class weka.core.pmml.jaxbbindings.PCovCell
-
Gets the value of the pRow property.
- getProxy() - Method in class weka.core.packageManagement.PackageManager
-
Get the proxy in use.
- getPruningMethod() - Method in class weka.classifiers.functions.supportVector.StringKernel
-
Gets the method used for pruning.
- getPValue() - Method in class weka.core.pmml.jaxbbindings.AnovaRow
-
Gets the value of the pValue property.
- getPValueAlpha() - Method in class weka.core.pmml.jaxbbindings.MultivariateStat
-
Gets the value of the pValueAlpha property.
- getPValueFinal() - Method in class weka.core.pmml.jaxbbindings.MultivariateStat
-
Gets the value of the pValueFinal property.
- getPValueInitial() - Method in class weka.core.pmml.jaxbbindings.MultivariateStat
-
Gets the value of the pValueInitial property.
- getQ() - Method in class weka.core.matrix.QRDecomposition
-
Generate and return the (economy-sized) orthogonal factor
- getQuality() - Method in class weka.gui.visualize.JPEGWriter
-
returns the quality the JPEG will be stored in.
- getQuantile() - Method in class weka.core.pmml.jaxbbindings.NumericInfo
-
Gets the value of the quantile property.
- getQuantileLimit() - Method in class weka.core.pmml.jaxbbindings.Quantile
-
Gets the value of the quantileLimit property.
- getQuantileValue() - Method in class weka.core.pmml.jaxbbindings.Quantile
-
Gets the value of the quantileValue property.
- getQuery() - Method in class weka.core.converters.DatabaseLoader
-
Gets the query to execute against the database
- getQuery() - Method in class weka.experiment.InstanceQuery
-
Get the query to execute against the database
- getQuery() - Method in class weka.gui.sql.event.QueryExecuteEvent
-
returns the query that was executed
- getQuery() - Method in class weka.gui.sql.event.ResultChangedEvent
-
returns the query that was executed
- getQuery() - Method in class weka.gui.sql.QueryPanel
-
returns the currently displayed query.
- getQuery() - Method in class weka.gui.sql.ResultSetTable
-
returns the query that produced the table model
- getQuery() - Method in class weka.gui.sql.SqlViewer
-
returns the query from the currently active tab in the ResultPanel,
otherwise an empty string.
- getQuery() - Method in class weka.gui.sql.SqlViewerDialog
-
returns the chosen query, if any.
- getQueryPanel() - Method in class weka.gui.sql.ResultPanel
-
returns the currently set QueryPanel, can be NULL
- getQuoteDelimiters() - Method in class weka.gui.scripting.SyntaxDocument
-
Returns the quote delimiter characters to use.
- getQuoteEscape() - Method in class weka.gui.scripting.SyntaxDocument
-
Returns the character for escaping a quote delimiter.
- getR() - Method in class weka.core.matrix.QRDecomposition
-
Return the upper triangular factor
- getRadius() - Method in class weka.core.neighboursearch.balltrees.BallNode
-
Returns the radius of the node's ball.
- getRaiseExceptionOnCommandFailure() - Method in class weka.knowledgeflow.steps.ExecuteProcess
-
Get to raise an exception when a command fails completely (i.e.
- getRandom() - Method in class weka.datagenerators.DataGenerator
-
Gets the random generator.
- getRandomizeData() - Method in class weka.experiment.ExplicitTestsetResultProducer
-
Get if dataset is to be randomized.
- getRandomizeData() - Method in class weka.experiment.RandomSplitResultProducer
-
Get if dataset is to be randomized
- getRandomLiftGraph() - Method in class weka.core.pmml.jaxbbindings.LiftData
-
Gets the value of the randomLiftGraph property.
- getRandomNumberGenerator(long) - Method in class weka.core.Instances
-
Returns a random number generator.
- getRandomOrder() - Method in class weka.classifiers.bayes.net.search.global.K2
-
Get random order flag
- getRandomOrder() - Method in class weka.classifiers.bayes.net.search.local.K2
-
Get random order flag
- getRandomSeed() - Method in class weka.classifiers.functions.SMO
-
Get the value of randomSeed.
- getRandomSeed() - Method in class weka.core.neighboursearch.balltrees.MedianDistanceFromArbitraryPoint
-
Returns the seed value of random number generator.
- getRandomSeed() - Method in class weka.filters.supervised.instance.Resample
-
Gets the random number seed.
- getRandomSeed() - Method in class weka.filters.supervised.instance.SpreadSubsample
-
Gets the random number seed.
- getRandomSeed() - Method in class weka.filters.unsupervised.attribute.AddNoise
-
Gets the random number seed.
- getRandomSeed() - Method in class weka.filters.unsupervised.instance.Randomize
-
Get the random number generator seed value.
- getRandomSeed() - Method in class weka.filters.unsupervised.instance.Resample
-
Gets the random number seed.
- getRandomSeed() - Method in class weka.filters.unsupervised.instance.ReservoirSample
-
Gets the random number seed.
- getRandomSeed() - Method in class weka.gui.explorer.ClassifierPanel
-
Get the random seed
- getRandomWidthFactor() - Method in class weka.classifiers.meta.MultiClassClassifier
-
Gets the multiplier when generating random codes.
- getRange() - Method in class weka.core.InstanceComparator
-
Returns the attribute range to use in the comparison.
- getRange(int) - Method in class weka.filters.unsupervised.attribute.PartitionedMultiFilter
-
Gets a single Range from the set of available Ranges.
- getRanges() - Method in class weka.core.NormalizableDistance
-
Method to get the ranges.
- getRanges() - Method in class weka.core.Range
-
Gets the string representing the selected range of values.
- getRanges() - Method in class weka.filters.unsupervised.attribute.PartitionedMultiFilter
-
Gets the list of possible Ranges to choose from.
- getRank() - Method in class weka.core.pmml.jaxbbindings.OutputField
-
Gets the value of the rank property.
- getRankBasis() - Method in class weka.core.pmml.jaxbbindings.OutputField
-
Gets the value of the rankBasis property.
- getRankingQuality() - Method in class weka.core.pmml.jaxbbindings.LiftData
-
Gets the value of the rankingQuality property.
- getRankOrder() - Method in class weka.core.pmml.jaxbbindings.OutputField
-
Gets the value of the rankOrder property.
- getRawOutput() - Method in class weka.experiment.CrossValidationResultProducer
-
Get if raw split evaluator output is to be saved
- getRawOutput() - Method in class weka.experiment.ExplicitTestsetResultProducer
-
Get if raw split evaluator output is to be saved.
- getRawOutput() - Method in class weka.experiment.RandomSplitResultProducer
-
Get if raw split evaluator output is to be saved
- getRawResultOutput() - Method in class weka.experiment.ClassifierSplitEvaluator
-
Gets the raw output from the classifier
- getRawResultOutput() - Method in class weka.experiment.DensityBasedClustererSplitEvaluator
-
Gets the raw output from the classifier
- getRawResultOutput() - Method in class weka.experiment.RegressionSplitEvaluator
-
Gets the raw output from the classifier
- getRawResultOutput() - Method in interface weka.experiment.SplitEvaluator
-
Returns the raw output for the most recent call to getResult.
- getReadable() - Method in class weka.core.Tag
-
Gets the string description of the Tag.
- getReader(String, String) - Static method in class weka.gui.Loader
-
returns a Reader for the given filename and dir, can be NULL if it fails
- getReader(String) - Method in class weka.gui.Loader
-
returns a Reader for the given filename, can be NULL if it fails
- getReadIncrementally() - Method in class weka.gui.SetInstancesPanel
-
Gets whether instances are to be read incrementally or not.
- getRealEigenvalues() - Method in class weka.core.matrix.EigenvalueDecomposition
-
Return the real parts of the eigenvalues
- getREALEntries() - Method in class weka.core.pmml.jaxbbindings.REALSparseArray
-
Gets the value of the realEntries property.
- getREALSparseArray() - Method in class weka.core.pmml.jaxbbindings.VectorInstance
-
Gets the value of the realSparseArray property.
- getReasonCode() - Method in class weka.core.pmml.jaxbbindings.Attribute
-
Gets the value of the reasonCode property.
- getReasonCode() - Method in class weka.core.pmml.jaxbbindings.Characteristic
-
Gets the value of the reasonCode property.
- getReasonCodeAlgorithm() - Method in class weka.core.pmml.jaxbbindings.Scorecard
-
Gets the value of the reasonCodeAlgorithm property.
- getRecall() - Method in class weka.classifiers.evaluation.TwoClassStats
-
Calculate the recall.
- getRecordCount() - Method in class weka.core.pmml.jaxbbindings.ModelVerification
-
Gets the value of the recordCount property.
- getRecordCount() - Method in class weka.core.pmml.jaxbbindings.Node
-
Gets the value of the recordCount property.
- getRecordCount() - Method in class weka.core.pmml.jaxbbindings.RuleSet
-
Gets the value of the recordCount property.
- getRecordCount() - Method in class weka.core.pmml.jaxbbindings.ScoreDistribution
-
Gets the value of the recordCount property.
- getRecordCount() - Method in class weka.core.pmml.jaxbbindings.SimpleRule
-
Gets the value of the recordCount property.
- getRecordCount() - Method in class weka.core.pmml.jaxbbindings.TrainingInstances
-
Gets the value of the recordCount property.
- getReducedErrorPruning() - Method in class weka.classifiers.rules.PART
-
Get the value of reducedErrorPruning.
- getReducedErrorPruning() - Method in class weka.classifiers.trees.J48
-
Get the value of reducedErrorPruning.
- getReduceNumberOfDistanceCalcsViaCanopies() - Method in class weka.clusterers.SimpleKMeans
-
Get whether to use canopies to reduce the number of distance computations
required
- getRefer() - Method in class weka.gui.treevisualizer.Node
-
Get the value of refer.
- getReferencePoint() - Method in class weka.core.pmml.jaxbbindings.Parameter
-
Gets the value of the referencePoint property.
- getRefreshFreq() - Method in class weka.gui.beans.StripChart
-
Get the refresh frequency
- getRefreshFreq() - Method in class weka.knowledgeflow.steps.StripChart
-
Get the refresh frequency
- getRefreshWidth() - Method in class weka.gui.beans.StripChart
-
Get how many pixels to shift the plot by every time a point is plotted
- getRefreshWidth() - Method in class weka.knowledgeflow.steps.StripChart
-
Get how many pixels to shift the plot by every time a point is plotted
- getRegex() - Method in class weka.gui.beans.SubstringLabelerRules.SubstringLabelerMatchRule
-
Get whether this is a regular expression match or not
- getRegex() - Method in class weka.gui.beans.SubstringReplacerRules.SubstringReplacerMatchRule
-
Get whether this is a regular expression match or not
- getRegexMatch() - Method in class weka.filters.RenameRelation
-
Get the match string for regex modifications
- getRegexMatch() - Method in class weka.knowledgeflow.steps.AlterRelationName
-
Get the match string for regex modifications
- getRegOptimizer() - Method in class weka.classifiers.functions.SMOreg
-
returns the learning algorithm
- getRegressionModel() - Method in class weka.core.pmml.jaxbbindings.Segment
-
Gets the value of the regressionModel property.
- getRegressionTable() - Method in class weka.core.pmml.jaxbbindings.Regression
-
Gets the value of the regressionTable property.
- getRegressionTree() - Method in class weka.classifiers.trees.m5.Rule
-
Get the value of regressionTree.
- getRegressionTree() - Method in class weka.classifiers.trees.m5.RuleNode
-
Get the value of regressionTree.
- getRelation() - Method in class weka.core.TestInstances
-
returns the current name of the relation
- getRelationalClassFormat() - Method in class weka.core.TestInstances
-
returns the current strcuture of the relational class attribute, can be
null
- getRelationalFormat(int) - Method in class weka.core.TestInstances
-
returns the format for the specified relational attribute, can be null
- getRelationFind() - Method in class weka.experiment.ExplicitTestsetResultProducer
-
Returns the currently set regular expression to use on the relation name.
- getRelationForTableName() - Method in class weka.core.converters.DatabaseSaver
-
Gets whether or not the relation name is used as name of the table.
- getRelationName() - Method in class weka.datagenerators.DataGenerator
-
Gets the relation name the dataset should have.
- getRelationNameForFilename() - Method in class weka.gui.beans.Saver
-
Get whether the relation name is the primary part of the filename.
- getRelationNameForFilename() - Method in class weka.knowledgeflow.steps.Saver
-
Get whether the relation name is the primary part of the filename.
- getRelationReplace() - Method in class weka.experiment.ExplicitTestsetResultProducer
-
Returns the currently set replacement string to use on the relation name.
- getRemoteHosts() - Method in class weka.experiment.RemoteExperiment
-
Get the list of remote host names
- getRemoveAllMissingCols() - Method in class weka.associations.Apriori
-
Returns whether columns containing all missing values are to be removed
- getRemoveClassColumn() - Method in class weka.experiment.DensityBasedClustererSplitEvaluator
-
Get whether the class column is to be removed.
- getRemoveFilter() - Method in class weka.filters.supervised.attribute.ClassConditionalProbabilities
-
Get the remove filter in use
- getRemoveFilterClassnames() - Static method in class weka.gui.experiment.ExperimenterDefaults
-
whether the filter classnames in the dataset names are removed by default.
- getRemoveFilterName() - Method in class weka.experiment.ResultMatrix
-
returns whether the filter classname is removed from the dataset name.
- getRemoveOldClass() - Method in class weka.filters.supervised.attribute.AddClassification
-
Get whether the old class attribute is removed.
- getRemoveUnused() - Method in class weka.filters.unsupervised.attribute.PartitionedMultiFilter
-
Gets whether unused attributes (ones that are not covered by any of the
ranges) are removed from the output.
- getRenderingHint(RenderingHints.Key) - Method in class weka.gui.visualize.PostscriptGraphics
-
- getRenderingHints() - Method in class weka.gui.visualize.PostscriptGraphics
-
- getRepetitions() - Static method in class weka.gui.experiment.ExperimenterDefaults
-
returns the number of repetitions to use.
- getReplace() - Method in class weka.filters.unsupervised.attribute.RenameAttribute
-
Returns the regular expression to replace matching attribute names with.
- getReplace() - Method in class weka.gui.beans.SubstringReplacerRules.SubstringReplacerMatchRule
-
Get the replace string
- getReplaceAll() - Method in class weka.filters.RenameRelation
-
Get whether to replace all regular expression matches, or just the first.
- getReplaceAll() - Method in class weka.filters.unsupervised.attribute.RenameAttribute
-
Returns whether all occurrences are replaced or just the first one.
- getReplaceAll() - Method in class weka.knowledgeflow.steps.AlterRelationName
-
Get whether to replace all regular expression matches, or just the first.
- getReplaceMissingValues() - Method in class weka.filters.unsupervised.attribute.RandomProjection
-
Gets the current setting for using ReplaceMissingValues filter
- getRepositoryPackageInfo(String) - Method in class weka.core.packageManagement.DefaultPackageManager
-
Get package information on the named package from the repository.
- getRepositoryPackageInfo(String, Object) - Method in class weka.core.packageManagement.DefaultPackageManager
-
Get package information on the named package from the repository.
- getRepositoryPackageInfo(String) - Method in class weka.core.packageManagement.PackageManager
-
Get package information on the named package from the repository.
- getRepositoryPackageInfo(String, Object) - Method in class weka.core.packageManagement.PackageManager
-
Get package information on the named package from the repository.
- getRepositoryPackageInfo(String) - Static method in class weka.core.WekaPackageManager
-
Get meta data for the latest version of a package from the repository
- getRepositoryPackageInfo(String, String) - Static method in class weka.core.WekaPackageManager
-
Get meta data for a specific version of a package from the repository
- getRepositoryPackageMetaDataOnlyAsZip(PrintStream...) - Method in class weka.core.packageManagement.DefaultPackageManager
-
Gets an array of bytes containing a zip of all the repository meta data and
supporting files.
- getRepositoryPackageMetaDataOnlyAsZip(PrintStream...) - Method in class weka.core.packageManagement.PackageManager
-
Gets an array of bytes containing a zip of all the repository meta data and
supporting files.
- getRepositoryPackageMetaDataOnlyAsZipLegacy(PrintStream...) - Method in class weka.core.packageManagement.DefaultPackageManager
-
Gets an array of bytes containing a zip of all the repository meta data and
supporting files using the legacy approach.
- getRepositoryPackageVersions(String) - Method in class weka.core.packageManagement.DefaultPackageManager
-
Get a list of available versions of the named package.
- getRepositoryPackageVersions(String) - Method in class weka.core.packageManagement.PackageManager
-
Get a list of available versions of the named package.
- getRepositoryPackageVersions(String) - Static method in class weka.core.WekaPackageManager
-
Get the versions of the supplied package available on the server
- getRepresentCopiesUsingWeights() - Method in class weka.classifiers.meta.Bagging
-
Get whether copies of instances are represented using weights rather than explicitly.
- getRescaleConstant() - Method in class weka.core.pmml.jaxbbindings.Target
-
Gets the value of the rescaleConstant property.
- getRescaleFactor() - Method in class weka.core.pmml.jaxbbindings.Target
-
Gets the value of the rescaleFactor property.
- getReset() - Method in class weka.classifiers.functions.MultilayerPerceptron
-
- getReset() - Method in class weka.gui.beans.ChartEvent
-
get the value of the reset flag
- getResetIncrementalClassifier() - Method in class weka.gui.beans.Classifier
-
Get whether to reset (by calling buildClassifier()) an incremental
classifier, and thus discarding any previously learned model, before
processing the first instance in the incoming stream.
- getResetIncrementalClassifier() - Method in class weka.knowledgeflow.steps.Classifier
-
Get whether to reset an incremental classifier at the start of an incoming
instance stream
- getResetValue() - Method in class weka.core.pmml.jaxbbindings.TestDistributions
-
Gets the value of the resetValue property.
- getResolvedName() - Method in class weka.filters.unsupervised.attribute.AddUserFields.AttributeSpec
-
Get the name of the attribute after substituting any environment
variables
- getResolvedType() - Method in class weka.filters.unsupervised.attribute.AddUserFields.AttributeSpec
-
Get the type of the attribute after substituting any environment
variables
- getResolvedValue() - Method in class weka.filters.unsupervised.attribute.AddUserFields.AttributeSpec
-
Get the value of the attribute after substituting any environment
variables
- getResource(String) - Method in class weka.core.WekaPackageLibIsolatingClassLoader
-
Find a named resource.
- getResources(String) - Method in class weka.core.WekaPackageLibIsolatingClassLoader
-
Find an enumeration of resources matching the supplied name.
- getResourcesWithGroupID(String) - Static method in class weka.core.PluginManager
-
Get a map of resources (description,path) registered under a given resource
group ID.
- getResourcesWithGroupID(String) - Static method in class weka.gui.beans.PluginManager
-
Deprecated.
Get a map of resources (description,path) registered under a given resource
group ID.
- getResult() - Method in class weka.core.json.Parser
-
Returns the JSON data structure.
- getResult(double[]) - Method in class weka.core.pmml.BuiltInArithmetic
-
Get the result of applying this function.
- getResult(double[]) - Method in class weka.core.pmml.BuiltInMath
-
Get the result of applying this function.
- getResult(double[]) - Method in class weka.core.pmml.BuiltInString
-
Get the result of applying this function.
- getResult(double[]) - Method in class weka.core.pmml.Constant
-
Get the result of evaluating the expression.
- getResult(double[]) - Method in class weka.core.pmml.DefineFunction
-
Get the result of applying this function.
- getResult(double[]) - Method in class weka.core.pmml.Discretize
-
Get the result of evaluating the expression.
- getResult(double[]) - Method in class weka.core.pmml.Expression
-
Get the result of evaluating the expression.
- getResult(double[]) - Method in class weka.core.pmml.FieldRef
-
- getResult(double[]) - Method in class weka.core.pmml.Function
-
Get the result of applying this function.
- getResult(double[]) - Method in class weka.core.pmml.NormContinuous
-
Get the result of evaluating the expression.
- getResult(double[]) - Method in class weka.core.pmml.NormDiscrete
-
Get the result of evaluating the expression.
- getResult(Instances, Instances) - Method in class weka.experiment.ClassifierSplitEvaluator
-
Gets the results for the supplied train and test datasets.
- getResult(Instances, Instances) - Method in class weka.experiment.CostSensitiveClassifierSplitEvaluator
-
Gets the results for the supplied train and test datasets.
- getResult(Instances, Instances) - Method in class weka.experiment.DensityBasedClustererSplitEvaluator
-
Gets the results for the supplied train and test datasets.
- getResult(Instances, Instances) - Method in class weka.experiment.RegressionSplitEvaluator
-
Gets the results for the supplied train and test datasets.
- getResult(Instances, Instances) - Method in interface weka.experiment.SplitEvaluator
-
Gets the results for the supplied train and test datasets.
- getResult() - Method in class weka.gui.experiment.OutputFormatDialog
-
the result from the last display of the dialog, the same is returned from
showDialog
.
- getResult() - Method in class weka.knowledgeflow.ExecutionResult
-
Get the result generated by the StepTask
- getResultCategorical(double[]) - Method in class weka.core.pmml.Constant
-
Gets the result of evaluating the expression when the
optype is categorical or ordinal as the actual String
value.
- getResultCategorical(double[]) - Method in class weka.core.pmml.Discretize
-
Gets the result of evaluating the expression when the optype is categorical
or ordinal as the actual String value.
- getResultCategorical(double[]) - Method in class weka.core.pmml.Expression
-
Gets the result of evaluating the expression when the
optype is categorical or ordinal as the actual String
value.
- getResultCategorical(double[]) - Method in class weka.core.pmml.FieldRef
-
- getResultCategorical(double[]) - Method in class weka.core.pmml.NormContinuous
-
Always throws an Exception since the result of NormContinuous must
be continuous.
- getResultCategorical(double[]) - Method in class weka.core.pmml.NormDiscrete
-
Always throws an Exception since the result of NormDiscrete must
be continuous.
- getResultContinuous(double[]) - Method in class weka.core.pmml.Expression
-
Get the result of evaluating the expression for continuous
optype.
- getResultData() - Method in class weka.knowledgeflow.JobEnvironment
-
Get a map of all the result data objects
- getResultDataOfType(String) - Method in class weka.knowledgeflow.JobEnvironment
-
Get a list of any result data objects of the supplied connection type
- getResultField() - Method in class weka.core.pmml.jaxbbindings.DecisionTree
-
Gets the value of the resultField property.
- getResultField() - Method in class weka.core.pmml.jaxbbindings.Regression
-
Gets the value of the resultField property.
- getResultFromTable(String, ResultProducer, Object[]) - Method in class weka.experiment.DatabaseUtils
-
Executes a database query to extract a result for the supplied key from the
database.
- getResultHistory() - Method in class weka.gui.explorer.ClassifierPanel
-
Get the result history panel
- getResultInverse(double[]) - Method in class weka.core.pmml.NormContinuous
-
Compute the inverse of the normalization (i.e.
- getResultListener() - Method in class weka.experiment.Experiment
-
Gets the result listener where results will be sent.
- getResultMatrix() - Method in class weka.experiment.PairedTTester
-
Gets the instance that produces the output.
- getResultMatrix() - Method in interface weka.experiment.Tester
-
Gets the instance that produces the output.
- getResultMatrix() - Method in class weka.gui.experiment.OutputFormatDialog
-
Gets the currently selected output format result matrix.
- getResultNames() - Method in class weka.experiment.AveragingResultProducer
-
Gets the names of each of the columns produced for a single run.
- getResultNames() - Method in class weka.experiment.ClassifierSplitEvaluator
-
Gets the names of each of the result columns produced for a single run.
- getResultNames() - Method in class weka.experiment.CostSensitiveClassifierSplitEvaluator
-
Gets the names of each of the result columns produced for a single run.
- getResultNames() - Method in class weka.experiment.CrossValidationResultProducer
-
Gets the names of each of the columns produced for a single run.
- getResultNames() - Method in class weka.experiment.DatabaseResultProducer
-
Gets the names of each of the columns produced for a single run.
- getResultNames() - Method in class weka.experiment.DensityBasedClustererSplitEvaluator
-
Gets the names of each of the result columns produced for a single run.
- getResultNames() - Method in class weka.experiment.ExplicitTestsetResultProducer
-
Gets the names of each of the columns produced for a single run.
- getResultNames() - Method in class weka.experiment.LearningRateResultProducer
-
Gets the names of each of the columns produced for a single run.
- getResultNames() - Method in class weka.experiment.RandomSplitResultProducer
-
Gets the names of each of the columns produced for a single run.
- getResultNames() - Method in class weka.experiment.RegressionSplitEvaluator
-
Gets the names of each of the result columns produced for a single run.
- getResultNames() - Method in interface weka.experiment.ResultProducer
-
Gets the names of each of the result columns produced for a single run.
- getResultNames() - Method in interface weka.experiment.SplitEvaluator
-
Gets the names of each of the result columns produced for a single run.
- getResultProducer() - Method in class weka.experiment.AveragingResultProducer
-
Get the ResultProducer.
- getResultProducer() - Method in class weka.experiment.DatabaseResultProducer
-
Get the ResultProducer.
- getResultProducer() - Method in class weka.experiment.Experiment
-
Get the result producer used for the current experiment.
- getResultProducer() - Method in class weka.experiment.LearningRateResultProducer
-
Get the ResultProducer.
- getResults() - Method in class weka.knowledgeflow.steps.TextViewer
-
Get the textual results stored in this step
- getResultSet() - Method in class weka.experiment.DatabaseUtils
-
Gets the results generated by a previous query.
- getResultSet() - Method in class weka.gui.sql.event.QueryExecuteEvent
-
returns the resultset that was produced, can be null in case the query
failed
- getResultSet() - Method in class weka.gui.sql.ResultSetHelper
-
the underlying resultset.
- getResultsetKeyColumns() - Method in class weka.experiment.PairedTTester
-
Get the value of ResultsetKeyColumns.
- getResultsetKeyColumns() - Method in interface weka.experiment.Tester
-
Get the value of ResultsetKeyColumns.
- getResultsetName(int) - Method in class weka.experiment.PairedTTester
-
Gets a string descriptive of the specified resultset.
- getResultsetName(int) - Method in interface weka.experiment.Tester
-
Gets a string descriptive of the specified resultset.
- getResultsTableName(ResultProducer) - Method in class weka.experiment.DatabaseUtils
-
Gets the name of the experiment table that stores results from a particular
ResultProducer.
- getResultTypes() - Method in class weka.experiment.AveragingResultProducer
-
Gets the data types of each of the columns produced for a single run.
- getResultTypes() - Method in class weka.experiment.ClassifierSplitEvaluator
-
Gets the data types of each of the result columns produced for a single
run.
- getResultTypes() - Method in class weka.experiment.CostSensitiveClassifierSplitEvaluator
-
Gets the data types of each of the result columns produced for a single
run.
- getResultTypes() - Method in class weka.experiment.CrossValidationResultProducer
-
Gets the data types of each of the columns produced for a single run.
- getResultTypes() - Method in class weka.experiment.DatabaseResultProducer
-
Gets the data types of each of the columns produced for a single run.
- getResultTypes() - Method in class weka.experiment.DensityBasedClustererSplitEvaluator
-
Gets the data types of each of the result columns produced for a single
run.
- getResultTypes() - Method in class weka.experiment.ExplicitTestsetResultProducer
-
Gets the data types of each of the columns produced for a single run.
- getResultTypes() - Method in class weka.experiment.LearningRateResultProducer
-
Gets the data types of each of the columns produced for a single run.
- getResultTypes() - Method in class weka.experiment.RandomSplitResultProducer
-
Gets the data types of each of the columns produced for a single run.
- getResultTypes() - Method in class weka.experiment.RegressionSplitEvaluator
-
Gets the data types of each of the result columns produced for a single
run.
- getResultTypes() - Method in interface weka.experiment.ResultProducer
-
Gets the data types of each of the result columns produced for a
single run.
- getResultTypes() - Method in interface weka.experiment.SplitEvaluator
-
Gets the data types of each of the result columns produced for a
single run.
- getResume() - Method in class weka.classifiers.functions.MultilayerPerceptron
-
Returns true if the model is to be finalized (or has been finalized) after
training.
- getResume() - Method in interface weka.classifiers.IterativeClassifier
-
Returns true if the classifier will be able to be trained further (with
more iterations) at a later date.
- getResume() - Method in class weka.classifiers.meta.AdaBoostM1
-
Returns true if the model is to be finalized (or has been finalized) after
training.
- getResume() - Method in class weka.classifiers.meta.AdditiveRegression
-
Returns true if the model is to be finalized (or has been finalized) after
training.
- getResume() - Method in class weka.classifiers.meta.FilteredClassifier
-
Returns true if the model is to be finalized (or has been finalized) after
training.
- getResume() - Method in class weka.classifiers.meta.LogitBoost
-
Returns true if the model is to be finalized (or has been finalized) after
training.
- getRetainStringVals() - Method in class weka.core.converters.ArffLoader
-
Get whether to retain the values of string attributes in memory (in the
header) when reading incrementally.
- getRetainStringValues() - Method in class weka.core.converters.ArffLoader.ArffReader
-
Get whether to retain the values of string attributes in memory (in the
header) when reading incrementally.
- getReturnValue() - Method in class weka.gui.DatabaseConnectionDialog
-
Returns which of OK or cancel was clicked from dialog
- getReturnValue() - Method in class weka.gui.sql.SqlViewerDialog
-
returns whether the user clicked OK (JOptionPane.OK_OPTION) or whether he
cancelled the dialog (JOptionPane.CANCEL_OPTION).
- getRevision() - Method in class weka.associations.AbstractAssociator
-
Returns the revision string.
- getRevision() - Method in class weka.associations.Apriori
-
Returns the revision string.
- getRevision() - Method in class weka.associations.AprioriItemSet
-
Returns the revision string.
- getRevision() - Method in class weka.associations.AssociatorEvaluation
-
Returns the revision string.
- getRevision() - Method in class weka.associations.CheckAssociator
-
Returns the revision string.
- getRevision() - Method in class weka.associations.FilteredAssociator
-
Returns the revision string.
- getRevision() - Method in class weka.associations.FPGrowth
-
Returns the revision string.
- getRevision() - Method in class weka.associations.ItemSet
-
Returns the revision string.
- getRevision() - Method in class weka.associations.LabeledItemSet
-
Returns the revision string.
- getRevision() - Method in class weka.attributeSelection.ASEvaluation
-
Returns the revision string.
- getRevision() - Method in class weka.attributeSelection.ASSearch
-
Returns the revision string.
- getRevision() - Method in class weka.attributeSelection.AttributeSelection
-
Returns the revision string.
- getRevision() - Method in class weka.attributeSelection.BestFirst
-
Returns the revision string.
- getRevision() - Method in class weka.attributeSelection.BestFirst.Link2
-
Returns the revision string.
- getRevision() - Method in class weka.attributeSelection.BestFirst.LinkedList2
-
Returns the revision string.
- getRevision() - Method in class weka.attributeSelection.CfsSubsetEval
-
Returns the revision string.
- getRevision() - Method in class weka.attributeSelection.CheckAttributeSelection
-
Returns the revision string.
- getRevision() - Method in class weka.attributeSelection.ClassifierAttributeEval
-
Returns the revision string.
- getRevision() - Method in class weka.attributeSelection.ClassifierSubsetEval
-
Returns the revision string.
- getRevision() - Method in class weka.attributeSelection.CorrelationAttributeEval
-
Returns the revision string.
- getRevision() - Method in class weka.attributeSelection.GainRatioAttributeEval
-
Returns the revision string.
- getRevision() - Method in class weka.attributeSelection.GreedyStepwise
-
Returns the revision string.
- getRevision() - Method in class weka.attributeSelection.InfoGainAttributeEval
-
Returns the revision string.
- getRevision() - Method in class weka.attributeSelection.OneRAttributeEval
-
Returns the revision string.
- getRevision() - Method in class weka.attributeSelection.PrincipalComponents
-
Returns the revision string.
- getRevision() - Method in class weka.attributeSelection.Ranker
-
Returns the revision string.
- getRevision() - Method in class weka.attributeSelection.ReliefFAttributeEval
-
Returns the revision string.
- getRevision() - Method in class weka.attributeSelection.SymmetricalUncertAttributeEval
-
Returns the revision string.
- getRevision() - Method in class weka.attributeSelection.WrapperSubsetEval
-
Returns the revision string.
- getRevision() - Method in class weka.classifiers.AbstractClassifier
-
Returns the revision string.
- getRevision() - Method in class weka.classifiers.bayes.BayesNet
-
Returns the revision string.
- getRevision() - Method in class weka.classifiers.bayes.NaiveBayes
-
Returns the revision string.
- getRevision() - Method in class weka.classifiers.bayes.NaiveBayesMultinomial
-
Returns the revision string.
- getRevision() - Method in class weka.classifiers.bayes.NaiveBayesMultinomialText
-
Returns the revision string.
- getRevision() - Method in class weka.classifiers.bayes.NaiveBayesMultinomialUpdateable
-
Returns the revision string.
- getRevision() - Method in class weka.classifiers.bayes.NaiveBayesUpdateable
-
Returns the revision string.
- getRevision() - Method in class weka.classifiers.bayes.net.ADNode
-
Returns the revision string.
- getRevision() - Method in class weka.classifiers.bayes.net.BayesNetGenerator
-
Returns the revision string.
- getRevision() - Method in class weka.classifiers.bayes.net.BIFReader
-
Returns the revision string.
- getRevision() - Method in class weka.classifiers.bayes.net.EditableBayesNet
-
Returns the revision string.
- getRevision() - Method in class weka.classifiers.bayes.net.estimate.BayesNetEstimator
-
Returns the revision string.
- getRevision() - Method in class weka.classifiers.bayes.net.estimate.BMAEstimator
-
Returns the revision string.
- getRevision() - Method in class weka.classifiers.bayes.net.estimate.DiscreteEstimatorBayes
-
Returns the revision string.
- getRevision() - Method in class weka.classifiers.bayes.net.estimate.DiscreteEstimatorFullBayes
-
Returns the revision string.
- getRevision() - Method in class weka.classifiers.bayes.net.estimate.MultiNomialBMAEstimator
-
Returns the revision string.
- getRevision() - Method in class weka.classifiers.bayes.net.estimate.SimpleEstimator
-
Returns the revision string.
- getRevision() - Method in class weka.classifiers.bayes.net.MarginCalculator
-
Returns the revision string.
- getRevision() - Method in class weka.classifiers.bayes.net.MarginCalculator.JunctionTreeNode
-
Returns the revision string.
- getRevision() - Method in class weka.classifiers.bayes.net.MarginCalculator.JunctionTreeSeparator
-
Returns the revision string.
- getRevision() - Method in class weka.classifiers.bayes.net.ParentSet
-
Returns the revision string.
- getRevision() - Method in class weka.classifiers.bayes.net.search.ci.CISearchAlgorithm
-
Returns the revision string.
- getRevision() - Method in class weka.classifiers.bayes.net.search.ci.ICSSearchAlgorithm
-
Returns the revision string.
- getRevision() - Method in class weka.classifiers.bayes.net.search.fixed.FromFile
-
Returns the revision string.
- getRevision() - Method in class weka.classifiers.bayes.net.search.fixed.NaiveBayes
-
Returns the revision string.
- getRevision() - Method in class weka.classifiers.bayes.net.search.global.GeneticSearch
-
Returns the revision string.
- getRevision() - Method in class weka.classifiers.bayes.net.search.global.GlobalScoreSearchAlgorithm
-
Returns the revision string.
- getRevision() - Method in class weka.classifiers.bayes.net.search.global.HillClimber
-
Returns the revision string.
- getRevision() - Method in class weka.classifiers.bayes.net.search.global.K2
-
Returns the revision string.
- getRevision() - Method in class weka.classifiers.bayes.net.search.global.RepeatedHillClimber
-
Returns the revision string.
- getRevision() - Method in class weka.classifiers.bayes.net.search.global.SimulatedAnnealing
-
Returns the revision string.
- getRevision() - Method in class weka.classifiers.bayes.net.search.global.TabuSearch
-
Returns the revision string.
- getRevision() - Method in class weka.classifiers.bayes.net.search.global.TAN
-
Returns the revision string.
- getRevision() - Method in class weka.classifiers.bayes.net.search.local.GeneticSearch
-
Returns the revision string.
- getRevision() - Method in class weka.classifiers.bayes.net.search.local.HillClimber
-
Returns the revision string.
- getRevision() - Method in class weka.classifiers.bayes.net.search.local.K2
-
Returns the revision string.
- getRevision() - Method in class weka.classifiers.bayes.net.search.local.LAGDHillClimber
-
Returns the revision string.
- getRevision() - Method in class weka.classifiers.bayes.net.search.local.LocalScoreSearchAlgorithm
-
Returns the revision string.
- getRevision() - Method in class weka.classifiers.bayes.net.search.local.RepeatedHillClimber
-
Returns the revision string.
- getRevision() - Method in class weka.classifiers.bayes.net.search.local.SimulatedAnnealing
-
Returns the revision string.
- getRevision() - Method in class weka.classifiers.bayes.net.search.local.TabuSearch
-
Returns the revision string.
- getRevision() - Method in class weka.classifiers.bayes.net.search.local.TAN
-
Returns the revision string.
- getRevision() - Method in class weka.classifiers.bayes.net.search.SearchAlgorithm
-
Returns the revision string.
- getRevision() - Method in class weka.classifiers.bayes.net.VaryNode
-
Returns the revision string.
- getRevision() - Method in class weka.classifiers.BVDecompose
-
Returns the revision string.
- getRevision() - Method in class weka.classifiers.BVDecomposeSegCVSub
-
Returns the revision string.
- getRevision() - Method in class weka.classifiers.CheckClassifier
-
Returns the revision string.
- getRevision() - Method in class weka.classifiers.CheckSource
-
Returns the revision string.
- getRevision() - Method in class weka.classifiers.CostMatrix
-
Returns the revision string.
- getRevision() - Method in class weka.classifiers.evaluation.ConfusionMatrix
-
Returns the revision string.
- getRevision() - Method in class weka.classifiers.evaluation.CostCurve
-
Returns the revision string.
- getRevision() - Method in class weka.classifiers.evaluation.Evaluation
-
Returns the revision string.
- getRevision() - Method in class weka.classifiers.evaluation.EvaluationUtils
-
Returns the revision string.
- getRevision() - Method in class weka.classifiers.Evaluation
-
- getRevision() - Method in class weka.classifiers.evaluation.MarginCurve
-
Returns the revision string.
- getRevision() - Method in class weka.classifiers.evaluation.NominalPrediction
-
Returns the revision string.
- getRevision() - Method in class weka.classifiers.evaluation.NumericPrediction
-
Returns the revision string.
- getRevision() - Method in class weka.classifiers.evaluation.RegressionAnalysis
-
Returns the revision string.
- getRevision() - Method in class weka.classifiers.evaluation.ThresholdCurve
-
Returns the revision string.
- getRevision() - Method in class weka.classifiers.evaluation.TwoClassStats
-
Returns the revision string.
- getRevision() - Method in class weka.classifiers.functions.LinearRegression
-
Returns the revision string.
- getRevision() - Method in class weka.classifiers.functions.Logistic
-
Returns the revision string.
- getRevision() - Method in class weka.classifiers.functions.MultilayerPerceptron
-
Returns the revision string.
- getRevision() - Method in class weka.classifiers.functions.neural.LinearUnit
-
Returns the revision string.
- getRevision() - Method in class weka.classifiers.functions.neural.NeuralNode
-
Returns the revision string.
- getRevision() - Method in class weka.classifiers.functions.neural.SigmoidUnit
-
Returns the revision string.
- getRevision() - Method in class weka.classifiers.functions.SGD
-
Returns the revision string.
- getRevision() - Method in class weka.classifiers.functions.SGDText
-
Returns the revision string.
- getRevision() - Method in class weka.classifiers.functions.SimpleLinearRegression
-
Returns the revision string.
- getRevision() - Method in class weka.classifiers.functions.SimpleLogistic
-
Returns the revision string.
- getRevision() - Method in class weka.classifiers.functions.SMO.BinarySMO
-
Returns the revision string.
- getRevision() - Method in class weka.classifiers.functions.SMO
-
Returns the revision string.
- getRevision() - Method in class weka.classifiers.functions.SMOreg
-
Returns the revision string.
- getRevision() - Method in class weka.classifiers.functions.supportVector.CheckKernel
-
Returns the revision string.
- getRevision() - Method in class weka.classifiers.functions.supportVector.Kernel
-
Returns the revision string.
- getRevision() - Method in class weka.classifiers.functions.supportVector.KernelEvaluation
-
Returns the revision string.
- getRevision() - Method in class weka.classifiers.functions.supportVector.NormalizedPolyKernel
-
Returns the revision string.
- getRevision() - Method in class weka.classifiers.functions.supportVector.PolyKernel
-
Returns the revision string.
- getRevision() - Method in class weka.classifiers.functions.supportVector.PrecomputedKernelMatrixKernel
-
Returns the revision string.
- getRevision() - Method in class weka.classifiers.functions.supportVector.Puk
-
Returns the revision string.
- getRevision() - Method in class weka.classifiers.functions.supportVector.RBFKernel
-
Returns the revision string.
- getRevision() - Method in class weka.classifiers.functions.supportVector.RegOptimizer
-
Returns the revision string.
- getRevision() - Method in class weka.classifiers.functions.supportVector.RegSMO
-
Returns the revision string.
- getRevision() - Method in class weka.classifiers.functions.supportVector.RegSMOImproved
-
Returns the revision string.
- getRevision() - Method in class weka.classifiers.functions.supportVector.SMOset
-
Returns the revision string.
- getRevision() - Method in class weka.classifiers.functions.supportVector.StringKernel
-
Returns the revision string.
- getRevision() - Method in class weka.classifiers.functions.VotedPerceptron
-
Returns the revision string.
- getRevision() - Method in class weka.classifiers.lazy.IBk
-
Returns the revision string.
- getRevision() - Method in class weka.classifiers.lazy.KStar
-
Returns the revision string.
- getRevision() - Method in class weka.classifiers.lazy.kstar.KStarCache.CacheTable
-
Returns the revision string.
- getRevision() - Method in class weka.classifiers.lazy.kstar.KStarCache
-
Returns the revision string.
- getRevision() - Method in class weka.classifiers.lazy.kstar.KStarCache.TableEntry
-
Returns the revision string.
- getRevision() - Method in class weka.classifiers.lazy.kstar.KStarNominalAttribute
-
Returns the revision string.
- getRevision() - Method in class weka.classifiers.lazy.kstar.KStarNumericAttribute
-
Returns the revision string.
- getRevision() - Method in class weka.classifiers.lazy.kstar.KStarWrapper
-
Returns the revision string.
- getRevision() - Method in class weka.classifiers.lazy.LWL
-
Returns the revision string.
- getRevision() - Method in class weka.classifiers.meta.AdaBoostM1
-
Returns the revision string.
- getRevision() - Method in class weka.classifiers.meta.AdditiveRegression
-
Returns the revision string.
- getRevision() - Method in class weka.classifiers.meta.AttributeSelectedClassifier
-
Returns the revision string.
- getRevision() - Method in class weka.classifiers.meta.Bagging
-
Returns the revision string.
- getRevision() - Method in class weka.classifiers.meta.ClassificationViaRegression
-
Returns the revision string.
- getRevision() - Method in class weka.classifiers.meta.CostSensitiveClassifier
-
Returns the revision string.
- getRevision() - Method in class weka.classifiers.meta.CVParameterSelection
-
Returns the revision string.
- getRevision() - Method in class weka.classifiers.meta.FilteredClassifier
-
Returns the revision string.
- getRevision() - Method in class weka.classifiers.meta.IterativeClassifierOptimizer
-
Returns the revision string.
- getRevision() - Method in class weka.classifiers.meta.LogitBoost
-
Returns the revision string.
- getRevision() - Method in class weka.classifiers.meta.MultiClassClassifier
-
Returns the revision string.
- getRevision() - Method in class weka.classifiers.meta.MultiClassClassifierUpdateable
-
Returns the revision string.
- getRevision() - Method in class weka.classifiers.meta.MultiScheme
-
Returns the revision string.
- getRevision() - Method in class weka.classifiers.meta.RandomCommittee
-
Returns the revision string.
- getRevision() - Method in class weka.classifiers.meta.RandomizableFilteredClassifier
-
Returns the revision string.
- getRevision() - Method in class weka.classifiers.meta.RandomSubSpace
-
Returns the revision string.
- getRevision() - Method in class weka.classifiers.meta.RegressionByDiscretization
-
Returns the revision string.
- getRevision() - Method in class weka.classifiers.meta.Stacking
-
Returns the revision string.
- getRevision() - Method in class weka.classifiers.meta.Vote
-
Returns the revision string.
- getRevision() - Method in class weka.classifiers.meta.WeightedInstancesHandlerWrapper
-
Returns the revision string.
- getRevision() - Method in class weka.classifiers.misc.InputMappedClassifier
-
Returns the revision string.
- getRevision() - Method in class weka.classifiers.misc.SerializedClassifier
-
Returns the revision string.
- getRevision() - Method in class weka.classifiers.pmml.consumer.GeneralRegression
-
- getRevision() - Method in class weka.classifiers.pmml.consumer.NeuralNetwork
-
- getRevision() - Method in class weka.classifiers.pmml.consumer.Regression
-
- getRevision() - Method in class weka.classifiers.pmml.consumer.RuleSetModel
-
Get the revision string for this class
- getRevision() - Method in class weka.classifiers.pmml.consumer.SupportVectorMachineModel
-
- getRevision() - Method in class weka.classifiers.pmml.consumer.TreeModel
-
- getRevision() - Method in class weka.classifiers.rules.DecisionTable
-
Returns the revision string.
- getRevision() - Method in class weka.classifiers.rules.DecisionTableHashKey
-
Returns the revision string.
- getRevision() - Method in class weka.classifiers.rules.JRip.Antd
-
Returns the revision string.
- getRevision() - Method in class weka.classifiers.rules.JRip
-
Returns the revision string.
- getRevision() - Method in class weka.classifiers.rules.JRip.NominalAntd
-
Returns the revision string.
- getRevision() - Method in class weka.classifiers.rules.JRip.NumericAntd
-
Returns the revision string.
- getRevision() - Method in class weka.classifiers.rules.JRip.RipperRule
-
Returns the revision string.
- getRevision() - Method in class weka.classifiers.rules.M5Rules
-
Returns the revision string.
- getRevision() - Method in class weka.classifiers.rules.OneR
-
Returns the revision string.
- getRevision() - Method in class weka.classifiers.rules.part.C45PruneableDecList
-
Returns the revision string.
- getRevision() - Method in class weka.classifiers.rules.part.ClassifierDecList
-
Returns the revision string.
- getRevision() - Method in class weka.classifiers.rules.PART
-
Returns the revision string.
- getRevision() - Method in class weka.classifiers.rules.part.MakeDecList
-
Returns the revision string.
- getRevision() - Method in class weka.classifiers.rules.part.PruneableDecList
-
Returns the revision string.
- getRevision() - Method in class weka.classifiers.rules.RuleStats
-
Returns the revision string.
- getRevision() - Method in class weka.classifiers.rules.ZeroR
-
Returns the revision string.
- getRevision() - Method in class weka.classifiers.trees.DecisionStump
-
Returns the revision string.
- getRevision() - Method in class weka.classifiers.trees.HoeffdingTree
-
Returns the revision string.
- getRevision() - Method in class weka.classifiers.trees.j48.BinC45ModelSelection
-
Returns the revision string.
- getRevision() - Method in class weka.classifiers.trees.j48.BinC45Split
-
Returns the revision string.
- getRevision() - Method in class weka.classifiers.trees.j48.C45ModelSelection
-
Returns the revision string.
- getRevision() - Method in class weka.classifiers.trees.j48.C45PruneableClassifierTree
-
Returns the revision string.
- getRevision() - Method in class weka.classifiers.trees.j48.C45Split
-
Returns the revision string.
- getRevision() - Method in class weka.classifiers.trees.j48.ClassifierTree
-
Returns the revision string.
- getRevision() - Method in class weka.classifiers.trees.j48.Distribution
-
Returns the revision string.
- getRevision() - Method in class weka.classifiers.trees.j48.EntropySplitCrit
-
Returns the revision string.
- getRevision() - Method in class weka.classifiers.trees.j48.GainRatioSplitCrit
-
Returns the revision string.
- getRevision() - Method in class weka.classifiers.trees.J48
-
Returns the revision string.
- getRevision() - Method in class weka.classifiers.trees.j48.InfoGainSplitCrit
-
Returns the revision string.
- getRevision() - Method in class weka.classifiers.trees.j48.NBTreeClassifierTree
-
Returns the revision string.
- getRevision() - Method in class weka.classifiers.trees.j48.NBTreeModelSelection
-
Returns the revision string.
- getRevision() - Method in class weka.classifiers.trees.j48.NBTreeNoSplit
-
Returns the revision string.
- getRevision() - Method in class weka.classifiers.trees.j48.NBTreeSplit
-
Returns the revision string.
- getRevision() - Method in class weka.classifiers.trees.j48.NoSplit
-
Returns the revision string.
- getRevision() - Method in class weka.classifiers.trees.j48.PruneableClassifierTree
-
Returns the revision string.
- getRevision() - Method in class weka.classifiers.trees.j48.Stats
-
Returns the revision string.
- getRevision() - Method in class weka.classifiers.trees.LMT
-
Returns the revision string.
- getRevision() - Method in class weka.classifiers.trees.lmt.LMTNode
-
Returns the revision string.
- getRevision() - Method in class weka.classifiers.trees.lmt.LogisticBase
-
Returns the revision string.
- getRevision() - Method in class weka.classifiers.trees.lmt.ResidualModelSelection
-
Returns the revision string.
- getRevision() - Method in class weka.classifiers.trees.lmt.ResidualSplit
-
Returns the revision string.
- getRevision() - Method in class weka.classifiers.trees.m5.CorrelationSplitInfo
-
Returns the revision string.
- getRevision() - Method in class weka.classifiers.trees.m5.Impurity
-
Returns the revision string.
- getRevision() - Method in class weka.classifiers.trees.m5.PreConstructedLinearModel
-
Returns the revision string.
- getRevision() - Method in class weka.classifiers.trees.m5.Rule
-
Returns the revision string.
- getRevision() - Method in class weka.classifiers.trees.m5.RuleNode
-
Returns the revision string.
- getRevision() - Method in class weka.classifiers.trees.m5.Values
-
Returns the revision string.
- getRevision() - Method in class weka.classifiers.trees.m5.YongSplitInfo
-
Returns the revision string.
- getRevision() - Method in class weka.classifiers.trees.M5P
-
Returns the revision string.
- getRevision() - Method in class weka.classifiers.trees.RandomForest
-
Returns the revision string.
- getRevision() - Method in class weka.classifiers.trees.REPTree
-
Returns the revision string.
- getRevision() - Method in class weka.classifiers.xml.XMLClassifier
-
Returns the revision string.
- getRevision() - Method in class weka.clusterers.AbstractClusterer
-
Returns the revision string.
- getRevision() - Method in class weka.clusterers.CheckClusterer
-
Returns the revision string.
- getRevision() - Method in class weka.clusterers.ClusterEvaluation
-
Returns the revision string.
- getRevision() - Method in class weka.clusterers.Cobweb.CNode
-
Returns the revision string.
- getRevision() - Method in class weka.clusterers.Cobweb
-
Returns the revision string.
- getRevision() - Method in class weka.clusterers.EM
-
Returns the revision string.
- getRevision() - Method in class weka.clusterers.FarthestFirst
-
Returns the revision string.
- getRevision() - Method in class weka.clusterers.FilteredClusterer
-
Returns the revision string.
- getRevision() - Method in class weka.clusterers.HierarchicalClusterer
-
Returns the revision string.
- getRevision() - Method in class weka.clusterers.MakeDensityBasedClusterer
-
Returns the revision string.
- getRevision() - Method in class weka.clusterers.SimpleKMeans
-
Returns the revision string.
- getRevision() - Method in class weka.core.AbstractInstance
-
Returns the revision string.
- getRevision() - Method in class weka.core.AlgVector
-
Returns the revision string.
- getRevision() - Method in class weka.core.AllJavadoc
-
Returns the revision string.
- getRevision() - Method in class weka.core.Attribute
-
Returns the revision string.
- getRevision() - Method in class weka.core.AttributeLocator
-
Returns the revision string.
- getRevision() - Method in class weka.core.AttributeMetaInfo
-
Returns the revision string.
- getRevision() - Method in class weka.core.AttributeStats
-
Returns the revision string.
- getRevision() - Method in class weka.core.BinarySparseInstance
-
Returns the revision string.
- getRevision() - Method in class weka.core.Capabilities
-
Returns the revision string.
- getRevision() - Method in class weka.core.ChebyshevDistance
-
Returns the revision string.
- getRevision() - Method in class weka.core.CheckGOE
-
Returns the revision string.
- getRevision() - Method in class weka.core.CheckOptionHandler
-
Returns the revision string.
- getRevision() - Method in class weka.core.CheckScheme.PostProcessor
-
Returns the revision string.
- getRevision() - Method in class weka.core.ClassCache
-
Returns the revision string.
- getRevision() - Method in class weka.core.ClassDiscovery
-
Returns the revision string.
- getRevision() - Method in class weka.core.ClassDiscovery.StringCompare
-
Returns the revision string.
- getRevision() - Method in class weka.core.ClassloaderUtil
-
Returns the revision string.
- getRevision() - Method in class weka.core.ContingencyTables
-
Returns the revision string.
- getRevision() - Method in class weka.core.converters.ArffLoader.ArffReader
-
Returns the revision string.
- getRevision() - Method in class weka.core.converters.ArffLoader
-
Returns the revision string.
- getRevision() - Method in class weka.core.converters.ArffSaver
-
Returns the revision string.
- getRevision() - Method in class weka.core.converters.C45Loader
-
Returns the revision string.
- getRevision() - Method in class weka.core.converters.C45Saver
-
Returns the revision string.
- getRevision() - Method in class weka.core.converters.ConverterUtils.DataSink
-
Returns the revision string.
- getRevision() - Method in class weka.core.converters.ConverterUtils.DataSource
-
Returns the revision string.
- getRevision() - Method in class weka.core.converters.ConverterUtils
-
Returns the revision string.
- getRevision() - Method in class weka.core.converters.CSVLoader
-
- getRevision() - Method in class weka.core.converters.CSVSaver
-
Returns the revision string.
- getRevision() - Method in class weka.core.converters.DatabaseConnection
-
Returns the revision string.
- getRevision() - Method in class weka.core.converters.DatabaseLoader
-
Returns the revision string.
- getRevision() - Method in class weka.core.converters.DatabaseSaver
-
Returns the revision string.
- getRevision() - Method in class weka.core.converters.DictionarySaver
-
- getRevision() - Method in class weka.core.converters.JSONLoader
-
Returns the revision string.
- getRevision() - Method in class weka.core.converters.JSONSaver
-
Returns the revision string.
- getRevision() - Method in class weka.core.converters.LibSVMLoader
-
Returns the revision string.
- getRevision() - Method in class weka.core.converters.LibSVMSaver
-
Returns the revision string.
- getRevision() - Method in class weka.core.converters.MatlabLoader
-
Returns the revision string.
- getRevision() - Method in class weka.core.converters.MatlabSaver
-
Returns the revision string.
- getRevision() - Method in class weka.core.converters.SerializedInstancesLoader
-
Returns the revision string.
- getRevision() - Method in class weka.core.converters.SerializedInstancesSaver
-
Returns the revision string.
- getRevision() - Method in class weka.core.converters.StreamTokenizerUtils
-
- getRevision() - Method in class weka.core.converters.SVMLightLoader
-
Returns the revision string.
- getRevision() - Method in class weka.core.converters.SVMLightSaver
-
Returns the revision string.
- getRevision() - Method in class weka.core.converters.TextDirectoryLoader
-
Returns the revision string.
- getRevision() - Method in class weka.core.converters.XRFFLoader
-
Returns the revision string.
- getRevision() - Method in class weka.core.converters.XRFFSaver
-
Returns the revision string.
- getRevision() - Method in class weka.core.Debug.Clock
-
Returns the revision string.
- getRevision() - Method in class weka.core.Debug.DBO
-
Returns the revision string.
- getRevision() - Method in class weka.core.Debug
-
Returns the revision string.
- getRevision() - Method in class weka.core.Debug.Log
-
Returns the revision string.
- getRevision() - Method in class weka.core.Debug.Random
-
Returns the revision string.
- getRevision() - Method in class weka.core.Debug.SimpleLog
-
Returns the revision string.
- getRevision() - Method in class weka.core.Debug.Timestamp
-
Returns the revision string.
- getRevision() - Method in class weka.core.DenseInstance
-
Returns the revision string.
- getRevision() - Method in class weka.core.Environment
-
Returns the revision string.
- getRevision() - Method in class weka.core.EuclideanDistance
-
Returns the revision string.
- getRevision() - Method in class weka.core.FastVector
-
Deprecated.
Returns the revision string.
- getRevision() - Method in class weka.core.FindWithCapabilities
-
Returns the revision string.
- getRevision() - Method in class weka.core.GlobalInfoJavadoc
-
Returns the revision string.
- getRevision() - Method in class weka.core.InstanceComparator
-
Returns the revision string.
- getRevision() - Method in class weka.core.Instances
-
Returns the revision string.
- getRevision() - Method in class weka.core.ListOptions
-
Returns the revision string.
- getRevision() - Method in class weka.core.logging.ConsoleLogger
-
Returns the revision string.
- getRevision() - Method in class weka.core.logging.FileLogger
-
Returns the revision string.
- getRevision() - Method in class weka.core.logging.OutputLogger
-
Returns the revision string.
- getRevision() - Method in class weka.core.ManhattanDistance
-
Returns the revision string.
- getRevision() - Method in class weka.core.matrix.CholeskyDecomposition
-
Returns the revision string.
- getRevision() - Method in class weka.core.matrix.DoubleVector
-
Returns the revision string.
- getRevision() - Method in class weka.core.matrix.EigenvalueDecomposition
-
Returns the revision string.
- getRevision() - Method in class weka.core.matrix.ExponentialFormat
-
Returns the revision string.
- getRevision() - Method in class weka.core.matrix.FlexibleDecimalFormat
-
Returns the revision string.
- getRevision() - Method in class weka.core.matrix.FloatingPointFormat
-
Returns the revision string.
- getRevision() - Method in class weka.core.Matrix
-
Deprecated.
Returns the revision string.
- getRevision() - Method in class weka.core.matrix.IntVector
-
Returns the revision string.
- getRevision() - Method in class weka.core.matrix.LinearRegression
-
Returns the revision string.
- getRevision() - Method in class weka.core.matrix.LUDecomposition
-
Returns the revision string.
- getRevision() - Method in class weka.core.matrix.Maths
-
Returns the revision string.
- getRevision() - Method in class weka.core.matrix.Matrix
-
Returns the revision string.
- getRevision() - Method in class weka.core.matrix.QRDecomposition
-
Returns the revision string.
- getRevision() - Method in class weka.core.matrix.SingularValueDecomposition
-
Returns the revision string.
- getRevision() - Method in class weka.core.Memory
-
Returns the revision string.
- getRevision() - Method in class weka.core.MinkowskiDistance
-
Returns the revision string.
- getRevision() - Method in class weka.core.neighboursearch.BallTree
-
Returns the revision string.
- getRevision() - Method in class weka.core.neighboursearch.balltrees.BallNode
-
Returns the revision string.
- getRevision() - Method in class weka.core.neighboursearch.balltrees.BallSplitter
-
Returns the revision string.
- getRevision() - Method in class weka.core.neighboursearch.balltrees.BallTreeConstructor
-
Returns the revision string.
- getRevision() - Method in class weka.core.neighboursearch.balltrees.BottomUpConstructor
-
Returns the revision string.
- getRevision() - Method in class weka.core.neighboursearch.balltrees.MedianDistanceFromArbitraryPoint
-
Returns the revision string.
- getRevision() - Method in class weka.core.neighboursearch.balltrees.MedianOfWidestDimension
-
Returns the revision string.
- getRevision() - Method in class weka.core.neighboursearch.balltrees.MiddleOutConstructor
-
Returns the revision string.
- getRevision() - Method in class weka.core.neighboursearch.balltrees.PointsClosestToFurthestChildren
-
Returns the revision string.
- getRevision() - Method in class weka.core.neighboursearch.balltrees.TopDownConstructor
-
Returns the revision string.
- getRevision() - Method in class weka.core.neighboursearch.CoverTree.CoverTreeNode
-
Returns the revision string.
- getRevision() - Method in class weka.core.neighboursearch.CoverTree
-
Returns the revision string.
- getRevision() - Method in class weka.core.neighboursearch.covertrees.Stack
-
Returns the revision string.
- getRevision() - Method in class weka.core.neighboursearch.FilteredNeighbourSearch
-
Returns the revision string
- getRevision() - Method in class weka.core.neighboursearch.KDTree
-
Returns the revision string.
- getRevision() - Method in class weka.core.neighboursearch.kdtrees.KDTreeNode
-
Returns the revision string.
- getRevision() - Method in class weka.core.neighboursearch.kdtrees.KDTreeNodeSplitter
-
Returns the revision string.
- getRevision() - Method in class weka.core.neighboursearch.kdtrees.KMeansInpiredMethod
-
Returns the revision string.
- getRevision() - Method in class weka.core.neighboursearch.kdtrees.MedianOfWidestDimension
-
Returns the revision string.
- getRevision() - Method in class weka.core.neighboursearch.kdtrees.MidPointOfWidestDimension
-
Returns the revision string.
- getRevision() - Method in class weka.core.neighboursearch.kdtrees.SlidingMidPointOfWidestSide
-
Returns the revision string.
- getRevision() - Method in class weka.core.neighboursearch.LinearNNSearch
-
Returns the revision string.
- getRevision() - Method in class weka.core.neighboursearch.PerformanceStats
-
Returns the revision string.
- getRevision() - Method in class weka.core.neighboursearch.TreePerformanceStats
-
Returns the revision string.
- getRevision() - Method in class weka.core.Option
-
Returns the revision string.
- getRevision() - Method in class weka.core.OptionHandlerJavadoc
-
Returns the revision string.
- getRevision() - Method in class weka.core.PropertyPath
-
Returns the revision string.
- getRevision() - Method in class weka.core.PropertyPath.Path
-
Returns the revision string.
- getRevision() - Method in class weka.core.PropertyPath.PathElement
-
Returns the revision string.
- getRevision() - Method in class weka.core.ProtectedProperties
-
Returns the revision string.
- getRevision() - Method in class weka.core.Queue
-
Returns the revision string.
- getRevision() - Method in class weka.core.RandomVariates
-
Returns the revision string.
- getRevision() - Method in class weka.core.Range
-
Returns the revision string.
- getRevision() - Method in class weka.core.RelationalLocator
-
Returns the revision string.
- getRevision() - Method in interface weka.core.RevisionHandler
-
Returns the revision string.
- getRevision() - Method in class weka.core.scripting.Groovy
-
Returns the revision string.
- getRevision() - Method in class weka.core.scripting.Jython
-
Returns the revision string.
- getRevision() - Method in class weka.core.SelectedTag
-
Returns the revision string.
- getRevision() - Method in class weka.core.SerializationHelper
-
Returns the revision string.
- getRevision() - Method in class weka.core.SerializedObject
-
Returns the revision string.
- getRevision() - Method in class weka.core.SingleIndex
-
Returns the revision string.
- getRevision() - Method in class weka.core.SparseInstance
-
Returns the revision string.
- getRevision() - Method in class weka.core.SpecialFunctions
-
Returns the revision string.
- getRevision() - Method in class weka.core.Statistics
-
Returns the revision string.
- getRevision() - Method in class weka.core.stemmers.IteratedLovinsStemmer
-
Returns the revision string.
- getRevision() - Method in class weka.core.stemmers.LovinsStemmer
-
Returns the revision string.
- getRevision() - Method in class weka.core.stemmers.NullStemmer
-
Returns the revision string.
- getRevision() - Method in class weka.core.stemmers.SnowballStemmer
-
Returns the revision string.
- getRevision() - Method in class weka.core.stemmers.Stemming
-
Returns the revision string.
- getRevision() - Method in class weka.core.Stopwords
-
Returns the revision string.
- getRevision() - Method in class weka.core.StringLocator
-
Returns the revision string.
- getRevision() - Method in class weka.core.SystemInfo
-
Returns the revision string.
- getRevision() - Method in class weka.core.Tag
-
Returns the revision string.
- getRevision() - Method in class weka.core.TechnicalInformation
-
Returns the revision string.
- getRevision() - Method in class weka.core.TechnicalInformationHandlerJavadoc
-
Returns the revision string.
- getRevision() - Method in class weka.core.Tee
-
Returns the revision string.
- getRevision() - Method in class weka.core.TestInstances
-
Returns the revision string.
- getRevision() - Method in class weka.core.tokenizers.AlphabeticTokenizer
-
Returns the revision string.
- getRevision() - Method in class weka.core.tokenizers.CharacterNGramTokenizer
-
Returns the revision string.
- getRevision() - Method in class weka.core.tokenizers.NGramTokenizer
-
Returns the revision string.
- getRevision() - Method in class weka.core.tokenizers.WordTokenizer
-
Returns the revision string.
- getRevision() - Method in class weka.core.Trie
-
Returns the revision string.
- getRevision() - Method in class weka.core.Trie.TrieIterator
-
Returns the revision string.
- getRevision() - Method in class weka.core.Trie.TrieNode
-
Returns the revision string.
- getRevision() - Method in class weka.core.Utils
-
Returns the revision string.
- getRevision() - Method in class weka.core.Version
-
Returns the revision string.
- getRevision() - Method in class weka.core.WekaEnumeration
-
Returns the revision string.
- getRevision() - Method in class weka.core.xml.KOML
-
Returns the revision string.
- getRevision() - Method in class weka.core.xml.MethodHandler
-
Returns the revision string.
- getRevision() - Method in class weka.core.xml.PropertyHandler
-
Returns the revision string.
- getRevision() - Method in class weka.core.xml.SerialUIDChanger
-
Returns the revision string.
- getRevision() - Method in class weka.core.xml.XMLBasicSerialization
-
Returns the revision string.
- getRevision() - Method in class weka.core.xml.XMLDocument
-
Returns the revision string.
- getRevision() - Method in class weka.core.xml.XMLInstances
-
Returns the revision string.
- getRevision() - Method in class weka.core.xml.XMLOptions
-
Returns the revision string.
- getRevision() - Method in class weka.core.xml.XMLSerialization
-
Returns the revision string.
- getRevision() - Method in class weka.core.xml.XMLSerializationMethodHandler
-
Returns the revision string.
- getRevision() - Method in class weka.core.xml.XStream
-
Returns the revision string.
- getRevision() - Method in class weka.datagenerators.classifiers.classification.Agrawal
-
Returns the revision string.
- getRevision() - Method in class weka.datagenerators.classifiers.classification.BayesNet
-
Returns the revision string.
- getRevision() - Method in class weka.datagenerators.classifiers.classification.LED24
-
Returns the revision string.
- getRevision() - Method in class weka.datagenerators.classifiers.classification.RandomRBF
-
Returns the revision string.
- getRevision() - Method in class weka.datagenerators.classifiers.classification.RDG1
-
Returns the revision string.
- getRevision() - Method in class weka.datagenerators.classifiers.regression.Expression
-
Returns the revision string.
- getRevision() - Method in class weka.datagenerators.classifiers.regression.MexicanHat
-
Returns the revision string.
- getRevision() - Method in class weka.datagenerators.clusterers.BIRCHCluster
-
Returns the revision string.
- getRevision() - Method in class weka.datagenerators.clusterers.SubspaceCluster
-
Returns the revision string.
- getRevision() - Method in class weka.datagenerators.clusterers.SubspaceClusterDefinition
-
Returns the revision string.
- getRevision() - Method in class weka.datagenerators.Test
-
Returns the revision string.
- getRevision() - Method in class weka.estimators.CheckEstimator.AttrTypes
-
Returns the revision string.
- getRevision() - Method in class weka.estimators.CheckEstimator.EstTypes
-
Returns the revision string.
- getRevision() - Method in class weka.estimators.CheckEstimator
-
Returns the revision string.
- getRevision() - Method in class weka.estimators.CheckEstimator.PostProcessor
-
Returns the revision string.
- getRevision() - Method in class weka.estimators.DDConditionalEstimator
-
Returns the revision string.
- getRevision() - Method in class weka.estimators.DiscreteEstimator
-
Returns the revision string.
- getRevision() - Method in class weka.estimators.DKConditionalEstimator
-
Returns the revision string.
- getRevision() - Method in class weka.estimators.DNConditionalEstimator
-
Returns the revision string.
- getRevision() - Method in class weka.estimators.Estimator
-
Returns the revision string.
- getRevision() - Method in class weka.estimators.EstimatorUtils
-
Returns the revision string.
- getRevision() - Method in class weka.estimators.KDConditionalEstimator
-
Returns the revision string.
- getRevision() - Method in class weka.estimators.KernelEstimator
-
Returns the revision string.
- getRevision() - Method in class weka.estimators.KKConditionalEstimator
-
Returns the revision string.
- getRevision() - Method in class weka.estimators.MahalanobisEstimator
-
Returns the revision string.
- getRevision() - Method in class weka.estimators.NDConditionalEstimator
-
Returns the revision string.
- getRevision() - Method in class weka.estimators.NNConditionalEstimator
-
Returns the revision string.
- getRevision() - Method in class weka.estimators.NormalEstimator
-
Returns the revision string.
- getRevision() - Method in class weka.estimators.PoissonEstimator
-
Returns the revision string.
- getRevision() - Method in class weka.estimators.UnivariateEqualFrequencyHistogramEstimator
-
Returns the revision string.
- getRevision() - Method in class weka.estimators.UnivariateKernelEstimator
-
Returns the revision string.
- getRevision() - Method in class weka.estimators.UnivariateMixtureEstimator
-
Returns the revision string.
- getRevision() - Method in class weka.estimators.UnivariateNormalEstimator
-
Returns the revision string.
- getRevision() - Method in class weka.experiment.AveragingResultProducer
-
Returns the revision string.
- getRevision() - Method in class weka.experiment.ClassifierSplitEvaluator
-
Returns the revision string.
- getRevision() - Method in class weka.experiment.CostSensitiveClassifierSplitEvaluator
-
Returns the revision string.
- getRevision() - Method in class weka.experiment.CrossValidationResultProducer
-
Returns the revision string.
- getRevision() - Method in class weka.experiment.CrossValidationSplitResultProducer
-
Returns the revision string.
- getRevision() - Method in class weka.experiment.CSVResultListener
-
Returns the revision string.
- getRevision() - Method in class weka.experiment.DatabaseResultListener
-
Returns the revision string.
- getRevision() - Method in class weka.experiment.DatabaseResultProducer
-
Returns the revision string.
- getRevision() - Method in class weka.experiment.DatabaseUtils
-
Returns the revision string.
- getRevision() - Method in class weka.experiment.DensityBasedClustererSplitEvaluator
-
Returns the revision string.
- getRevision() - Method in class weka.experiment.Experiment
-
Returns the revision string.
- getRevision() - Method in class weka.experiment.ExplicitTestsetResultProducer
-
Returns the revision string.
- getRevision() - Method in class weka.experiment.InstanceQuery
-
Returns the revision string.
- getRevision() - Method in class weka.experiment.InstancesResultListener
-
Returns the revision string.
- getRevision() - Method in class weka.experiment.LearningRateResultProducer
-
Returns the revision string.
- getRevision() - Method in class weka.experiment.OutputZipper
-
Returns the revision string.
- getRevision() - Method in class weka.experiment.PairedCorrectedTTester
-
Returns the revision string.
- getRevision() - Method in class weka.experiment.PairedStats
-
Returns the revision string.
- getRevision() - Method in class weka.experiment.PairedStatsCorrected
-
Returns the revision string.
- getRevision() - Method in class weka.experiment.PairedTTester
-
Returns the revision string.
- getRevision() - Method in class weka.experiment.PropertyNode
-
Returns the revision string.
- getRevision() - Method in class weka.experiment.RandomSplitResultProducer
-
Returns the revision string.
- getRevision() - Method in class weka.experiment.RegressionSplitEvaluator
-
Returns the revision string.
- getRevision() - Method in class weka.experiment.RemoteEngine
-
Returns the revision string.
- getRevision() - Method in class weka.experiment.RemoteExperiment
-
Returns the revision string.
- getRevision() - Method in class weka.experiment.RemoteExperimentSubTask
-
Returns the revision string.
- getRevision() - Method in class weka.experiment.ResultMatrixCSV
-
Returns the revision string.
- getRevision() - Method in class weka.experiment.ResultMatrixGnuPlot
-
Returns the revision string.
- getRevision() - Method in class weka.experiment.ResultMatrixHTML
-
Returns the revision string.
- getRevision() - Method in class weka.experiment.ResultMatrixLatex
-
Returns the revision string.
- getRevision() - Method in class weka.experiment.ResultMatrixPlainText
-
Returns the revision string.
- getRevision() - Method in class weka.experiment.ResultMatrixSignificance
-
Returns the revision string.
- getRevision() - Method in class weka.experiment.Stats
-
Returns the revision string.
- getRevision() - Method in class weka.experiment.TaskStatusInfo
-
Returns the revision string.
- getRevision() - Method in class weka.experiment.xml.XMLExperiment
-
Returns the revision string.
- getRevision() - Method in class weka.filters.AllFilter
-
Returns the revision string.
- getRevision() - Method in class weka.filters.CheckSource
-
Returns the revision string.
- getRevision() - Method in class weka.filters.Filter
-
Returns the revision string.
- getRevision() - Method in class weka.filters.MultiFilter
-
Returns the revision string.
- getRevision() - Method in class weka.filters.RenameRelation
-
Returns the revision string.
- getRevision() - Method in class weka.filters.supervised.attribute.AddClassification
-
Returns the revision string.
- getRevision() - Method in class weka.filters.supervised.attribute.AttributeSelection
-
Returns the revision string.
- getRevision() - Method in class weka.filters.supervised.attribute.ClassConditionalProbabilities
-
Returns the revision string.
- getRevision() - Method in class weka.filters.supervised.attribute.ClassOrder
-
Returns the revision string.
- getRevision() - Method in class weka.filters.supervised.attribute.Discretize
-
Returns the revision string.
- getRevision() - Method in class weka.filters.supervised.attribute.MergeNominalValues
-
Returns the revision string.
- getRevision() - Method in class weka.filters.supervised.attribute.NominalToBinary
-
Returns the revision string.
- getRevision() - Method in class weka.filters.supervised.attribute.PartitionMembership
-
- getRevision() - Method in class weka.filters.supervised.instance.ClassBalancer
-
Returns the revision string.
- getRevision() - Method in class weka.filters.supervised.instance.Resample
-
Returns the revision string.
- getRevision() - Method in class weka.filters.supervised.instance.SpreadSubsample
-
Returns the revision string.
- getRevision() - Method in class weka.filters.supervised.instance.StratifiedRemoveFolds
-
Returns the revision string.
- getRevision() - Method in class weka.filters.unsupervised.attribute.Add
-
Returns the revision string.
- getRevision() - Method in class weka.filters.unsupervised.attribute.AddCluster
-
Returns the revision string.
- getRevision() - Method in class weka.filters.unsupervised.attribute.AddExpression
-
Returns the revision string.
- getRevision() - Method in class weka.filters.unsupervised.attribute.AddID
-
Returns the revision string.
- getRevision() - Method in class weka.filters.unsupervised.attribute.AddNoise
-
Returns the revision string.
- getRevision() - Method in class weka.filters.unsupervised.attribute.AddValues
-
Returns the revision string.
- getRevision() - Method in class weka.filters.unsupervised.attribute.CartesianProduct
-
Returns the revision string.
- getRevision() - Method in class weka.filters.unsupervised.attribute.Center
-
Returns the revision string.
- getRevision() - Method in class weka.filters.unsupervised.attribute.ChangeDateFormat
-
Returns the revision string.
- getRevision() - Method in class weka.filters.unsupervised.attribute.ClassAssigner
-
Returns the revision string.
- getRevision() - Method in class weka.filters.unsupervised.attribute.ClusterMembership
-
Returns the revision string.
- getRevision() - Method in class weka.filters.unsupervised.attribute.Copy
-
Returns the revision string.
- getRevision() - Method in class weka.filters.unsupervised.attribute.DateToNumeric
-
Returns the revision string.
- getRevision() - Method in class weka.filters.unsupervised.attribute.Discretize
-
Returns the revision string.
- getRevision() - Method in class weka.filters.unsupervised.attribute.FirstOrder
-
Returns the revision string.
- getRevision() - Method in class weka.filters.unsupervised.attribute.InterquartileRange
-
Returns the revision string.
- getRevision() - Method in class weka.filters.unsupervised.attribute.KernelFilter
-
Returns the revision string.
- getRevision() - Method in class weka.filters.unsupervised.attribute.MakeIndicator
-
Returns the revision string.
- getRevision() - Method in class weka.filters.unsupervised.attribute.MathExpression
-
Returns the revision string.
- getRevision() - Method in class weka.filters.unsupervised.attribute.MergeInfrequentNominalValues
-
Returns the revision string.
- getRevision() - Method in class weka.filters.unsupervised.attribute.MergeManyValues
-
Returns the revision string.
- getRevision() - Method in class weka.filters.unsupervised.attribute.MergeTwoValues
-
Returns the revision string.
- getRevision() - Method in class weka.filters.unsupervised.attribute.NominalToBinary
-
Returns the revision string.
- getRevision() - Method in class weka.filters.unsupervised.attribute.NominalToString
-
Returns the revision string.
- getRevision() - Method in class weka.filters.unsupervised.attribute.Normalize
-
Returns the revision string.
- getRevision() - Method in class weka.filters.unsupervised.attribute.NumericCleaner
-
Returns the revision string.
- getRevision() - Method in class weka.filters.unsupervised.attribute.NumericToBinary
-
Returns the revision string.
- getRevision() - Method in class weka.filters.unsupervised.attribute.NumericToDate
-
Returns the revision string.
- getRevision() - Method in class weka.filters.unsupervised.attribute.NumericToNominal
-
Returns the revision string.
- getRevision() - Method in class weka.filters.unsupervised.attribute.NumericTransform
-
Returns the revision string.
- getRevision() - Method in class weka.filters.unsupervised.attribute.Obfuscate
-
Returns the revision string.
- getRevision() - Method in class weka.filters.unsupervised.attribute.OrdinalToNumeric
-
Returns the revision string.
- getRevision() - Method in class weka.filters.unsupervised.attribute.PartitionedMultiFilter
-
Returns the revision string.
- getRevision() - Method in class weka.filters.unsupervised.attribute.PKIDiscretize
-
Returns the revision string.
- getRevision() - Method in class weka.filters.unsupervised.attribute.PrincipalComponents
-
Returns the revision string.
- getRevision() - Method in class weka.filters.unsupervised.attribute.RandomProjection
-
Returns the revision string.
- getRevision() - Method in class weka.filters.unsupervised.attribute.RandomSubset
-
Returns the revision string.
- getRevision() - Method in class weka.filters.unsupervised.attribute.Remove
-
Returns the revision string.
- getRevision() - Method in class weka.filters.unsupervised.attribute.RemoveByName
-
Returns the revision string.
- getRevision() - Method in class weka.filters.unsupervised.attribute.RemoveType
-
Returns the revision string.
- getRevision() - Method in class weka.filters.unsupervised.attribute.RemoveUseless
-
Returns the revision string.
- getRevision() - Method in class weka.filters.unsupervised.attribute.RenameAttribute
-
Returns the revision string.
- getRevision() - Method in class weka.filters.unsupervised.attribute.RenameNominalValues
-
Returns the revision string.
- getRevision() - Method in class weka.filters.unsupervised.attribute.Reorder
-
Returns the revision string.
- getRevision() - Method in class weka.filters.unsupervised.attribute.ReplaceMissingValues
-
Returns the revision string.
- getRevision() - Method in class weka.filters.unsupervised.attribute.ReplaceMissingWithUserConstant
-
Returns the revision string.
- getRevision() - Method in class weka.filters.unsupervised.attribute.ReplaceWithMissingValue
-
Returns the revision string.
- getRevision() - Method in class weka.filters.unsupervised.attribute.SortLabels
-
Returns the revision string.
- getRevision() - Method in class weka.filters.unsupervised.attribute.Standardize
-
Returns the revision string.
- getRevision() - Method in class weka.filters.unsupervised.attribute.StringToNominal
-
Returns the revision string.
- getRevision() - Method in class weka.filters.unsupervised.attribute.StringToWordVector
-
Returns the revision string.
- getRevision() - Method in class weka.filters.unsupervised.attribute.SwapValues
-
Returns the revision string.
- getRevision() - Method in class weka.filters.unsupervised.attribute.TimeSeriesDelta
-
Returns the revision string.
- getRevision() - Method in class weka.filters.unsupervised.attribute.TimeSeriesTranslate
-
Returns the revision string.
- getRevision() - Method in class weka.filters.unsupervised.attribute.Transpose
-
Returns the revision string.
- getRevision() - Method in class weka.filters.unsupervised.instance.NonSparseToSparse
-
Returns the revision string.
- getRevision() - Method in class weka.filters.unsupervised.instance.Randomize
-
Returns the revision string.
- getRevision() - Method in class weka.filters.unsupervised.instance.RemoveDuplicates
-
Returns the revision string.
- getRevision() - Method in class weka.filters.unsupervised.instance.RemoveFolds
-
Returns the revision string.
- getRevision() - Method in class weka.filters.unsupervised.instance.RemoveFrequentValues
-
Returns the revision string.
- getRevision() - Method in class weka.filters.unsupervised.instance.RemoveMisclassified
-
Returns the revision string.
- getRevision() - Method in class weka.filters.unsupervised.instance.RemovePercentage
-
Returns the revision string.
- getRevision() - Method in class weka.filters.unsupervised.instance.RemoveRange
-
Returns the revision string.
- getRevision() - Method in class weka.filters.unsupervised.instance.RemoveWithValues
-
Returns the revision string.
- getRevision() - Method in class weka.filters.unsupervised.instance.Resample
-
Returns the revision string.
- getRevision() - Method in class weka.filters.unsupervised.instance.ReservoirSample
-
Returns the revision string.
- getRevision() - Method in class weka.filters.unsupervised.instance.SparseToNonSparse
-
Returns the revision string.
- getRevision() - Method in class weka.filters.unsupervised.instance.SubsetByExpression
-
Returns the revision string.
- getRevision() - Method in class weka.gui.beans.FlowRunner
-
- getRevision() - Method in class weka.gui.sql.DbUtils
-
Returns the revision string.
- getRHSOperand() - Method in class weka.knowledgeflow.steps.FlowByExpression.ExpressionClause
-
Get the rhs operand
- getRidge() - Method in class weka.classifiers.functions.LinearRegression
-
Get the value of Ridge.
- getRidge() - Method in class weka.classifiers.functions.Logistic
-
Gets the ridge in the log-likelihood.
- getRidge() - Method in class weka.estimators.MultivariateGaussianEstimator
-
Get the value of Ridge.
- getRightMargin() - Method in class weka.core.pmml.jaxbbindings.Interval
-
Gets the value of the rightMargin property.
- getRMSE() - Method in class weka.core.pmml.jaxbbindings.ExponentialSmoothing
-
Gets the value of the rmse property.
- getROC() - Method in class weka.core.pmml.jaxbbindings.PredictiveModelQuality
-
Gets the value of the roc property.
- getROCArea(Instances) - Static method in class weka.classifiers.evaluation.ThresholdCurve
-
Calculates the area under the ROC curve as the Wilcoxon-Mann-Whitney
statistic.
- getROCGraph() - Method in class weka.core.pmml.jaxbbindings.ROC
-
Gets the value of the rocGraph property.
- getROCString() - Method in class weka.gui.visualize.ThresholdVisualizePanel
-
This extracts the ROC area string
- getRoot() - Method in class weka.core.expressionlanguage.parser.Parser
-
Returns the root node of the program
- getRoot() - Method in class weka.core.Trie
-
returns the root node of the trie
- getRoot() - Method in class weka.gui.treevisualizer.Node
-
Get the value of root.
- getRootMeanSquaredError() - Method in class weka.core.pmml.jaxbbindings.PredictiveModelQuality
-
Gets the value of the rootMeanSquaredError property.
- getRootNode() - Method in class weka.core.xml.XMLDocument
-
returns the current root node.
- getRow(int) - Method in class weka.core.Matrix
-
Deprecated.
Gets a row of the matrix and returns it as double array.
- getRow() - Method in class weka.core.pmml.jaxbbindings.InlineTable
-
Gets the value of the row property.
- getRow() - Method in class weka.core.pmml.jaxbbindings.MatCell
-
Gets the value of the row property.
- getRow() - Static method in class weka.gui.experiment.ExperimenterDefaults
-
the comma-separated list of attribute names that identify a row.
- getRowCount() - Method in class weka.experiment.ResultMatrix
-
returns the number of rows.
- getRowCount() - Method in class weka.gui.arffviewer.ArffTableModel
-
returns the number of rows in the model
- getRowCount() - Method in class weka.gui.InteractiveTableModel
-
- getRowCount() - Method in class weka.gui.SortedTableModel
-
Returns the number of rows in the model.
- getRowCount() - Method in class weka.gui.sql.ResultSetHelper
-
returns the number of rows in the resultset.
- getRowCount() - Method in class weka.gui.sql.ResultSetTableModel
-
returns the number of rows in the model.
- getRowDimension() - Method in class weka.core.matrix.Matrix
-
Get row dimension.
- getRowHidden(int) - Method in class weka.experiment.ResultMatrix
-
returns the hidden status of the row, if the index is valid, otherwise
false.
- getRowName(int) - Method in class weka.experiment.ResultMatrix
-
returns the name of the row, if the index is valid, otherwise null.
- getRowNameWidth() - Method in class weka.experiment.ResultMatrix
-
returns the current width for the row names.
- getRowOrder() - Method in class weka.experiment.ResultMatrix
-
returns the current order of the rows, null means the default order.
- getRowPackedCopy() - Method in class weka.core.matrix.Matrix
-
Make a one-dimensional row packed copy of the internal array.
- getRsource() - Method in class weka.gui.treevisualizer.Edge
-
Get the value of rsource.
- getRSquared() - Method in class weka.core.pmml.jaxbbindings.PredictiveModelQuality
-
Gets the value of the rSquared property.
- getRtarget() - Method in class weka.gui.treevisualizer.Edge
-
Get the value of rtarget.
- getRule() - Method in class weka.core.pmml.jaxbbindings.CompoundRule
-
Gets the value of the rule property.
- getRule() - Method in class weka.core.pmml.jaxbbindings.RuleSet
-
Gets the value of the rule property.
- getRuleFeature() - Method in class weka.core.pmml.jaxbbindings.OutputField
-
Gets the value of the ruleFeature property.
- getRuleMetricNames() - Method in class weka.associations.Apriori
-
Gets a list of the names of the metrics output for each rule.
- getRuleMetricNames() - Method in interface weka.associations.AssociationRulesProducer
-
Gets a list of the names of the metrics output for
each rule.
- getRuleMetricNames() - Method in class weka.associations.FilteredAssociator
-
Gets a list of the names of the metrics output for each rule.
- getRuleMetricNames() - Method in class weka.associations.FPGrowth
-
Gets a list of the names of the metrics output for each rule.
- getRules() - Method in class weka.associations.AssociationRules
-
Get the rules.
- getRules() - Method in class weka.associations.FilteredAssociationRules
-
Get the rules.
- getRules() - Method in class weka.gui.beans.BatchAssociationRulesEvent
-
Get the encapsulated association rules.
- getRuleSelectionMethod() - Method in class weka.core.pmml.jaxbbindings.RuleSet
-
Gets the value of the ruleSelectionMethod property.
- getRuleset() - Method in class weka.classifiers.rules.JRip
-
Get the ruleset generated by Ripper
- getRuleset() - Method in class weka.classifiers.rules.RuleStats
-
Get the ruleset of the stats
- getRuleSetModel() - Method in class weka.core.pmml.jaxbbindings.Segment
-
Gets the value of the ruleSetModel property.
- getRulesetSize() - Method in class weka.classifiers.rules.RuleStats
-
Get the size of the ruleset in the stats
- getRulesMustContain() - Method in class weka.associations.FPGrowth
-
Get the comma separated list of items that rules must contain in order to
be output.
- getRuleStats(int) - Method in class weka.classifiers.rules.JRip
-
Get the statistics of the ruleset in the given position
- getRunColumn() - Method in class weka.experiment.PairedTTester
-
Get the value of RunColumn.
- getRunColumn() - Method in interface weka.experiment.Tester
-
Get the value of RunColumn.
- getRunLower() - Method in class weka.experiment.Experiment
-
Get the lower run number for the experiment.
- getRunNumber() - Method in class weka.gui.beans.BatchClassifierEvent
-
Get the run number.
- getRunNumber() - Method in class weka.gui.beans.TestSetEvent
-
Get the run number that this training set belongs to.
- getRunNumber() - Method in class weka.gui.beans.TrainingSetEvent
-
Get the run number that this training set belongs to.
- getRuns() - Method in class weka.classifiers.bayes.net.search.global.GeneticSearch
-
- getRuns() - Method in class weka.classifiers.bayes.net.search.global.RepeatedHillClimber
-
Returns the number of runs
- getRuns() - Method in class weka.classifiers.bayes.net.search.global.SimulatedAnnealing
-
- getRuns() - Method in class weka.classifiers.bayes.net.search.global.TabuSearch
-
- getRuns() - Method in class weka.classifiers.bayes.net.search.local.GeneticSearch
-
- getRuns() - Method in class weka.classifiers.bayes.net.search.local.RepeatedHillClimber
-
- getRuns() - Method in class weka.classifiers.bayes.net.search.local.SimulatedAnnealing
-
- getRuns() - Method in class weka.classifiers.bayes.net.search.local.TabuSearch
-
- getRunUpper() - Method in class weka.experiment.Experiment
-
Get the upper run number for the experiment.
- getS() - Method in class weka.core.matrix.SingularValueDecomposition
-
Return the diagonal matrix of singular values
- getSample() - Method in class weka.core.pmml.jaxbbindings.COUNTTABLETYPE
-
Gets the value of the sample property.
- getSampleSize() - Method in class weka.attributeSelection.ReliefFAttributeEval
-
Get the number of instances used for estimating attributes
- getSampleSize() - Method in class weka.filters.unsupervised.instance.ReservoirSample
-
Gets the subsample size.
- getSampleSizePercent() - Method in class weka.filters.supervised.instance.Resample
-
Gets the subsample size as a percentage of the original set.
- getSampleSizePercent() - Method in class weka.filters.unsupervised.instance.Resample
-
Gets the subsample size as a percentage of the original set.
- getSaveBinaryDictionary() - Method in class weka.core.converters.DictionarySaver
-
Get whether to save the dictionary as a binary serialized dictionary,
rather than a plain text one
- getSaveDialogTitle() - Method in class weka.gui.visualize.PrintableComponent
-
returns the title for the save dialog.
- getSaveDialogTitle() - Method in interface weka.gui.visualize.PrintableHandler
-
returns the title for the save dialog
- getSaveDialogTitle() - Method in class weka.gui.visualize.PrintablePanel
-
returns the title for the save dialog
- getSaveDictionaryInBinaryForm() - Method in class weka.filters.unsupervised.attribute.StringToWordVector
-
Set whether to save the dictionary in binary serialized form rather than
as plain text
- getSaveForVisualization() - Method in class weka.gui.explorer.ClassifierErrorsPlotInstances
-
Returns whether the instances are saved for visualization for only
evaluation of the prediction is to happen.
- getSaveInstanceData() - Method in class weka.classifiers.trees.J48
-
Check whether instance data is to be saved.
- getSaveInstanceData() - Method in class weka.clusterers.Cobweb
-
Get the value of saveInstances.
- getSaveInstances() - Method in class weka.classifiers.trees.M5P
-
Get whether instance data is being save.
- getSaver() - Method in class weka.gui.ConverterFileChooser
-
returns the saver that was chosen by the user, can be null in case the user
aborted the dialog or the open dialog was shown.
- getSaver() - Method in class weka.knowledgeflow.steps.Saver
-
Get the saver instance that is wrapped by this step.
- getSaverForExtension(String) - Static method in class weka.core.converters.ConverterUtils
-
tries to determine the saver to use for this kind of extension, returns
null if none can be found.
- getSaverForFile(String) - Static method in class weka.core.converters.ConverterUtils
-
tries to determine the saver to use for this kind of file, returns null if
none can be found.
- getSaverForFile(File) - Static method in class weka.core.converters.ConverterUtils
-
tries to determine the saver to use for this kind of file, returns null if
none can be found.
- getSaversForExtension(String) - Static method in class weka.core.converters.ConverterUtils
-
tries to determine the savers to use for this kind of extension.
- getSaversForFile(String) - Static method in class weka.core.converters.ConverterUtils
-
tries to determine the savers to use for this kind of file.
- getSaversForFile(File) - Static method in class weka.core.converters.ConverterUtils
-
tries to determine the savers to use for this kind of file.
- getSaverTemplate() - Method in class weka.gui.beans.Saver
-
Get the saver
- getScale() - Method in class weka.filters.unsupervised.attribute.Normalize
-
Get the scaling factor.
- getScaleWidthToFit() - Method in class weka.gui.DocumentPrinting
-
Returns whether the width is to be scaled.
- getScalingEnabled() - Method in class weka.gui.visualize.JComponentWriter
-
whether scaling is enabled or ignored
- getScore() - Method in class weka.core.pmml.jaxbbindings.Node
-
Gets the value of the score property.
- getScore() - Method in class weka.core.pmml.jaxbbindings.SimpleRule
-
Gets the value of the score property.
- getScorecard() - Method in class weka.core.pmml.jaxbbindings.Segment
-
Gets the value of the scorecard property.
- getScoreDistribution() - Method in class weka.core.pmml.jaxbbindings.RuleSet
-
Gets the value of the scoreDistribution property.
- getScoreDistribution() - Method in class weka.core.pmml.jaxbbindings.SimpleRule
-
Gets the value of the scoreDistribution property.
- getScoreType() - Method in class weka.classifiers.bayes.net.search.local.LocalScoreSearchAlgorithm
-
get quality measure to be used in searching for networks.
- getScript() - Method in class weka.gui.scripting.event.ScriptExecutionEvent
-
Returns the script that triggered the event.
- getScrollableTracksViewportHeight() - Method in class weka.gui.ETable
-
Changes the behavior of a table in a JScrollPane to be more like the
behavior of JList, which expands to fill the available space.
- getSearch() - Method in class weka.attributeSelection.CheckAttributeSelection
-
Get the current search method
- getSearch() - Method in class weka.classifiers.meta.AttributeSelectedClassifier
-
Gets the search method used
- getSearch() - Method in class weka.classifiers.rules.DecisionTable
-
Gets the current search method
- getSearch() - Method in class weka.filters.supervised.attribute.AttributeSelection
-
Get the name of the search method
- getSearchAlgorithm() - Method in class weka.classifiers.bayes.BayesNet
-
Get the SearchAlgorithm used as the search algorithm
- getSearchBackwards() - Method in class weka.attributeSelection.GreedyStepwise
-
Get whether to search backwards
- getSearchMethod() - Method in class weka.core.neighboursearch.FilteredNeighbourSearch
-
Gets the search method used.
- getSearchStrategy() - Method in class weka.knowledgeflow.steps.ASSearchStrategy
-
Get the search strategy wrapped by this step
- getSearchString() - Method in class weka.gui.arffviewer.ArffTable
-
returns the search string, can be NULL if no search string is set
- getSearchTermination() - Method in class weka.attributeSelection.BestFirst
-
Get the termination criterion (number of non-improving nodes).
- getSeasonalityExpoSmooth() - Method in class weka.core.pmml.jaxbbindings.ExponentialSmoothing
-
Gets the value of the seasonalityExpoSmooth property.
- getSecondInputStructure() - Method in class weka.knowledgeflow.steps.Join
-
Get the Instances structure being produced by the second input
- getSecondValueIndex() - Method in class weka.filters.unsupervised.attribute.MergeTwoValues
-
Get the index of the second value used.
- getSecondValueIndex() - Method in class weka.filters.unsupervised.attribute.SwapValues
-
Get the index of the second value used.
- getSeed() - Method in class weka.attributeSelection.ClassifierAttributeEval
-
Get the random number seed used for cross validation
- getSeed() - Method in class weka.attributeSelection.ClassifierSubsetEval
-
Get the random seed used to randomize the data before performing a
percentage split
- getSeed() - Method in class weka.attributeSelection.OneRAttributeEval
-
Get the random number seed
- getSeed() - Method in class weka.attributeSelection.ReliefFAttributeEval
-
Get the seed used for randomly sampling instances.
- getSeed() - Method in class weka.attributeSelection.WrapperSubsetEval
-
Get the random number seed used for cross validation
- getSeed() - Method in class weka.classifiers.bayes.net.search.global.GeneticSearch
-
- getSeed() - Method in class weka.classifiers.bayes.net.search.global.RepeatedHillClimber
-
Returns the random seed
- getSeed() - Method in class weka.classifiers.bayes.net.search.global.SimulatedAnnealing
-
- getSeed() - Method in class weka.classifiers.bayes.net.search.local.GeneticSearch
-
- getSeed() - Method in class weka.classifiers.bayes.net.search.local.RepeatedHillClimber
-
- getSeed() - Method in class weka.classifiers.bayes.net.search.local.SimulatedAnnealing
-
- getSeed() - Method in class weka.classifiers.BVDecompose
-
Gets the random number seed
- getSeed() - Method in class weka.classifiers.BVDecomposeSegCVSub
-
Gets the random number seed
- getSeed() - Method in class weka.classifiers.evaluation.EvaluationUtils
-
Gets the seed for randomization during cross-validation
- getSeed() - Method in class weka.classifiers.functions.MultilayerPerceptron
-
- getSeed() - Method in class weka.classifiers.functions.supportVector.RegOptimizer
-
Gets the current seed value for the random number generator
- getSeed() - Method in class weka.classifiers.functions.VotedPerceptron
-
Get the value of Seed.
- getSeed() - Method in class weka.classifiers.meta.MultiScheme
-
Gets the random number seed.
- getSeed() - Method in class weka.classifiers.RandomizableClassifier
-
Gets the seed for the random number generations
- getSeed() - Method in class weka.classifiers.RandomizableIteratedSingleClassifierEnhancer
-
Gets the seed for the random number generations
- getSeed() - Method in class weka.classifiers.RandomizableMultipleClassifiersCombiner
-
Gets the seed for the random number generations
- getSeed() - Method in class weka.classifiers.RandomizableParallelIteratedSingleClassifierEnhancer
-
Gets the seed for the random number generations
- getSeed() - Method in class weka.classifiers.RandomizableParallelMultipleClassifiersCombiner
-
Gets the seed for the random number generations
- getSeed() - Method in class weka.classifiers.RandomizableSingleClassifierEnhancer
-
Gets the seed for the random number generations
- getSeed() - Method in class weka.classifiers.rules.JRip
-
Gets the current seed value to use in randomizing the data
- getSeed() - Method in class weka.classifiers.rules.PART
-
Get the value of Seed.
- getSeed() - Method in class weka.classifiers.trees.J48
-
Get the value of Seed.
- getSeed() - Method in class weka.classifiers.trees.RandomTree
-
Gets the seed for the random number generations
- getSeed() - Method in class weka.classifiers.trees.REPTree
-
Get the value of Seed.
- getSeed() - Method in class weka.clusterers.RandomizableClusterer
-
Gets the seed for the random number generations
- getSeed() - Method in class weka.clusterers.RandomizableDensityBasedClusterer
-
Gets the seed for the random number generations
- getSeed() - Method in class weka.clusterers.RandomizableSingleClustererEnhancer
-
Gets the seed for the random number generations
- getSeed() - Method in class weka.core.neighboursearch.balltrees.MiddleOutConstructor
-
Returns the seed for random number generator.
- getSeed() - Method in interface weka.core.Randomizable
-
Gets the seed for the random number generations
- getSeed() - Method in class weka.core.TestInstances
-
returns the current seed value
- getSeed() - Method in class weka.datagenerators.classifiers.classification.BayesNet
-
Gets the random number seed.
- getSeed() - Method in class weka.datagenerators.DataGenerator
-
Gets the random number seed.
- getSeed() - Method in class weka.estimators.UnivariateMixtureEstimator
-
Gets the seed for the random number generations
- getSeed() - Method in class weka.filters.MultiFilter
-
Gets the seed for the random number generations
- getSeed() - Method in class weka.filters.supervised.attribute.ClassOrder
-
Get the current randomization seed
- getSeed() - Method in class weka.filters.supervised.instance.Resample
-
- getSeed() - Method in class weka.filters.supervised.instance.SpreadSubsample
-
- getSeed() - Method in class weka.filters.supervised.instance.StratifiedRemoveFolds
-
Gets the random number seed used for shuffling the dataset.
- getSeed() - Method in class weka.filters.unsupervised.attribute.AddNoise
-
- getSeed() - Method in class weka.filters.unsupervised.attribute.RandomProjection
-
Gets the random seed of the random number generator
- getSeed() - Method in class weka.filters.unsupervised.attribute.RandomSubset
-
Get the seed value for the random number generator.
- getSeed() - Method in class weka.filters.unsupervised.attribute.ReplaceWithMissingValue
-
Get the random number generator seed value.
- getSeed() - Method in class weka.filters.unsupervised.instance.Randomize
-
- getSeed() - Method in class weka.filters.unsupervised.instance.RemoveFolds
-
Gets the random number seed used for shuffling the dataset.
- getSeed() - Method in class weka.filters.unsupervised.instance.Resample
-
- getSeed() - Method in class weka.filters.unsupervised.instance.ReservoirSample
-
- getSeed() - Method in class weka.gui.beans.CrossValidationFoldMaker
-
Get the currently set seed
- getSeed() - Method in class weka.gui.beans.TrainTestSplitMaker
-
Get the value of the random seed
- getSeed() - Method in class weka.knowledgeflow.steps.CrossValidationFoldMaker
-
Get the random seed
- getSeed() - Method in class weka.knowledgeflow.steps.TrainTestSplitMaker
-
Get the random seed to use
- getSegment() - Method in class weka.core.pmml.jaxbbindings.Segmentation
-
Gets the value of the segment property.
- getSegmentId() - Method in class weka.core.pmml.jaxbbindings.OutputField
-
Gets the value of the segmentId property.
- getSelectedAttributes() - Method in class weka.filters.unsupervised.attribute.RenameNominalValues
-
- getSelectedAttributes() - Method in class weka.gui.AttributeSelectionPanel
-
Gets an array containing the indices of all selected attributes.
- getSelectedBeans() - Method in class weka.gui.beans.KnowledgeFlowApp.MainKFPerspective
-
- getSelectedBeans(int) - Method in class weka.gui.beans.KnowledgeFlowApp.MainKFPerspective
-
- getSelectedBuffer() - Method in class weka.gui.ResultHistoryPanel
-
Gets the buffer associated with the currently selected item in the list.
- getSelectedClassIndex() - Method in class weka.gui.explorer.ClassifierPanel
-
Get the selected (0-based) class index
- getSelectedEnumValue() - Method in class weka.core.EnumHelper
-
Get the selected/wrapped enum value (as obtained by calling toString() on
the enum value)
- getSelectedEvalMetrics() - Method in class weka.gui.EvaluationMetricSelectionDialog
-
Get the list of selected evaluation metrics
- getSelectedName() - Method in class weka.gui.ResultHistoryPanel
-
Get the name of the currently selected item in the list
- getSelectedObject() - Method in class weka.gui.ResultHistoryPanel
-
Gets the object associated with the currently selected item in the list.
- getSelectedRange() - Method in class weka.core.DictionaryBuilder
-
Get the value of m_SelectedRange.
- getSelectedRange() - Method in class weka.filters.unsupervised.attribute.StringToWordVector
-
Get the value of m_SelectedRange.
- getSelectedTag() - Method in class weka.core.SelectedTag
-
Gets the selected Tag.
- getSelection() - Method in class weka.core.Range
-
Gets an array containing all the selected values, in the order that they
were selected (or ascending order if range inversion is on).
- getSelectionModel() - Method in class weka.gui.AttributeListPanel
-
Gets the selection model used by the table.
- getSelectionModel() - Method in class weka.gui.AttributeSelectionPanel
-
Gets the selection model used by the table.
- getSelectionModel() - Method in class weka.gui.ResultHistoryPanel
-
Gets the selection model used by the results list.
- getSeparateTestSetClassIndex() - Method in class weka.gui.explorer.ClassifierPanel
-
Get the class index specified for the separate test set
- getSeparateTestSetLoader() - Method in class weka.gui.explorer.ClassifierPanel
-
Get the loader object used for loading a separate test set
- getSeperator() - Method in class weka.gui.HierarchyPropertyParser
-
Get the seperator between levels.
- getSeqId() - Method in class weka.core.pmml.jaxbbindings.SequenceReference
-
Gets the value of the seqId property.
- getSequenceModel() - Method in class weka.core.pmml.jaxbbindings.Segment
-
Gets the value of the sequenceModel property.
- getSequenceReference() - Method in class weka.core.pmml.jaxbbindings.AntecedentSequence
-
Gets the value of the sequenceReference property.
- getSequenceReference() - Method in class weka.core.pmml.jaxbbindings.ConsequentSequence
-
Gets the value of the sequenceReference property.
- getSerializedClassifierFile() - Method in class weka.filters.supervised.attribute.AddClassification
-
Gets the file pointing to a serialized, trained classifier.
- getSerializedClustererFile() - Method in class weka.filters.unsupervised.attribute.AddCluster
-
Gets the file pointing to a serialized, built clusterer.
- getSetId() - Method in class weka.core.pmml.jaxbbindings.SetReference
-
Gets the value of the setId property.
- getSetNumber() - Method in class weka.gui.beans.BatchClassifierEvent
-
Get the set number (ie which fold this is)
- getSetNumber() - Method in class weka.gui.beans.BatchClustererEvent
-
Get the set number (ie which fold this is)
- getSetNumber() - Method in class weka.gui.beans.TestSetEvent
-
Get the test set number (eg.
- getSetNumber() - Method in class weka.gui.beans.TrainingSetEvent
-
Get the set number (eg.
- getSetReference() - Method in class weka.core.pmml.jaxbbindings.Sequence
-
Gets the value of the setReference property.
- getSetting(String, String, T, Environment) - Method in class weka.core.Settings
-
- getSetting(String, Settings.SettingKey, T) - Method in class weka.core.Settings
-
Get the value of a setting
- getSetting(String, Settings.SettingKey, T, Environment) - Method in class weka.core.Settings
-
Get the value of a setting
- getSetting(Settings.SettingKey, T) - Method in class weka.gui.knowledgeflow.MainKFPerspective
-
Get the value of a setting for the main perspective
- getSettings(String) - Method in class weka.core.Settings
-
Get the settings for a given ID
- getSettings() - Method in class weka.gui.knowledgeflow.BaseInteractiveViewer
-
Get the settings object for the application
- getSettings() - Method in interface weka.gui.knowledgeflow.StepInteractiveViewer
-
Get the settings object
- getSettings() - Method in class weka.knowledgeflow.BaseExecutionEnvironment
-
- getSettings() - Method in interface weka.knowledgeflow.ExecutionEnvironment
-
Get knowledge flow settings for this execution environment
- getSettings() - Method in interface weka.knowledgeflow.FlowExecutor
-
Convenience method for getting current settings - implementers should
delegate the the execution environment
- getSettings() - Method in class weka.knowledgeflow.FlowRunner
-
Get the settings in use when executing the Flow
- getSettings() - Method in interface weka.knowledgeflow.StepManager
-
Get the knowledge flow settings
- getSettings() - Method in class weka.knowledgeflow.StepManagerImpl
-
Get the current knowledge flow settings
- getSettingsIDs() - Method in class weka.core.Settings
-
Get a list of settings IDs
- getSetupPanel() - Static method in class weka.gui.experiment.ExperimenterDefaults
-
returns the class name of the default setup panel.
- getShape() - Method in class weka.gui.treevisualizer.Node
-
Get the value of shape.
- getShapeSize() - Method in class weka.gui.visualize.PlotData2D
-
Get the shape sizes for the plot data
- getShapeType() - Method in class weka.gui.visualize.PlotData2D
-
Get the shape types for the plot data
- getShowAttBars() - Method in class weka.gui.visualize.VisualizePanel
-
Gets whether or not attribute bars are being displayed.
- getShowAttributeIndex() - Method in class weka.gui.arffviewer.ArffPanel
-
Returns whether to display the attribute index in the header.
- getShowAttributeIndex() - Method in class weka.gui.arffviewer.ArffSortedTableModel
-
Returns whether to display the attribute index in the header.
- getShowAttributeIndex() - Method in class weka.gui.arffviewer.ArffTableModel
-
Returns whether to display the attribute index in the header.
- getShowAverage() - Method in class weka.experiment.ResultMatrix
-
returns whether average per column is displayed or not.
- getShowAverage() - Static method in class weka.gui.experiment.ExperimenterDefaults
-
returns whether the Average is shown by default.
- getShowClassPanel() - Method in class weka.gui.visualize.VisualizePanel
-
Gets whether or not the class panel is being displayed.
- getShowGlobalInfoToolTips() - Method in class weka.gui.GenericObjectEditor
-
- getShowStdDev() - Method in class weka.experiment.ResultMatrix
-
returns whether std deviations are displayed or not.
- getShowStdDevs() - Method in class weka.experiment.PairedTTester
-
Returns true if standard deviations have been requested.
- getShowStdDevs() - Method in interface weka.experiment.Tester
-
Returns true if standard deviations have been requested.
- getShowStdDevs() - Static method in class weka.gui.experiment.ExperimenterDefaults
-
returns whether StdDevs are shown by default.
- getShowZeroInstancesAsUnknown() - Method in class weka.gui.InstancesSummaryPanel
-
Get whether to show zero instances as unknown (i.e.
- getShrinkage() - Method in class weka.classifiers.meta.AdditiveRegression
-
Get the shrinkage rate.
- getShrinkage() - Method in class weka.classifiers.meta.LogitBoost
-
Get the value of Shrinkage.
- getSigma() - Method in class weka.attributeSelection.ReliefFAttributeEval
-
Get the value of sigma.
- getSigma() - Method in class weka.classifiers.BVDecompose
-
Get the calculated sigma squared
- getSigma() - Method in class weka.classifiers.functions.supportVector.Puk
-
Gets the sigma value.
- getSignificance(int, int) - Method in class weka.experiment.ResultMatrix
-
returns the significance at the given position, if the position is valid,
otherwise SIGNIFICANCE_ATIE.
- getSignificance() - Static method in class weka.gui.experiment.ExperimenterDefaults
-
returns the default significance.
- getSignificanceCount(int, int) - Method in class weka.experiment.ResultMatrix
-
counts the occurrences of the given significance type in the given column.
- getSignificanceLevel() - Method in class weka.associations.Apriori
-
Get the value of significanceLevel.
- getSignificanceLevel() - Method in class weka.experiment.PairedTTester
-
Get the value of SignificanceLevel.
- getSignificanceLevel() - Method in interface weka.experiment.Tester
-
Get the value of SignificanceLevel.
- getSignificanceLevel() - Method in class weka.filters.supervised.attribute.MergeNominalValues
-
Gets the significance level.
- getSignificanceWidth() - Method in class weka.experiment.ResultMatrix
-
returns the current width for the significance.
- getSilent() - Method in class weka.core.Check
-
Get whether silent mode is turned on
- getSilent() - Method in class weka.core.Javadoc
-
whether output in the console is suppressed
- getSilent() - Method in class weka.estimators.CheckEstimator
-
Get whether silent mode is turned on
- getSimilarityScale() - Method in class weka.core.pmml.jaxbbindings.ClusteringField
-
Gets the value of the similarityScale property.
- getSimilarityType() - Method in class weka.core.pmml.jaxbbindings.TextModelSimiliarity
-
Gets the value of the similarityType property.
- getSimpleMatching() - Method in class weka.core.pmml.jaxbbindings.ComparisonMeasure
-
Gets the value of the simpleMatching property.
- getSimplePredicate() - Method in class weka.core.pmml.jaxbbindings.Attribute
-
Gets the value of the simplePredicate property.
- getSimplePredicate() - Method in class weka.core.pmml.jaxbbindings.CompoundRule
-
Gets the value of the simplePredicate property.
- getSimplePredicate() - Method in class weka.core.pmml.jaxbbindings.Segment
-
Gets the value of the simplePredicate property.
- getSimplePredicate() - Method in class weka.core.pmml.jaxbbindings.SimpleRule
-
Gets the value of the simplePredicate property.
- getSimplePredicateOrCompoundPredicateOrSimpleSetPredicate() - Method in class weka.core.pmml.jaxbbindings.CompoundPredicate
-
Gets the value of the simplePredicateOrCompoundPredicateOrSimpleSetPredicate property.
- getSimpleSetPredicate() - Method in class weka.core.pmml.jaxbbindings.Attribute
-
Gets the value of the simpleSetPredicate property.
- getSimpleSetPredicate() - Method in class weka.core.pmml.jaxbbindings.CompoundRule
-
Gets the value of the simpleSetPredicate property.
- getSimpleSetPredicate() - Method in class weka.core.pmml.jaxbbindings.Segment
-
Gets the value of the simpleSetPredicate property.
- getSimpleSetPredicate() - Method in class weka.core.pmml.jaxbbindings.SimpleRule
-
Gets the value of the simpleSetPredicate property.
- getSimpleStats(int) - Method in class weka.classifiers.rules.RuleStats
-
Get the simple stats of one rule, including 6 parameters: 0: coverage;
1:uncoverage; 2: true positive; 3: true negatives; 4: false positives; 5:
false negatives
- getSIndex() - Method in class weka.gui.visualize.VisualizePanel
-
Get the index of the shape selected for creating splits.
- getSingleIndex() - Method in class weka.core.SingleIndex
-
Gets the string representing the selected range of values.
- getSingleLineCommentStart() - Method in class weka.gui.scripting.SyntaxDocument
-
Retrusn the single line comment start string.
- getSingleModeFlag() - Method in class weka.datagenerators.classifiers.classification.Agrawal
-
Return if single mode is set for the given data generator mode depends on
option setting and or generator type.
- getSingleModeFlag() - Method in class weka.datagenerators.classifiers.classification.BayesNet
-
Return if single mode is set for the given data generator mode depends on
option setting and or generator type.
- getSingleModeFlag() - Method in class weka.datagenerators.classifiers.classification.LED24
-
Return if single mode is set for the given data generator mode depends on
option setting and or generator type.
- getSingleModeFlag() - Method in class weka.datagenerators.classifiers.classification.RandomRBF
-
Return if single mode is set for the given data generator mode depends on
option setting and or generator type.
- getSingleModeFlag() - Method in class weka.datagenerators.classifiers.classification.RDG1
-
Gets the single mode flag.
- getSingleModeFlag() - Method in class weka.datagenerators.classifiers.regression.Expression
-
Return if single mode is set for the given data generator mode depends on
option setting and or generator type.
- getSingleModeFlag() - Method in class weka.datagenerators.classifiers.regression.MexicanHat
-
Return if single mode is set for the given data generator mode depends on
option setting and or generator type.
- getSingleModeFlag() - Method in class weka.datagenerators.clusterers.BIRCHCluster
-
Gets the single mode flag.
- getSingleModeFlag() - Method in class weka.datagenerators.clusterers.SubspaceCluster
-
Gets the single mode flag.
- getSingleModeFlag() - Method in class weka.datagenerators.DataGenerator
-
Return if single mode is set for the given data generator mode depends on
option setting and or generator type.
- getSingleton() - Static method in class weka.core.logging.Logger
-
Returns the singleton instance of the logger.
- getSingleton() - Static method in class weka.gui.beans.KnowledgeFlowApp
-
Return the singleton instance of the KnowledgeFlow
- getSingleton() - Static method in class weka.gui.Main
-
Return the singleton instance of the Main GUI.
- getSingularValues() - Method in class weka.core.matrix.SingularValueDecomposition
-
Return the one-dimensional array of singular values
- getSize() - Method in class weka.core.Debug.Log
-
returns the size of the files
- getSize() - Method in class weka.core.pmml.jaxbbindings.Cluster
-
Gets the value of the size property.
- getSize() - Method in class weka.core.pmml.jaxbbindings.Partition
-
Gets the value of the size property.
- getSize() - Method in class weka.gui.beans.EnvironmentField.WideComboBox
-
Deprecated.
- getSize() - Method in class weka.gui.EnvironmentField.WideComboBox
-
- getSkipIdentical() - Method in class weka.core.neighboursearch.LinearNNSearch
-
Gets whether if identical instances are skipped from the neighbourhood.
- getSlope() - Method in class weka.classifiers.functions.SimpleLinearRegression
-
Returns the slope of the function.
- getSlope() - Method in class weka.classifiers.trees.lmt.SimpleLinearRegression
-
Returns the slope of the function.
- getSmoothedValue() - Method in class weka.core.pmml.jaxbbindings.Level
-
Gets the value of the smoothedValue property.
- getSmoothedValue() - Method in class weka.core.pmml.jaxbbindings.TrendExpoSmooth
-
Gets the value of the smoothedValue property.
- getSmoothing() - Method in class weka.classifiers.trees.m5.Rule
-
Get whether or not smoothing has been turned on
- getSnapToGrid() - Method in class weka.gui.knowledgeflow.MainKFPerspective
-
Return true if the snap-to-grid button is selected
- getSons() - Method in class weka.classifiers.trees.j48.ClassifierTree
-
- getSort() - Method in class weka.filters.unsupervised.attribute.AddValues
-
Gets whether the labels are sorted or not.
- getSortColumn() - Method in class weka.experiment.PairedTTester
-
Returns the column to sort on, -1 means the default sorting.
- getSortColumn() - Method in interface weka.experiment.Tester
-
Returns the column to sort on, -1 means the default sorting.
- getSortColumnName() - Method in class weka.experiment.PairedTTester
-
Returns the name of the column to sort on.
- getSortColumnName() - Method in interface weka.experiment.Tester
-
Returns the name of the column to sort on.
- getSortDetails() - Method in class weka.gui.beans.Sorter
-
Get the sort rules to use
- getSortDetails() - Method in class weka.knowledgeflow.steps.Sorter
-
Get the sort rules to use
- getSortDictionary() - Method in class weka.core.DictionaryBuilder
-
Get whether to keep the dictionary sorted alphabetically as it is built.
- getSorting() - Static method in class weka.gui.experiment.ExperimenterDefaults
-
returns the default sorting (empty string means none).
- getSortType() - Method in class weka.filters.unsupervised.attribute.SortLabels
-
Gets the sort type to be used.
- getSource() - Method in class weka.core.packageManagement.Dependency
-
Get the source package.
- getSource() - Method in class weka.gui.beans.BeanConnection
-
returns the source BeanInstance for this connection
- getSource() - Method in class weka.gui.treevisualizer.Edge
-
Get the value of source.
- getSourceCode() - Method in class weka.classifiers.CheckSource
-
Gets the class to test.
- getSourceCode() - Method in class weka.filters.CheckSource
-
Gets the class to test.
- getSourceCodeClassName() - Method in class weka.gui.explorer.ClassifierPanel
-
Gets the name of the source code class to be generated
- getSourceStep() - Method in class weka.knowledgeflow.Data
-
Get the source step producing this Data object
- getSparseData() - Method in class weka.core.converters.DatabaseLoader
-
Gets whether data is to be returned as a set of sparse instances
- getSparseData() - Method in class weka.experiment.InstanceQuery
-
Gets whether data is to be returned as a set of sparse instances
- getSparseData() - Method in interface weka.experiment.InstanceQueryAdapter
-
Gets whether data is to be returned as a set of sparse instances
- getSplitByDataSet() - Method in class weka.experiment.RemoteExperiment
-
Returns true if sub experiments are to be created on the basis of data
set.
- getSplitByProperty() - Method in class weka.experiment.RemoteExperiment
-
Returns true if sub experiments are to be created on the basis of property.
- getSplitCharacteristic() - Method in class weka.core.pmml.jaxbbindings.DecisionTree
-
Gets the value of the splitCharacteristic property.
- getSplitCharacteristic() - Method in class weka.core.pmml.jaxbbindings.TreeModel
-
Gets the value of the splitCharacteristic property.
- getSplitConfidence() - Method in class weka.classifiers.trees.HoeffdingTree
-
Get the allowable error in a split decision.
- getSplitCriterion() - Method in class weka.classifiers.trees.HoeffdingTree
-
Get the split criterion to use (either Gini or info gain).
- getSplitDim() - Method in class weka.core.neighboursearch.kdtrees.KDTreeNode
-
Gets the splitting dimension.
- getSplitEvaluator() - Method in class weka.experiment.CrossValidationResultProducer
-
Get the SplitEvaluator.
- getSplitEvaluator() - Method in class weka.experiment.ExplicitTestsetResultProducer
-
Get the SplitEvaluator.
- getSplitEvaluator() - Method in class weka.experiment.RandomSplitResultProducer
-
Get the SplitEvaluator.
- getSplitOnResiduals() - Method in class weka.classifiers.trees.LMT
-
Get the value of splitOnResiduals.
- getSplitPercent() - Method in class weka.attributeSelection.ClassifierSubsetEval
-
Get the split percentage to use
- getSplitPercentage() - Method in class weka.classifiers.meta.IterativeClassifierOptimizer
-
Get the value of SplitPercentage.
- getSplitPoint() - Method in class weka.associations.NumericItem
-
Gets the numeric test.
- getSplitPoint() - Method in class weka.classifiers.rules.JRip.NumericAntd
-
Get split point of this numeric antecedent
- getSplitPoint() - Method in class weka.filters.unsupervised.instance.RemoveWithValues
-
Get the split point used for numeric selection
- getSplitValue() - Method in class weka.core.neighboursearch.kdtrees.KDTreeNode
-
Gets the splitting value.
- getSpreadAttributeWeight() - Method in class weka.filters.supervised.attribute.ClassConditionalProbabilities
-
If true, when generating attributes, spread weight of old
attribute across new attributes.
- getSpreadAttributeWeight() - Method in class weka.filters.supervised.attribute.Discretize
-
If true, when generating binary attributes, spread weight of old
attribute across new attributes.
- getSpreadAttributeWeight() - Method in class weka.filters.supervised.attribute.NominalToBinary
-
If true, when generating binary attributes, spread weight of old
attribute across new attributes.
- getSpreadAttributeWeight() - Method in class weka.filters.unsupervised.attribute.Discretize
-
If true, when generating binary attributes, spread weight of old
attribute across new attributes.
- getSpreadAttributeWeight() - Method in class weka.filters.unsupervised.attribute.NominalToBinary
-
If true, when generating binary attributes, spread weight of old
attribute across new attributes.
- getSpreadInitialCount() - Method in class weka.classifiers.trees.REPTree
-
Get the value of SpreadInitialCount.
- getSqlWhere() - Method in class weka.core.pmml.jaxbbindings.Aggregate
-
Gets the value of the sqlWhere property.
- getSquaredError() - Method in class weka.clusterers.SimpleKMeans
-
Gets the squared error for all clusters.
- getSquaredEuclidean() - Method in class weka.core.pmml.jaxbbindings.ComparisonMeasure
-
Gets the value of the squaredEuclidean property.
- getSSB() - Method in class weka.core.pmml.jaxbbindings.ClusteringModelQuality
-
Gets the value of the ssb property.
- getSSE() - Method in class weka.core.pmml.jaxbbindings.ClusteringModelQuality
-
Gets the value of the sse property.
- getStamp() - Method in class weka.core.Debug.Timestamp
-
returns the associated date/time
- getStandardDeviation(Instance) - Method in class weka.classifiers.functions.GaussianProcesses
-
Gives standard deviation of the prediction at the given instance.
- getStandardDeviation() - Method in class weka.core.pmml.jaxbbindings.NumericInfo
-
Gets the value of the standardDeviation property.
- getStandardDeviation() - Method in class weka.core.pmml.jaxbbindings.Time
-
Gets the value of the standardDeviation property.
- getStandardError() - Method in class weka.core.pmml.jaxbbindings.TimeValue
-
Gets the value of the standardError property.
- getStart() - Method in class weka.core.Debug.Clock
-
returns the start time
- getStartMessage() - Method in class weka.gui.beans.Loader
-
Gets a string that describes the start action.
- getStartMessage() - Method in class weka.gui.beans.MetaBean
-
- getStartMessage() - Method in interface weka.gui.beans.Startable
-
Gets a string that describes the start action.
- getStartPoints(Integer...) - Static method in class weka.gui.beans.BeanInstance
-
Returns a list of start points (if any) in the indexed flow
- getStartSequentially() - Method in class weka.gui.beans.FlowRunner
-
Gets whether Startable beans will be launched sequentially or all in
parallel.
- getStartSet() - Method in class weka.attributeSelection.BestFirst
-
Returns a list of attributes (and or attribute ranges) as a String
- getStartSet() - Method in class weka.attributeSelection.GreedyStepwise
-
Returns a list of attributes (and or attribute ranges) as a String
- getStartSet() - Method in class weka.attributeSelection.Ranker
-
Returns a list of attributes (and or attribute ranges) as a String
- getStartSet() - Method in interface weka.attributeSelection.StartSetHandler
-
Returns a list of attributes (and or attribute ranges) as a String
- getStartTime() - Method in class weka.core.pmml.jaxbbindings.TimeSeries
-
Gets the value of the startTime property.
- getStartTimeVariable() - Method in class weka.core.pmml.jaxbbindings.GeneralRegressionModel
-
Gets the value of the startTimeVariable property.
- getStaticArgs() - Method in class weka.knowledgeflow.steps.ExecuteProcess
-
Get the arguments for the static command
- getStaticCmd() - Method in class weka.knowledgeflow.steps.ExecuteProcess
-
Get the static command to be executed
- getStaticIcon() - Method in class weka.gui.beans.BeanVisual
-
Returns the static icon
- getStaticWorkingDir() - Method in class weka.knowledgeflow.steps.ExecuteProcess
-
Get the working directory for the static command
- getStatistic(String) - Method in class weka.classifiers.evaluation.AbstractEvaluationMetric
-
Get the value of the named statistic
- getStatistic(String, int) - Method in interface weka.classifiers.evaluation.InformationRetrievalEvaluationMetric
-
Get the value of the named statistic for the given class index.
- getStatisticNames() - Method in class weka.classifiers.evaluation.AbstractEvaluationMetric
-
Get a list of the names of the statistics that this metrics computes.
- getStats() - Method in class weka.core.neighboursearch.PerformanceStats
-
Returns a string representation of the statistics.
- getStats() - Method in class weka.core.neighboursearch.TreePerformanceStats
-
Returns a string representation of the statistics.
- getStatus() - Method in class weka.gui.beans.IncrementalClassifierEvent
-
Get the status
- getStatus() - Method in class weka.gui.beans.InstanceEvent
-
Get the status
- getStatusFrequency() - Method in class weka.gui.beans.IncrementalClassifierEvaluator
-
Get how often progress is reported to the status bar.
- getStatusFrequency() - Method in class weka.knowledgeflow.steps.IncrementalClassifierEvaluator
-
Get how often progress is reported to the status bar.
- getStatusMessage() - Method in class weka.experiment.TaskStatusInfo
-
Get the status message.
- getStatusTable() - Method in class weka.gui.beans.LogPanel
-
The JTable used for the status messages (in case clients want to attach
listeners etc.)
- getStatusVariable() - Method in class weka.core.pmml.jaxbbindings.GeneralRegressionModel
-
Gets the value of the statusVariable property.
- getStdDev() - Method in class weka.estimators.KernelEstimator
-
Return the standard deviation of this kernel estimator.
- getStdDev() - Method in class weka.estimators.NormalEstimator
-
Return the value of the standard deviation of this normal estimator.
- getStdDev(int, int) - Method in class weka.experiment.ResultMatrix
-
returns the std deviation at the given position, if the position is valid,
otherwise 0.
- getStdDevCoordsPerPoint() - Method in class weka.core.neighboursearch.PerformanceStats
-
Returns the standard deviation of coords per point.
- getStdDevIntNodesVisited() - Method in class weka.core.neighboursearch.TreePerformanceStats
-
Returns the standard deviation of internal nodes visited.
- getStdDevLeavesVisited() - Method in class weka.core.neighboursearch.TreePerformanceStats
-
Returns the standard deviation of leaves visited.
- getStdDevPointsVisited() - Method in class weka.core.neighboursearch.PerformanceStats
-
Returns the standard deviation of points visited.
- getStdDevPrec() - Method in class weka.experiment.ResultMatrix
-
returns the current standard deviation precision.
- getStdDevPrecision() - Static method in class weka.gui.experiment.ExperimenterDefaults
-
returns the default precision for the stddevs.
- getStddevValue() - Method in class weka.datagenerators.clusterers.SubspaceClusterDefinition
-
- getStdDevWidth() - Method in class weka.experiment.ResultMatrix
-
returns the current width for the std dev.
- getStdError() - Method in class weka.core.pmml.jaxbbindings.MultivariateStat
-
Gets the value of the stdError property.
- getStemmer() - Method in class weka.classifiers.bayes.NaiveBayesMultinomialText
-
Returns the current stemming algorithm, null if none is used.
- getStemmer() - Method in class weka.classifiers.functions.SGDText
-
Returns the current stemming algorithm, null if none is used.
- getStemmer() - Method in class weka.core.converters.DictionarySaver
-
Returns the current stemming algorithm, null if none is used.
- getStemmer() - Method in class weka.core.DictionaryBuilder
-
Returns the current stemming algorithm, null if none is used.
- getStemmer() - Method in class weka.core.stemmers.SnowballStemmer
-
returns the name of the current stemmer, null if none is set.
- getStemmer() - Method in class weka.filters.unsupervised.attribute.FixedDictionaryStringToWordVector
-
Returns the current stemming algorithm, null if none is used.
- getStemmer() - Method in class weka.filters.unsupervised.attribute.StringToWordVector
-
Returns the current stemming algorithm, null if none is used.
- getStep() - Method in class weka.gui.knowledgeflow.BaseInteractiveViewer
-
Get the step that owns this viewer.
- getStepInteractiveViewActionNames() - Method in class weka.gui.knowledgeflow.StepVisual
-
Get a set of fully qualified names of interactive viewers that the wrapped
step provides.
- getStepInteractiveViewComponent(String) - Method in class weka.gui.knowledgeflow.StepVisual
-
Gets an instance of the named step interactive viewer component
- getStepManager() - Method in class weka.gui.knowledgeflow.StepVisual
-
Get the step manager for this visual
- getStepManager() - Method in class weka.knowledgeflow.steps.BaseStep
-
Get the step manager for this step
- getStepManager() - Method in interface weka.knowledgeflow.steps.Step
-
Get the step manager in use with this step
- getStepMustRunSingleThreaded() - Method in interface weka.knowledgeflow.StepManager
-
Returns true if the step managed by this step manager has been marked as
one that must run single-threaded.
- getStepMustRunSingleThreaded() - Method in class weka.knowledgeflow.StepManagerImpl
-
Get whether the managed step must run single-threaded.
- getStepName() - Method in class weka.gui.knowledgeflow.StepVisual
-
Convenience method for getting the name of the step that this visual wraps
- getStepOutgoingConnectionTypes() - Method in class weka.knowledgeflow.StepManagerImpl
-
Used by the rendering routine in LayoutPanel to ensure that connections
downstream from a deleted connection get rendered in grey rather than red.
- getStepProperties(String) - Method in class weka.knowledgeflow.JobEnvironment
-
Get the step properties for a named step
- getStepProperty(String) - Method in class weka.knowledgeflow.StepManagerImpl
-
Get a named property for this step.
- getSteps() - Method in class weka.knowledgeflow.Flow
-
Get a list of the Steps in this Flow
- getStepSize() - Method in class weka.classifiers.meta.IterativeClassifierOptimizer
-
Get the value of StepSize.
- getStepsize() - Method in class weka.core.pmml.jaxbbindings.TimeAnchor
-
Gets the value of the stepsize property.
- getStepSize() - Method in class weka.experiment.LearningRateResultProducer
-
Get the value of StepSize.
- getStepToWaitFor() - Method in class weka.knowledgeflow.steps.Block
-
Get the step to wait for
- getStepVisual() - Method in class weka.knowledgeflow.StepManagerImpl
-
Get the step visual in use (if running in a visual environment)
- getStop() - Method in class weka.core.Debug.Clock
-
returns the stop time or, if still running, the current time
- getStopwords() - Method in class weka.core.stopwords.AbstractFileBasedStopwords
-
returns the file used for obtaining the stopwords, if the file represents a
directory then the default ones are used.
- getStopwords() - Method in class weka.core.stopwords.MultiStopwords
-
Returns the stopwords algorithms.
- getStopwordsHandler() - Method in class weka.classifiers.bayes.NaiveBayesMultinomialText
-
Gets the stopwords handler.
- getStopwordsHandler() - Method in class weka.classifiers.functions.SGDText
-
Gets the stopwords handler.
- getStopwordsHandler() - Method in class weka.core.converters.DictionarySaver
-
Gets the stopwords handler.
- getStopwordsHandler() - Method in class weka.core.DictionaryBuilder
-
Gets the stopwords handler.
- getStopwordsHandler() - Method in class weka.filters.unsupervised.attribute.FixedDictionaryStringToWordVector
-
Gets the stopwords handler.
- getStopwordsHandler() - Method in class weka.filters.unsupervised.attribute.StringToWordVector
-
Gets the stopwords handler.
- getStoreName() - Method in class weka.core.Settings
-
Get the store name for these settings
- getStoreOutOfBagPredictions() - Method in class weka.classifiers.meta.Bagging
-
Get whether the out of bag predictions are stored.
- getString() - Method in class weka.core.Trie.TrieNode
-
returns the full string up to the root
- getStringAttributes() - Method in class weka.core.converters.CSVLoader
-
Returns the current attribute range to be forced to type string.
- getStringSelection() - Method in class weka.gui.arffviewer.ArffTable
-
returns the selected content in a StringSelection that can be copied to the
clipboard and used in Excel, if nothing is selected the whole table is
copied to the clipboard
- getStroke() - Method in class weka.gui.visualize.PostscriptGraphics
-
- getStructure() - Method in class weka.core.converters.AbstractLoader
-
- getStructure() - Method in class weka.core.converters.ArffLoader.ArffReader
-
Returns the header format
- getStructure() - Method in class weka.core.converters.ArffLoader
-
Determines and returns (if possible) the structure (internally the header)
of the data set as an empty set of instances.
- getStructure() - Method in class weka.core.converters.C45Loader
-
Determines and returns (if possible) the structure (internally the header)
of the data set as an empty set of instances.
- getStructure() - Method in class weka.core.converters.ConverterUtils.DataSource
-
returns the structure of the data.
- getStructure(int) - Method in class weka.core.converters.ConverterUtils.DataSource
-
returns the structure of the data, with the defined class index.
- getStructure() - Method in class weka.core.converters.CSVLoader
-
- getStructure() - Method in class weka.core.converters.DatabaseLoader
-
Determines and returns (if possible) the structure (internally the header)
of the data set as an empty set of instances.
- getStructure() - Method in class weka.core.converters.JSONLoader
-
Determines and returns (if possible) the structure (internally the
header) of the data set as an empty set of instances.
- getStructure() - Method in class weka.core.converters.LibSVMLoader
-
Determines and returns (if possible) the structure (internally the header)
of the data set as an empty set of instances.
- getStructure() - Method in interface weka.core.converters.Loader
-
Determines and returns (if possible) the structure (internally the header)
of the data set as an empty set of instances.
- getStructure() - Method in class weka.core.converters.MatlabLoader
-
Determines and returns (if possible) the structure (internally the
header) of the data set as an empty set of instances.
- getStructure() - Method in class weka.core.converters.SerializedInstancesLoader
-
Determines and returns (if possible) the structure (internally the
header) of the data set as an empty set of instances.
- getStructure() - Method in class weka.core.converters.SVMLightLoader
-
Determines and returns (if possible) the structure (internally the
header) of the data set as an empty set of instances.
- getStructure() - Method in class weka.core.converters.TextDirectoryLoader
-
Determines and returns (if possible) the structure (internally the header)
of the data set as an empty set of instances.
- getStructure() - Method in class weka.core.converters.XRFFLoader
-
Determines and returns (if possible) the structure (internally the
header) of the data set as an empty set of instances.
- getStructure(String) - Method in class weka.gui.beans.Associator
-
Get the structure of the output encapsulated in the named event.
- getStructure(String) - Method in class weka.gui.beans.ClassAssigner
-
Get the structure of the output encapsulated in the named event.
- getStructure(String) - Method in class weka.gui.beans.ClassValuePicker
-
- getStructure(String) - Method in class weka.gui.beans.CrossValidationFoldMaker
-
Get the structure of the output encapsulated in the named event.
- getStructure(String) - Method in class weka.gui.beans.FlowByExpression
-
Get the structure of the output encapsulated in the named event.
- getStructure() - Method in class weka.gui.beans.IncrementalClassifierEvent
-
Get the instances structure (may be null if this is not
a NEW_BATCH event)
- getStructure() - Method in class weka.gui.beans.InstanceEvent
-
Get the instances structure (may be null if this is not a FORMAT_AVAILABLE
event)
- getStructure(String) - Method in class weka.gui.beans.Join
-
Get the output instances structure given an input event type
- getStructure(String) - Method in class weka.gui.beans.Loader
-
Get the structure of the output encapsulated in the named event.
- getStructure(String) - Method in class weka.gui.beans.Sorter
-
Get the structure of the output encapsulated in the named event.
- getStructure(String) - Method in interface weka.gui.beans.StructureProducer
-
Get the structure of the output encapsulated in the named
event.
- getStructure(String) - Method in class weka.gui.beans.TestSetMaker
-
Get the structure of the output encapsulated in the named event.
- getStructure(String) - Method in class weka.gui.beans.TrainingSetMaker
-
Get the structure of the output encapsulated in the named event.
- getStructure(String) - Method in class weka.gui.beans.TrainTestSplitMaker
-
Get the structure of the output encapsulated in the named event.
- getSubFlow() - Method in class weka.gui.beans.MetaBean
-
- getSubjectIDVariable() - Method in class weka.core.pmml.jaxbbindings.GeneralRegressionModel
-
Gets the value of the subjectIDVariable property.
- getSubmenuTitle() - Method in interface weka.gui.MainMenuExtension
-
Returns the name of the submenu.
- getSubsequenceLength() - Method in class weka.classifiers.functions.supportVector.StringKernel
-
Returns the length of the subsequence
- getSubSpaceSize() - Method in class weka.classifiers.meta.RandomSubSpace
-
Gets the size of each subSpace, as a percentage of the training set size.
- getSubtreeRaising() - Method in class weka.classifiers.trees.J48
-
Get the value of subtreeRaising.
- getSuccess() - Method in class weka.core.CheckGOE
-
returns the success of the tests
- getSuccess() - Method in class weka.core.CheckOptionHandler
-
returns the success of the tests
- getSuitableTargets(EventSetDescriptor) - Method in class weka.gui.beans.MetaBean
-
Return a list of input beans capable of receiving the supplied event
- getSummary() - Method in class weka.gui.SetInstancesPanel
-
Gets the instances summary panel associated with this panel.
- getSumOfCounts() - Method in class weka.estimators.DiscreteEstimator
-
Get the sum of all the counts
- getSumOfSquares() - Method in class weka.core.pmml.jaxbbindings.AnovaRow
-
Gets the value of the sumOfSquares property.
- getSumOfWeights() - Method in class weka.estimators.NormalEstimator
-
Return the sum of the weights for this normal estimator.
- getSumSquaredError() - Method in class weka.core.pmml.jaxbbindings.PredictiveModelQuality
-
Gets the value of the sumSquaredError property.
- getSumSquaredRegression() - Method in class weka.core.pmml.jaxbbindings.PredictiveModelQuality
-
Gets the value of the sumSquaredRegression property.
- getSupport() - Method in class weka.core.pmml.jaxbbindings.AssociationRule
-
Gets the value of the support property.
- getSupport() - Method in class weka.core.pmml.jaxbbindings.Itemset
-
Gets the value of the support property.
- getSupport() - Method in class weka.core.pmml.jaxbbindings.Sequence
-
Gets the value of the support property.
- getSupport() - Method in class weka.core.pmml.jaxbbindings.SequenceRule
-
Gets the value of the support property.
- getSupportedCursorScrollType() - Method in class weka.experiment.DatabaseUtils
-
Returns the type of scrolling that the cursor supports, -1 if not supported
or not connected.
- getSupportVector() - Method in class weka.core.pmml.jaxbbindings.SupportVectors
-
Gets the value of the supportVector property.
- getSupportVectorMachineModel() - Method in class weka.core.pmml.jaxbbindings.Segment
-
Gets the value of the supportVectorMachineModel property.
- getSupportVectors() - Method in class weka.core.pmml.jaxbbindings.SupportVectorMachine
-
Gets the value of the supportVectors property.
- getSuppressMappingReport() - Method in class weka.classifiers.misc.InputMappedClassifier
-
Get whether to suppress output the report of model to input mappings.
- getSuppressOutput() - Method in class weka.classifiers.evaluation.output.prediction.AbstractOutput
-
Returns whether to the regular output is suppressed in case the output is
stored in a file.
- getSvmRepresentation() - Method in class weka.core.pmml.jaxbbindings.SupportVectorMachineModel
-
Gets the value of the svmRepresentation property.
- getSymbolContainer() - Method in class weka.core.expressionlanguage.parser.Parser
-
- getSymbolContainer() - Method in class weka.core.json.Parser
-
- getSystemInfo() - Method in class weka.core.SystemInfo
-
returns a copy of the system info.
- getSystemLookAndFeel() - Static method in class weka.gui.LookAndFeel
-
returns the system LnF classname
- getSystemWide() - Static method in class weka.core.Environment
-
Get the singleton system-wide (visible to every class in the running VM)
set of environment variables.
- getT1() - Method in class weka.clusterers.Canopy
-
Get the T1 distance.
- getT2() - Method in class weka.clusterers.Canopy
-
Get the T2 distance to use.
- getTabbedPane() - Method in class weka.gui.arffviewer.ArffViewerMainPanel
-
returns the tabbedpane instance
- getTabbedPane() - Method in class weka.gui.beans.KnowledgeFlowApp.MainKFPerspective
-
- getTabbedPane() - Method in class weka.gui.explorer.Explorer
-
returns the tabbed pane of the Explorer
- getTable() - Method in class weka.gui.arffviewer.ArffPanel
-
returns the table component
- getTable() - Method in class weka.gui.InteractiveTablePanel
-
Get the JTable component
- getTableCellRendererComponent(JTable, Object, boolean, boolean, int, int) - Method in class weka.gui.arffviewer.ArffTableCellRenderer
-
Returns the default table cell renderer.
- getTableCellRendererComponent(JTable, Object, boolean, boolean, int, int) - Method in class weka.gui.sql.ResultSetTableCellRenderer
-
Returns the default table cell renderer.
- getTableLocator() - Method in class weka.core.pmml.jaxbbindings.ChildParent
-
Gets the value of the tableLocator property.
- getTableLocator() - Method in class weka.core.pmml.jaxbbindings.MapValues
-
Gets the value of the tableLocator property.
- getTableLocator() - Method in class weka.core.pmml.jaxbbindings.TrainingInstances
-
Gets the value of the tableLocator property.
- getTableModel() - Method in class weka.gui.AttributeSelectionPanel
-
Get the table model in use (or null if no instances have been set yet).
- getTableName() - Method in class weka.core.converters.DatabaseSaver
-
Gets the table's name.
- getTabs() - Static method in class weka.gui.explorer.ExplorerDefaults
-
returns an array with the classnames of all the additional panels to
display as tabs in the Explorer.
- getTabTitle(int) - Method in class weka.gui.beans.KnowledgeFlowApp.MainKFPerspective
-
- getTabTitle() - Method in class weka.gui.explorer.AssociationsPanel
-
Returns the title for the tab in the Explorer
- getTabTitle() - Method in class weka.gui.explorer.AttributeSelectionPanel
-
Returns the title for the tab in the Explorer
- getTabTitle() - Method in class weka.gui.explorer.ClassifierPanel
-
Returns the title for the tab in the Explorer.
- getTabTitle() - Method in class weka.gui.explorer.ClustererPanel
-
Returns the title for the tab in the Explorer
- getTabTitle() - Method in interface weka.gui.explorer.Explorer.ExplorerPanel
-
Returns the title for the tab in the Explorer
- getTabTitle() - Method in class weka.gui.explorer.PreprocessPanel
-
Returns the title for the tab in the Explorer
- getTabTitle() - Method in class weka.gui.explorer.VisualizePanel
-
Returns the title for the tab in the Explorer
- getTabTitle(int) - Method in class weka.gui.knowledgeflow.MainKFPerspective
-
Get the title of the tab at the supplied index
- getTabTitleToolTip() - Method in class weka.gui.explorer.AssociationsPanel
-
Returns the tooltip for the tab in the Explorer
- getTabTitleToolTip() - Method in class weka.gui.explorer.AttributeSelectionPanel
-
Returns the tooltip for the tab in the Explorer
- getTabTitleToolTip() - Method in class weka.gui.explorer.ClassifierPanel
-
Returns the tooltip for the tab in the Explorer.
- getTabTitleToolTip() - Method in class weka.gui.explorer.ClustererPanel
-
Returns the tooltip for the tab in the Explorer
- getTabTitleToolTip() - Method in interface weka.gui.explorer.Explorer.ExplorerPanel
-
Returns the tooltip for the tab in the Explorer
- getTabTitleToolTip() - Method in class weka.gui.explorer.PreprocessPanel
-
Returns the tooltip for the tab in the Explorer
- getTabTitleToolTip() - Method in class weka.gui.explorer.VisualizePanel
-
Returns the tooltip for the tab in the Explorer
- getTabuList() - Method in class weka.classifiers.bayes.net.search.global.TabuSearch
-
- getTabuList() - Method in class weka.classifiers.bayes.net.search.local.TabuSearch
-
- getTags() - Method in class weka.core.SelectedTag
-
Gets the set of all valid Tags.
- getTags() - Method in class weka.gui.beans.EnvironmentField
-
Deprecated.
- getTags() - Method in class weka.gui.ColorEditor
-
Not applicable - returns null
- getTags() - Method in class weka.gui.CostMatrixEditor
-
Some objects can return tags, but a cost matrix cannot.
- getTags() - Method in class weka.gui.EnvironmentField
-
- getTags() - Method in class weka.gui.GenericArrayEditor
-
Returns null as we don't support getting values as tags.
- getTags() - Method in class weka.gui.GenericObjectEditor
-
Returns null as we don't support getting values as tags.
- getTags() - Method in class weka.gui.PasswordField
-
- getTags() - Method in class weka.gui.SelectedTagEditor
-
Gets the list of tags that can be selected from.
- getTags() - Method in class weka.gui.SimpleDateFormatEditor
-
Some objects can return tags, but a date format cannot.
- getTanimoto() - Method in class weka.core.pmml.jaxbbindings.ComparisonMeasure
-
Gets the value of the tanimoto property.
- getTarget() - Method in class weka.core.packageManagement.Dependency
-
Get the target package constraint.
- getTarget() - Method in class weka.core.pmml.jaxbbindings.Anova
-
Gets the value of the target property.
- getTarget() - Method in class weka.core.pmml.jaxbbindings.Targets
-
Gets the value of the target property.
- getTarget() - Method in class weka.gui.beans.BeanConnection
-
Returns the target BeanInstance for this connection
- getTarget() - Method in class weka.gui.treevisualizer.Edge
-
Get the value of target.
- getTargetCategory() - Method in class weka.core.pmml.jaxbbindings.MultivariateStats
-
Gets the value of the targetCategory property.
- getTargetCategory() - Method in class weka.core.pmml.jaxbbindings.PCell
-
Gets the value of the targetCategory property.
- getTargetCategory() - Method in class weka.core.pmml.jaxbbindings.PCovCell
-
Gets the value of the targetCategory property.
- getTargetCategory() - Method in class weka.core.pmml.jaxbbindings.PPCell
-
Gets the value of the targetCategory property.
- getTargetCategory() - Method in class weka.core.pmml.jaxbbindings.RegressionTable
-
Gets the value of the targetCategory property.
- getTargetCategory() - Method in class weka.core.pmml.jaxbbindings.SupportVectorMachine
-
Gets the value of the targetCategory property.
- getTargetField() - Method in class weka.core.pmml.jaxbbindings.OutputField
-
Gets the value of the targetField property.
- getTargetField() - Method in class weka.core.pmml.jaxbbindings.PredictiveModelQuality
-
Gets the value of the targetField property.
- getTargetFieldDisplayValue() - Method in class weka.core.pmml.jaxbbindings.LiftData
-
Gets the value of the targetFieldDisplayValue property.
- getTargetFieldName() - Method in class weka.core.pmml.jaxbbindings.RegressionModel
-
Gets the value of the targetFieldName property.
- getTargetFieldValue() - Method in class weka.core.pmml.jaxbbindings.LiftData
-
Gets the value of the targetFieldValue property.
- getTargetMetaData() - Method in class weka.core.pmml.MiningSchema
-
Get the Target meta data.
- getTargetReferenceCategory() - Method in class weka.core.pmml.jaxbbindings.GeneralRegressionModel
-
Gets the value of the targetReferenceCategory property.
- getTargets() - Method in class weka.core.pmml.jaxbbindings.DecisionTree
-
Gets the value of the targets property.
- getTargets() - Method in class weka.core.pmml.jaxbbindings.Regression
-
Gets the value of the targets property.
- getTargetValue() - Method in class weka.core.pmml.jaxbbindings.Target
-
Gets the value of the targetValue property.
- getTargetValueCount() - Method in class weka.core.pmml.jaxbbindings.TargetValueCounts
-
Gets the value of the targetValueCount property.
- getTargetValueCounts() - Method in class weka.core.pmml.jaxbbindings.BayesOutput
-
Gets the value of the targetValueCounts property.
- getTargetValueCounts() - Method in class weka.core.pmml.jaxbbindings.PairCounts
-
Gets the value of the targetValueCounts property.
- getTargetVariableName() - Method in class weka.core.pmml.jaxbbindings.GeneralRegressionModel
-
Gets the value of the targetVariableName property.
- getTaskResult() - Method in class weka.experiment.TaskStatusInfo
-
Get the returnable result of this task.
- getTaskStatus() - Method in class weka.experiment.RemoteExperimentSubTask
-
- getTaskStatus() - Method in interface weka.experiment.Task
-
Clients should be able to call this method at any time to obtain
information on a current task.
- getTaskStatus() - Method in class weka.gui.boundaryvisualizer.RemoteBoundaryVisualizerSubTask
-
Return status information for this sub task
- getTaxonomy() - Method in class weka.core.pmml.jaxbbindings.DataDictionary
-
Gets the value of the taxonomy property.
- getTaxonomy() - Method in class weka.core.pmml.jaxbbindings.DataField
-
Gets the value of the taxonomy property.
- getTaxonomy() - Method in class weka.core.pmml.jaxbbindings.TextDictionary
-
Gets the value of the taxonomy property.
- getTCol() - Method in class weka.core.pmml.jaxbbindings.PCovCell
-
Gets the value of the tCol property.
- getTechnicalInformation() - Method in class weka.associations.Apriori
-
Returns an instance of a TechnicalInformation object, containing detailed
information about the technical background of this class, e.g., paper
reference or book this class is based on.
- getTechnicalInformation() - Method in class weka.associations.FPGrowth
-
Returns an instance of a TechnicalInformation object, containing detailed
information about the technical background of this class, e.g., paper
reference or book this class is based on.
- getTechnicalInformation() - Method in class weka.attributeSelection.CfsSubsetEval
-
Returns an instance of a TechnicalInformation object, containing detailed
information about the technical background of this class, e.g., paper
reference or book this class is based on.
- getTechnicalInformation() - Method in class weka.attributeSelection.ReliefFAttributeEval
-
Returns an instance of a TechnicalInformation object, containing detailed
information about the technical background of this class, e.g., paper
reference or book this class is based on.
- getTechnicalInformation() - Method in class weka.attributeSelection.WrapperSubsetEval
-
Returns an instance of a TechnicalInformation object, containing detailed
information about the technical background of this class, e.g., paper
reference or book this class is based on.
- getTechnicalInformation() - Method in class weka.classifiers.bayes.NaiveBayes
-
Returns an instance of a TechnicalInformation object, containing detailed
information about the technical background of this class, e.g., paper
reference or book this class is based on.
- getTechnicalInformation() - Method in class weka.classifiers.bayes.NaiveBayesMultinomial
-
Returns an instance of a TechnicalInformation object, containing
detailed information about the technical background of this class,
e.g., paper reference or book this class is based on.
- getTechnicalInformation() - Method in class weka.classifiers.bayes.NaiveBayesUpdateable
-
Returns an instance of a TechnicalInformation object, containing
detailed information about the technical background of this class,
e.g., paper reference or book this class is based on.
- getTechnicalInformation() - Method in class weka.classifiers.bayes.net.ADNode
-
Returns an instance of a TechnicalInformation object, containing detailed
information about the technical background of this class, e.g., paper
reference or book this class is based on.
- getTechnicalInformation() - Method in class weka.classifiers.bayes.net.BIFReader
-
Returns an instance of a TechnicalInformation object, containing detailed
information about the technical background of this class, e.g., paper
reference or book this class is based on.
- getTechnicalInformation() - Method in class weka.classifiers.bayes.net.search.global.K2
-
Returns an instance of a TechnicalInformation object, containing detailed
information about the technical background of this class, e.g., paper
reference or book this class is based on.
- getTechnicalInformation() - Method in class weka.classifiers.bayes.net.search.global.SimulatedAnnealing
-
Returns an instance of a TechnicalInformation object, containing detailed
information about the technical background of this class, e.g., paper
reference or book this class is based on.
- getTechnicalInformation() - Method in class weka.classifiers.bayes.net.search.global.TabuSearch
-
Returns an instance of a TechnicalInformation object, containing detailed
information about the technical background of this class, e.g., paper
reference or book this class is based on.
- getTechnicalInformation() - Method in class weka.classifiers.bayes.net.search.global.TAN
-
Returns an instance of a TechnicalInformation object, containing detailed
information about the technical background of this class, e.g., paper
reference or book this class is based on.
- getTechnicalInformation() - Method in class weka.classifiers.bayes.net.search.local.K2
-
Returns an instance of a TechnicalInformation object, containing detailed
information about the technical background of this class, e.g., paper
reference or book this class is based on.
- getTechnicalInformation() - Method in class weka.classifiers.bayes.net.search.local.SimulatedAnnealing
-
Returns an instance of a TechnicalInformation object, containing detailed
information about the technical background of this class, e.g., paper
reference or book this class is based on.
- getTechnicalInformation() - Method in class weka.classifiers.bayes.net.search.local.TabuSearch
-
Returns an instance of a TechnicalInformation object, containing detailed
information about the technical background of this class, e.g., paper
reference or book this class is based on.
- getTechnicalInformation() - Method in class weka.classifiers.bayes.net.search.local.TAN
-
Returns an instance of a TechnicalInformation object, containing detailed
information about the technical background of this class, e.g., paper
reference or book this class is based on.
- getTechnicalInformation() - Method in class weka.classifiers.BVDecompose
-
Returns an instance of a TechnicalInformation object, containing
detailed information about the technical background of this class,
e.g., paper reference or book this class is based on.
- getTechnicalInformation() - Method in class weka.classifiers.BVDecomposeSegCVSub
-
Returns an instance of a TechnicalInformation object, containing
detailed information about the technical background of this class,
e.g., paper reference or book this class is based on.
- getTechnicalInformation() - Method in class weka.classifiers.functions.GaussianProcesses
-
Returns an instance of a TechnicalInformation object, containing detailed
information about the technical background of this class, e.g., paper
reference or book this class is based on.
- getTechnicalInformation() - Method in class weka.classifiers.functions.Logistic
-
Returns an instance of a TechnicalInformation object, containing detailed
information about the technical background of this class, e.g., paper
reference or book this class is based on.
- getTechnicalInformation() - Method in class weka.classifiers.functions.SimpleLogistic
-
Returns an instance of a TechnicalInformation object, containing detailed
information about the technical background of this class, e.g., paper
reference or book this class is based on.
- getTechnicalInformation() - Method in class weka.classifiers.functions.SMO
-
Returns an instance of a TechnicalInformation object, containing
detailed information about the technical background of this class,
e.g., paper reference or book this class is based on.
- getTechnicalInformation() - Method in class weka.classifiers.functions.SMOreg
-
Returns an instance of a TechnicalInformation object, containing
detailed information about the technical background of this class,
e.g., paper reference or book this class is based on.
- getTechnicalInformation() - Method in class weka.classifiers.functions.supportVector.Puk
-
Returns an instance of a TechnicalInformation object, containing detailed
information about the technical background of this class, e.g., paper
reference or book this class is based on.
- getTechnicalInformation() - Method in class weka.classifiers.functions.supportVector.RegSMO
-
Returns an instance of a TechnicalInformation object, containing detailed
information about the technical background of this class, e.g., paper
reference or book this class is based on.
- getTechnicalInformation() - Method in class weka.classifiers.functions.supportVector.RegSMOImproved
-
Returns an instance of a TechnicalInformation object, containing detailed
information about the technical background of this class, e.g., paper
reference or book this class is based on.
- getTechnicalInformation() - Method in class weka.classifiers.functions.supportVector.StringKernel
-
Returns an instance of a TechnicalInformation object, containing detailed
information about the technical background of this class, e.g., paper
reference or book this class is based on.
- getTechnicalInformation() - Method in class weka.classifiers.functions.VotedPerceptron
-
Returns an instance of a TechnicalInformation object, containing
detailed information about the technical background of this class,
e.g., paper reference or book this class is based on.
- getTechnicalInformation() - Method in class weka.classifiers.lazy.IBk
-
Returns an instance of a TechnicalInformation object, containing
detailed information about the technical background of this class,
e.g., paper reference or book this class is based on.
- getTechnicalInformation() - Method in class weka.classifiers.lazy.KStar
-
Returns an instance of a TechnicalInformation object, containing
detailed information about the technical background of this class,
e.g., paper reference or book this class is based on.
- getTechnicalInformation() - Method in class weka.classifiers.lazy.LWL
-
Returns an instance of a TechnicalInformation object, containing
detailed information about the technical background of this class,
e.g., paper reference or book this class is based on.
- getTechnicalInformation() - Method in class weka.classifiers.meta.AdaBoostM1
-
Returns an instance of a TechnicalInformation object, containing detailed
information about the technical background of this class, e.g., paper
reference or book this class is based on.
- getTechnicalInformation() - Method in class weka.classifiers.meta.AdditiveRegression
-
Returns an instance of a TechnicalInformation object, containing
detailed information about the technical background of this class,
e.g., paper reference or book this class is based on.
- getTechnicalInformation() - Method in class weka.classifiers.meta.Bagging
-
Returns an instance of a TechnicalInformation object, containing
detailed information about the technical background of this class,
e.g., paper reference or book this class is based on.
- getTechnicalInformation() - Method in class weka.classifiers.meta.ClassificationViaRegression
-
Returns an instance of a TechnicalInformation object, containing
detailed information about the technical background of this class,
e.g., paper reference or book this class is based on.
- getTechnicalInformation() - Method in class weka.classifiers.meta.CVParameterSelection
-
Returns an instance of a TechnicalInformation object, containing
detailed information about the technical background of this class,
e.g., paper reference or book this class is based on.
- getTechnicalInformation() - Method in class weka.classifiers.meta.LogitBoost
-
Returns an instance of a TechnicalInformation object, containing detailed
information about the technical background of this class, e.g., paper
reference or book this class is based on.
- getTechnicalInformation() - Method in class weka.classifiers.meta.RandomSubSpace
-
Returns an instance of a TechnicalInformation object, containing
detailed information about the technical background of this class,
e.g., paper reference or book this class is based on.
- getTechnicalInformation() - Method in class weka.classifiers.meta.RegressionByDiscretization
-
Returns an instance of a TechnicalInformation object, containing
detailed information about the technical background of this class,
e.g., paper reference or book this class is based on.
- getTechnicalInformation() - Method in class weka.classifiers.meta.Stacking
-
Returns an instance of a TechnicalInformation object, containing
detailed information about the technical background of this class,
e.g., paper reference or book this class is based on.
- getTechnicalInformation() - Method in class weka.classifiers.meta.Vote
-
Returns an instance of a TechnicalInformation object, containing detailed
information about the technical background of this class, e.g., paper
reference or book this class is based on.
- getTechnicalInformation() - Method in class weka.classifiers.rules.DecisionTable
-
Returns an instance of a TechnicalInformation object, containing detailed
information about the technical background of this class, e.g., paper
reference or book this class is based on.
- getTechnicalInformation() - Method in class weka.classifiers.rules.JRip
-
Returns an instance of a TechnicalInformation object, containing detailed
information about the technical background of this class, e.g., paper
reference or book this class is based on.
- getTechnicalInformation() - Method in class weka.classifiers.rules.M5Rules
-
Returns an instance of a TechnicalInformation object, containing
detailed information about the technical background of this class,
e.g., paper reference or book this class is based on.
- getTechnicalInformation() - Method in class weka.classifiers.rules.OneR
-
Returns an instance of a TechnicalInformation object, containing detailed
information about the technical background of this class, e.g., paper
reference or book this class is based on.
- getTechnicalInformation() - Method in class weka.classifiers.rules.PART
-
Returns an instance of a TechnicalInformation object, containing detailed
information about the technical background of this class, e.g., paper
reference or book this class is based on.
- getTechnicalInformation() - Method in class weka.classifiers.trees.HoeffdingTree
-
Returns an instance of a TechnicalInformation object, containing detailed
information about the technical background of this class, e.g., paper
reference or book this class is based on.
- getTechnicalInformation() - Method in class weka.classifiers.trees.J48
-
Returns an instance of a TechnicalInformation object, containing detailed
information about the technical background of this class, e.g., paper
reference or book this class is based on.
- getTechnicalInformation() - Method in class weka.classifiers.trees.LMT
-
Returns an instance of a TechnicalInformation object, containing detailed
information about the technical background of this class, e.g., paper
reference or book this class is based on.
- getTechnicalInformation() - Method in class weka.classifiers.trees.m5.M5Base
-
Returns an instance of a TechnicalInformation object, containing detailed
information about the technical background of this class, e.g., paper
reference or book this class is based on.
- getTechnicalInformation() - Method in class weka.classifiers.trees.RandomForest
-
Returns an instance of a TechnicalInformation object, containing detailed
information about the technical background of this class, e.g., paper
reference or book this class is based on.
- getTechnicalInformation() - Method in class weka.clusterers.Canopy
-
- getTechnicalInformation() - Method in class weka.clusterers.Cobweb
-
Returns an instance of a TechnicalInformation object, containing detailed
information about the technical background of this class, e.g., paper
reference or book this class is based on.
- getTechnicalInformation() - Method in class weka.clusterers.FarthestFirst
-
Returns an instance of a TechnicalInformation object, containing detailed
information about the technical background of this class, e.g., paper
reference or book this class is based on.
- getTechnicalInformation() - Method in class weka.clusterers.SimpleKMeans
-
- getTechnicalInformation() - Method in class weka.core.ChebyshevDistance
-
Returns an instance of a TechnicalInformation object, containing
detailed information about the technical background of this class,
e.g., paper reference or book this class is based on.
- getTechnicalInformation() - Method in class weka.core.ConjugateGradientOptimization
-
Returns an instance of a TechnicalInformation object, containing detailed
information about the technical background of this class, e.g., paper
reference or book this class is based on.
- getTechnicalInformation() - Method in class weka.core.EuclideanDistance
-
Returns an instance of a TechnicalInformation object, containing
detailed information about the technical background of this class,
e.g., paper reference or book this class is based on.
- getTechnicalInformation() - Method in class weka.core.ManhattanDistance
-
Returns an instance of a TechnicalInformation object, containing
detailed information about the technical background of this class,
e.g., paper reference or book this class is based on.
- getTechnicalInformation() - Method in class weka.core.MinkowskiDistance
-
Returns an instance of a TechnicalInformation object, containing detailed
information about the technical background of this class, e.g., paper
reference or book this class is based on.
- getTechnicalInformation() - Method in class weka.core.neighboursearch.BallTree
-
Returns an instance of a TechnicalInformation object, containing detailed
information about the technical background of this class, e.g., paper
reference or book this class is based on.
- getTechnicalInformation() - Method in class weka.core.neighboursearch.balltrees.BottomUpConstructor
-
Returns an instance of a TechnicalInformation object, containing detailed
information about the technical background of this class, e.g., paper
reference or book this class is based on.
- getTechnicalInformation() - Method in class weka.core.neighboursearch.balltrees.MedianDistanceFromArbitraryPoint
-
Returns an instance of a TechnicalInformation object, containing detailed
information about the technical background of this class, e.g., paper
reference or book this class is based on.
- getTechnicalInformation() - Method in class weka.core.neighboursearch.balltrees.MedianOfWidestDimension
-
Returns an instance of a TechnicalInformation object, containing detailed
information about the technical background of this class, e.g., paper
reference or book this class is based on.
- getTechnicalInformation() - Method in class weka.core.neighboursearch.balltrees.MiddleOutConstructor
-
Returns an instance of a TechnicalInformation object, containing detailed
information about the technical background of this class, e.g., paper
reference or book this class is based on.
- getTechnicalInformation() - Method in class weka.core.neighboursearch.balltrees.PointsClosestToFurthestChildren
-
Returns an instance of a TechnicalInformation object, containing detailed
information about the technical background of this class, e.g., paper
reference or book this class is based on.
- getTechnicalInformation() - Method in class weka.core.neighboursearch.balltrees.TopDownConstructor
-
Returns an instance of a TechnicalInformation object, containing detailed
information about the technical background of this class, e.g., paper
reference or book this class is based on.
- getTechnicalInformation() - Method in class weka.core.neighboursearch.CoverTree
-
Returns an instance of a TechnicalInformation object, containing detailed
information about the technical background of this class, e.g., paper
reference or book this class is based on.
- getTechnicalInformation() - Method in class weka.core.neighboursearch.KDTree
-
Returns an instance of a TechnicalInformation object, containing detailed
information about the technical background of this class, e.g., paper
reference or book this class is based on.
- getTechnicalInformation() - Method in class weka.core.neighboursearch.kdtrees.KMeansInpiredMethod
-
Returns an instance of a TechnicalInformation object, containing detailed
information about the technical background of this class, e.g., paper
reference or book this class is based on.
- getTechnicalInformation() - Method in class weka.core.neighboursearch.kdtrees.MedianOfWidestDimension
-
Returns an instance of a TechnicalInformation object, containing detailed
information about the technical background of this class, e.g., paper
reference or book this class is based on.
- getTechnicalInformation() - Method in class weka.core.neighboursearch.kdtrees.MidPointOfWidestDimension
-
Returns an instance of a TechnicalInformation object, containing detailed
information about the technical background of this class, e.g., paper
reference or book this class is based on.
- getTechnicalInformation() - Method in class weka.core.neighboursearch.kdtrees.SlidingMidPointOfWidestSide
-
Returns an instance of a TechnicalInformation object, containing detailed
information about the technical background of this class, e.g., paper
reference or book this class is based on.
- getTechnicalInformation() - Method in class weka.core.Optimization
-
Returns an instance of a TechnicalInformation object, containing detailed
information about the technical background of this class, e.g., paper
reference or book this class is based on.
- getTechnicalInformation() - Method in class weka.core.stemmers.LovinsStemmer
-
Returns an instance of a TechnicalInformation object, containing
detailed information about the technical background of this class,
e.g., paper reference or book this class is based on.
- getTechnicalInformation() - Method in interface weka.core.TechnicalInformationHandler
-
Returns an instance of a TechnicalInformation object, containing
detailed information about the technical background of this class,
e.g., paper reference or book this class is based on.
- getTechnicalInformation() - Method in class weka.datagenerators.classifiers.classification.Agrawal
-
Returns an instance of a TechnicalInformation object, containing detailed
information about the technical background of this class, e.g., paper
reference or book this class is based on.
- getTechnicalInformation() - Method in class weka.datagenerators.classifiers.classification.LED24
-
Returns an instance of a TechnicalInformation object, containing detailed
information about the technical background of this class, e.g., paper
reference or book this class is based on.
- getTechnicalInformation() - Method in class weka.datagenerators.clusterers.BIRCHCluster
-
Returns an instance of a TechnicalInformation object, containing detailed
information about the technical background of this class, e.g., paper
reference or book this class is based on.
- getTechnicalInformation() - Method in class weka.experiment.PairedCorrectedTTester
-
Returns an instance of a TechnicalInformation object, containing detailed
information about the technical background of this class, e.g., paper
reference or book this class is based on.
- getTechnicalInformation() - Method in class weka.filters.supervised.attribute.Discretize
-
Returns an instance of a TechnicalInformation object, containing detailed
information about the technical background of this class, e.g., paper
reference or book this class is based on.
- getTechnicalInformation() - Method in class weka.filters.supervised.attribute.MergeNominalValues
-
Returns an instance of a TechnicalInformation object, containing detailed
information about the technical background of this class, e.g., paper
reference or book this class is based on.
- getTechnicalInformation() - Method in class weka.filters.supervised.attribute.NominalToBinary
-
Returns an instance of a TechnicalInformation object, containing detailed
information about the technical background of this class, e.g., paper
reference or book this class is based on.
- getTechnicalInformation() - Method in class weka.filters.supervised.attribute.PartitionMembership
-
Returns an instance of a TechnicalInformation object, containing detailed
information about the technical background of this class, e.g., paper
reference or book this class is based on.
- getTechnicalInformation() - Method in class weka.filters.unsupervised.attribute.KernelFilter
-
Returns an instance of a TechnicalInformation object, containing detailed
information about the technical background of this class, e.g., paper
reference or book this class is based on.
- getTechnicalInformation() - Method in class weka.filters.unsupervised.attribute.PKIDiscretize
-
Returns an instance of a TechnicalInformation object, containing detailed
information about the technical background of this class, e.g., paper
reference or book this class is based on.
- getTechnicalInformation() - Method in class weka.filters.unsupervised.attribute.RandomProjection
-
Returns an instance of a TechnicalInformation object, containing detailed
information about the technical background of this class, e.g., paper
reference or book this class is based on.
- getTechnicalInformation() - Method in class weka.gui.boundaryvisualizer.BoundaryVisualizer
-
Returns an instance of a TechnicalInformation object, containing detailed
information about the technical background of this class, e.g., paper
reference or book this class is based on.
- getTempDir() - Static method in class weka.core.Debug
-
returns the system temp directory
- getTempDirectory() - Method in class weka.gui.beans.Sorter
-
Get the directory to use for temporary files during incremental operation
- getTempDirectory() - Method in class weka.knowledgeflow.steps.Sorter
-
Get the directory to use for temporary files during incremental operation
- getTemplateFlow(String) - Method in class weka.gui.knowledgeflow.TemplateManager
-
Get the flow for the supplied description
- getTemplateManager() - Method in class weka.gui.knowledgeflow.MainKFPerspective
-
Get the template manager
- getTester() - Static method in class weka.gui.experiment.ExperimenterDefaults
-
returns the display name of the preferred Tester algorithm.
- getTestEvaluator() - Method in class weka.attributeSelection.CheckAttributeSelection
-
Gets whether the evaluator is being tested or the search method.
- getTestOrTrain() - Method in class weka.gui.beans.BatchClustererEvent
-
Get whether the set of instances is a test or a training set
- getTestPredictions(Classifier, Instances) - Method in class weka.classifiers.evaluation.EvaluationUtils
-
Generate a bunch of predictions ready for processing, by performing a
evaluation on a test set assuming the classifier is already trained.
- getTestSet() - Method in class weka.gui.beans.BatchClassifierEvent
-
Get the test set
- getTestSet() - Method in class weka.gui.beans.BatchClustererEvent
-
Get the training/test set
- getTestSet() - Method in class weka.gui.beans.TestSetEvent
-
Get the test set instances
- getTestsetDir() - Method in class weka.experiment.ExplicitTestsetResultProducer
-
Returns the currently set directory for the test sets.
- getTestsetPrefix() - Method in class weka.experiment.ExplicitTestsetResultProducer
-
Returns the currently set prefix.
- getTestsetSuffix() - Method in class weka.experiment.ExplicitTestsetResultProducer
-
Returns the currently set suffix.
- getTestStatistic() - Method in class weka.core.pmml.jaxbbindings.TestDistributions
-
Gets the value of the testStatistic property.
- getText() - Method in class weka.gui.beans.BeanVisual
-
Get the visual's label
- getText() - Method in class weka.gui.beans.EnvironmentField
-
Deprecated.
Return the text from the combo box.
- getText() - Method in class weka.gui.beans.TextEvent
-
Describe getText
method here.
- getText() - Method in class weka.gui.EnvironmentField
-
Return the text from the combo box.
- getText() - Method in class weka.gui.PasswordField
-
- getTextDocument() - Method in class weka.core.pmml.jaxbbindings.TextCorpus
-
Gets the value of the textDocument property.
- getTextModel() - Method in class weka.core.pmml.jaxbbindings.Segment
-
Gets the value of the textModel property.
- getTextTitle() - Method in class weka.gui.beans.TextEvent
-
Describe getTextTitle
method here.
- getTFTransform() - Method in class weka.core.DictionaryBuilder
-
Gets whether if the word frequencies should be transformed into log(1+fij)
where fij is the frequency of word i in document(instance) j.
- getTFTransform() - Method in class weka.filters.unsupervised.attribute.FixedDictionaryStringToWordVector
-
Gets whether if the word frequencies should be transformed into log(1+fij)
where fij is the frequency of word i in document(instance) j.
- getTFTransform() - Method in class weka.filters.unsupervised.attribute.StringToWordVector
-
Gets whether if the word frequencies should be transformed into log(1+fij)
where fij is the frequency of word i in document(instance) j.
- getThreshold() - Method in class weka.attributeSelection.ClassifierAttributeEval
-
Get the value of the threshold
- getThreshold() - Method in class weka.attributeSelection.GreedyStepwise
-
Returns the threshold so that the AttributeSelection module can discard
attributes from the ranking.
- getThreshold() - Method in interface weka.attributeSelection.RankedOutputSearch
-
Gets the threshold by which attributes can be discarded.
- getThreshold() - Method in class weka.attributeSelection.Ranker
-
Returns the threshold so that the AttributeSelection module can discard
attributes from the ranking.
- getThreshold() - Method in class weka.attributeSelection.WrapperSubsetEval
-
Get the value of the threshold
- getThreshold() - Method in class weka.core.pmml.jaxbbindings.NaiveBayesModel
-
Gets the value of the threshold property.
- getThreshold() - Method in class weka.core.pmml.jaxbbindings.NearestNeighborModel
-
Gets the value of the threshold property.
- getThreshold() - Method in class weka.core.pmml.jaxbbindings.NeuralLayer
-
Gets the value of the threshold property.
- getThreshold() - Method in class weka.core.pmml.jaxbbindings.NeuralNetwork
-
Gets the value of the threshold property.
- getThreshold() - Method in class weka.core.pmml.jaxbbindings.SupportVectorMachine
-
Gets the value of the threshold property.
- getThreshold() - Method in class weka.core.pmml.jaxbbindings.SupportVectorMachineModel
-
Gets the value of the threshold property.
- getThreshold() - Method in class weka.filters.unsupervised.instance.RemoveMisclassified
-
Gets the threshold for the max error when predicting a numeric class.
- getThresholdInstance(Instances, double) - Static method in class weka.classifiers.evaluation.ThresholdCurve
-
Gets the index of the instance with the closest threshold value to the
desired target
- getThresholds() - Method in interface weka.classifiers.evaluation.ThresholdProducingMetric
-
Returns the threshold values, one for each class value, associated with the value
of the measure that is returned.
- getTime() - Method in class weka.core.pmml.jaxbbindings.AntecedentSequence
-
Gets the value of the time property.
- getTime() - Method in class weka.core.pmml.jaxbbindings.BaselineCell
-
Gets the value of the time property.
- getTime() - Method in class weka.core.pmml.jaxbbindings.ConsequentSequence
-
Gets the value of the time property.
- getTime() - Method in class weka.core.pmml.jaxbbindings.Sequence
-
Gets the value of the time property.
- getTime() - Method in class weka.core.pmml.jaxbbindings.TimeValue
-
Gets the value of the time property.
- getTimeAnchor() - Method in class weka.core.pmml.jaxbbindings.TimeSeries
-
Gets the value of the timeAnchor property.
- getTimeCycle() - Method in class weka.core.pmml.jaxbbindings.TimeAnchor
-
Gets the value of the timeCycle property.
- getTimeException() - Method in class weka.core.pmml.jaxbbindings.TimeAnchor
-
Gets the value of the timeException property.
- getTimeSeriesModel() - Method in class weka.core.pmml.jaxbbindings.Segment
-
Gets the value of the timeSeriesModel property.
- getTimestamp() - Method in class weka.core.pmml.jaxbbindings.Header
-
Gets the value of the timestamp property.
- getTimestamp() - Method in class weka.core.pmml.jaxbbindings.TimeValue
-
Gets the value of the timestamp property.
- getTimestamp() - Static method in class weka.experiment.CrossValidationResultProducer
-
Gets a Double representing the current date and time.
- getTimestamp() - Static method in class weka.experiment.ExplicitTestsetResultProducer
-
Gets a Double representing the current date and time.
- getTimestamp() - Static method in class weka.experiment.RandomSplitResultProducer
-
Gets a Double representing the current date and time.
- getTimeValue() - Method in class weka.core.pmml.jaxbbindings.ExponentialSmoothing
-
Gets the value of the timeValue property.
- getTimeValue() - Method in class weka.core.pmml.jaxbbindings.TimeSeries
-
Gets the value of the timeValue property.
- getTitle() - Method in class weka.gui.arffviewer.ArffPanel
-
returns the title for the Tab, i.e.
- getTitle() - Method in class weka.gui.scripting.FileScriptingPanel
-
Returns the current title for the frame/dialog.
- getTitle() - Method in class weka.gui.scripting.ScriptingPanel
-
Returns the current title for the frame/dialog.
- getTitle() - Method in class weka.gui.SimpleCLIPanel
-
Returns the current title for the frame/dialog.
- getToken(StreamTokenizer) - Static method in class weka.core.converters.ConverterUtils
-
Gets token.
- getToken(StreamTokenizer) - Static method in class weka.core.converters.StreamTokenizerUtils
-
Gets token.
- getTokenizer() - Method in class weka.classifiers.bayes.NaiveBayesMultinomialText
-
Returns the current tokenizer algorithm.
- getTokenizer() - Method in class weka.classifiers.functions.SGDText
-
Returns the current tokenizer algorithm.
- getTokenizer() - Method in class weka.core.converters.DictionarySaver
-
Returns the current tokenizer algorithm.
- getTokenizer() - Method in class weka.core.DictionaryBuilder
-
Returns the current tokenizer algorithm.
- getTokenizer() - Method in class weka.filters.unsupervised.attribute.FixedDictionaryStringToWordVector
-
Returns the current tokenizer algorithm.
- getTokenizer() - Method in class weka.filters.unsupervised.attribute.StringToWordVector
-
Returns the current tokenizer algorithm.
- getTolerance() - Method in class weka.classifiers.functions.supportVector.RegSMOImproved
-
returns the current tolerance
- getToleranceParameter() - Method in class weka.classifiers.functions.SMO
-
Get the value of tolerance parameter.
- getToolTip() - Method in class weka.core.Settings.SettingKey
-
Get the tool tip text for this setting
- getToolTipLocation(MouseEvent) - Method in class weka.gui.ETable
-
Places tool tips over the cell they correspond to.
- getToolTipText() - Method in class weka.experiment.PairedCorrectedTTester
-
returns a string that is displayed as tooltip on the "perform test" button
in the experimenter
- getToolTipText() - Method in class weka.experiment.PairedTTester
-
returns a string that is displayed as tooltip on the "perform test" button
in the experimenter
- getToolTipText() - Method in interface weka.experiment.Tester
-
returns a string that is displayed as tooltip on the "perform test"
button in the experimenter
- getToolTipText(MouseEvent) - Method in class weka.gui.AttributeVisualizationPanel
-
Returns "<nominal value> [<nominal value count>]" if displaying
a bar plot and mouse is on some bar.
- getToolTipText() - Method in class weka.gui.GenericObjectEditor.GOETreeNode
-
Get the tool tip for this node
- getToolTipText(MouseEvent) - Method in class weka.gui.knowledgeflow.StepTree
-
Get tool tip text for the step closest to the mouse location in the
StepTree
.
- getToolTipText() - Method in class weka.gui.knowledgeflow.StepTreeLeafDetails
-
Get the tool tip for this leaf
- getToolTipText(PrintableComponent) - Static method in class weka.gui.visualize.PrintableComponent
-
Returns a tooltip only if the user wants it.
- getTop() - Method in class weka.gui.treevisualizer.Node
-
Get the value of top.
- getTotalCoordsPerPoint() - Method in class weka.core.neighboursearch.PerformanceStats
-
Returns the total sum of coords per point.
- getTotalCount(Node, int) - Static method in class weka.gui.treevisualizer.Node
-
Recursively finds the total number of nodes there are.
- getTotalFreq() - Method in class weka.core.pmml.jaxbbindings.Counts
-
Gets the value of the totalFreq property.
- getTotalGCount(Node, int) - Static method in class weka.gui.treevisualizer.Node
-
Recursively finds the total number of groups of siblings there are.
- getTotalHeight(Node, int) - Static method in class weka.gui.treevisualizer.Node
-
Recursively finds the total number of levels there are.
- getTotalIntNodesVisited() - Method in class weka.core.neighboursearch.TreePerformanceStats
-
Returns the total number of internal nodes visited.
- getTotalLeavesVisited() - Method in class weka.core.neighboursearch.TreePerformanceStats
-
Returns the total number of leaves visited.
- getTotalPointsVisited() - Method in class weka.core.neighboursearch.PerformanceStats
-
Returns the total number of points visited.
- getTotalSquaresSum() - Method in class weka.core.pmml.jaxbbindings.ContStats
-
Gets the value of the totalSquaresSum property.
- getTotalSupport() - Method in class weka.associations.AssociationRule
-
Get the total support for this rule (premise + consequence).
- getTotalSupport() - Method in class weka.associations.DefaultAssociationRule
-
- getTotalTransactions() - Method in class weka.associations.AssociationRule
-
Get the total number of transactions in the data.
- getTotalTransactions() - Method in class weka.associations.DefaultAssociationRule
-
- getTotalTransactions() - Method in class weka.associations.ItemSet
-
Get the total number of transactions
- getTotalValuesSum() - Method in class weka.core.pmml.jaxbbindings.ContStats
-
Gets the value of the totalValuesSum property.
- getToYear() - Static method in class weka.core.Copyright
-
returns the end year of the copyright (i.e., current year)
- getTrainingData() - Method in class weka.classifiers.trees.j48.ClassifierTree
-
- getTrainingSet() - Method in class weka.gui.beans.TrainingSetEvent
-
Get the training instances
- getTrainingTime() - Method in class weka.classifiers.functions.MultilayerPerceptron
-
- getTrainIterations() - Method in class weka.classifiers.BVDecompose
-
Gets the maximum number of boost iterations
- getTrainPercent() - Method in class weka.experiment.RandomSplitResultProducer
-
Get the value of TrainPercent.
- getTrainPercent() - Method in class weka.gui.beans.TrainTestSplitMaker
-
Get the percentage of the data that will be in the training portion of the
split
- getTrainPercent() - Method in class weka.knowledgeflow.steps.TrainTestSplitMaker
-
Get the training percentage
- getTrainPercentage() - Static method in class weka.gui.experiment.ExperimenterDefaults
-
returns the training percentage in case of splits.
- getTrainPoolSize() - Method in class weka.classifiers.BVDecompose
-
Get the number of instances in the training pool.
- getTrainSet() - Method in class weka.gui.beans.BatchClassifierEvent
-
Get the train set
- getTrainSize() - Method in class weka.classifiers.BVDecomposeSegCVSub
-
Get the training size
- getTrainTestPredictions(Classifier, Instances, Instances) - Method in class weka.classifiers.evaluation.EvaluationUtils
-
Generate a bunch of predictions ready for processing, by performing a
evaluation on a test set after training on the given training set.
- getTransactionsMustContain() - Method in class weka.associations.FPGrowth
-
Gets the comma separated list of items that transactions must contain in
order to be considered for large item sets and rules.
- getTransform() - Method in class weka.gui.visualize.PostscriptGraphics
-
- getTransformAllValues() - Method in class weka.filters.supervised.attribute.NominalToBinary
-
Gets if all nominal values are turned into new attributes, not only if
there are more than 2.
- getTransformAllValues() - Method in class weka.filters.unsupervised.attribute.NominalToBinary
-
Gets if all nominal values are turned into new attributes, not only if
there are more than 2.
- getTransformation() - Method in class weka.core.pmml.jaxbbindings.ExponentialSmoothing
-
Gets the value of the transformation property.
- getTransformationDictionary() - Method in class weka.core.pmml.jaxbbindings.PMML
-
Gets the value of the transformationDictionary property.
- getTransformationDictionary() - Method in class weka.core.pmml.MiningSchema
-
Get the transformation dictionary .
- getTransformBackToOriginal() - Method in class weka.attributeSelection.PrincipalComponents
-
Gets whether the data is to be transformed back to the original space.
- getTranslation() - Method in class weka.filters.unsupervised.attribute.Normalize
-
Get the translation.
- getTreatMissingValuesAsZero() - Method in class weka.filters.unsupervised.instance.NonSparseToSparse
-
Get whether missing values are to be treated in the same way as zeros
- getTreatXValFoldsSeparately() - Method in class weka.knowledgeflow.steps.ASEvaluator
-
Get whether to output separate results for each fold of a cross-validation,
rather than averaging over folds.
- getTreatZeroAsMissing() - Method in class weka.associations.Apriori
-
Gets whether zeros (i.e.
- getTreeModel() - Method in class weka.core.pmml.jaxbbindings.Segment
-
Gets the value of the treeModel property.
- getTreeRoot() - Method in class weka.clusterers.Cobweb
-
Get the root of the tree.
- getTrend() - Method in class weka.core.pmml.jaxbbindings.TrendExpoSmooth
-
Gets the value of the trend property.
- getTrendExpoSmooth() - Method in class weka.core.pmml.jaxbbindings.ExponentialSmoothing
-
Gets the value of the trendExpoSmooth property.
- getTrialsValue() - Method in class weka.core.pmml.jaxbbindings.GeneralRegressionModel
-
Gets the value of the trialsValue property.
- getTrialsVariable() - Method in class weka.core.pmml.jaxbbindings.GeneralRegressionModel
-
Gets the value of the trialsVariable property.
- getTrim() - Method in class weka.classifiers.misc.InputMappedClassifier
-
Get whether to trim white space from each end of names before matching.
- getTRow() - Method in class weka.core.pmml.jaxbbindings.PCovCell
-
Gets the value of the tRow property.
- getTrue() - Method in class weka.core.pmml.jaxbbindings.Attribute
-
Gets the value of the true property.
- getTrue() - Method in class weka.core.pmml.jaxbbindings.CompoundRule
-
Gets the value of the true property.
- getTrue() - Method in class weka.core.pmml.jaxbbindings.Segment
-
Gets the value of the true property.
- getTrue() - Method in class weka.core.pmml.jaxbbindings.SimpleRule
-
Gets the value of the true property.
- getTrueNegative() - Method in class weka.classifiers.evaluation.TwoClassStats
-
Gets the number of negative instances predicted as negative
- getTruePositive() - Method in class weka.classifiers.evaluation.TwoClassStats
-
Gets the number of positive instances predicted as positive
- getTruePositiveRate() - Method in class weka.classifiers.evaluation.TwoClassStats
-
Calculate the true positive rate.
- getTrueStepName() - Method in class weka.gui.beans.FlowByExpression
-
Get the name of the connected step to send "true" instances to
- getTrueStepName() - Method in class weka.knowledgeflow.steps.FlowByExpression
-
Get the name of the connected step to send "true" instances to
- getTruncate() - Method in class weka.core.converters.DatabaseSaver
-
Get whether to truncate (i.e.
- getTStart() - Method in class weka.classifiers.bayes.net.search.global.SimulatedAnnealing
-
- getTStart() - Method in class weka.classifiers.bayes.net.search.local.SimulatedAnnealing
-
- getTValue() - Method in class weka.core.pmml.jaxbbindings.MultivariateStat
-
Gets the value of the tValue property.
- getTwoClassStats(int) - Method in class weka.classifiers.evaluation.ConfusionMatrix
-
Gets the performance with respect to one of the classes as a TwoClassStats
object.
- getType() - Method in class weka.classifiers.functions.neural.NeuralConnection
-
- getType() - Method in class weka.core.AttributeLocator
-
returns the type of attribute that is located
- getType() - Method in class weka.core.pmml.Array
-
Get the type of this array.
- getType() - Method in class weka.core.pmml.jaxbbindings.AnovaRow
-
Gets the value of the type property.
- getType() - Method in class weka.core.pmml.jaxbbindings.ArrayType
-
Gets the value of the type property.
- getType() - Method in class weka.core.pmml.jaxbbindings.PCovMatrix
-
Gets the value of the type property.
- getType() - Method in class weka.core.pmml.jaxbbindings.SeasonalityExpoSmooth
-
Gets the value of the type property.
- getType() - Method in class weka.core.pmml.jaxbbindings.TimeAnchor
-
Gets the value of the type property.
- getType() - Method in class weka.core.pmml.jaxbbindings.TimeCycle
-
Gets the value of the type property.
- getType() - Method in class weka.core.pmml.jaxbbindings.TimeException
-
Gets the value of the type property.
- getType(RevisionHandler) - Static method in class weka.core.RevisionUtils
-
Determines the type of a (sanitized) revision string returned by the
RevisionHandler.
- getType(String) - Static method in class weka.core.RevisionUtils
-
Determines the type of a (sanitized) revision string.
- getType() - Method in class weka.core.TechnicalInformation
-
returns the type of this technical information
- getType() - Method in class weka.filters.unsupervised.attribute.AddUserFields.AttributeSpec
-
Get the type of the new attribute
- getType(int) - Method in class weka.gui.arffviewer.ArffSortedTableModel
-
returns the TYPE of the attribute at the given position
- getType(int, int) - Method in class weka.gui.arffviewer.ArffSortedTableModel
-
returns the TYPE of the attribute at the given position
- getType(int) - Method in class weka.gui.arffviewer.ArffTableModel
-
returns the TYPE of the attribute at the given position
- getType(int, int) - Method in class weka.gui.arffviewer.ArffTableModel
-
returns the TYPE of the attribute at the given position
- getType() - Method in class weka.gui.scripting.event.ScriptExecutionEvent
-
Returns the type of event.
- getType() - Method in class weka.gui.sql.event.ConnectionEvent
-
returns the type of this event, CONNECT or DISCONNECT
- getU() - Method in class weka.core.Matrix
-
Deprecated.
Returns the U part of the matrix.
- getU() - Method in class weka.core.matrix.LUDecomposition
-
Return upper triangular factor
- getU() - Method in class weka.core.matrix.SingularValueDecomposition
-
Return the left singular vectors
- getUID(String) - Static method in class weka.core.SerializationHelper
-
reads or creates the serialVersionUID for the given class.
- getUID(Class<?>) - Static method in class weka.core.SerializationHelper
-
reads or creates the serialVersionUID for the given class.
- getUnderlyingPackageManager() - Static method in class weka.core.WekaPackageManager
-
Get the underlying package manager implementation
- getUndoBuffer() - Method in class weka.gui.beans.KnowledgeFlowApp.MainKFPerspective
-
- getUndoBuffer(int) - Method in class weka.gui.beans.KnowledgeFlowApp.MainKFPerspective
-
- getUniformDistribution() - Method in class weka.core.pmml.jaxbbindings.Alternate
-
Gets the value of the uniformDistribution property.
- getUniformDistribution() - Method in class weka.core.pmml.jaxbbindings.Baseline
-
Gets the value of the uniformDistribution property.
- getUnit() - Method in class weka.core.pmml.jaxbbindings.SeasonalityExpoSmooth
-
Gets the value of the unit property.
- getUnivariateStats() - Method in class weka.core.pmml.jaxbbindings.ModelStats
-
Gets the value of the univariateStats property.
- getUnpruned() - Method in class weka.classifiers.rules.PART
-
Get the value of unpruned.
- getUnpruned() - Method in class weka.classifiers.trees.J48
-
Get the value of unpruned.
- getUnpruned() - Method in class weka.classifiers.trees.m5.M5Base
-
Get whether unpruned tree/rules are being generated
- getUnpruned() - Method in class weka.classifiers.trees.m5.Rule
-
Get whether unpruned tree/rules are being generated
- getUnsortedEigenVectors() - Method in class weka.attributeSelection.PrincipalComponents
-
Return the unsorted eigenvectors
- getUpdateCount() - Method in class weka.core.converters.DatabaseConnection
-
Dewtermines if the current query retrieves a result set or updates a table
- getUpdateIncrementalClassifier() - Method in class weka.gui.beans.Classifier
-
Get whether an incremental classifier will be updated on the incoming
instance stream.
- getUpdateIncrementalClassifier() - Method in class weka.knowledgeflow.steps.Classifier
-
Get whether to update an incremental classifier on an incoming instance
stream
- getUpdateWeightsOnly() - Method in class weka.estimators.UnivariateEqualFrequencyHistogramEstimator
-
Gets whether only weights should be udpated.*
- getUpper() - Method in class weka.core.pmml.jaxbbindings.UniformDistribution
-
Gets the value of the upper property.
- getUpper() - Method in class weka.gui.experiment.RunNumberPanel
-
Gets the current upper run number.
- getUpperBound() - Method in class weka.core.packageManagement.VersionRangePackageConstraint
-
Get the upper bound of this range
- getUpperBoundMinSupport() - Method in class weka.associations.Apriori
-
Get the value of upperBoundMinSupport.
- getUpperBoundMinSupport() - Method in class weka.associations.FPGrowth
-
Get the value of upperBoundMinSupport.
- getUpperCase() - Method in class weka.core.converters.DatabaseConnection
-
Check if the property checkUpperCaseNames in the DatabaseUtils file is
set to true or false.
- getUpperComparison() - Method in class weka.core.packageManagement.VersionRangePackageConstraint
-
Get the upper comparison
- getUpperNumericBound() - Method in class weka.core.Attribute
-
Returns the upper bound of a numeric attribute.
- getUpperSize() - Method in class weka.experiment.LearningRateResultProducer
-
Get the value of UpperSize.
- getUrl() - Method in interface weka.core.converters.DatabaseConverter
-
- getUrl() - Method in class weka.core.converters.DatabaseLoader
-
Gets the URL
- getUrl() - Method in class weka.core.converters.DatabaseSaver
-
Gets the database URL.
- getURL() - Static method in class weka.core.Copyright
-
returns the URL of the owner
- getURL() - Method in class weka.gui.DatabaseConnectionDialog
-
Returns URL from dialog
- getURL(String, String) - Static method in class weka.gui.Loader
-
returns a URL for the given filename, can be NULL if it fails
- getURL(String) - Method in class weka.gui.Loader
-
returns a URL for the given filename, can be NULL if it fails
- getURL() - Method in class weka.gui.sql.ConnectionPanel
-
returns the current URL.
- getURL() - Method in class weka.gui.sql.event.ResultChangedEvent
-
returns the database URL that produced the table model
- getURL() - Method in class weka.gui.sql.ResultSetTable
-
returns the database URL that produced the table model
- getURL() - Method in class weka.gui.sql.SqlViewer
-
returns the database URL from the currently active tab in the ResultPanel,
otherwise an empty string.
- getURL() - Method in class weka.gui.sql.SqlViewerDialog
-
returns the chosen URL, if any.
- getURLFileLoaders() - Static method in class weka.core.converters.ConverterResources
-
Returns the URL file loaders.
- getURLFileLoaders() - Static method in class weka.core.converters.ConverterUtils
-
returns a vector with the classnames of all the URL file loaders.
- getURLLoaderForExtension(String) - Static method in class weka.core.converters.ConverterUtils
-
tries to determine the URL loader to use for this kind of extension,
returns null if none can be found.
- getURLLoaderForFile(String) - Static method in class weka.core.converters.ConverterUtils
-
tries to determine the URL loader to use for this kind of file, returns
null if none can be found.
- getURLLoaderForFile(File) - Static method in class weka.core.converters.ConverterUtils
-
tries to determine the URL loader to use for this kind of file, returns
null if none can be found.
- getURLLoadersForExtension(String) - Static method in class weka.core.converters.ConverterUtils
-
tries to determine the URL loaders to use for this kind of extension.
- getURLLoadersForFile(String) - Static method in class weka.core.converters.ConverterUtils
-
tries to determine the URL loader to use for this kind of file.
- getURLLoadersForFile(File) - Static method in class weka.core.converters.ConverterUtils
-
tries to determine the URL loaders to use for this kind of file.
- getURLPackageInfo(URL) - Method in class weka.core.packageManagement.DefaultPackageManager
-
Get package information on the package at the given URL.
- getURLPackageInfo(URL) - Method in class weka.core.packageManagement.PackageManager
-
Get package information on the package at the given URL.
- getUsage() - Method in class weka.core.pmml.jaxbbindings.TimeSeries
-
Gets the value of the usage property.
- getUsageType() - Method in class weka.core.pmml.jaxbbindings.MiningField
-
Gets the value of the usageType property.
- getUsageType() - Method in class weka.core.pmml.MiningFieldMetaInfo
-
Get the usage type of this field.
- getUseADTree() - Method in class weka.classifiers.bayes.BayesNet
-
Method declaration
- getUseAIC() - Method in class weka.classifiers.functions.SimpleLogistic
-
Get the value of useAIC.
- getUseAIC() - Method in class weka.classifiers.trees.LMT
-
Get the value of useAIC.
- getUseAIC() - Method in class weka.classifiers.trees.lmt.LogisticBase
-
Get the value of useAIC.
- getUseArcReversal() - Method in class weka.classifiers.bayes.net.search.global.HillClimber
-
get use the arc reversal operation
- getUseArcReversal() - Method in class weka.classifiers.bayes.net.search.local.HillClimber
-
get use the arc reversal operation
- getUseAverage() - Method in class weka.classifiers.meta.IterativeClassifierOptimizer
-
Get the value of UseAverage.
- getUseBetterEncoding() - Method in class weka.filters.supervised.attribute.Discretize
-
Gets whether better encoding is to be used for MDL.
- getUseBinNumbers() - Method in class weka.filters.supervised.attribute.Discretize
-
Gets whether bin numbers rather than ranges should be used for discretized
attributes.
- getUseBinNumbers() - Method in class weka.filters.unsupervised.attribute.Discretize
-
Gets whether bin numbers rather than ranges should be used for discretized
attributes.
- getUseBlanks() - Method in class weka.gui.scripting.SyntaxDocument
-
Returns whether blanks are used instead of tabs.
- getUseClassification() - Static method in class weka.gui.experiment.ExperimenterDefaults
-
whether classification or regression is used.
- getUseConjugateGradientDescent() - Method in class weka.classifiers.functions.Logistic
-
Gets whether to use conjugate gradient descent rather than BFGS updates.
- getUseCpuTime() - Method in class weka.core.Debug.Clock
-
returns whether the use of CPU is time is enabled/disabled (regardless
whether the system supports it or not)
- getUseCrossOver() - Method in class weka.classifiers.bayes.net.search.global.GeneticSearch
-
- getUseCrossOver() - Method in class weka.classifiers.bayes.net.search.local.GeneticSearch
-
- getUseCrossValidation() - Method in class weka.classifiers.functions.SimpleLogistic
-
Get the value of useCrossValidation.
- getUseCustomDimensions() - Method in class weka.gui.visualize.JComponentWriter
-
whether custom dimensions are to used for the size of the image
- getUsedAttributes() - Method in class weka.classifiers.trees.lmt.LogisticBase
-
Returns an array of the indices of the attributes used in the logistic
model.
- getUseDouble() - Method in class weka.core.converters.MatlabSaver
-
Returns whether double or single precision is used.
- getUseDynamic() - Method in class weka.knowledgeflow.steps.ExecuteProcess
-
Get whether to execute dynamic commands
- getUseEnvironmentPropertyEditors() - Method in class weka.gui.PropertySheetPanel
-
Get whether to use environment property editors for string and
file properties
- getUseEqualFrequency() - Method in class weka.classifiers.meta.RegressionByDiscretization
-
Get the value of UseEqualFrequency.
- getUseEqualFrequency() - Method in class weka.filters.unsupervised.attribute.Discretize
-
Get the value of UseEqualFrequency.
- getUseEqualFrequency() - Method in class weka.filters.unsupervised.attribute.PKIDiscretize
-
Get the value of UseEqualFrequency.
- getUseEstimatedPriors() - Method in class weka.classifiers.meta.LogitBoost
-
Get whether resampling is turned on
- getUseGUI() - Method in class weka.core.Memory
-
whether to display a dialog in case of a problem (= TRUE) or just print on
stderr (= FALSE)
- getUseIBk() - Method in class weka.classifiers.rules.DecisionTable
-
Gets whether IBk is being used instead of the majority class
- getUseKernelEstimator() - Method in class weka.classifiers.bayes.NaiveBayes
-
Gets if kernel estimator is being used.
- getUseKononenko() - Method in class weka.filters.supervised.attribute.Discretize
-
Gets whether Kononenko's MDL criterion is to be used.
- getUseLaplace() - Method in class weka.classifiers.trees.J48
-
Get the value of useLaplace.
- getUseLeastValues() - Method in class weka.filters.unsupervised.instance.RemoveFrequentValues
-
Gets whether to use values with least or most instances
- getUseLowerOrder() - Method in class weka.classifiers.functions.supportVector.PolyKernel
-
Gets whether lower-order terms are used.
- getUseMDLcorrection() - Method in class weka.classifiers.rules.PART
-
Get the value of useMDLcorrection.
- getUseMDLcorrection() - Method in class weka.classifiers.trees.J48
-
Get the value of useMDLcorrection.
- getUseMissing() - Method in class weka.filters.unsupervised.attribute.AddNoise
-
Gets the flag if missing values are treated as extra values.
- getUseMutation() - Method in class weka.classifiers.bayes.net.search.global.GeneticSearch
-
- getUseMutation() - Method in class weka.classifiers.bayes.net.search.local.GeneticSearch
-
- getUseNormalization() - Method in class weka.classifiers.functions.supportVector.StringKernel
-
Returns whether normalization is used.
- getUseNormalizedEntropy() - Method in class weka.estimators.UnivariateMixtureEstimator
-
- getUseORForMustContainList() - Method in class weka.associations.FPGrowth
-
Gets whether OR is to be used rather than AND when considering must contain
lists.
- getUsePairwiseCoupling() - Method in class weka.classifiers.meta.MultiClassClassifier
-
Gets whether to use pairwise coupling with 1-vs-1
classification to improve probability estimates.
- getUsePercentageSplit() - Method in class weka.attributeSelection.ClassifierSubsetEval
-
Get whether to perform a percentage split on the training data for
evaluation
- getUseProb() - Method in class weka.classifiers.bayes.net.search.global.GlobalScoreSearchAlgorithm
-
- getUsePropertyIterator() - Method in class weka.experiment.Experiment
-
Gets whether the custom property iterator should be used.
- getUsePruning() - Method in class weka.classifiers.rules.JRip
-
Gets whether pruning is performed
- getUseQRDecomposition() - Method in class weka.classifiers.functions.LinearRegression
-
Get whether to use QR decomposition.
- getUser() - Method in interface weka.core.converters.DatabaseConverter
-
- getUser() - Method in class weka.core.converters.DatabaseLoader
-
Gets the user name
- getUser() - Method in class weka.core.converters.DatabaseSaver
-
Gets the database user.
- getUser() - Method in class weka.gui.sql.ConnectionPanel
-
returns the current User.
- getUser() - Method in class weka.gui.sql.event.ResultChangedEvent
-
returns the user that produced the table model
- getUser() - Method in class weka.gui.sql.ResultSetTable
-
returns the user that produced the table model
- getUser() - Method in class weka.gui.sql.SqlViewer
-
returns the user from the currently active tab in the ResultPanel,
otherwise an empty string.
- getUser() - Method in class weka.gui.sql.SqlViewerDialog
-
returns the chosen user, if any.
- getUseRelativePath() - Method in class weka.core.converters.AbstractFileLoader
-
Gets whether relative paths are to be used
- getUseRelativePath() - Method in class weka.core.converters.AbstractFileSaver
-
Gets whether relative paths are to be used
- getUseRelativePath() - Method in interface weka.core.converters.FileSourcedConverter
-
Gets whether relative paths are to be used
- getUseRelativePath() - Method in class weka.gui.beans.SerializedModelSaver
-
Get whether to use relative paths for the directory.
- getUseRelativePaths() - Static method in class weka.gui.experiment.ExperimenterDefaults
-
whether relative paths are used by default.
- getUseResampling() - Method in class weka.classifiers.meta.AdaBoostM1
-
Get whether resampling is turned on
- getUseResampling() - Method in class weka.classifiers.meta.LogitBoost
-
Get whether resampling is turned on
- getUsername() - Method in class weka.experiment.DatabaseUtils
-
Get the database username.
- getUsername() - Method in class weka.gui.DatabaseConnectionDialog
-
Returns Username from dialog
- getUserOptions() - Method in class weka.classifiers.functions.supportVector.KernelEvaluation
-
returns the options the user supplied for the kernel
- getUserOptions() - Method in class weka.core.CheckOptionHandler
-
Gets the current user-supplied options (creates a copy)
- getUserVisiblePerspectives() - Method in class weka.gui.PerspectiveManager.SelectedPerspectivePreferences
-
Get the list of perspectives that the user has specified should be
visible in the application
- getUseShortIdentifiers() - Method in class weka.filters.supervised.attribute.MergeNominalValues
-
Get whether short identifiers are to be output.
- getUseShortIDs() - Method in class weka.filters.unsupervised.attribute.MergeInfrequentNominalValues
-
Get whether short IDs are to be used.
- getUseStars() - Method in class weka.core.Javadoc
-
whether the Javadoc is prefixed with "*"
- getUseSupervisedDiscretization() - Method in class weka.classifiers.bayes.NaiveBayes
-
Get whether supervised discretization is to be used.
- getUseTab() - Method in class weka.classifiers.evaluation.output.prediction.CSV
-
Returns whether tab is used as separator.
- getUseTabs() - Method in class weka.core.converters.MatlabSaver
-
Returns whether tabs are used instead of blanks.
- getUseTournamentSelection() - Method in class weka.classifiers.bayes.net.search.global.GeneticSearch
-
- getUseTournamentSelection() - Method in class weka.classifiers.bayes.net.search.local.GeneticSearch
-
- getUseTraining() - Method in class weka.attributeSelection.ClassifierSubsetEval
-
Get if training data is to be used instead of hold out/test data
- getUseTree() - Method in class weka.classifiers.trees.m5.Rule
-
get whether an m5 tree is being used rather than rules
- getUseUnsmoothed() - Method in class weka.classifiers.trees.m5.M5Base
-
Get whether or not smoothing is being used
- getUseWordFrequencies() - Method in class weka.classifiers.bayes.NaiveBayesMultinomialText
-
Get whether to use word frequencies rather than binary bag of words
representation.
- getUseWordFrequencies() - Method in class weka.classifiers.functions.SGDText
-
Get whether to use word frequencies rather than binary bag of words
representation.
- getV() - Method in class weka.core.matrix.EigenvalueDecomposition
-
Return the eigenvector matrix
- getV() - Method in class weka.core.matrix.SingularValueDecomposition
-
Return the right singular vectors
- getValidating() - Method in class weka.core.xml.XMLDocument
-
returns whether a validating parser is used.
- getValidating() - Method in class weka.core.xml.XMLOptions
-
returns whether a validating parser is used.
- getValidationSetSize() - Method in class weka.classifiers.functions.MultilayerPerceptron
-
- getValidationThreshold() - Method in class weka.classifiers.functions.MultilayerPerceptron
-
- getValue() - Method in class weka.core.expressionlanguage.common.Primitives.BooleanVariable
-
- getValue() - Method in class weka.core.expressionlanguage.common.Primitives.DoubleVariable
-
- getValue() - Method in class weka.core.expressionlanguage.common.Primitives.StringVariable
-
- getValue() - Method in class weka.core.json.JSONNode
-
Returns the stored value.
- getValue(Object) - Method in class weka.core.json.JSONNode
-
Returns the stored value.
- getValue() - Method in class weka.core.pmml.FieldMetaInfo.Value
-
- getValue() - Method in class weka.core.pmml.jaxbbindings.BaselineStratum
-
Gets the value of the value property.
- getValue() - Method in class weka.core.pmml.jaxbbindings.CategoricalPredictor
-
Gets the value of the value property.
- getValue() - Method in class weka.core.pmml.jaxbbindings.Category
-
Gets the value of the value property.
- getValue() - Method in class weka.core.pmml.jaxbbindings.Coefficient
-
Gets the value of the value property.
- getValue() - Method in class weka.core.pmml.jaxbbindings.Constant
-
Gets the value of the value property.
- getValue() - Method in class weka.core.pmml.jaxbbindings.Decision
-
Gets the value of the value property.
- getValue() - Method in class weka.core.pmml.jaxbbindings.DerivedField
-
Gets the value of the value property.
- getValue() - Method in class weka.core.pmml.jaxbbindings.EventValues
-
Gets the value of the value property.
- getValue() - Method in class weka.core.pmml.jaxbbindings.Extension
-
Gets the value of the value property.
- getValue() - Method in class weka.core.pmml.jaxbbindings.FieldValue
-
Gets the value of the value property.
- getValue() - Method in class weka.core.pmml.jaxbbindings.FieldValueCount
-
Gets the value of the value property.
- getValue() - Method in class weka.core.pmml.jaxbbindings.Item
-
Gets the value of the value property.
- getValue() - Method in class weka.core.pmml.jaxbbindings.MatCell
-
Gets the value of the value property.
- getValue() - Method in class weka.core.pmml.jaxbbindings.NormDiscrete
-
Gets the value of the value property.
- getValue() - Method in class weka.core.pmml.jaxbbindings.OutputField
-
Gets the value of the value property.
- getValue() - Method in class weka.core.pmml.jaxbbindings.PairCounts
-
Gets the value of the value property.
- getValue() - Method in class weka.core.pmml.jaxbbindings.PCovCell
-
Gets the value of the value property.
- getValue() - Method in class weka.core.pmml.jaxbbindings.PPCell
-
Gets the value of the value property.
- getValue() - Method in class weka.core.pmml.jaxbbindings.ResultField
-
Gets the value of the value property.
- getValue() - Method in class weka.core.pmml.jaxbbindings.ScoreDistribution
-
Gets the value of the value property.
- getValue() - Method in class weka.core.pmml.jaxbbindings.SimplePredicate
-
Gets the value of the value property.
- getValue() - Method in class weka.core.pmml.jaxbbindings.TargetValue
-
Gets the value of the value property.
- getValue() - Method in class weka.core.pmml.jaxbbindings.TargetValueCount
-
Gets the value of the value property.
- getValue() - Method in class weka.core.pmml.jaxbbindings.TimeValue
-
Gets the value of the value property.
- getValue() - Method in class weka.core.pmml.jaxbbindings.Value
-
Gets the value of the value property.
- getValue(Object, PropertyPath.Path) - Static method in class weka.core.PropertyPath
-
returns the value specified by the given path from the object
- getValue(Object, String) - Static method in class weka.core.PropertyPath
-
returns the value specified by the given path from the object
- getValue(TechnicalInformation.Field) - Method in class weka.core.TechnicalInformation
-
returns the value associated with the given field, or empty if field is not
currently stored.
- getValue() - Method in class weka.filters.unsupervised.attribute.AddUserFields.AttributeSpec
-
Get the value of the new attribute.
- getValue() - Method in class weka.gui.beans.EnvironmentField
-
Deprecated.
- getValue() - Method in class weka.gui.ColorEditor
-
Get the current color
- getValue() - Method in class weka.gui.CostMatrixEditor
-
Gets the cost matrix that is being edited.
- getValue() - Method in class weka.gui.EnvironmentField
-
- getValue() - Method in class weka.gui.FileEnvironmentField
-
- getValue() - Method in class weka.gui.GenericArrayEditor
-
Gets the current object array.
- getValue() - Method in class weka.gui.GenericObjectEditor
-
Gets the current, configured object.
- getValue() - Method in class weka.gui.HierarchyPropertyParser
-
Get the value of current node
- getValue() - Method in class weka.gui.PasswordField
-
- getValue() - Method in class weka.gui.SimpleDateFormatEditor
-
Gets the date format that is being edited.
- getValue() - Method in class weka.gui.SortedTableModel.SortContainer
-
Returns the value to sort on.
- getValueAt(int, int) - Method in class weka.gui.arffviewer.ArffTableModel
-
returns the value for the cell at columnIndex and rowIndex
- getValueAt(int, int) - Method in class weka.gui.InteractiveTableModel
-
- getValueAt(int, int) - Method in class weka.gui.SortedTableModel
-
Returns the value for the cell at columnIndex and rowIndex.
- getValueAt(int, int) - Method in class weka.gui.sql.ResultSetTableModel
-
returns the value for the cell at columnindex and rowIndex.
- getValueIndex() - Method in class weka.associations.NominalItem
-
Get the value index for this item.
- getValueIndices() - Method in class weka.filters.unsupervised.attribute.MakeIndicator
-
Get the indices of the indicator values.
- getValueName(int, int) - Method in class weka.classifiers.bayes.net.EditableBayesNet
-
returns value of a node
- getValueRange() - Method in class weka.filters.unsupervised.attribute.MakeIndicator
-
Get the range containing the indicator values.
- getValueReplacements() - Method in class weka.filters.unsupervised.attribute.RenameNominalValues
-
- getValues(String) - Method in class weka.classifiers.bayes.net.EditableBayesNet
-
returns array of values of a node
- getValues(int) - Method in class weka.classifiers.bayes.net.EditableBayesNet
-
returns array of values of a node
- getValues() - Method in class weka.core.pmml.jaxbbindings.DataField
-
Gets the value of the value property.
- getValues() - Method in class weka.core.pmml.TargetMetaInfo
-
Get the values (discrete case only) for this Target.
- getValues() - Method in class weka.core.pmml.VectorInstance
-
Get the Array of values encapsulated in this vector instance
- getValues(InterquartileRange.ValueType) - Method in class weka.filters.unsupervised.attribute.InterquartileRange
-
Returns the values for the specified type.
- getValues() - Method in class weka.gui.visualize.VisualizePanelEvent
-
- getValuesList() - Method in class weka.datagenerators.clusterers.SubspaceClusterDefinition
-
returns the range for each attribute as string
- getVarbValues() - Method in class weka.core.Optimization
-
Get the variable values.
- getVariable(String) - Method in class weka.core.expressionlanguage.common.NoVariables
-
Tries to fetch the variable.
- getVariable(String) - Method in class weka.core.expressionlanguage.common.SimpleVariableDeclarations
-
Tries to fetch a declared variable
- getVariable(String) - Method in class weka.core.expressionlanguage.common.VariableDeclarationsCompositor
-
Tries to fetch a variable from one of the combined declarations.
- getVariable(String) - Method in interface weka.core.expressionlanguage.core.VariableDeclarations
-
Tries to fetch a variable
- getVariable(String) - Method in class weka.core.expressionlanguage.weka.InstancesHelper
-
Tries to fetch a variable of an instance value
- getVariable(String) - Method in class weka.core.expressionlanguage.weka.StatsHelper
-
Tries to fetch a Stats field
- getVariableNames() - Method in class weka.core.Environment
-
Get the names of the variables (keys) stored in the internal map.
- getVariables() - Method in class weka.core.expressionlanguage.common.SimpleVariableDeclarations.VariableInitializer
-
Returns the set of variable names that can be initialized
- getVariables() - Method in class weka.gui.SimpleCLIPanel
-
Returns the variables.
- getVariableValue(String) - Method in class weka.core.Environment
-
Get the value for a particular variable.
- getVariance() - Method in class weka.classifiers.BVDecompose
-
Get the calculated variance
- getVariance() - Method in class weka.core.pmml.jaxbbindings.AnyDistribution
-
Gets the value of the variance property.
- getVariance() - Method in class weka.core.pmml.jaxbbindings.GaussianDistribution
-
Gets the value of the variance property.
- getVarianceCovered() - Method in class weka.attributeSelection.PrincipalComponents
-
Gets the proportion of total variance to account for when retaining
principal components
- getVarianceCovered() - Method in class weka.filters.unsupervised.attribute.PrincipalComponents
-
Gets the proportion of total variance to account for when retaining
principal components.
- getVarsInternalRep() - Method in class weka.knowledgeflow.steps.SetVariables
-
Get the variables to set (in internal representation)
- getVector(String) - Method in class weka.core.pmml.VectorDictionary
-
Gets a vector from the dictionary corresponding to the supplied ID
- getVectorDictionary(Element, MiningSchema) - Static method in class weka.core.pmml.VectorDictionary
-
Returns a new VectorDictionary constructed from the supplied XML container
- getVectorFields() - Method in class weka.core.pmml.jaxbbindings.VectorDictionary
-
Gets the value of the vectorFields property.
- getVectorFields() - Method in class weka.core.pmml.VectorInstance
-
Get the mining fields that are indexed by this vector instance
- getVectorId() - Method in class weka.core.pmml.jaxbbindings.SupportVector
-
Gets the value of the vectorId property.
- getVectorInstance() - Method in class weka.core.pmml.jaxbbindings.VectorDictionary
-
Gets the value of the vectorInstance property.
- getVectorizedFormat() - Method in class weka.core.DictionaryBuilder
-
Get the output format
- getVectorOfAttrTypes() - Method in class weka.estimators.CheckEstimator.AttrTypes
-
- getVerbose() - Method in class weka.associations.Apriori
-
Gets whether algorithm is run in verbose mode
- getVerificationField() - Method in class weka.core.pmml.jaxbbindings.VerificationFields
-
Gets the value of the verificationField property.
- getVerificationFields() - Method in class weka.core.pmml.jaxbbindings.ModelVerification
-
Gets the value of the verificationFields property.
- getVersion() - Method in class weka.core.pmml.jaxbbindings.Application
-
Gets the value of the version property.
- getVersion() - Method in class weka.core.pmml.jaxbbindings.PMML
-
Gets the value of the version property.
- getVersion() - Method in class weka.core.xml.XMLSerialization
-
returns the WEKA version with which the serialized object was created
- getVersionComparison() - Method in class weka.core.packageManagement.VersionPackageConstraint
-
- getViewerName() - Method in interface weka.gui.knowledgeflow.StepInteractiveViewer
-
Get the name of this viewer
- getViewerName() - Method in class weka.gui.knowledgeflow.steps.AttributeSummarizerInteractiveView
-
The name of this viewer
- getViewerName() - Method in class weka.gui.knowledgeflow.steps.BoundaryPlotterInteractiveView
-
Get the name of this viewer
- getViewerName() - Method in class weka.gui.knowledgeflow.steps.CostBenefitAnalysisInteractiveView
-
Get the name of this viewer
- getViewerName() - Method in class weka.gui.knowledgeflow.steps.DataVisualizerInteractiveView
-
Get the name of this viewer
- getViewerName() - Method in class weka.gui.knowledgeflow.steps.GraphViewerInteractiveView
-
Get the name of this viewr
- getViewerName() - Method in class weka.gui.knowledgeflow.steps.ImageViewerInteractiveView
-
Get the name of the viewer
- getViewerName() - Method in class weka.gui.knowledgeflow.steps.ModelPerformanceChartInteractiveView
-
Get the name of this viewer
- getViewerName() - Method in class weka.gui.knowledgeflow.steps.ScatterPlotMatrixInteractiveView
-
Get the name of the viewer
- getViewerName() - Method in class weka.gui.knowledgeflow.steps.StripChartInteractiveView
-
Get the name of this viewer
- getViewerName() - Method in class weka.gui.knowledgeflow.steps.TextViewerInteractiveView
-
Get the viewer name
- getVisible() - Method in class weka.gui.treevisualizer.Node
-
Get the value of visible.
- getVisibleColCount() - Method in class weka.experiment.ResultMatrix
-
returns the number of visible columns.
- getVisiblePerspectives() - Method in class weka.gui.PerspectiveManager
-
Get a list of visible perspectives.
- getVisibleRowCount() - Method in class weka.experiment.ResultMatrix
-
returns the number of visible rows.
- getVisual() - Method in class weka.gui.beans.AbstractDataSink
-
Get the visual being used by this data source.
- getVisual() - Method in class weka.gui.beans.AbstractDataSource
-
Get the visual being used by this data source.
- getVisual() - Method in class weka.gui.beans.AbstractEvaluator
-
Get the visual
- getVisual() - Method in class weka.gui.beans.AbstractTestSetProducer
-
Get the visual for this bean
- getVisual() - Method in class weka.gui.beans.AbstractTrainAndTestSetProducer
-
Get the visual for this bean
- getVisual() - Method in class weka.gui.beans.AbstractTrainingSetProducer
-
Get the visual for this bean
- getVisual() - Method in class weka.gui.beans.Appender
-
Get the visual representation
- getVisual() - Method in class weka.gui.beans.Associator
-
Gets the visual appearance of this wrapper bean
- getVisual() - Method in class weka.gui.beans.ClassAssigner
-
- getVisual() - Method in class weka.gui.beans.Classifier
-
Gets the visual appearance of this wrapper bean
- getVisual() - Method in class weka.gui.beans.ClassValuePicker
-
- getVisual() - Method in class weka.gui.beans.Clusterer
-
Gets the visual appearance of this wrapper bean
- getVisual() - Method in class weka.gui.beans.CostBenefitAnalysis
-
- getVisual() - Method in class weka.gui.beans.DataVisualizer
-
Return the visual appearance of this bean
- getVisual() - Method in class weka.gui.beans.Filter
-
Get the visual appearance of this bean
- getVisual() - Method in class weka.gui.beans.FlowByExpression
-
- getVisual() - Method in class weka.gui.beans.GraphViewer
-
Get the visual appearance of this bean
- getVisual() - Method in class weka.gui.beans.ImageSaver
-
- getVisual() - Method in class weka.gui.beans.ImageViewer
-
- getVisual() - Method in class weka.gui.beans.InstanceStreamToBatchMaker
-
Gets the visual appearance of this wrapper bean
- getVisual() - Method in class weka.gui.beans.Join
-
Get the visual for this step
- getVisual() - Method in class weka.gui.beans.MetaBean
-
Gets the visual appearance of this wrapper bean
- getVisual() - Method in class weka.gui.beans.ModelPerformanceChart
-
Return the visual appearance of this bean
- getVisual() - Method in class weka.gui.beans.PredictionAppender
-
Get the visual being used by this data source.
- getVisual() - Method in class weka.gui.beans.SerializedModelSaver
-
Get the visual being used by this data source.
- getVisual() - Method in class weka.gui.beans.Sorter
-
Get the visual representation
- getVisual() - Method in class weka.gui.beans.StripChart
-
Get the visual appearance of this bean
- getVisual() - Method in class weka.gui.beans.SubstringLabeler
-
Get the visual representation
- getVisual() - Method in class weka.gui.beans.SubstringReplacer
-
Get the visual representation
- getVisual() - Method in class weka.gui.beans.TextSaver
-
- getVisual() - Method in class weka.gui.beans.TextViewer
-
Get the visual appearance of this bean
- getVisual() - Method in interface weka.gui.beans.Visible
-
Get the visual representation
- getVisualizeMenuItem(AssociationRules, String) - Method in interface weka.gui.visualize.plugins.AssociationRuleVisualizePlugin
-
Get a JMenu or JMenuItem which contain action listeners
that perform the visualization of the association rules.
- getVisualizeMenuItem(Instances) - Method in interface weka.gui.visualize.plugins.ErrorVisualizePlugin
-
Get a JMenu or JMenuItem which contain action listeners
that perform the visualization of the classifier errors.
- getVisualizeMenuItem(String, String) - Method in interface weka.gui.visualize.plugins.GraphVisualizePlugin
-
Get a JMenu or JMenuItem which contain action listeners
that perform the visualization of the graph in XML BIF format.
- getVisualizeMenuItem(String, String) - Method in interface weka.gui.visualize.plugins.TreeVisualizePlugin
-
Get a JMenu or JMenuItem which contain action listeners
that perform the visualization of the tree in GraphViz's dotty format.
- getVisualizeMenuItem(ArrayList<Prediction>, Attribute) - Method in interface weka.gui.visualize.plugins.VisualizePlugin
-
Get a JMenu or JMenuItem which contain action listeners that perform the
visualization, using some but not necessarily all of the data.
- getVoteFlag() - Method in class weka.datagenerators.classifiers.classification.RDG1
-
Gets the vote flag.
- getWBias() - Method in class weka.classifiers.BVDecomposeSegCVSub
-
Get the calculated bias according to the Webb definition
- getWeight() - Method in class weka.core.pmml.jaxbbindings.Con1
-
Gets the value of the weight property.
- getWeight() - Method in class weka.core.pmml.jaxbbindings.Item
-
Gets the value of the weight property.
- getWeight() - Method in class weka.core.pmml.jaxbbindings.Segment
-
Gets the value of the weight property.
- getWeight() - Method in class weka.core.pmml.jaxbbindings.SimpleRule
-
Gets the value of the weight property.
- getWeight() - Method in class weka.filters.unsupervised.attribute.Add
-
Get the weight of the attribute used.
- getWeightByDistance() - Method in class weka.attributeSelection.ReliefFAttributeEval
-
Get whether nearest neighbours are being weighted by distance
- getWeighted() - Method in class weka.core.pmml.jaxbbindings.PartitionFieldStats
-
Gets the value of the weighted property.
- getWeighted() - Method in class weka.core.pmml.jaxbbindings.UnivariateStats
-
Gets the value of the weighted property.
- getWeightField() - Method in class weka.core.pmml.jaxbbindings.TestDistributions
-
Gets the value of the weightField property.
- getWeightingKernel() - Method in class weka.classifiers.lazy.LWL
-
Gets the kernel weighting method to use.
- getWeights() - Method in class weka.classifiers.functions.neural.NeuralNode
-
call this function to get the weights array.
- getWeights() - Method in class weka.classifiers.functions.SGD
-
- getWeights() - Method in class weka.estimators.KernelEstimator
-
Return the weights of the kernels.
- getWeights() - Method in interface weka.gui.boundaryvisualizer.DataGenerator
-
Get weights
- getWeights() - Method in class weka.gui.boundaryvisualizer.KDDataGenerator
-
- getWeightThreshold() - Method in class weka.classifiers.meta.AdaBoostM1
-
Get the degree of weight thresholding
- getWeightThreshold() - Method in class weka.classifiers.meta.LogitBoost
-
Get the degree of weight thresholding
- getWeightTrimBeta() - Method in class weka.classifiers.functions.SimpleLogistic
-
Get the value of weightTrimBeta.
- getWeightTrimBeta() - Method in class weka.classifiers.trees.LMT
-
Get the value of weightTrimBeta.
- getWeightTrimBeta() - Method in class weka.classifiers.trees.lmt.LogisticBase
-
Get the value of weightTrimBeta.
- getWekaClassloaderClasspathEntries() - Method in class weka.core.WekaPackageClassLoaderManager
-
Get the entries in the Weka class loader (i.e.
- getWekaHome() - Static method in class weka.core.ResourceUtils
-
Returns the Weka home directory.
- getWekaJFrame(String, Component) - Static method in class weka.core.Utils
-
Returns a JFrame with the given title.
- getWekaPackageClassLoaderManager() - Static method in class weka.core.WekaPackageClassLoaderManager
-
Gets the singleton instance of the WekaPackageClassLoaderManager
- getWidget(String) - Method in class weka.gui.knowledgeflow.MainKFPerspectiveToolBar
-
- getWidth() - Method in class weka.core.pmml.jaxbbindings.NeuralLayer
-
Gets the value of the width property.
- getWidth() - Method in class weka.core.pmml.jaxbbindings.NeuralNetwork
-
Gets the value of the width property.
- getWidth() - Method in class weka.core.pmml.jaxbbindings.Neuron
-
Gets the value of the width property.
- getWidth() - Method in class weka.gui.beans.BeanInstance
-
Gets the width of this bean
- getWindow(Class<?>) - Method in class weka.gui.Main
-
returns the first instance of the given window class, null if none can be
found.
- getWindow(String) - Method in class weka.gui.Main
-
returns the first window with the given title, null if none can be found.
- getWindowList() - Method in class weka.gui.Main
-
returns all currently open frames.
- getWindowSize() - Method in class weka.classifiers.lazy.IBk
-
Gets the maximum number of instances allowed in the training
pool.
- getWindowSize() - Method in class weka.core.pmml.jaxbbindings.TestDistributions
-
Gets the value of the windowSize property.
- getWithPrefix(String) - Method in class weka.core.Trie
-
returns all stored strings that match the given prefix
- getWords() - Method in class weka.core.CheckScheme
-
returns the words used for assembling strings in a comma-separated list.
- getWords() - Method in class weka.core.TestInstances
-
returns the words used for assembling strings in a comma-separated list.
- getWordSeparators() - Method in class weka.core.CheckScheme
-
returns the word separators (chars) to use for assembling strings.
- getWordSeparators() - Method in class weka.core.TestInstances
-
returns the word separators (chars) to use for assembling strings.
- getWordsToKeep() - Method in class weka.core.converters.DictionarySaver
-
Gets the number of words (per class if there is a class attribute assigned)
to attempt to keep.
- getWordsToKeep() - Method in class weka.core.DictionaryBuilder
-
Gets the number of words (per class if there is a class attribute assigned)
to attempt to keep.
- getWordsToKeep() - Method in class weka.filters.unsupervised.attribute.StringToWordVector
-
Gets the number of words (per class if there is a class attribute assigned)
to attempt to keep.
- getWrappedAlgorithm() - Method in class weka.gui.beans.Associator
-
Returns the wrapped associator
- getWrappedAlgorithm() - Method in class weka.gui.beans.Classifier
-
Returns the wrapped classifier
- getWrappedAlgorithm() - Method in class weka.gui.beans.Clusterer
-
Returns the wrapped clusterer
- getWrappedAlgorithm() - Method in class weka.gui.beans.Filter
-
Get the filter wrapped by this bean
- getWrappedAlgorithm() - Method in class weka.gui.beans.Loader
-
Get the loader
- getWrappedAlgorithm() - Method in class weka.gui.beans.Saver
-
Get the saver
- getWrappedAlgorithm() - Method in interface weka.gui.beans.WekaWrapper
-
Get the algorithm
- getWrappedAlgorithm() - Method in class weka.knowledgeflow.steps.WekaAlgorithmWrapper
-
Get the wrapped algorithm
- getWrappedAlgorithmClass() - Method in class weka.knowledgeflow.steps.ASEvaluator
-
Get the class of Weka algorithm wrapped by this wrapper
- getWrappedAlgorithmClass() - Method in class weka.knowledgeflow.steps.ASSearchStrategy
-
Get the class of the algorithm wrapped by this wrapper step (ASSearch in
this case).
- getWrappedAlgorithmClass() - Method in class weka.knowledgeflow.steps.Associator
-
Get the class of the algorithm being wrapped
- getWrappedAlgorithmClass() - Method in class weka.knowledgeflow.steps.Classifier
-
- getWrappedAlgorithmClass() - Method in class weka.knowledgeflow.steps.Clusterer
-
Get the class of the wrapped algorithm
- getWrappedAlgorithmClass() - Method in class weka.knowledgeflow.steps.DataGenerator
-
Get the class of the wrapped algorithm
- getWrappedAlgorithmClass() - Method in class weka.knowledgeflow.steps.Filter
-
Get the class of the wrapped algorithm
- getWrappedAlgorithmClass() - Method in class weka.knowledgeflow.steps.Loader
-
Get the class of the wrapped algorithm
- getWrappedAlgorithmClass() - Method in class weka.knowledgeflow.steps.Saver
-
Get the class of the wrapped algorithm
- getWrappedAlgorithmClass() - Method in class weka.knowledgeflow.steps.WekaAlgorithmWrapper
-
Get the class of the algorithm being wrapped
- getWrappedRules() - Method in class weka.associations.FilteredAssociationRules
-
Get the wrapped AssociationRules
object.
- getWriteMode() - Method in class weka.core.converters.AbstractSaver
-
Gets the write mode.
- getWriteMode() - Method in interface weka.core.converters.Saver
-
Gets the write mode
- getWriter() - Method in class weka.core.converters.AbstractFileSaver
-
Gets the writer
- getWriter(String) - Method in class weka.gui.visualize.PrintableComponent
-
returns the JComponentWriter associated with the given name, is
null
if not found.
- getWriter(String) - Method in interface weka.gui.visualize.PrintableHandler
-
returns the JComponentWriter associated with the given name, is
null
if not found
- getWriter(String) - Method in class weka.gui.visualize.PrintablePanel
-
returns the JComponentWriter associated with the given name, is
null
if not found
- getWriters() - Method in class weka.gui.visualize.PrintableComponent
-
returns a Hashtable with the current available JComponentWriters in the
save dialog.
- getWriters() - Method in interface weka.gui.visualize.PrintableHandler
-
returns a Hashtable with the current available JComponentWriters in the
save dialog.
- getWriters() - Method in class weka.gui.visualize.PrintablePanel
-
returns a Hashtable with the current available JComponentWriters in the
save dialog.
- getWriteTitleString() - Method in class weka.knowledgeflow.steps.TextSaver
-
Get whether the title string will be written to the file
- getWVariance() - Method in class weka.classifiers.BVDecomposeSegCVSub
-
Get the calculated variance according to the Webb definition
- getX() - Method in class weka.classifiers.functions.neural.NeuralConnection
-
- getX() - Method in class weka.gui.beans.BeanInstance
-
Gets the x coordinate of this bean
- getX() - Method in class weka.gui.knowledgeflow.StepVisual
-
Get the x coordinate of this step on the graphical layout
- getXAttName() - Method in class weka.knowledgeflow.steps.BoundaryPlotter
-
Get the name/index of the X axis attribute
- getXCoordinates() - Method in class weka.core.pmml.jaxbbindings.LiftGraph
-
Gets the value of the xCoordinates property.
- getXCoordinates() - Method in class weka.core.pmml.jaxbbindings.ROCGraph
-
Gets the value of the xCoordinates property.
- getXindex() - Method in class weka.gui.visualize.PlotData2D
-
Get the currently set x index of the data
- getXIndex() - Method in class weka.gui.visualize.VisualizePanel
-
Get the index of the attribute on the x axis
- getXLabelFreq() - Method in class weka.gui.beans.StripChart
-
Get the frequency by which x axis values are printed
- getXLabelFreq() - Method in class weka.knowledgeflow.steps.StripChart
-
Get the x label frequency
- getXMLDocument() - Method in class weka.core.xml.XMLOptions
-
returns the handler of the XML document.
- getXScale() - Method in class weka.gui.visualize.JComponentWriter
-
returns the scale factor for the x-axis
- getXScale() - Method in class weka.gui.visualize.PrintableComponent
-
returns the scale factor for the x-axis.
- getXScale() - Method in interface weka.gui.visualize.PrintableHandler
-
returns the scale factor for the x-axis
- getXScale() - Method in class weka.gui.visualize.PrintablePanel
-
returns the scale factor for the x-axis
- getY() - Method in class weka.classifiers.functions.neural.NeuralConnection
-
- getY() - Method in class weka.gui.beans.BeanInstance
-
Gets the y coordinate of this bean
- getY() - Method in class weka.gui.knowledgeflow.StepVisual
-
Get the y coordinate of this step on the graphical layout
- getYAttName() - Method in class weka.knowledgeflow.steps.BoundaryPlotter
-
Get the name/index of the Y axis attribute
- getYCoordinates() - Method in class weka.core.pmml.jaxbbindings.LiftGraph
-
Gets the value of the yCoordinates property.
- getYCoordinates() - Method in class weka.core.pmml.jaxbbindings.ROCGraph
-
Gets the value of the yCoordinates property.
- getYindex() - Method in class weka.gui.visualize.PlotData2D
-
Get the currently set y index of the data
- getYIndex() - Method in class weka.gui.visualize.VisualizePanel
-
Get the index of the attribute on the y axis
- getYScale() - Method in class weka.gui.visualize.JComponentWriter
-
returns the scale factor for the y-axis
- getYScale() - Method in class weka.gui.visualize.PrintableComponent
-
returns the scale factor for the y-axis.
- getYScale() - Method in interface weka.gui.visualize.PrintableHandler
-
returns the scale factor for the y-axis
- getYScale() - Method in class weka.gui.visualize.PrintablePanel
-
returns the scale factor for the y-axis
- getZeroThreshold() - Method in class weka.core.pmml.jaxbbindings.VerificationField
-
Gets the value of the zeroThreshold property.
- getZMax() - Method in class weka.classifiers.meta.LogitBoost
-
Get the Z max threshold on the responses
- getZoomSetting(int) - Method in class weka.gui.beans.KnowledgeFlowApp.MainKFPerspective
-
- getZoomSetting() - Method in class weka.gui.knowledgeflow.VisibleLayout
-
Get the current zoom setting for this layout
- gini(Map<String, WeightMass>) - Static method in class weka.classifiers.trees.ht.GiniSplitMetric
-
Return the gini metric computed from the supplied distribution
- GINI_SPLIT - Static variable in class weka.classifiers.trees.HoeffdingTree
-
- GiniSplitMetric - Class in weka.classifiers.trees.ht
-
Implements the gini splitting criterion
- GiniSplitMetric() - Constructor for class weka.classifiers.trees.ht.GiniSplitMetric
-
- globalBlendTipText() - Method in class weka.classifiers.lazy.KStar
-
Returns the tip text for this property
- globalInfo() - Method in class weka.associations.Apriori
-
Returns a string describing this associator
- globalInfo() - Method in class weka.associations.FilteredAssociator
-
Returns a string describing this Associator
- globalInfo() - Method in class weka.associations.FPGrowth
-
Returns a string describing this associator
- globalInfo() - Method in class weka.attributeSelection.BestFirst
-
Returns a string describing this search method
- globalInfo() - Method in class weka.attributeSelection.CfsSubsetEval
-
Returns a string describing this attribute evaluator
- globalInfo() - Method in class weka.attributeSelection.ClassifierAttributeEval
-
Returns a string describing this attribute evaluator.
- globalInfo() - Method in class weka.attributeSelection.ClassifierSubsetEval
-
Returns a string describing this attribute evaluator
- globalInfo() - Method in class weka.attributeSelection.CorrelationAttributeEval
-
Returns a string describing this attribute evaluator
- globalInfo() - Method in class weka.attributeSelection.GainRatioAttributeEval
-
Returns a string describing this attribute evaluator
- globalInfo() - Method in class weka.attributeSelection.GreedyStepwise
-
Returns a string describing this search method
- globalInfo() - Method in class weka.attributeSelection.InfoGainAttributeEval
-
Returns a string describing this attribute evaluator
- globalInfo() - Method in class weka.attributeSelection.OneRAttributeEval
-
Returns a string describing this attribute evaluator
- globalInfo() - Method in class weka.attributeSelection.PrincipalComponents
-
Returns a string describing this attribute transformer
- globalInfo() - Method in class weka.attributeSelection.Ranker
-
Returns a string describing this search method
- globalInfo() - Method in class weka.attributeSelection.ReliefFAttributeEval
-
Returns a string describing this attribute evaluator
- globalInfo() - Method in class weka.attributeSelection.SymmetricalUncertAttributeEval
-
Returns a string describing this attribute evaluator
- globalInfo() - Method in class weka.attributeSelection.WrapperSubsetEval
-
Returns a string describing this attribute evaluator
- globalInfo() - Method in class weka.classifiers.bayes.BayesNet
-
This will return a string describing the classifier.
- globalInfo() - Method in class weka.classifiers.bayes.NaiveBayes
-
Returns a string describing this classifier
- globalInfo() - Method in class weka.classifiers.bayes.NaiveBayesMultinomial
-
Returns a string describing this classifier
- globalInfo() - Method in class weka.classifiers.bayes.NaiveBayesMultinomialText
-
Returns a string describing classifier
- globalInfo() - Method in class weka.classifiers.bayes.NaiveBayesMultinomialUpdateable
-
Returns a string describing this classifier
- globalInfo() - Method in class weka.classifiers.bayes.NaiveBayesUpdateable
-
Returns a string describing this classifier
- globalInfo() - Method in class weka.classifiers.bayes.net.BIFReader
-
This will return a string describing the classifier.
- globalInfo() - Method in class weka.classifiers.bayes.net.estimate.BayesNetEstimator
-
This will return a string describing the class.
- globalInfo() - Method in class weka.classifiers.bayes.net.estimate.BMAEstimator
-
Returns a string describing this object
- globalInfo() - Method in class weka.classifiers.bayes.net.estimate.MultiNomialBMAEstimator
-
Returns a string describing this object
- globalInfo() - Method in class weka.classifiers.bayes.net.estimate.SimpleEstimator
-
Returns a string describing this object
- globalInfo() - Method in class weka.classifiers.bayes.net.search.ci.CISearchAlgorithm
-
Returns a string describing this object
- globalInfo() - Method in class weka.classifiers.bayes.net.search.ci.ICSSearchAlgorithm
-
This will return a string describing the search algorithm.
- globalInfo() - Method in class weka.classifiers.bayes.net.search.fixed.FromFile
-
Returns a string describing this object
- globalInfo() - Method in class weka.classifiers.bayes.net.search.fixed.NaiveBayes
-
Returns a string describing this object
- globalInfo() - Method in class weka.classifiers.bayes.net.search.global.GeneticSearch
-
This will return a string describing the classifier.
- globalInfo() - Method in class weka.classifiers.bayes.net.search.global.GlobalScoreSearchAlgorithm
-
This will return a string describing the search algorithm.
- globalInfo() - Method in class weka.classifiers.bayes.net.search.global.HillClimber
-
This will return a string describing the search algorithm.
- globalInfo() - Method in class weka.classifiers.bayes.net.search.global.K2
-
This will return a string describing the search algorithm.
- globalInfo() - Method in class weka.classifiers.bayes.net.search.global.RepeatedHillClimber
-
This will return a string describing the classifier.
- globalInfo() - Method in class weka.classifiers.bayes.net.search.global.SimulatedAnnealing
-
This will return a string describing the classifier.
- globalInfo() - Method in class weka.classifiers.bayes.net.search.global.TabuSearch
-
This will return a string describing the classifier.
- globalInfo() - Method in class weka.classifiers.bayes.net.search.global.TAN
-
This will return a string describing the classifier.
- globalInfo() - Method in class weka.classifiers.bayes.net.search.local.GeneticSearch
-
This will return a string describing the classifier.
- globalInfo() - Method in class weka.classifiers.bayes.net.search.local.HillClimber
-
This will return a string describing the search algorithm.
- globalInfo() - Method in class weka.classifiers.bayes.net.search.local.K2
-
This will return a string describing the search algorithm.
- globalInfo() - Method in class weka.classifiers.bayes.net.search.local.LAGDHillClimber
-
This will return a string describing the search algorithm.
- globalInfo() - Method in class weka.classifiers.bayes.net.search.local.LocalScoreSearchAlgorithm
-
This will return a string describing the search algorithm.
- globalInfo() - Method in class weka.classifiers.bayes.net.search.local.RepeatedHillClimber
-
This will return a string describing the classifier.
- globalInfo() - Method in class weka.classifiers.bayes.net.search.local.SimulatedAnnealing
-
This will return a string describing the classifier.
- globalInfo() - Method in class weka.classifiers.bayes.net.search.local.TabuSearch
-
This will return a string describing the classifier.
- globalInfo() - Method in class weka.classifiers.bayes.net.search.local.TAN
-
This will return a string describing the classifier.
- globalInfo() - Method in class weka.classifiers.BVDecompose
-
Returns a string describing this object
- globalInfo() - Method in class weka.classifiers.BVDecomposeSegCVSub
-
Returns a string describing this object
- globalInfo() - Method in class weka.classifiers.evaluation.output.prediction.AbstractOutput
-
Returns a string describing the output generator.
- globalInfo() - Method in class weka.classifiers.evaluation.output.prediction.CSV
-
Returns a string describing the output generator.
- globalInfo() - Method in class weka.classifiers.evaluation.output.prediction.HTML
-
Returns a string describing the output generator.
- globalInfo() - Method in class weka.classifiers.evaluation.output.prediction.InMemory
-
Returns a string describing the output generator.
- globalInfo() - Method in class weka.classifiers.evaluation.output.prediction.Null
-
Returns a string describing the output generator.
- globalInfo() - Method in class weka.classifiers.evaluation.output.prediction.PlainText
-
Returns a string describing the output generator.
- globalInfo() - Method in class weka.classifiers.evaluation.output.prediction.XML
-
Returns a string describing the output generator.
- globalInfo() - Method in class weka.classifiers.functions.GaussianProcesses
-
Returns a string describing classifier
- globalInfo() - Method in class weka.classifiers.functions.LinearRegression
-
Returns a string describing this classifier
- globalInfo() - Method in class weka.classifiers.functions.Logistic
-
Returns a string describing this classifier
- globalInfo() - Method in class weka.classifiers.functions.MultilayerPerceptron
-
This will return a string describing the classifier.
- globalInfo() - Method in class weka.classifiers.functions.SGD
-
Returns a string describing classifier
- globalInfo() - Method in class weka.classifiers.functions.SGDText
-
Returns a string describing classifier
- globalInfo() - Method in class weka.classifiers.functions.SimpleLinearRegression
-
Returns a string describing this classifier
- globalInfo() - Method in class weka.classifiers.functions.SimpleLogistic
-
Returns a string describing classifier
- globalInfo() - Method in class weka.classifiers.functions.SMO
-
Returns a string describing classifier
- globalInfo() - Method in class weka.classifiers.functions.SMOreg
-
Returns a string describing classifier
- globalInfo() - Method in class weka.classifiers.functions.supportVector.Kernel
-
Returns a string describing the kernel
- globalInfo() - Method in class weka.classifiers.functions.supportVector.NormalizedPolyKernel
-
Returns a string describing the kernel
- globalInfo() - Method in class weka.classifiers.functions.supportVector.PolyKernel
-
Returns a string describing the kernel
- globalInfo() - Method in class weka.classifiers.functions.supportVector.PrecomputedKernelMatrixKernel
-
Returns a string describing the kernel
- globalInfo() - Method in class weka.classifiers.functions.supportVector.Puk
-
Returns a string describing the kernel
- globalInfo() - Method in class weka.classifiers.functions.supportVector.RBFKernel
-
Returns a string describing the kernel
- globalInfo() - Method in class weka.classifiers.functions.supportVector.RegSMO
-
Returns a string describing classifier
- globalInfo() - Method in class weka.classifiers.functions.supportVector.RegSMOImproved
-
Returns a string describing the object
- globalInfo() - Method in class weka.classifiers.functions.supportVector.StringKernel
-
Returns a string describing the kernel
- globalInfo() - Method in class weka.classifiers.functions.VotedPerceptron
-
Returns a string describing this classifier
- globalInfo() - Method in class weka.classifiers.lazy.IBk
-
Returns a string describing classifier.
- globalInfo() - Method in class weka.classifiers.lazy.KStar
-
Returns a string describing classifier
- globalInfo() - Method in class weka.classifiers.lazy.LWL
-
Returns a string describing classifier.
- globalInfo() - Method in class weka.classifiers.meta.AdaBoostM1
-
Returns a string describing classifier
- globalInfo() - Method in class weka.classifiers.meta.AdditiveRegression
-
Returns a string describing this attribute evaluator
- globalInfo() - Method in class weka.classifiers.meta.AttributeSelectedClassifier
-
Returns a string describing this search method
- globalInfo() - Method in class weka.classifiers.meta.Bagging
-
Returns a string describing classifier
- globalInfo() - Method in class weka.classifiers.meta.ClassificationViaRegression
-
Returns a string describing classifier
- globalInfo() - Method in class weka.classifiers.meta.CostSensitiveClassifier
-
- globalInfo() - Method in class weka.classifiers.meta.CVParameterSelection
-
Returns a string describing this classifier
- globalInfo() - Method in class weka.classifiers.meta.FilteredClassifier
-
Returns a string describing this classifier
- globalInfo() - Method in class weka.classifiers.meta.IterativeClassifierOptimizer
-
Returns a string describing classifier
- globalInfo() - Method in class weka.classifiers.meta.LogitBoost
-
Returns a string describing classifier
- globalInfo() - Method in class weka.classifiers.meta.MultiClassClassifier
-
- globalInfo() - Method in class weka.classifiers.meta.MultiClassClassifierUpdateable
-
- globalInfo() - Method in class weka.classifiers.meta.MultiScheme
-
Returns a string describing classifier
- globalInfo() - Method in class weka.classifiers.meta.RandomCommittee
-
Returns a string describing classifier
- globalInfo() - Method in class weka.classifiers.meta.RandomizableFilteredClassifier
-
Returns a string describing this classifier
- globalInfo() - Method in class weka.classifiers.meta.RandomSubSpace
-
Returns a string describing classifier
- globalInfo() - Method in class weka.classifiers.meta.RegressionByDiscretization
-
Returns a string describing classifier
- globalInfo() - Method in class weka.classifiers.meta.Stacking
-
Returns a string describing classifier
- globalInfo() - Method in class weka.classifiers.meta.Vote
-
Returns a string describing classifier
- globalInfo() - Method in class weka.classifiers.meta.WeightedInstancesHandlerWrapper
-
Returns a string describing classifier
- globalInfo() - Method in class weka.classifiers.misc.InputMappedClassifier
-
Returns a string describing this classifier
- globalInfo() - Method in class weka.classifiers.misc.SerializedClassifier
-
Returns a string describing classifier
- globalInfo() - Method in class weka.classifiers.rules.DecisionTable
-
Returns a string describing classifier
- globalInfo() - Method in class weka.classifiers.rules.JRip
-
Returns a string describing classifier
- globalInfo() - Method in class weka.classifiers.rules.M5Rules
-
Returns a string describing classifier
- globalInfo() - Method in class weka.classifiers.rules.OneR
-
Returns a string describing classifier
- globalInfo() - Method in class weka.classifiers.rules.PART
-
Returns a string describing classifier
- globalInfo() - Method in class weka.classifiers.rules.ZeroR
-
Returns a string describing classifier
- globalInfo() - Method in class weka.classifiers.trees.DecisionStump
-
Returns a string describing classifier
- globalInfo() - Method in class weka.classifiers.trees.HoeffdingTree
-
Returns a string describing classifier
- globalInfo() - Method in class weka.classifiers.trees.J48
-
Returns a string describing classifier
- globalInfo() - Method in class weka.classifiers.trees.LMT
-
Returns a string describing classifier
- globalInfo() - Method in class weka.classifiers.trees.M5P
-
returns information about the classifier
- globalInfo() - Method in class weka.classifiers.trees.RandomForest
-
Returns a string describing classifier
- globalInfo() - Method in class weka.classifiers.trees.RandomTree
-
Returns a string describing classifier
- globalInfo() - Method in class weka.classifiers.trees.REPTree
-
Returns a string describing classifier
- globalInfo() - Method in class weka.clusterers.Canopy
-
Returns a string describing this clusterer.
- globalInfo() - Method in class weka.clusterers.Cobweb
-
Returns a string describing this clusterer
- globalInfo() - Method in class weka.clusterers.EM
-
Returns a string describing this clusterer
- globalInfo() - Method in class weka.clusterers.FarthestFirst
-
Returns a string describing this clusterer
- globalInfo() - Method in class weka.clusterers.FilteredClusterer
-
Returns a string describing this clusterer.
- globalInfo() - Method in class weka.clusterers.HierarchicalClusterer
-
This will return a string describing the clusterer.
- globalInfo() - Method in class weka.clusterers.MakeDensityBasedClusterer
-
Returns a string describing classifier
- globalInfo() - Method in class weka.clusterers.SimpleKMeans
-
Returns a string describing this clusterer.
- globalInfo() - Method in class weka.core.ChebyshevDistance
-
Returns a string describing this object.
- globalInfo() - Method in class weka.core.converters.ArffLoader
-
Returns a string describing this Loader
- globalInfo() - Method in class weka.core.converters.ArffSaver
-
Returns a string describing this Saver
- globalInfo() - Method in class weka.core.converters.C45Loader
-
Returns a string describing this attribute evaluator
- globalInfo() - Method in class weka.core.converters.C45Saver
-
Returns a string describing this Saver
- globalInfo() - Method in class weka.core.converters.CSVLoader
-
Returns a string describing this attribute evaluator.
- globalInfo() - Method in class weka.core.converters.CSVSaver
-
Returns a string describing this Saver.
- globalInfo() - Method in class weka.core.converters.DatabaseLoader
-
Returns a string describing this Loader
- globalInfo() - Method in class weka.core.converters.DatabaseSaver
-
Returns a string describing this Saver.
- globalInfo() - Method in class weka.core.converters.DictionarySaver
-
Returns a string describing this Saver.
- globalInfo() - Method in class weka.core.converters.JSONLoader
-
Returns a string describing this Loader.
- globalInfo() - Method in class weka.core.converters.JSONSaver
-
Returns a string describing this Saver.
- globalInfo() - Method in class weka.core.converters.LibSVMLoader
-
Returns a string describing this Loader.
- globalInfo() - Method in class weka.core.converters.LibSVMSaver
-
Returns a string describing this Saver
- globalInfo() - Method in class weka.core.converters.MatlabLoader
-
Returns a string describing this Loader.
- globalInfo() - Method in class weka.core.converters.MatlabSaver
-
Returns a string describing this Saver.
- globalInfo() - Method in class weka.core.converters.SerializedInstancesLoader
-
Returns a string describing this object
- globalInfo() - Method in class weka.core.converters.SerializedInstancesSaver
-
Returns a string describing this Saver.
- globalInfo() - Method in class weka.core.converters.SVMLightLoader
-
Returns a string describing this Loader.
- globalInfo() - Method in class weka.core.converters.SVMLightSaver
-
Returns a string describing this Saver.
- globalInfo() - Method in class weka.core.converters.TextDirectoryLoader
-
Returns a string describing this loader
- globalInfo() - Method in class weka.core.converters.XRFFLoader
-
Returns a string describing this Loader
- globalInfo() - Method in class weka.core.converters.XRFFSaver
-
Returns a string describing this Saver
- globalInfo() - Method in class weka.core.EuclideanDistance
-
Returns a string describing this object.
- globalInfo() - Method in class weka.core.FilteredDistance
-
Returns a string describing this object.
- globalInfo() - Method in class weka.core.ManhattanDistance
-
Returns a string describing this object.
- globalInfo() - Method in class weka.core.MinkowskiDistance
-
Returns a string describing this object.
- globalInfo() - Method in class weka.core.neighboursearch.BallTree
-
Returns a string describing this nearest neighbour search algorithm.
- globalInfo() - Method in class weka.core.neighboursearch.balltrees.BottomUpConstructor
-
Returns a string describing this nearest neighbour search algorithm.
- globalInfo() - Method in class weka.core.neighboursearch.balltrees.MedianDistanceFromArbitraryPoint
-
Returns a string describing this nearest neighbour search algorithm.
- globalInfo() - Method in class weka.core.neighboursearch.balltrees.MedianOfWidestDimension
-
Returns a string describing this nearest neighbour search algorithm.
- globalInfo() - Method in class weka.core.neighboursearch.balltrees.MiddleOutConstructor
-
Returns a string describing this nearest neighbour search algorithm.
- globalInfo() - Method in class weka.core.neighboursearch.balltrees.PointsClosestToFurthestChildren
-
Returns a string describing this object.
- globalInfo() - Method in class weka.core.neighboursearch.balltrees.TopDownConstructor
-
Returns a string describing this nearest neighbour search algorithm.
- globalInfo() - Method in class weka.core.neighboursearch.CoverTree
-
Returns a string describing this nearest neighbour search algorithm.
- globalInfo() - Method in class weka.core.neighboursearch.FilteredNeighbourSearch
-
Returns a string describing this object.
- globalInfo() - Method in class weka.core.neighboursearch.KDTree
-
Returns a string describing this nearest neighbour search algorithm.
- globalInfo() - Method in class weka.core.neighboursearch.kdtrees.KMeansInpiredMethod
-
Returns a string describing this nearest neighbour search algorithm.
- globalInfo() - Method in class weka.core.neighboursearch.kdtrees.MedianOfWidestDimension
-
Returns a string describing this nearest neighbour search algorithm.
- globalInfo() - Method in class weka.core.neighboursearch.kdtrees.MidPointOfWidestDimension
-
Returns a string describing this nearest neighbour search algorithm.
- globalInfo() - Method in class weka.core.neighboursearch.kdtrees.SlidingMidPointOfWidestSide
-
Returns a string describing this nearest neighbour search algorithm.
- globalInfo() - Method in class weka.core.neighboursearch.LinearNNSearch
-
Returns a string describing this nearest neighbour search algorithm.
- globalInfo() - Method in class weka.core.neighboursearch.NearestNeighbourSearch
-
Returns a string describing this nearest neighbour search algorithm.
- globalInfo() - Method in class weka.core.NormalizableDistance
-
Returns a string describing this object.
- globalInfo() - Method in class weka.core.stemmers.IteratedLovinsStemmer
-
Returns a string describing the stemmer
- globalInfo() - Method in class weka.core.stemmers.LovinsStemmer
-
Returns a string describing the stemmer
- globalInfo() - Method in class weka.core.stemmers.NullStemmer
-
Returns a string describing the stemmer
- globalInfo() - Method in class weka.core.stemmers.SnowballStemmer
-
Returns a string describing the stemmer.
- globalInfo() - Method in class weka.core.stopwords.AbstractStopwords
-
Returns a string describing the stopwords scheme.
- globalInfo() - Method in class weka.core.stopwords.MultiStopwords
-
- globalInfo() - Method in class weka.core.stopwords.Null
-
Returns a string describing the stopwords scheme.
- globalInfo() - Method in class weka.core.stopwords.Rainbow
-
Returns a string describing the stopwords scheme.
- globalInfo() - Method in class weka.core.stopwords.RegExpFromFile
-
Returns a string describing the stopwords scheme.
- globalInfo() - Method in class weka.core.stopwords.WordsFromFile
-
Returns a string describing the stopwords scheme.
- globalInfo() - Method in class weka.core.tokenizers.AlphabeticTokenizer
-
Returns a string describing the stemmer
- globalInfo() - Method in class weka.core.tokenizers.CharacterNGramTokenizer
-
Returns a string describing the tokenizer
- globalInfo() - Method in class weka.core.tokenizers.NGramTokenizer
-
Returns a string describing the stemmer
- globalInfo() - Method in class weka.core.tokenizers.Tokenizer
-
Returns a string describing the stemmer
- globalInfo() - Method in class weka.core.tokenizers.WordTokenizer
-
Returns a string describing the stemmer
- globalInfo() - Method in class weka.datagenerators.classifiers.classification.Agrawal
-
Returns a string describing this data generator.
- globalInfo() - Method in class weka.datagenerators.classifiers.classification.BayesNet
-
Returns a string describing this data generator.
- globalInfo() - Method in class weka.datagenerators.classifiers.classification.LED24
-
Returns a string describing this data generator.
- globalInfo() - Method in class weka.datagenerators.classifiers.classification.RandomRBF
-
Returns a string describing this data generator.
- globalInfo() - Method in class weka.datagenerators.classifiers.classification.RDG1
-
Returns a string describing this data generator.
- globalInfo() - Method in class weka.datagenerators.classifiers.regression.Expression
-
Returns a string describing this data generator.
- globalInfo() - Method in class weka.datagenerators.classifiers.regression.MexicanHat
-
Returns a string describing this data generator.
- globalInfo() - Method in class weka.datagenerators.ClusterDefinition
-
Returns a string describing this data generator.
- globalInfo() - Method in class weka.datagenerators.clusterers.BIRCHCluster
-
Returns a string describing this data generator.
- globalInfo() - Method in class weka.datagenerators.clusterers.SubspaceCluster
-
Returns a string describing this data generator.
- globalInfo() - Method in class weka.datagenerators.clusterers.SubspaceClusterDefinition
-
Returns a string describing this data generator.
- globalInfo() - Method in class weka.estimators.UnivariateEqualFrequencyHistogramEstimator
-
Returns a string describing the estimator.
- globalInfo() - Method in class weka.estimators.UnivariateKernelEstimator
-
Returns a string describing the estimator.
- globalInfo() - Method in class weka.estimators.UnivariateMixtureEstimator
-
Returns a string describing the estimator.
- globalInfo() - Method in class weka.estimators.UnivariateNormalEstimator
-
Returns a string describing the estimator.
- globalInfo() - Method in class weka.experiment.AveragingResultProducer
-
Returns a string describing this result producer
- globalInfo() - Method in class weka.experiment.ClassifierSplitEvaluator
-
Returns a string describing this split evaluator
- globalInfo() - Method in class weka.experiment.CostSensitiveClassifierSplitEvaluator
-
Returns a string describing this split evaluator
- globalInfo() - Method in class weka.experiment.CrossValidationResultProducer
-
Returns a string describing this result producer
- globalInfo() - Method in class weka.experiment.CrossValidationSplitResultProducer
-
Returns a string describing this result producer
- globalInfo() - Method in class weka.experiment.CSVResultListener
-
Returns a string describing this result listener
- globalInfo() - Method in class weka.experiment.DatabaseResultListener
-
Returns a string describing this result listener
- globalInfo() - Method in class weka.experiment.DatabaseResultProducer
-
Returns a string describing this result producer
- globalInfo() - Method in class weka.experiment.DensityBasedClustererSplitEvaluator
-
Returns a string describing this split evaluator
- globalInfo() - Method in class weka.experiment.ExplicitTestsetResultProducer
-
Returns a string describing this result producer.
- globalInfo() - Method in class weka.experiment.InstancesResultListener
-
Returns a string describing this result listener
- globalInfo() - Method in class weka.experiment.LearningRateResultProducer
-
Returns a string describing this result producer
- globalInfo() - Method in class weka.experiment.RandomSplitResultProducer
-
Returns a string describing this result producer
- globalInfo() - Method in class weka.experiment.RegressionSplitEvaluator
-
Returns a string describing this split evaluator
- globalInfo() - Method in class weka.experiment.ResultMatrix
-
Returns a string describing the matrix.
- globalInfo() - Method in class weka.experiment.ResultMatrixCSV
-
Returns a string describing the matrix.
- globalInfo() - Method in class weka.experiment.ResultMatrixGnuPlot
-
Returns a string describing the matrix.
- globalInfo() - Method in class weka.experiment.ResultMatrixHTML
-
Returns a string describing the matrix.
- globalInfo() - Method in class weka.experiment.ResultMatrixLatex
-
Returns a string describing the matrix.
- globalInfo() - Method in class weka.experiment.ResultMatrixPlainText
-
Returns a string describing the matrix.
- globalInfo() - Method in class weka.experiment.ResultMatrixSignificance
-
Returns a string describing the matrix.
- globalInfo() - Method in class weka.filters.AllFilter
-
Returns a string describing this filter
- globalInfo() - Method in class weka.filters.MultiFilter
-
Returns a string describing this filter
- globalInfo() - Method in class weka.filters.RenameRelation
-
Returns a string describing this filter
- globalInfo() - Method in class weka.filters.SimpleFilter
-
Returns a string describing this filter.
- globalInfo() - Method in class weka.filters.supervised.attribute.AddClassification
-
Returns a string describing this filter.
- globalInfo() - Method in class weka.filters.supervised.attribute.AttributeSelection
-
Returns a string describing this filter
- globalInfo() - Method in class weka.filters.supervised.attribute.ClassConditionalProbabilities
-
Global help info for this method
- globalInfo() - Method in class weka.filters.supervised.attribute.ClassOrder
-
Returns a string describing this filter
- globalInfo() - Method in class weka.filters.supervised.attribute.Discretize
-
Returns a string describing this filter
- globalInfo() - Method in class weka.filters.supervised.attribute.MergeNominalValues
-
Returns a string describing this filter.
- globalInfo() - Method in class weka.filters.supervised.attribute.NominalToBinary
-
Returns a string describing this filter
- globalInfo() - Method in class weka.filters.supervised.attribute.PartitionMembership
-
Returns a string describing this filter
- globalInfo() - Method in class weka.filters.supervised.instance.ClassBalancer
-
Returns a string describing this filter.
- globalInfo() - Method in class weka.filters.supervised.instance.Resample
-
Returns a string describing this filter.
- globalInfo() - Method in class weka.filters.supervised.instance.SpreadSubsample
-
Returns a string describing this filter
- globalInfo() - Method in class weka.filters.supervised.instance.StratifiedRemoveFolds
-
Returns a string describing this filter
- globalInfo() - Method in class weka.filters.unsupervised.attribute.Add
-
Returns a string describing this filter.
- globalInfo() - Method in class weka.filters.unsupervised.attribute.AddCluster
-
Returns a string describing this filter.
- globalInfo() - Method in class weka.filters.unsupervised.attribute.AddExpression
-
Returns a string describing this filter
- globalInfo() - Method in class weka.filters.unsupervised.attribute.AddID
-
Returns a string describing this filter
- globalInfo() - Method in class weka.filters.unsupervised.attribute.AddNoise
-
Returns a string describing this filter
- globalInfo() - Method in class weka.filters.unsupervised.attribute.AddUserFields
-
Returns a string describing this filter
- globalInfo() - Method in class weka.filters.unsupervised.attribute.AddValues
-
Returns a string describing this filter
- globalInfo() - Method in class weka.filters.unsupervised.attribute.CartesianProduct
-
Returns a string describing this filter
- globalInfo() - Method in class weka.filters.unsupervised.attribute.Center
-
Returns a string describing this filter
- globalInfo() - Method in class weka.filters.unsupervised.attribute.ChangeDateFormat
-
Returns a string describing this filter
- globalInfo() - Method in class weka.filters.unsupervised.attribute.ClassAssigner
-
Returns a string describing this classifier.
- globalInfo() - Method in class weka.filters.unsupervised.attribute.ClusterMembership
-
Returns a string describing this filter
- globalInfo() - Method in class weka.filters.unsupervised.attribute.Copy
-
Returns a string describing this filter
- globalInfo() - Method in class weka.filters.unsupervised.attribute.DateToNumeric
-
Returns a string describing this filter
- globalInfo() - Method in class weka.filters.unsupervised.attribute.Discretize
-
Returns a string describing this filter
- globalInfo() - Method in class weka.filters.unsupervised.attribute.FirstOrder
-
Returns a string describing this filter
- globalInfo() - Method in class weka.filters.unsupervised.attribute.FixedDictionaryStringToWordVector
-
- globalInfo() - Method in class weka.filters.unsupervised.attribute.InterquartileRange
-
Returns a string describing this filter
- globalInfo() - Method in class weka.filters.unsupervised.attribute.KernelFilter
-
Returns a string describing this filter.
- globalInfo() - Method in class weka.filters.unsupervised.attribute.MakeIndicator
-
- globalInfo() - Method in class weka.filters.unsupervised.attribute.MathExpression
-
Returns a string describing this filter
- globalInfo() - Method in class weka.filters.unsupervised.attribute.MergeInfrequentNominalValues
-
Returns a string describing this filter.
- globalInfo() - Method in class weka.filters.unsupervised.attribute.MergeManyValues
-
Returns a string describing this filter
- globalInfo() - Method in class weka.filters.unsupervised.attribute.MergeTwoValues
-
Returns a string describing this filter
- globalInfo() - Method in class weka.filters.unsupervised.attribute.NominalToBinary
-
Returns a string describing this filter
- globalInfo() - Method in class weka.filters.unsupervised.attribute.NominalToString
-
Returns a string describing this filter
- globalInfo() - Method in class weka.filters.unsupervised.attribute.Normalize
-
Returns a string describing this filter.
- globalInfo() - Method in class weka.filters.unsupervised.attribute.NumericCleaner
-
Returns a string describing this filter.
- globalInfo() - Method in class weka.filters.unsupervised.attribute.NumericToBinary
-
Returns a string describing this filter
- globalInfo() - Method in class weka.filters.unsupervised.attribute.NumericToDate
-
Returns a string describing this filter
- globalInfo() - Method in class weka.filters.unsupervised.attribute.NumericToNominal
-
Returns a string describing this filter
- globalInfo() - Method in class weka.filters.unsupervised.attribute.NumericTransform
-
Returns a string describing this filter
- globalInfo() - Method in class weka.filters.unsupervised.attribute.Obfuscate
-
Returns a string describing this filter
- globalInfo() - Method in class weka.filters.unsupervised.attribute.OrdinalToNumeric
-
Returns a string describing this filter
- globalInfo() - Method in class weka.filters.unsupervised.attribute.PartitionedMultiFilter
-
Returns a string describing this filter.
- globalInfo() - Method in class weka.filters.unsupervised.attribute.PKIDiscretize
-
Returns a string describing this filter
- globalInfo() - Method in class weka.filters.unsupervised.attribute.PrincipalComponents
-
Returns a string describing this filter.
- globalInfo() - Method in class weka.filters.unsupervised.attribute.RandomProjection
-
Returns a string describing this filter
- globalInfo() - Method in class weka.filters.unsupervised.attribute.RandomSubset
-
Returns a string describing this filter.
- globalInfo() - Method in class weka.filters.unsupervised.attribute.Remove
-
Returns a string describing this filter
- globalInfo() - Method in class weka.filters.unsupervised.attribute.RemoveByName
-
Returns a string describing this classifier.
- globalInfo() - Method in class weka.filters.unsupervised.attribute.RemoveType
-
Returns a string describing this filter
- globalInfo() - Method in class weka.filters.unsupervised.attribute.RemoveUseless
-
Returns a string describing this filter
- globalInfo() - Method in class weka.filters.unsupervised.attribute.RenameAttribute
-
Returns a string describing this filter.
- globalInfo() - Method in class weka.filters.unsupervised.attribute.RenameNominalValues
-
Global help info
- globalInfo() - Method in class weka.filters.unsupervised.attribute.Reorder
-
Returns a string describing this filter
- globalInfo() - Method in class weka.filters.unsupervised.attribute.ReplaceMissingValues
-
Returns a string describing this filter
- globalInfo() - Method in class weka.filters.unsupervised.attribute.ReplaceMissingWithUserConstant
-
Returns a string describing this filter
- globalInfo() - Method in class weka.filters.unsupervised.attribute.ReplaceWithMissingValue
-
Returns a string describing this filter.
- globalInfo() - Method in class weka.filters.unsupervised.attribute.SortLabels
-
Returns a string describing this filter.
- globalInfo() - Method in class weka.filters.unsupervised.attribute.Standardize
-
Returns a string describing this filter
- globalInfo() - Method in class weka.filters.unsupervised.attribute.StringToNominal
-
Returns a string describing this filter
- globalInfo() - Method in class weka.filters.unsupervised.attribute.StringToWordVector
-
Returns a string describing this filter.
- globalInfo() - Method in class weka.filters.unsupervised.attribute.SwapValues
-
Returns a string describing this filter
- globalInfo() - Method in class weka.filters.unsupervised.attribute.TimeSeriesDelta
-
Returns a string describing this classifier
- globalInfo() - Method in class weka.filters.unsupervised.attribute.TimeSeriesTranslate
-
Returns a string describing this classifier
- globalInfo() - Method in class weka.filters.unsupervised.attribute.Transpose
-
Returns a string describing this filter.
- globalInfo() - Method in class weka.filters.unsupervised.instance.NonSparseToSparse
-
Returns a string describing this filter
- globalInfo() - Method in class weka.filters.unsupervised.instance.Randomize
-
Returns a string describing this classifier
- globalInfo() - Method in class weka.filters.unsupervised.instance.RemoveDuplicates
-
Returns a string describing this filter.
- globalInfo() - Method in class weka.filters.unsupervised.instance.RemoveFolds
-
Returns a string describing this filter
- globalInfo() - Method in class weka.filters.unsupervised.instance.RemoveFrequentValues
-
Returns a string describing this filter
- globalInfo() - Method in class weka.filters.unsupervised.instance.RemoveMisclassified
-
Returns a string describing this filter
- globalInfo() - Method in class weka.filters.unsupervised.instance.RemovePercentage
-
Returns a string describing this filter
- globalInfo() - Method in class weka.filters.unsupervised.instance.RemoveRange
-
Returns a string describing this filter
- globalInfo() - Method in class weka.filters.unsupervised.instance.RemoveWithValues
-
Returns a string describing this classifier
- globalInfo() - Method in class weka.filters.unsupervised.instance.Resample
-
Returns a string describing this classifier
- globalInfo() - Method in class weka.filters.unsupervised.instance.ReservoirSample
-
Returns a string describing this filter
- globalInfo() - Method in class weka.filters.unsupervised.instance.SparseToNonSparse
-
Returns a string describing this filter
- globalInfo() - Method in class weka.filters.unsupervised.instance.SubsetByExpression
-
Returns a string describing this filter.
- globalInfo() - Method in class weka.gui.beans.Associator
-
Global info (if it exists) for the wrapped classifier
- globalInfo() - Method in class weka.gui.beans.AttributeSummarizer
-
Global info for this bean
- globalInfo() - Method in class weka.gui.beans.ClassAssigner
-
Global info for this bean
- globalInfo() - Method in class weka.gui.beans.Classifier
-
Global info (if it exists) for the wrapped classifier
- globalInfo() - Method in class weka.gui.beans.ClassifierPerformanceEvaluator
-
Global info for this bean
- globalInfo() - Method in class weka.gui.beans.ClassValuePicker
-
Global info for this bean
- globalInfo() - Method in class weka.gui.beans.Clusterer
-
Global info (if it exists) for the wrapped classifier
- globalInfo() - Method in class weka.gui.beans.ClustererPerformanceEvaluator
-
Global info for this bean
- globalInfo() - Method in class weka.gui.beans.CostBenefitAnalysis
-
Global info for this bean
- globalInfo() - Method in class weka.gui.beans.CrossValidationFoldMaker
-
Global info for this bean
- globalInfo() - Method in class weka.gui.beans.DataVisualizer
-
Global info for this bean
- globalInfo() - Method in class weka.gui.beans.Filter
-
Global info (if it exists) for the wrapped filter
- globalInfo() - Method in class weka.gui.beans.FlowByExpression
-
- globalInfo() - Method in class weka.gui.beans.GraphViewer
-
Global info for this bean
- globalInfo() - Method in class weka.gui.beans.ImageSaver
-
Global info for this bean
- globalInfo() - Method in class weka.gui.beans.ImageViewer
-
Global info for this bean
- globalInfo() - Method in class weka.gui.beans.IncrementalClassifierEvaluator
-
Global info for this bean
- globalInfo() - Method in class weka.gui.beans.Join
-
Global info for the method
- globalInfo() - Method in class weka.gui.beans.Loader
-
Global info (if it exists) for the wrapped loader
- globalInfo() - Method in class weka.gui.beans.ModelPerformanceChart
-
Global info for this bean
- globalInfo() - Method in class weka.gui.beans.PredictionAppender
-
Global description of this bean
- globalInfo() - Method in class weka.gui.beans.Saver
-
Global info (if it exists) for the wrapped loader
- globalInfo() - Method in class weka.gui.beans.ScatterPlotMatrix
-
Global info for this bean
- globalInfo() - Method in class weka.gui.beans.SerializedModelSaver
-
Global info for this bean.
- globalInfo() - Method in class weka.gui.beans.Sorter
-
Help information suitable for displaying in the GUI.
- globalInfo() - Method in class weka.gui.beans.StripChart
-
Global info for this bean
- globalInfo() - Method in class weka.gui.beans.SubstringLabeler
-
Help information suitable for displaying in the GUI.
- globalInfo() - Method in class weka.gui.beans.SubstringReplacer
-
About information
- globalInfo() - Method in class weka.gui.beans.TestSetMaker
-
Global info for this bean
- globalInfo() - Method in class weka.gui.beans.TextSaver
-
Global info for this bean
- globalInfo() - Method in class weka.gui.beans.TextViewer
-
Global info for this bean
- globalInfo() - Method in class weka.gui.beans.TrainingSetMaker
-
Global info for this bean
- globalInfo() - Method in class weka.gui.beans.TrainTestSplitMaker
-
Global info for this bean
- globalInfo() - Method in class weka.gui.boundaryvisualizer.BoundaryVisualizer
-
Returns a string describing this tool
- globalInfo() - Method in class weka.knowledgeflow.steps.BaseStep
-
Attempt to get default "about" information for this step by grabbing the
toolTip from the KFStep annotation.
- globalInfo() - Method in class weka.knowledgeflow.steps.WekaAlgorithmWrapper
-
Get global "help" info.
- GLOBALINFO_ENDTAG - Static variable in class weka.core.GlobalInfoJavadoc
-
the end comment tag for inserting the generated Javadoc
- GLOBALINFO_METHOD - Static variable in class weka.core.GlobalInfoJavadoc
-
the globalInfo method name
- GLOBALINFO_STARTTAG - Static variable in class weka.core.GlobalInfoJavadoc
-
the start comment tag for inserting the generated Javadoc
- GlobalInfoJavadoc - Class in weka.core
-
Generates Javadoc comments from the class's globalInfo method.
- GlobalInfoJavadoc() - Constructor for class weka.core.GlobalInfoJavadoc
-
default constructor
- GlobalScoreSearchAlgorithm - Class in weka.classifiers.bayes.net.search.global
-
This Bayes Network learning algorithm uses cross
validation to estimate classification accuracy.
- GlobalScoreSearchAlgorithm() - Constructor for class weka.classifiers.bayes.net.search.global.GlobalScoreSearchAlgorithm
-
- goDown(String) - Method in class weka.gui.HierarchyPropertyParser
-
Go to a certain node of the tree down from the current node according to
the specified relative path.
- GOECustomizer - Interface in weka.gui.beans
-
Extends BeanCustomizer.
- GOEPanel() - Constructor for class weka.gui.GenericObjectEditor.GOEPanel
-
Creates the GUI editor component.
- GOEStepEditorDialog - Class in weka.gui.knowledgeflow
-
A step editor dialog that uses the GOE mechanism to provide property editors.
- GOEStepEditorDialog() - Constructor for class weka.gui.knowledgeflow.GOEStepEditorDialog
-
Constructor
- GOETreeNode() - Constructor for class weka.gui.GenericObjectEditor.GOETreeNode
-
Creates a tree node that has no parent and no children, but which allows
children.
- GOETreeNode(Object) - Constructor for class weka.gui.GenericObjectEditor.GOETreeNode
-
Creates a tree node with no parent, no children, but which allows
children, and initializes it with the specified user object.
- GOETreeNode(Object, boolean) - Constructor for class weka.gui.GenericObjectEditor.GOETreeNode
-
Creates a tree node with no parent, no children, initialized with the
specified user object, and that allows children only if specified.
- goTo(String) - Method in class weka.gui.HierarchyPropertyParser
-
Go to a certain node of the tree according to the specified path Note that
the path must be absolute path from the root.
- goToChild(String) - Method in class weka.gui.HierarchyPropertyParser
-
Go to one child node from the current position in the tree according to the
given value
If the child node with the given value cannot be found it returns false,
true otherwise.
- goToChild(int) - Method in class weka.gui.HierarchyPropertyParser
-
Go to one child node from the current position in the tree according to the
given position
- goToParent() - Method in class weka.gui.HierarchyPropertyParser
-
Go to the parent from the current position in the tree If the current
position is the root, it stays there and does not move
- goToRoot() - Method in class weka.gui.HierarchyPropertyParser
-
Go to the root of the tree
- GPCIgnore - Annotation Type in weka.gui
-
Marker annotation.
- gr(double, double) - Static method in class weka.core.Utils
-
Tests if a is greater than b.
- gracePeriodTipText() - Method in class weka.classifiers.trees.HoeffdingTree
-
Returns the tip text for this property
- graph(FPGrowth.FPTreeRoot) - Method in class weka.associations.FPGrowth
-
Assemble a dot graph representation of the FP-tree.
- graph() - Method in class weka.classifiers.bayes.BayesNet
-
Returns a BayesNet graph in XMLBIF ver 0.3 format.
- graph() - Method in class weka.classifiers.meta.AttributeSelectedClassifier
-
Returns graph describing the classifier (if possible).
- graph() - Method in class weka.classifiers.meta.CostSensitiveClassifier
-
Returns graph describing the classifier (if possible).
- graph() - Method in class weka.classifiers.meta.CVParameterSelection
-
Returns graph describing the classifier (if possible).
- graph() - Method in class weka.classifiers.meta.FilteredClassifier
-
Returns graph describing the classifier (if possible).
- graph() - Method in class weka.classifiers.misc.InputMappedClassifier
-
Returns graph describing the classifier (if possible).
- graph() - Method in class weka.classifiers.pmml.consumer.TreeModel
-
- graph() - Method in class weka.classifiers.trees.HoeffdingTree
-
- graph() - Method in class weka.classifiers.trees.j48.ClassifierTree
-
Returns graph describing the tree.
- graph() - Method in class weka.classifiers.trees.J48
-
Returns graph describing the tree.
- graph() - Method in class weka.classifiers.trees.j48.NBTreeClassifierTree
-
Returns graph describing the tree.
- graph() - Method in class weka.classifiers.trees.LMT
-
Returns graph describing the tree.
- graph() - Method in class weka.classifiers.trees.lmt.LMTNode
-
Returns graph describing the tree.
- graph(StringBuffer) - Method in class weka.classifiers.trees.m5.RuleNode
-
Assign a unique identifier to each node in the tree and then calls
graphTree
- graph() - Method in class weka.classifiers.trees.M5P
-
Return a dot style String describing the tree.
- graph() - Method in class weka.classifiers.trees.RandomTree
-
Returns graph describing the tree.
- graph() - Method in class weka.classifiers.trees.REPTree
-
Outputs the decision tree as a graph
- graph() - Method in class weka.clusterers.Cobweb
-
Generates the graph string of the Cobweb tree
- graph() - Method in class weka.clusterers.FilteredClusterer
-
Returns graph describing the clusterer (if possible).
- graph() - Method in class weka.clusterers.HierarchicalClusterer
-
- graph() - Method in interface weka.core.Drawable
-
Returns a string that describes a graph representing
the object.
- GraphConstants - Interface in weka.gui.graphvisualizer
-
GraphConstants.java
- GraphEdge - Class in weka.gui.graphvisualizer
-
This class represents an edge in the graph
- GraphEdge(int, int, int) - Constructor for class weka.gui.graphvisualizer.GraphEdge
-
- GraphEdge(int, int, int, String, String) - Constructor for class weka.gui.graphvisualizer.GraphEdge
-
- GraphEvent - Class in weka.gui.beans
-
Event for graphs
- GraphEvent(Object, String, String, int) - Constructor for class weka.gui.beans.GraphEvent
-
Creates a new GraphEvent
instance.
- GraphicalEnvironmentCommandHandler - Interface in weka.gui.knowledgeflow
-
Interface for graphical command handlers
- GraphListener - Interface in weka.gui.beans
-
Describe interface TextListener
here.
- GraphNode - Class in weka.gui.graphvisualizer
-
This class represents a node in the Graph.
- GraphNode(String, String) - Constructor for class weka.gui.graphvisualizer.GraphNode
-
Constructor
- GraphNode(String, String, int) - Constructor for class weka.gui.graphvisualizer.GraphNode
-
Constructor
- graphTree(StringBuffer) - Method in class weka.classifiers.trees.ht.HNode
-
- graphTree(StringBuffer) - Method in class weka.classifiers.trees.ht.SplitNode
-
- graphType() - Method in class weka.classifiers.bayes.BayesNet
-
Returns the type of graph this classifier represents.
- graphType() - Method in class weka.classifiers.meta.AttributeSelectedClassifier
-
Returns the type of graph this classifier
represents.
- graphType() - Method in class weka.classifiers.meta.CostSensitiveClassifier
-
Returns the type of graph this classifier
represents.
- graphType() - Method in class weka.classifiers.meta.CVParameterSelection
-
Returns the type of graph this classifier
represents.
- graphType() - Method in class weka.classifiers.meta.FilteredClassifier
-
Returns the type of graph this classifier represents.
- graphType() - Method in class weka.classifiers.misc.InputMappedClassifier
-
Returns the type of graph this classifier represents.
- graphType() - Method in class weka.classifiers.pmml.consumer.TreeModel
-
- graphType() - Method in class weka.classifiers.trees.HoeffdingTree
-
- graphType() - Method in class weka.classifiers.trees.j48.ClassifierTree
-
Returns the type of graph this classifier represents.
- graphType() - Method in class weka.classifiers.trees.J48
-
Returns the type of graph this classifier represents.
- graphType() - Method in class weka.classifiers.trees.LMT
-
Returns the type of graph this classifier represents.
- graphType() - Method in class weka.classifiers.trees.M5P
-
Returns the type of graph this classifier represents.
- graphType() - Method in class weka.classifiers.trees.RandomTree
-
Returns the type of graph this classifier represents.
- graphType() - Method in class weka.classifiers.trees.REPTree
-
Returns the type of graph this classifier represents.
- graphType() - Method in class weka.clusterers.Cobweb
-
Returns the type of graphs this class represents
- graphType() - Method in class weka.clusterers.FilteredClusterer
-
Returns the type of graph this clusterer represents.
- graphType() - Method in class weka.clusterers.HierarchicalClusterer
-
- graphType() - Method in interface weka.core.Drawable
-
Returns the type of graph representing
the object.
- GraphViewer - Class in weka.gui.beans
-
A bean encapsulating weka.gui.treevisualize.TreeVisualizer
- GraphViewer() - Constructor for class weka.gui.beans.GraphViewer
-
- GraphViewer - Class in weka.knowledgeflow.steps
-
Step for collecting and visualizing graph output from Drawable schemes.
- GraphViewer() - Constructor for class weka.knowledgeflow.steps.GraphViewer
-
- GraphViewerBeanInfo - Class in weka.gui.beans
-
Bean info class for the graph viewer
- GraphViewerBeanInfo() - Constructor for class weka.gui.beans.GraphViewerBeanInfo
-
- GraphViewerInteractiveView - Class in weka.gui.knowledgeflow.steps
-
Interactive viewer for the GraphViewer step.
- GraphViewerInteractiveView() - Constructor for class weka.gui.knowledgeflow.steps.GraphViewerInteractiveView
-
- GraphVisualizePlugin - Interface in weka.gui.visualize.plugins
-
Interface implemented by classes loaded dynamically to
visualize graphs in the explorer.
- GraphVisualizer - Class in weka.gui.graphvisualizer
-
This class displays the graph we want to visualize.
- GraphVisualizer() - Constructor for class weka.gui.graphvisualizer.GraphVisualizer
-
Constructor
Sets up the gui and initializes all the other previously uninitialized
variables.
- greaterEqual(Node, Node) - Static method in class weka.core.expressionlanguage.common.Operators
-
'>=
' greater equal operator
- greaterThan(Node, Node) - Static method in class weka.core.expressionlanguage.common.Operators
-
'>
' greater than operator
- GreedyStepwise - Class in weka.attributeSelection
-
GreedyStepwise :
Performs a greedy forward or backward search through the space of attribute
subsets.
- GreedyStepwise() - Constructor for class weka.attributeSelection.GreedyStepwise
-
Constructor
- GRID - Static variable in class weka.datagenerators.clusterers.BIRCHCluster
-
Constant set for choice of pattern.
- GRID_COLOR - Static variable in class weka.knowledgeflow.KFDefaults
-
- GRID_COLOR_KEY - Static variable in class weka.knowledgeflow.KFDefaults
-
- GRID_SPACING - Static variable in class weka.knowledgeflow.KFDefaults
-
- GRID_SPACING_KEY - Static variable in class weka.knowledgeflow.KFDefaults
-
- Groovy - Class in weka.core.scripting
-
- Groovy() - Constructor for class weka.core.scripting.Groovy
-
default constructor, tries to instantiate a Groovy classloader.
- GroovyPanel - Class in weka.gui.scripting
-
- GroovyPanel() - Constructor for class weka.gui.scripting.GroovyPanel
-
- GroovyScript - Class in weka.gui.scripting
-
- GroovyScript() - Constructor for class weka.gui.scripting.GroovyScript
-
Initializes the script.
- GroovyScript(Document) - Constructor for class weka.gui.scripting.GroovyScript
-
Initializes the script.
- GroovyScript(Document, File) - Constructor for class weka.gui.scripting.GroovyScript
-
Initializes the script.
- GroovyScript.GroovyThread - Class in weka.gui.scripting
-
Executes a Groovy script in a thread.
- GroovyThread(Script, String[]) - Constructor for class weka.gui.scripting.GroovyScript.GroovyThread
-
Initializes the thread.
- grOrEq(double, double) - Static method in class weka.core.Utils
-
Tests if a is greater or equal to b.
- grouping(boolean) - Method in class weka.core.matrix.FlexibleDecimalFormat
-
- grow(Instances) - Method in class weka.classifiers.rules.JRip.RipperRule
-
Build one rule using the growing data
- grow(Instances) - Method in class weka.classifiers.rules.Rule
-
Build this rule
- GT - Static variable in interface weka.core.expressionlanguage.parser.sym
-
- GUI - Class in weka.classifiers.bayes.net
-
GUI interface to Bayesian Networks.
- GUI() - Constructor for class weka.classifiers.bayes.net.GUI
-
Constructor
Sets up the gui and initializes all the other previously uninitialized
variables.
- GUI_MDI - Static variable in class weka.gui.Main
-
displays the GUI as MDI.
- GUI_SDI - Static variable in class weka.gui.Main
-
displays the GUI as SDI.
- GUIApplication - Interface in weka.gui
-
Interface to a GUIApplication that can have multiple "perspectives" and
provide application-level and perspective-level settings.
- GUIChooser - Class in weka.gui
-
Launcher class for the Weka GUIChooser.
- GUIChooser() - Constructor for class weka.gui.GUIChooser
-
- GUIChooser.GUIChooserMenuPlugin - Interface in weka.gui
-
Interface for plugin components that can be accessed from either the
Visualization or Tools menu.
- GUIChooser.GUIChooserMenuPlugin.Menu - Enum in weka.gui
-
Enum listing possible menus that plugins can appear in
- GUIChooserApp - Class in weka.gui
-
The main class for the Weka GUIChooser.
- GUIChooserApp() - Constructor for class weka.gui.GUIChooserApp
-
Creates the experiment environment gui with no initial experiment
- GUIChooserApp.ChildFrameSDI - Class in weka.gui
-
Specialized JFrame class.
- GUIChooserApp.GUIChooserDefaults - Class in weka.gui
-
Inner class for defaults
- GUIChooserDefaults() - Constructor for class weka.gui.GUIChooserApp.GUIChooserDefaults
-
Constructor
- GUIEDITORS_PROPERTY_FILE - Static variable in class weka.gui.GenericObjectEditor
-
the properties files containing the class/editor mappings.
- GUITipText() - Method in class weka.classifiers.functions.MultilayerPerceptron
-
- s_atLeastOnePackageUpgradeHasOccurredInThisSession - Static variable in class weka.gui.PackageManager
-
- s_fileFormatsAvailable - Static variable in class weka.gui.beans.SerializedModelSaver
-
Available file formats.
- s_numericAfterDecimalPoint - Static variable in class weka.core.AbstractInstance
-
Default max number of digits after the decimal point for numeric values
- s_startupListeners - Static variable in class weka.gui.beans.KnowledgeFlowApp
-
- SAMPLE_SIZE_NAME - Static variable in class weka.classifiers.evaluation.ThresholdCurve
-
attribute name: Sample Size
- sampleSizePercentTipText() - Method in class weka.filters.supervised.instance.Resample
-
Returns the tip text for this property.
- sampleSizePercentTipText() - Method in class weka.filters.unsupervised.instance.Resample
-
Returns the tip text for this property
- sampleSizeTipText() - Method in class weka.attributeSelection.ReliefFAttributeEval
-
Returns the tip text for this property
- sampleSizeTipText() - Method in class weka.filters.unsupervised.instance.ReservoirSample
-
Returns the tip text for this property
- save(StringBuffer) - Method in class weka.gui.SaveBuffer
-
Save a buffer
- save() - Method in class weka.gui.scripting.Script
-
Saves the file under with the current filename.
- save(File, String) - Static method in class weka.gui.scripting.ScriptUtils
-
Saves the content to a file.
- SAVE_DIALOG - Static variable in class weka.gui.knowledgeflow.KFGUIConsts
-
Constant for a save dialog (same as JFileChooser.SAVE_DIALOG)
- saveAs(File) - Method in class weka.gui.scripting.Script
-
Saves the file under with the given filename (and updates the internal
filename).
- saveBatch() - Method in class weka.gui.beans.Saver
-
Saves instances in batch mode
- saveBinary(File, Object, Instances) - Static method in class weka.gui.beans.SerializedModelSaver
-
Save a model in binary form.
- SaveBuffer - Class in weka.gui
-
This class handles the saving of StringBuffers to files.
- SaveBuffer(Logger, Component) - Constructor for class weka.gui.SaveBuffer
-
Constructor
- saveClassifier(String, Classifier, Instances) - Method in class weka.gui.explorer.ClassifierPanel
-
Saves the currently selected classifier.
- saveComponent() - Method in class weka.gui.visualize.PrintableComponent
-
displays a save dialog for saving the panel to a file.
- saveComponent() - Method in interface weka.gui.visualize.PrintableHandler
-
displays a save dialog for saving the component to a file.
- saveComponent() - Method in class weka.gui.visualize.PrintablePanel
-
displays a save dialog for saving the panel to a file.
- saveDictionary(String, boolean) - Method in class weka.core.DictionaryBuilder
-
Save the dictionary
- saveDictionary(File, boolean) - Method in class weka.core.DictionaryBuilder
-
Save a dictionary
- saveDictionary(Writer) - Method in class weka.core.DictionaryBuilder
-
Save the dictionary in textual format
- saveDictionary(OutputStream) - Method in class weka.core.DictionaryBuilder
-
Save the dictionary in binary form
- saveDictionaryInBinaryFormTipText() - Method in class weka.filters.unsupervised.attribute.StringToWordVector
-
- saveFile() - Method in class weka.gui.arffviewer.ArffViewerMainPanel
-
saves the current data into a file
- saveFileAs() - Method in class weka.gui.arffviewer.ArffViewerMainPanel
-
saves the current data into a new file
- saveFlow(File) - Method in class weka.knowledgeflow.Flow
-
Save this Flow to the supplied File
- saveInstanceDataTipText() - Method in class weka.classifiers.trees.J48
-
Returns the tip text for this property
- saveInstanceDataTipText() - Method in class weka.clusterers.Cobweb
-
Returns the tip text for this property
- saveInstancesTipText() - Method in class weka.classifiers.trees.M5P
-
Returns the tip text for this property
- saveInstancesToFile(AbstractFileSaver, Instances) - Method in class weka.gui.explorer.PreprocessPanel
-
saves the data with the specified saver
- saveKOML(File, Object, Instances) - Static method in class weka.gui.beans.SerializedModelSaver
-
Save a model in KOML deep object serialized XML form.
- saveLayout(File, int) - Method in class weka.gui.beans.KnowledgeFlowApp
-
- saveLayout(OutputStream, int) - Method in class weka.gui.beans.KnowledgeFlowApp
-
Save the knowledge flow into the OutputStream passed at input.
- saveModel() - Method in class weka.gui.beans.Classifier
-
- saveModel() - Method in class weka.gui.beans.Clusterer
-
- Saver - Interface in weka.core.converters
-
Interface to something that can save Instances to an output destination in some
format.
- Saver - Class in weka.gui.beans
-
Saves data sets using weka.core.converter classes
- Saver() - Constructor for class weka.gui.beans.Saver
-
Contsructor
- SAVER - Static variable in class weka.knowledgeflow.JSONFlowUtils
-
- Saver - Class in weka.knowledgeflow.steps
-
Step that wraps weka.core.converters.Saver classes
- Saver() - Constructor for class weka.knowledgeflow.steps.Saver
-
- SAVER_DIALOG - Static variable in class weka.gui.ConverterFileChooser
-
the saver dialog.
- SaverBeanInfo - Class in weka.gui.beans
-
Bean info class for the saver bean
- SaverBeanInfo() - Constructor for class weka.gui.beans.SaverBeanInfo
-
- SaverCustomizer - Class in weka.gui.beans
-
GUI Customizer for the saver bean
- SaverCustomizer() - Constructor for class weka.gui.beans.SaverCustomizer
-
Constructor
- SaverStepEditorDialog - Class in weka.gui.knowledgeflow.steps
-
Editor dialog for the saver step
- SaverStepEditorDialog() - Constructor for class weka.gui.knowledgeflow.steps.SaverStepEditorDialog
-
Constructor
- saveSettings() - Method in class weka.core.Settings
-
Save the settings to the metastore
- saveSize() - Method in class weka.gui.sql.SqlViewer
-
obtains the size of the panel and saves it in the history.
- saveToFile(String, Object) - Static method in class weka.core.Debug
-
writes the serialized object to the speicified file
- saveWeights() - Method in class weka.classifiers.functions.neural.NeuralConnection
-
Call this to have the connection save the current
weights.
- saveWeights() - Method in class weka.classifiers.functions.neural.NeuralNode
-
Call this to have the connection save the current
weights.
- saveWorkingInstancesToFileQ() - Method in class weka.gui.explorer.PreprocessPanel
-
Queries the user for a file to save instances as, then saves the instances
in a background process.
- saveXStream(File, Object, Instances) - Static method in class weka.gui.beans.SerializedModelSaver
-
Save a model in XStream deep object serialized XML form.
- scalarMultiply(double) - Method in class weka.core.AlgVector
-
Computes the scalar product of this vector with a scalar
- scale(int) - Method in class weka.gui.beans.BeanVisual
-
Reduce this BeanVisual's icon size by the given factor
- scale(double) - Method in class weka.gui.beans.BeanVisual
-
- scale(double, double) - Method in class weka.gui.visualize.PostscriptGraphics
-
- scaleIcon(ImageIcon, double) - Static method in class weka.gui.knowledgeflow.StepVisual
-
Scale the supplied icon by the given factor
- scaleTipText() - Method in class weka.filters.unsupervised.attribute.Normalize
-
Returns the tip text for this property.
- Scanner - Class in weka.core.expressionlanguage.parser
-
A lexical scanner for an expression language.
- Scanner(Reader) - Constructor for class weka.core.expressionlanguage.parser.Scanner
-
Creates a new scanner
- Scanner - Class in weka.core.json
-
A scanner for JSON data files.
- Scanner(InputStream, SymbolFactory) - Constructor for class weka.core.json.Scanner
-
- Scanner(Reader, SymbolFactory) - Constructor for class weka.core.json.Scanner
-
- Scanner(Reader) - Constructor for class weka.core.json.Scanner
-
Creates a new scanner
- ScatterDefaults() - Constructor for class weka.gui.explorer.VisualizePanel.ScatterDefaults
-
- ScatterPlotMatrix - Class in weka.gui.beans
-
Bean that encapsulates weka.gui.visualize.MatrixPanel for displaying a
scatter plot matrix.
- ScatterPlotMatrix() - Constructor for class weka.gui.beans.ScatterPlotMatrix
-
- ScatterPlotMatrix - Class in weka.knowledgeflow.steps
-
Step that collects data for display in a scatter plot matrix.
- ScatterPlotMatrix() - Constructor for class weka.knowledgeflow.steps.ScatterPlotMatrix
-
- ScatterPlotMatrixBeanInfo - Class in weka.gui.beans
-
Bean info class for the scatter plot matrix bean
- ScatterPlotMatrixBeanInfo() - Constructor for class weka.gui.beans.ScatterPlotMatrixBeanInfo
-
- ScatterPlotMatrixInteractiveView - Class in weka.gui.knowledgeflow.steps
-
Interactive viewer for the ScatterPlotMatrix step
- ScatterPlotMatrixInteractiveView() - Constructor for class weka.gui.knowledgeflow.steps.ScatterPlotMatrixInteractiveView
-
- ScatterPlotMatrixPerspective - Class in weka.gui.knowledgeflow
-
Knowledge Flow perspective for the scatter plot matrix
- ScatterPlotMatrixPerspective() - Constructor for class weka.gui.knowledgeflow.ScatterPlotMatrixPerspective
-
Constructor
- Scoreable - Interface in weka.classifiers.bayes.net.search.local
-
Interface for allowing to score a classifier
- Scorecard - Class in weka.core.pmml.jaxbbindings
-
Java class for Scorecard element declaration.
- Scorecard() - Constructor for class weka.core.pmml.jaxbbindings.Scorecard
-
- ScoreDistribution - Class in weka.core.pmml.jaxbbindings
-
Java class for ScoreDistribution element declaration.
- ScoreDistribution() - Constructor for class weka.core.pmml.jaxbbindings.ScoreDistribution
-
- scoreTypeTipText() - Method in class weka.classifiers.bayes.net.search.local.LocalScoreSearchAlgorithm
-
- Script - Class in weka.gui.scripting
-
A simple helper class for loading, saving scripts.
- Script() - Constructor for class weka.gui.scripting.Script
-
Initializes the script.
- Script(Document) - Constructor for class weka.gui.scripting.Script
-
Initializes the script.
- Script(Document, File) - Constructor for class weka.gui.scripting.Script
-
Initializes the script.
- Script - Class in weka.gui.simplecli
-
Executes commands from a script file.
- Script() - Constructor for class weka.gui.simplecli.Script
-
- Script.ScriptThread - Class in weka.gui.scripting
-
The Thread for running a script.
- ScriptExecutionEvent - Class in weka.gui.scripting.event
-
Event that gets sent when a script is executed.
- ScriptExecutionEvent(Script, ScriptExecutionEvent.Type) - Constructor for class weka.gui.scripting.event.ScriptExecutionEvent
-
Initializes the event.
- ScriptExecutionEvent(Script, ScriptExecutionEvent.Type, Object) - Constructor for class weka.gui.scripting.event.ScriptExecutionEvent
-
Initializes the event.
- ScriptExecutionEvent.Type - Enum in weka.gui.scripting.event
-
Defines the type of event.
- ScriptExecutionListener - Interface in weka.gui.scripting.event
-
For classes that want to be notified about changes in the script execution.
- scriptFinished(ScriptExecutionEvent) - Method in interface weka.gui.scripting.event.ScriptExecutionListener
-
Gets sent when a script execution changes.
- scriptFinished(ScriptExecutionEvent) - Method in class weka.gui.scripting.FileScriptingPanel
-
Gets sent when a script finishes execution.
- ScriptingPanel - Class in weka.gui.scripting
-
Abstract ancestor for scripting panels.
- ScriptingPanel() - Constructor for class weka.gui.scripting.ScriptingPanel
-
Default constructor.
- ScriptThread(Script, String[]) - Constructor for class weka.gui.scripting.Script.ScriptThread
-
Initializes the thread.
- ScriptUtils - Class in weka.gui.scripting
-
A helper class for Script related stuff.
- ScriptUtils() - Constructor for class weka.gui.scripting.ScriptUtils
-
- SCROLL_BAR_INCREMENT_LAYOUT - Static variable in class weka.knowledgeflow.KFDefaults
-
- scrollToVisible(int, int) - Method in class weka.gui.JTableHelper
-
Assumes table is contained in a JScrollPane.
- scrollToVisible(JTable, int, int) - Static method in class weka.gui.JTableHelper
-
Assumes table is contained in a JScrollPane.
- search(ASEvaluation, Instances) - Method in class weka.attributeSelection.ASSearch
-
Searches the attribute subset/ranking space.
- search(ASEvaluation, Instances) - Method in class weka.attributeSelection.BestFirst
-
Searches the attribute subset space by best first search
- search(ASEvaluation, Instances) - Method in class weka.attributeSelection.GreedyStepwise
-
Searches the attribute subset space by forward selection.
- search(ASEvaluation, Instances) - Method in class weka.attributeSelection.Ranker
-
Kind of a dummy search algorithm.
- search(BayesNet, Instances) - Method in class weka.classifiers.bayes.net.search.global.K2
-
search determines the network structure/graph of the network with the K2
algorithm, restricted by its initial structure (which can be an empty
graph, or a Naive Bayes graph.
- search(BayesNet, Instances) - Method in class weka.classifiers.bayes.net.search.global.SimulatedAnnealing
-
- search(BayesNet, Instances) - Method in class weka.classifiers.bayes.net.search.local.K2
-
search determines the network structure/graph of the network with the K2
algorithm, restricted by its initial structure (which can be an empty
graph, or a Naive Bayes graph.
- search(BayesNet, Instances) - Method in class weka.classifiers.bayes.net.search.local.SimulatedAnnealing
-
- search() - Method in class weka.gui.arffviewer.ArffPanel
-
searches for a string in the cells
- search() - Method in class weka.gui.arffviewer.ArffViewerMainPanel
-
searches for a string in the cells
- search(Vector<HierarchyPropertyParser.TreeNode>, String) - Method in class weka.gui.HierarchyPropertyParser
-
Helper function to search for the given target string in a given vector in
which the elements' value may hopefully is equal to the target.
- SearchAlgorithm - Class in weka.classifiers.bayes.net.search
-
This is the base class for all search algorithms for learning Bayes networks.
- SearchAlgorithm() - Constructor for class weka.classifiers.bayes.net.search.SearchAlgorithm
-
c'tor
- searchAlgorithmTipText() - Method in class weka.classifiers.bayes.BayesNet
-
- searchBackwardsTipText() - Method in class weka.attributeSelection.GreedyStepwise
-
Returns the tip text for this property
- searchFinish() - Method in class weka.core.neighboursearch.PerformanceStats
-
Signals end of the nearest neighbour search.
- searchFinish() - Method in class weka.core.neighboursearch.TreePerformanceStats
-
Signals end of the nearest neighbour search.
- searchMethodTipText() - Method in class weka.core.neighboursearch.FilteredNeighbourSearch
-
Returns the tip text for this property
- searchPoints(int, int, boolean) - Method in class weka.gui.visualize.Plot2D
-
Pops up a window displaying attribute information on any instances at a
point+-plotting_point_size (in panel coordinates)
- searchStart() - Method in class weka.core.neighboursearch.PerformanceStats
-
Signals start of the nearest neighbour search.
- searchStart() - Method in class weka.core.neighboursearch.TreePerformanceStats
-
Signals start of the nearest neighbour search.
- searchTerminationTipText() - Method in class weka.attributeSelection.BestFirst
-
Returns the tip text for this property
- searchTipText() - Method in class weka.classifiers.meta.AttributeSelectedClassifier
-
Returns the tip text for this property
- searchTipText() - Method in class weka.classifiers.rules.DecisionTable
-
Returns the tip text for this property
- searchTipText() - Method in class weka.filters.supervised.attribute.AttributeSelection
-
Returns the tip text for this property
- SeasonalityExpoSmooth - Class in weka.core.pmml.jaxbbindings
-
Java class for Seasonality_ExpoSmooth element declaration.
- SeasonalityExpoSmooth() - Constructor for class weka.core.pmml.jaxbbindings.SeasonalityExpoSmooth
-
- secondInstanceProduced(InstanceEvent) - Method in class weka.gui.streams.InstanceJoiner
-
- secondInstanceProduced(InstanceEvent) - Method in interface weka.gui.streams.SerialInstanceListener
-
- secondValueIndexTipText() - Method in class weka.filters.unsupervised.attribute.MergeTwoValues
-
- secondValueIndexTipText() - Method in class weka.filters.unsupervised.attribute.SwapValues
-
- seedTipText() - Method in class weka.attributeSelection.ClassifierAttributeEval
-
Returns the tip text for this property
- seedTipText() - Method in class weka.attributeSelection.ClassifierSubsetEval
-
Returns the tip text for this property
- seedTipText() - Method in class weka.attributeSelection.OneRAttributeEval
-
Returns a string for this option suitable for display in the gui as a tip
text
- seedTipText() - Method in class weka.attributeSelection.ReliefFAttributeEval
-
Returns the tip text for this property
- seedTipText() - Method in class weka.attributeSelection.WrapperSubsetEval
-
Returns the tip text for this property
- seedTipText() - Method in class weka.classifiers.bayes.net.search.global.GeneticSearch
-
- seedTipText() - Method in class weka.classifiers.bayes.net.search.global.RepeatedHillClimber
-
- seedTipText() - Method in class weka.classifiers.bayes.net.search.global.SimulatedAnnealing
-
- seedTipText() - Method in class weka.classifiers.bayes.net.search.local.GeneticSearch
-
- seedTipText() - Method in class weka.classifiers.bayes.net.search.local.RepeatedHillClimber
-
- seedTipText() - Method in class weka.classifiers.bayes.net.search.local.SimulatedAnnealing
-
- seedTipText() - Method in class weka.classifiers.functions.MultilayerPerceptron
-
- seedTipText() - Method in class weka.classifiers.functions.supportVector.RegOptimizer
-
Returns the tip text for this property
- seedTipText() - Method in class weka.classifiers.functions.VotedPerceptron
-
Returns the tip text for this property
- seedTipText() - Method in class weka.classifiers.meta.MultiScheme
-
Returns the tip text for this property
- seedTipText() - Method in class weka.classifiers.RandomizableClassifier
-
Returns the tip text for this property
- seedTipText() - Method in class weka.classifiers.RandomizableIteratedSingleClassifierEnhancer
-
Returns the tip text for this property
- seedTipText() - Method in class weka.classifiers.RandomizableMultipleClassifiersCombiner
-
Returns the tip text for this property
- seedTipText() - Method in class weka.classifiers.RandomizableParallelIteratedSingleClassifierEnhancer
-
Returns the tip text for this property
- seedTipText() - Method in class weka.classifiers.RandomizableParallelMultipleClassifiersCombiner
-
Returns the tip text for this property
- seedTipText() - Method in class weka.classifiers.RandomizableSingleClassifierEnhancer
-
Returns the tip text for this property
- seedTipText() - Method in class weka.classifiers.rules.JRip
-
Returns the tip text for this property
- seedTipText() - Method in class weka.classifiers.rules.PART
-
Returns the tip text for this property
- seedTipText() - Method in class weka.classifiers.trees.J48
-
Returns the tip text for this property
- seedTipText() - Method in class weka.classifiers.trees.RandomTree
-
Returns the tip text for this property
- seedTipText() - Method in class weka.classifiers.trees.REPTree
-
Returns the tip text for this property
- seedTipText() - Method in class weka.clusterers.Cobweb
-
Returns the tip text for this property
- seedTipText() - Method in class weka.clusterers.RandomizableClusterer
-
Returns the tip text for this property
- seedTipText() - Method in class weka.clusterers.RandomizableDensityBasedClusterer
-
Returns the tip text for this property
- seedTipText() - Method in class weka.clusterers.RandomizableSingleClustererEnhancer
-
Returns the tip text for this property
- seedTipText() - Method in class weka.core.neighboursearch.balltrees.MiddleOutConstructor
-
Returns the tip text for this property.
- seedTipText() - Method in class weka.datagenerators.DataGenerator
-
Returns the tip text for this property
- seedTipText() - Method in class weka.estimators.UnivariateMixtureEstimator
-
Returns the tip text for this property
- seedTipText() - Method in class weka.filters.MultiFilter
-
Returns the tip text for this property
- seedTipText() - Method in class weka.filters.supervised.attribute.ClassOrder
-
Returns the tip text for this property
- seedTipText() - Method in class weka.filters.supervised.instance.StratifiedRemoveFolds
-
Returns the tip text for this property
- seedTipText() - Method in class weka.filters.unsupervised.attribute.RandomProjection
-
Returns the tip text for this property
- seedTipText() - Method in class weka.filters.unsupervised.attribute.RandomSubset
-
Returns the tip text for this property.
- seedTipText() - Method in class weka.filters.unsupervised.attribute.ReplaceWithMissingValue
-
Returns the tip text for this property
- seedTipText() - Method in class weka.filters.unsupervised.instance.RemoveFolds
-
Returns the tip text for this property
- seedTipText() - Method in class weka.gui.beans.CrossValidationFoldMaker
-
Tip text for this property
- seedTipText() - Method in class weka.gui.beans.TrainTestSplitMaker
-
Tip text for this property
- Segment - Class in weka.core.pmml.jaxbbindings
-
Java class for Segment element declaration.
- Segment() - Constructor for class weka.core.pmml.jaxbbindings.Segment
-
- Segmentation - Class in weka.core.pmml.jaxbbindings
-
Java class for Segmentation element declaration.
- Segmentation() - Constructor for class weka.core.pmml.jaxbbindings.Segmentation
-
- select(int, int[], int, int, int) - Method in class weka.core.neighboursearch.balltrees.MedianOfWidestDimension
-
Implements computation of the kth-smallest element according to Manber's
"Introduction to Algorithms".
- select(int, int[], int, int, int) - Method in class weka.core.neighboursearch.kdtrees.MedianOfWidestDimension
-
Implements computation of the kth-smallest element according
to Manber's "Introduction to Algorithms".
- select(String) - Method in class weka.experiment.DatabaseUtils
-
Executes a SQL SELECT query that returns a ResultSet.
- SelectAttributes(ASEvaluation, String[]) - Static method in class weka.attributeSelection.AttributeSelection
-
Perform attribute selection with a particular evaluator and a set of
options specifying search method and input file etc.
- SelectAttributes(Instances) - Method in class weka.attributeSelection.AttributeSelection
-
Perform attribute selection on the supplied training instances.
- SelectAttributes(ASEvaluation, String[], Instances) - Static method in class weka.attributeSelection.AttributeSelection
-
Perform attribute selection with a particular evaluator and a set of
options specifying search method and options for the search method and
evaluator.
- selectAttributesCVSplit(Instances) - Method in class weka.attributeSelection.AttributeSelection
-
Select attributes for a split of the data.
- selectedAttributes() - Method in class weka.attributeSelection.AttributeSelection
-
get the final selected set of attributes.
- selectedAttributesTipText() - Method in class weka.filters.unsupervised.attribute.RenameNominalValues
-
Returns the tip text for this property
- SelectedPerspectivePreferences() - Constructor for class weka.gui.PerspectiveManager.SelectedPerspectivePreferences
-
- SelectedTag - Class in weka.core
-
Represents a selected value from a finite set of values, where each
value is a Tag (i.e.
- SelectedTag(int, Tag[]) - Constructor for class weka.core.SelectedTag
-
Creates a new SelectedTag
instance.
- SelectedTag(String, Tag[]) - Constructor for class weka.core.SelectedTag
-
Creates a new SelectedTag
instance.
- SelectedTagEditor - Class in weka.gui
-
A PropertyEditor that uses tags, where the tags are obtained from a
weka.core.SelectedTag object.
- SelectedTagEditor() - Constructor for class weka.gui.SelectedTagEditor
-
- SELECTION_GREEDY - Static variable in class weka.classifiers.functions.LinearRegression
-
Attribute selection method: Greedy method
- SELECTION_M5 - Static variable in class weka.classifiers.functions.LinearRegression
-
Attribute selection method: M5 method
- SELECTION_NONE - Static variable in class weka.classifiers.functions.LinearRegression
-
Attribute selection method: No attribute selection
- selectModel(Instances) - Method in class weka.classifiers.trees.j48.BinC45ModelSelection
-
Selects C4.5-type split for the given dataset.
- selectModel(Instances, Instances) - Method in class weka.classifiers.trees.j48.BinC45ModelSelection
-
Selects C4.5-type split for the given dataset.
- selectModel(Instances) - Method in class weka.classifiers.trees.j48.C45ModelSelection
-
Selects C4.5-type split for the given dataset.
- selectModel(Instances, Instances) - Method in class weka.classifiers.trees.j48.C45ModelSelection
-
Selects C4.5-type split for the given dataset.
- selectModel(Instances) - Method in class weka.classifiers.trees.j48.ModelSelection
-
Selects a model for the given dataset.
- selectModel(Instances, Instances) - Method in class weka.classifiers.trees.j48.ModelSelection
-
Selects a model for the given train data using the given test data
- selectModel(Instances) - Method in class weka.classifiers.trees.j48.NBTreeModelSelection
-
Selects NBTree-type split for the given dataset.
- selectModel(Instances, Instances) - Method in class weka.classifiers.trees.j48.NBTreeModelSelection
-
Selects NBTree-type split for the given dataset.
- selectModel(Instances, double[][], double[][]) - Method in class weka.classifiers.trees.lmt.ResidualModelSelection
-
Selects split based on residuals for the given dataset.
- selectModel(Instances) - Method in class weka.classifiers.trees.lmt.ResidualModelSelection
-
Method not in use
- selectModel(Instances, Instances) - Method in class weka.classifiers.trees.lmt.ResidualModelSelection
-
Method not in use
- SemanticException - Exception in weka.core.expressionlanguage.core
-
An exception that should be used if a program doesn't have valid semantics
- SemanticException(String, Exception) - Constructor for exception weka.core.expressionlanguage.core.SemanticException
-
- SemanticException(String) - Constructor for exception weka.core.expressionlanguage.core.SemanticException
-
- SEND_INSTANCES - Static variable in class weka.gui.treevisualizer.TreeDisplayEvent
-
Command to remove instances from this node and send them to the
VisualizePanel.
- SEND_TO_PERSPECTIVE_COMMAND_KEY - Static variable in class weka.gui.knowledgeflow.SendToPerspectiveGraphicalCommand
-
Command ID
- SendToPerspective - Class in weka.knowledgeflow.steps
-
Step that can send incoming instances to a perspective.
- SendToPerspective() - Constructor for class weka.knowledgeflow.steps.SendToPerspective
-
- SendToPerspectiveGraphicalCommand - Class in weka.gui.knowledgeflow
-
Class implementing sending a set of Instances to a named perspective
- SendToPerspectiveGraphicalCommand() - Constructor for class weka.gui.knowledgeflow.SendToPerspectiveGraphicalCommand
-
- SendToPerspectiveStepEditorDialog - Class in weka.gui.knowledgeflow.steps
-
Dialog for the SendToPerspective step
- SendToPerspectiveStepEditorDialog() - Constructor for class weka.gui.knowledgeflow.steps.SendToPerspectiveStepEditorDialog
-
- SEP1 - Static variable in class weka.knowledgeflow.steps.SetVariables
-
Separators for internal variable specification
- SEP1 - Static variable in class weka.knowledgeflow.steps.StorePropertiesInEnvironment
-
Separators for internal variable specification
- SEP2 - Static variable in class weka.knowledgeflow.steps.SetVariables
-
- SEP2 - Static variable in class weka.knowledgeflow.steps.StorePropertiesInEnvironment
-
- SEP3 - Static variable in class weka.knowledgeflow.steps.SetVariables
-
- seq(int, int) - Static method in class weka.core.matrix.IntVector
-
Generates an IntVector that stores all integers inclusively between
two integers.
- Sequence - Class in weka.core.pmml.jaxbbindings
-
Java class for Sequence element declaration.
- Sequence() - Constructor for class weka.core.pmml.jaxbbindings.Sequence
-
- SequenceModel - Class in weka.core.pmml.jaxbbindings
-
Java class for SequenceModel element declaration.
- SequenceModel() - Constructor for class weka.core.pmml.jaxbbindings.SequenceModel
-
- SequenceReference - Class in weka.core.pmml.jaxbbindings
-
Java class for SequenceReference element declaration.
- SequenceReference() - Constructor for class weka.core.pmml.jaxbbindings.SequenceReference
-
- SequenceRule - Class in weka.core.pmml.jaxbbindings
-
Java class for SequenceRule element declaration.
- SequenceRule() - Constructor for class weka.core.pmml.jaxbbindings.SequenceRule
-
- SERIAL_VERSION_UID - Static variable in class weka.core.SerializationHelper
-
the field name of serialVersionUID.
- SerialInstanceListener - Interface in weka.gui.streams
-
Defines an interface for objects able to produce two output streams of
instances.
- SerializationHelper - Class in weka.core
-
A helper class for determining serialVersionUIDs and checking whether classes
contain one and/or need one.
- SerializationHelper() - Constructor for class weka.core.SerializationHelper
-
- serialize(Object) - Static method in class weka.core.xml.XStream
-
Serializes the supplied object xml
- SERIALIZED_OBJ_FILE_EXTENSION - Static variable in class weka.core.Instances
-
The filename extension that should be used for bin.
- SerializedClassifier - Class in weka.classifiers.misc
-
A wrapper around a serialized classifier model.
- SerializedClassifier() - Constructor for class weka.classifiers.misc.SerializedClassifier
-
- serializedClassifierFileTipText() - Method in class weka.filters.supervised.attribute.AddClassification
-
Returns the tip text for this property.
- serializedClustererFileTipText() - Method in class weka.filters.unsupervised.attribute.AddCluster
-
Returns the tip text for this property.
- SerializedInstancesLoader - Class in weka.core.converters
-
Reads a source that contains serialized Instances.
- SerializedInstancesLoader() - Constructor for class weka.core.converters.SerializedInstancesLoader
-
- SerializedInstancesSaver - Class in weka.core.converters
-
Serializes the instances to a file with extension bsi.
- SerializedInstancesSaver() - Constructor for class weka.core.converters.SerializedInstancesSaver
-
Constructor.
- SerializedModelSaver - Class in weka.gui.beans
-
A bean that saves serialized models
- SerializedModelSaver() - Constructor for class weka.gui.beans.SerializedModelSaver
-
Constructor.
- SerializedModelSaver - Class in weka.knowledgeflow.steps
-
Step that can save models encapsulated in incoming Data
objects to
the filesystem.
- SerializedModelSaver() - Constructor for class weka.knowledgeflow.steps.SerializedModelSaver
-
- SerializedModelSaverBeanInfo - Class in weka.gui.beans
-
Bean info class for the serialized model saver bean
- SerializedModelSaverBeanInfo() - Constructor for class weka.gui.beans.SerializedModelSaverBeanInfo
-
- SerializedModelSaverCustomizer - Class in weka.gui.beans
-
GUI Customizer for the SerializedModelSaver bean
- SerializedModelSaverCustomizer() - Constructor for class weka.gui.beans.SerializedModelSaverCustomizer
-
Constructor
- SerializedObject - Class in weka.core
-
Class for storing an object in serialized form in memory.
- SerializedObject(Object) - Constructor for class weka.core.SerializedObject
-
Creates a new serialized object (without compression).
- SerializedObject(Object, boolean) - Constructor for class weka.core.SerializedObject
-
Creates a new serialized object.
- serializePMMLModel(PMMLModel, String) - Static method in class weka.core.pmml.PMMLFactory
-
Serialize a PMMLModel
object that encapsulates a PMML model
- serializePMMLModel(PMMLModel, File) - Static method in class weka.core.pmml.PMMLFactory
-
Serialize a PMMLModel
object that encapsulates a PMML model
- serializePMMLModel(PMMLModel, OutputStream) - Static method in class weka.core.pmml.PMMLFactory
-
Serialize a PMMLModel
object that encapsulates a PMML model
- serializeStepsToJSON(List<StepVisual>, String) - Static method in class weka.gui.knowledgeflow.VisibleLayout
-
Utility method to serialize a list of steps (encapsulated in StepVisuals)
to a JSON flow.
- SerialUIDChanger - Class in weka.core.xml
-
This class enables one to change the UID of a serialized object and therefore
not losing the data stored in the binary format.
- SerialUIDChanger() - Constructor for class weka.core.xml.SerialUIDChanger
-
- serialVersionUID - Static variable in class weka.gui.explorer.VisualizePanel.ScatterDefaults
-
- set(int, Instance) - Method in class weka.core.Instances
-
Replaces the instance at the given position.
- set(int, double) - Method in class weka.core.matrix.DoubleVector
-
Set a single element.
- set(double) - Method in class weka.core.matrix.DoubleVector
-
Set all elements to a value
- set(int, int, double) - Method in class weka.core.matrix.DoubleVector
-
Set some elements to a value
- set(int, int, double[], int) - Method in class weka.core.matrix.DoubleVector
-
Set some elements using a 2-D array
- set(DoubleVector) - Method in class weka.core.matrix.DoubleVector
-
Set the elements using a DoubleVector
- set(int, int, DoubleVector, int) - Method in class weka.core.matrix.DoubleVector
-
Set some elements using a DoubleVector.
- set(int) - Method in class weka.core.matrix.IntVector
-
Sets the value of an element.
- set(int, int, int[], int) - Method in class weka.core.matrix.IntVector
-
Sets the values of elements from an int array.
- set(int, int, IntVector, int) - Method in class weka.core.matrix.IntVector
-
Sets the values of elements from another IntVector.
- set(IntVector) - Method in class weka.core.matrix.IntVector
-
Sets the values of elements from another IntVector.
- set(int, int) - Method in class weka.core.matrix.IntVector
-
Sets a single element.
- set(int, int, double) - Method in class weka.core.matrix.Matrix
-
Set a single element.
- set(int, T) - Method in class weka.core.neighboursearch.covertrees.Stack
-
Sets the ith element in the stack.
- set(int, Object) - Method in class weka.gui.CheckBoxList.CheckBoxListModel
-
Replaces the element at the specified position in this list with the
specified element.
- set(String, String) - Static method in class weka.gui.explorer.ExplorerDefaults
-
- Set - Class in weka.gui.simplecli
-
Sets a variable.
- Set() - Constructor for class weka.gui.simplecli.Set
-
- SET_SYSTEM_PROPERTIES_KEY - Static variable in class weka.core.WekaPackageManager
-
Package metadata key for setting system properties
- setAbsoluteValue(Double) - Method in class weka.core.pmml.jaxbbindings.Coefficients
-
Sets the value of the absoluteValue property.
- setActivationFunction(ACTIVATIONFUNCTION) - Method in class weka.core.pmml.jaxbbindings.NeuralLayer
-
Sets the value of the activationFunction property.
- setActivationFunction(ACTIVATIONFUNCTION) - Method in class weka.core.pmml.jaxbbindings.NeuralNetwork
-
Sets the value of the activationFunction property.
- setActive(boolean) - Method in class weka.gui.AbstractPerspective
-
Set active status of this perspective.
- setActive(boolean) - Method in class weka.gui.beans.AttributeSummarizer
-
Set active status of this perspective.
- setActive(boolean) - Method in interface weka.gui.beans.KnowledgeFlowApp.KFPerspective
-
Set active status of this perspective.
- setActive(boolean) - Method in class weka.gui.beans.KnowledgeFlowApp.MainKFPerspective
-
- setActive(boolean) - Method in class weka.gui.beans.ScatterPlotMatrix
-
Set active status of this perspective.
- setActive(boolean) - Method in class weka.gui.beans.SQLViewerPerspective
-
Set active status of this perspective.
- setActive(boolean) - Method in class weka.gui.explorer.AssociationsPanel
-
- setActive(boolean) - Method in class weka.gui.explorer.AttributeSelectionPanel
-
- setActive(boolean) - Method in class weka.gui.explorer.ClassifierPanel
-
- setActive(boolean) - Method in class weka.gui.explorer.ClustererPanel
-
- setActive(boolean) - Method in class weka.gui.explorer.PreprocessPanel
-
- setActive(boolean) - Method in class weka.gui.explorer.VisualizePanel
-
Make sure current settings are applied when this panel becomes active
- setActive(boolean) - Method in class weka.gui.knowledgeflow.MainKFPerspective
-
Set active status of this perspective.
- setActive(boolean) - Method in class weka.gui.knowledgeflow.ScatterPlotMatrixPerspective
-
Called when this perspective becomes the "active" (i.e.
- setActive(boolean) - Method in interface weka.gui.Perspective
-
Set active status of this perspective.
- setActive(boolean) - Method in class weka.gui.SimpleCLIPanel
-
- setActivePerspective(int) - Method in class weka.gui.PerspectiveManager
-
Set the active perspective
- setActivePerspective(String) - Method in class weka.gui.PerspectiveManager
-
Set the active perspective
- setActiveTab(int) - Method in class weka.gui.beans.KnowledgeFlowApp.MainKFPerspective
-
- setActiveTab(int) - Method in class weka.gui.knowledgeflow.MainKFPerspective
-
Set the active (visible) tab
- setAcuity(double) - Method in class weka.clusterers.Cobweb
-
set the acuity.
- setAdditionalMeasures(String[]) - Method in class weka.experiment.AveragingResultProducer
-
Set a list of method names for additional measures to look for in
SplitEvaluators.
- setAdditionalMeasures(String[]) - Method in class weka.experiment.ClassifierSplitEvaluator
-
Set a list of method names for additional measures to look for in
Classifiers.
- setAdditionalMeasures(String[]) - Method in class weka.experiment.CrossValidationResultProducer
-
Set a list of method names for additional measures to look for in
SplitEvaluators.
- setAdditionalMeasures(String[]) - Method in class weka.experiment.DatabaseResultProducer
-
Set a list of method names for additional measures to look for in
SplitEvaluators.
- setAdditionalMeasures(String[]) - Method in class weka.experiment.DensityBasedClustererSplitEvaluator
-
Set a list of method names for additional measures to look for in
Classifiers.
- setAdditionalMeasures(String[]) - Method in class weka.experiment.ExplicitTestsetResultProducer
-
Set a list of method names for additional measures to look for in
SplitEvaluators.
- setAdditionalMeasures(String[]) - Method in class weka.experiment.LearningRateResultProducer
-
Set a list of method names for additional measures to look for in
SplitEvaluators.
- setAdditionalMeasures(String[]) - Method in class weka.experiment.RandomSplitResultProducer
-
Set a list of method names for additional measures to look for in
SplitEvaluators.
- setAdditionalMeasures(String[]) - Method in class weka.experiment.RegressionSplitEvaluator
-
Set a list of method names for additional measures to look for in
Classifiers.
- setAdditionalMeasures(String[]) - Method in interface weka.experiment.ResultProducer
-
Sets a list of method names for additional measures to look for
in SplitEvaluators.
- setAdditionalMeasures(String[]) - Method in interface weka.experiment.SplitEvaluator
-
Sets a list of method names for additional measures to look for
in SplitEvaluators.
- setAddMatchingEndBlocks(boolean) - Method in class weka.gui.scripting.SyntaxDocument
-
Sets whether matching block ends are inserted or not.
- setAdjRSquared(Double) - Method in class weka.core.pmml.jaxbbindings.PredictiveModelQuality
-
Sets the value of the adjRSquared property.
- setAdjustWeights(boolean) - Method in class weka.filters.supervised.instance.SpreadSubsample
-
Sets whether the instance weights will be adjusted to maintain total weight
per class.
- setAdvanceDataSetFirst(boolean) - Method in class weka.experiment.Experiment
-
Set the value of m_AdvanceDataSetFirst.
- setAffinity(BigDecimal) - Method in class weka.core.pmml.jaxbbindings.AssociationRule
-
Sets the value of the affinity property.
- setAggregate(Aggregate) - Method in class weka.core.pmml.jaxbbindings.DefineFunction
-
Sets the value of the aggregate property.
- setAggregate(Aggregate) - Method in class weka.core.pmml.jaxbbindings.DerivedField
-
Sets the value of the aggregate property.
- setAggregate(Aggregate) - Method in class weka.core.pmml.jaxbbindings.OutputField
-
Sets the value of the aggregate property.
- setAIC(Double) - Method in class weka.core.pmml.jaxbbindings.PredictiveModelQuality
-
Sets the value of the aic property.
- setAICc(Double) - Method in class weka.core.pmml.jaxbbindings.PredictiveModelQuality
-
Sets the value of the aiCc property.
- setAlgorithm(String) - Method in class weka.core.pmml.jaxbbindings.OutputField
-
Sets the value of the algorithm property.
- setAlgorithmName(String) - Method in class weka.core.pmml.jaxbbindings.AssociationModel
-
Sets the value of the algorithmName property.
- setAlgorithmName(String) - Method in class weka.core.pmml.jaxbbindings.BaselineModel
-
Sets the value of the algorithmName property.
- setAlgorithmName(String) - Method in class weka.core.pmml.jaxbbindings.ClusteringModel
-
Sets the value of the algorithmName property.
- setAlgorithmName(String) - Method in class weka.core.pmml.jaxbbindings.DecisionTree
-
Sets the value of the algorithmName property.
- setAlgorithmName(String) - Method in class weka.core.pmml.jaxbbindings.GeneralRegressionModel
-
Sets the value of the algorithmName property.
- setAlgorithmName(String) - Method in class weka.core.pmml.jaxbbindings.MiningModel
-
Sets the value of the algorithmName property.
- setAlgorithmName(String) - Method in class weka.core.pmml.jaxbbindings.NaiveBayesModel
-
Sets the value of the algorithmName property.
- setAlgorithmName(String) - Method in class weka.core.pmml.jaxbbindings.NearestNeighborModel
-
Sets the value of the algorithmName property.
- setAlgorithmName(String) - Method in class weka.core.pmml.jaxbbindings.NeuralNetwork
-
Sets the value of the algorithmName property.
- setAlgorithmName(String) - Method in class weka.core.pmml.jaxbbindings.Regression
-
Sets the value of the algorithmName property.
- setAlgorithmName(String) - Method in class weka.core.pmml.jaxbbindings.RegressionModel
-
Sets the value of the algorithmName property.
- setAlgorithmName(String) - Method in class weka.core.pmml.jaxbbindings.RuleSetModel
-
Sets the value of the algorithmName property.
- setAlgorithmName(String) - Method in class weka.core.pmml.jaxbbindings.Scorecard
-
Sets the value of the algorithmName property.
- setAlgorithmName(String) - Method in class weka.core.pmml.jaxbbindings.SequenceModel
-
Sets the value of the algorithmName property.
- setAlgorithmName(String) - Method in class weka.core.pmml.jaxbbindings.SupportVectorMachineModel
-
Sets the value of the algorithmName property.
- setAlgorithmName(String) - Method in class weka.core.pmml.jaxbbindings.TextModel
-
Sets the value of the algorithmName property.
- setAlgorithmName(String) - Method in class weka.core.pmml.jaxbbindings.TimeSeriesModel
-
Sets the value of the algorithmName property.
- setAlgorithmName(String) - Method in class weka.core.pmml.jaxbbindings.TreeModel
-
Sets the value of the algorithmName property.
- setAllAttributeWeightsToOne(boolean) - Method in class weka.filters.unsupervised.attribute.Reorder
-
Whether to set all attribute weights to one in output data.
- setAllowMultipleTabs(boolean) - Method in class weka.gui.beans.KnowledgeFlowApp
-
- setAllowMultipleTabs(boolean) - Method in class weka.gui.knowledgeflow.MainKFPerspective
-
Set whether multiple tabs are allowed
- setAllowUnclassifiedInstances(boolean) - Method in class weka.classifiers.trees.RandomTree
-
Set the value of AllowUnclassifiedInstances.
- setAlpha(double) - Method in class weka.classifiers.bayes.net.estimate.BayesNetEstimator
-
Set prior used in probability table estimation
- setAlpha(Double) - Method in class weka.core.pmml.jaxbbindings.Level
-
Sets the value of the alpha property.
- setAlternate(Alternate) - Method in class weka.core.pmml.jaxbbindings.TestDistributions
-
Sets the value of the alternate property.
- setAlternateTargetCategory(String) - Method in class weka.core.pmml.jaxbbindings.SupportVectorMachine
-
Sets the value of the alternateTargetCategory property.
- setAltitude(Double) - Method in class weka.core.pmml.jaxbbindings.NeuralLayer
-
Sets the value of the altitude property.
- setAltitude(Double) - Method in class weka.core.pmml.jaxbbindings.NeuralNetwork
-
Sets the value of the altitude property.
- setAltitude(Double) - Method in class weka.core.pmml.jaxbbindings.Neuron
-
Sets the value of the altitude property.
- setAmplitude(double) - Method in class weka.datagenerators.classifiers.regression.MexicanHat
-
Sets the amplitude multiplier.
- setAnimated() - Method in class weka.gui.beans.BeanVisual
-
Deprecated.
- setAnova(Anova) - Method in class weka.core.pmml.jaxbbindings.UnivariateStats
-
Sets the value of the anova property.
- setAntecedent(String) - Method in class weka.core.pmml.jaxbbindings.AssociationRule
-
Sets the value of the antecedent property.
- setAnyDistribution(AnyDistribution) - Method in class weka.core.pmml.jaxbbindings.Alternate
-
Sets the value of the anyDistribution property.
- setAnyDistribution(AnyDistribution) - Method in class weka.core.pmml.jaxbbindings.Baseline
-
Sets the value of the anyDistribution property.
- setAppend(boolean) - Method in class weka.gui.beans.TextSaver
-
- setAppend(boolean) - Method in class weka.knowledgeflow.steps.TextSaver
-
Set whether the file should be appended to rather than overwritten
- setAppendPredictedProbabilities(boolean) - Method in class weka.gui.beans.PredictionAppender
-
Set whether to append predicted probabilities rather than class value (for
discrete class data sets)
- setAppendProbabilities(boolean) - Method in class weka.knowledgeflow.steps.PredictionAppender
-
Set whether to append probability distributions rather than predicted
classes
- setApplication(Application) - Method in class weka.core.pmml.jaxbbindings.Header
-
Sets the value of the application property.
- setApply(Apply) - Method in class weka.core.pmml.jaxbbindings.DefineFunction
-
Sets the value of the apply property.
- setApply(Apply) - Method in class weka.core.pmml.jaxbbindings.DerivedField
-
Sets the value of the apply property.
- setApply(Apply) - Method in class weka.core.pmml.jaxbbindings.OutputField
-
Sets the value of the apply property.
- setAppropriateSize() - Method in class weka.classifiers.bayes.net.GUI
-
Sets the preferred size for m_GraphPanel GraphPanel to the minimum size
that is neccessary to display the graph.
- setArffFile(String) - Method in class weka.gui.streams.InstanceLoader
-
- setArffFile(String) - Method in class weka.gui.streams.InstanceSavePanel
-
- setArray(ArrayType) - Method in class weka.core.pmml.jaxbbindings.BoundaryValueMeans
-
Sets the value of the array property.
- setArray(ArrayType) - Method in class weka.core.pmml.jaxbbindings.BoundaryValues
-
Sets the value of the array property.
- setArray(ArrayType) - Method in class weka.core.pmml.jaxbbindings.ClassLabels
-
Sets the value of the array property.
- setArray(ArrayType) - Method in class weka.core.pmml.jaxbbindings.Cluster
-
Sets the value of the array property.
- setArray(ArrayType) - Method in class weka.core.pmml.jaxbbindings.CorrelationFields
-
Sets the value of the array property.
- setArray(ArrayType) - Method in class weka.core.pmml.jaxbbindings.MissingValueWeights
-
Sets the value of the array property.
- setArray(ArrayType) - Method in class weka.core.pmml.jaxbbindings.SeasonalityExpoSmooth
-
Sets the value of the array property.
- setArray(ArrayType) - Method in class weka.core.pmml.jaxbbindings.SetPredicate
-
Sets the value of the array property.
- setArray(ArrayType) - Method in class weka.core.pmml.jaxbbindings.SimpleSetPredicate
-
Sets the value of the array property.
- setArray(ArrayType) - Method in class weka.core.pmml.jaxbbindings.TextDictionary
-
Sets the value of the array property.
- setArray(ArrayType) - Method in class weka.core.pmml.jaxbbindings.TimeCycle
-
Sets the value of the array property.
- setArray(ArrayType) - Method in class weka.core.pmml.jaxbbindings.TimeException
-
Sets the value of the array property.
- setArray(ArrayType) - Method in class weka.core.pmml.jaxbbindings.TrendExpoSmooth
-
Sets the value of the array property.
- setArray(ArrayType) - Method in class weka.core.pmml.jaxbbindings.VectorInstance
-
Sets the value of the array property.
- setArray(ArrayType) - Method in class weka.core.pmml.jaxbbindings.XCoordinates
-
Sets the value of the array property.
- setArray(ArrayType) - Method in class weka.core.pmml.jaxbbindings.YCoordinates
-
Sets the value of the array property.
- setAssociatedConnections(Vector<BeanConnection>) - Method in class weka.gui.beans.MetaBean
-
- setAssociationModel(AssociationModel) - Method in class weka.core.pmml.jaxbbindings.Segment
-
Sets the value of the associationModel property.
- setAssociator(Associator) - Method in class weka.associations.CheckAssociator
-
Set the associator to test.
- setAssociator(Associator) - Method in class weka.associations.SingleAssociatorEnhancer
-
Set the base associator.
- setAssociator(Associator) - Method in class weka.gui.beans.Associator
-
Set the associator for this wrapper
- setAssociator(Associator) - Method in class weka.knowledgeflow.steps.Associator
-
Set the associator to use.
- setAsText(String) - Method in class weka.gui.beans.EnvironmentField
-
Deprecated.
- setAsText(String) - Method in class weka.gui.ColorEditor
-
Throws an exception as we are not representable in text form
- setAsText(String) - Method in class weka.gui.CostMatrixEditor
-
Some objects can be represented as text, but a cost matrix cannot.
- setAsText(String) - Method in class weka.gui.EnvironmentField
-
- setAsText(String) - Method in class weka.gui.FileEnvironmentField
-
- setAsText(String) - Method in class weka.gui.GenericArrayEditor
-
Returns null as we don't support getting/setting values as text.
- setAsText(String) - Method in class weka.gui.GenericObjectEditor
-
Returns null as we don't support getting/setting values as text.
- setAsText(String) - Method in class weka.gui.PasswordField
-
- setAsText(String) - Method in class weka.gui.RangeEditor
-
Sets the current property value as text.
- setAsText(String) - Method in class weka.gui.SelectedTagEditor
-
Sets the current property value as text.
- setAsText(String) - Method in class weka.gui.SimpleDateFormatEditor
-
Sets the date format string.
- setAttList_Irr(boolean[]) - Method in class weka.datagenerators.classifiers.classification.RDG1
-
Sets the array that defines which of the attributes are seen to be
irrelevant.
- setAttribute(int) - Method in class weka.gui.AttributeSummaryPanel
-
Sets the attribute that statistics will be displayed for.
- setAttribute(int) - Method in class weka.gui.AttributeVisualizationPanel
-
Tells the panel which attribute to visualize.
- setAttribute(String) - Method in class weka.knowledgeflow.steps.Sorter.SortRule
-
Set the name or index of the attribute to sort on
- setAttributeColor(SyntaxDocument.ATTR_TYPE, Color) - Method in class weka.gui.scripting.SyntaxDocument
-
Sets the foreground (font) color of the specified attribute.
- setAttributeColor(MutableAttributeSet, Color) - Static method in class weka.gui.scripting.SyntaxDocument
-
Sets the foreground (font) color of the specified attribute.
- setAttributeFont(SyntaxDocument.ATTR_TYPE, int) - Method in class weka.gui.scripting.SyntaxDocument
-
Sets the font of the specified attribute.
- setAttributeFont(MutableAttributeSet, Font) - Static method in class weka.gui.scripting.SyntaxDocument
-
Sets the font of the specified attribute.
- setAttributeID(int) - Method in class weka.experiment.ClassifierSplitEvaluator
-
Set the index of Attibute Identifying the instances
- setAttributeIndex(String) - Method in class weka.filters.unsupervised.attribute.Add
-
Sets index of the attribute used.
- setAttributeIndex(String) - Method in class weka.filters.unsupervised.attribute.AddNoise
-
Sets index of the attribute used.
- setAttributeIndex(String) - Method in class weka.filters.unsupervised.attribute.AddValues
-
Sets index of the attribute used.
- setAttributeIndex(String) - Method in class weka.filters.unsupervised.attribute.ChangeDateFormat
-
Sets the index of the attribute used.
- setAttributeIndex(String) - Method in class weka.filters.unsupervised.attribute.MakeIndicator
-
Sets index of the attribute used.
- setAttributeIndex(String) - Method in class weka.filters.unsupervised.attribute.MergeManyValues
-
Sets index of the attribute used.
- setAttributeIndex(String) - Method in class weka.filters.unsupervised.attribute.MergeTwoValues
-
Sets index of the attribute used.
- setAttributeIndex(String) - Method in class weka.filters.unsupervised.attribute.SwapValues
-
Sets index of the attribute used.
- setAttributeIndex(String) - Method in class weka.filters.unsupervised.instance.RemoveFrequentValues
-
Sets index of the attribute used.
- setAttributeIndex(String) - Method in class weka.filters.unsupervised.instance.RemoveWithValues
-
Sets index of the attribute used.
- setAttributeIndexes(String) - Method in class weka.filters.unsupervised.attribute.NominalToString
-
Sets index of the attribute used.
- setAttributeIndices(String) - Method in class weka.core.converters.DictionarySaver
-
Sets which attributes are to be worked on.
- setAttributeIndices(String) - Method in class weka.core.DictionaryBuilder
-
Sets which attributes are to be worked on.
- setAttributeIndices(String) - Method in interface weka.core.DistanceFunction
-
Sets the range of attributes to use in the calculation of the distance.
- setAttributeIndices(String) - Method in class weka.core.FilteredDistance
-
Sets the range of attributes to use in the calculation of the distance.
- setAttributeIndices(String) - Method in class weka.core.NormalizableDistance
-
Sets the range of attributes to use in the calculation of the distance.
- setAttributeIndices(String) - Method in class weka.filters.supervised.attribute.Discretize
-
Sets which attributes are to be Discretized (only numeric attributes among
the selection will be Discretized).
- setAttributeIndices(String) - Method in class weka.filters.supervised.attribute.MergeNominalValues
-
Set which attributes are to be acted on (or not, if invert is true)
- setAttributeIndices(String) - Method in class weka.filters.unsupervised.attribute.AbstractTimeSeries
-
Set which attributes are to be copied (or kept if invert is true)
- setAttributeIndices(String) - Method in class weka.filters.unsupervised.attribute.CartesianProduct
-
Sets which attributes are to be used for interquartile calculations and
outlier/extreme value detection (only numeric attributes among the
selection will be used).
- setAttributeIndices(String) - Method in class weka.filters.unsupervised.attribute.Copy
-
Set which attributes are to be copied (or kept if invert is true)
- setAttributeIndices(String) - Method in class weka.filters.unsupervised.attribute.DateToNumeric
-
Sets which attributes are to be turned into numeric attributes (only date attributes
among the selection will be transformed).
- setAttributeIndices(String) - Method in class weka.filters.unsupervised.attribute.Discretize
-
Sets which attributes are to be Discretized (only numeric attributes among
the selection will be Discretized).
- setAttributeIndices(String) - Method in class weka.filters.unsupervised.attribute.FirstOrder
-
Set which attributes are to be deleted (or kept if invert is true)
- setAttributeIndices(String) - Method in class weka.filters.unsupervised.attribute.FixedDictionaryStringToWordVector
-
Sets which attributes are to be worked on.
- setAttributeIndices(String) - Method in class weka.filters.unsupervised.attribute.InterquartileRange
-
Sets which attributes are to be used for interquartile calculations and
outlier/extreme value detection (only numeric attributes among the
selection will be used).
- setAttributeIndices(String) - Method in class weka.filters.unsupervised.attribute.MergeInfrequentNominalValues
-
Set which attributes are to be acted on (or not, if invert is true)
- setAttributeIndices(String) - Method in class weka.filters.unsupervised.attribute.NominalToBinary
-
Sets which attributes are to be acted on.
- setAttributeIndices(String) - Method in class weka.filters.unsupervised.attribute.NumericCleaner
-
Sets the columns to use, e.g., first-last or first-3,5-last
- setAttributeIndices(String) - Method in class weka.filters.unsupervised.attribute.NumericToBinary
-
Sets which attributes are to be "binarized" (only numeric attributes
among the selection will be transformed).
- setAttributeIndices(String) - Method in class weka.filters.unsupervised.attribute.NumericToDate
-
Sets which attributes are to be turned into date attributes (only numeric attributes
among the selection will be transformed).
- setAttributeIndices(String) - Method in class weka.filters.unsupervised.attribute.NumericToNominal
-
Sets which attributes are to be "nominalized" (only numeric attributes
among the selection will be transformed).
- setAttributeIndices(String) - Method in class weka.filters.unsupervised.attribute.NumericTransform
-
Set which attributes are to be transformed (or kept if invert is true).
- setAttributeIndices(String) - Method in class weka.filters.unsupervised.attribute.Remove
-
Set which attributes are to be deleted (or kept if invert is true)
- setAttributeIndices(String) - Method in class weka.filters.unsupervised.attribute.RenameAttribute
-
Sets which attributes are to be acted on.
- setAttributeIndices(String) - Method in class weka.filters.unsupervised.attribute.Reorder
-
Set which attributes are to be copied (or kept if invert is true)
- setAttributeIndices(String) - Method in class weka.filters.unsupervised.attribute.ReplaceWithMissingValue
-
Sets which attributes are to be "nominalized" (only numeric attributes
among the selection will be transformed).
- setAttributeIndices(String) - Method in class weka.filters.unsupervised.attribute.SortLabels
-
Set the range of attributes to process.
- setAttributeIndices(String) - Method in class weka.filters.unsupervised.attribute.StringToWordVector
-
Sets which attributes are to be worked on.
- setAttributeIndicesArray(int[]) - Method in class weka.core.DictionaryBuilder
-
Sets which attributes are to be processed.
- setAttributeIndicesArray(int[]) - Method in class weka.filters.supervised.attribute.Discretize
-
Sets which attributes are to be Discretized (only numeric attributes among
the selection will be Discretized).
- setAttributeIndicesArray(int[]) - Method in class weka.filters.supervised.attribute.MergeNominalValues
-
Set which attributes are to be acted on (or not, if invert is true)
- setAttributeIndicesArray(int[]) - Method in class weka.filters.unsupervised.attribute.AbstractTimeSeries
-
Set which attributes are to be copied (or kept if invert is true)
- setAttributeIndicesArray(int[]) - Method in class weka.filters.unsupervised.attribute.CartesianProduct
-
Sets which attributes are to be used.
- setAttributeIndicesArray(int[]) - Method in class weka.filters.unsupervised.attribute.Copy
-
Set which attributes are to be copied (or kept if invert is true)
- setAttributeIndicesArray(int[]) - Method in class weka.filters.unsupervised.attribute.DateToNumeric
-
Sets which attributes are to be transformed to numeric attributes (only date
attributes among the selection will be transformed).
- setAttributeIndicesArray(int[]) - Method in class weka.filters.unsupervised.attribute.Discretize
-
Sets which attributes are to be Discretized (only numeric attributes among
the selection will be Discretized).
- setAttributeIndicesArray(int[]) - Method in class weka.filters.unsupervised.attribute.FirstOrder
-
Set which attributes are to be deleted (or kept if invert is true)
- setAttributeIndicesArray(int[]) - Method in class weka.filters.unsupervised.attribute.InterquartileRange
-
Sets which attributes are to be used for interquartile calculations and
outlier/extreme value detection (only numeric attributes among the
selection will be used).
- setAttributeIndicesArray(int[]) - Method in class weka.filters.unsupervised.attribute.MergeInfrequentNominalValues
-
Set which attributes are to be acted on (or not, if invert is true)
- setAttributeIndicesArray(int[]) - Method in class weka.filters.unsupervised.attribute.NumericToBinary
-
Sets which attributes are to be transformed to binary.
- setAttributeIndicesArray(int[]) - Method in class weka.filters.unsupervised.attribute.NumericToDate
-
Sets which attributes are to be transformed to date attributes (only numeric
attributes among the selection will be transformed).
- setAttributeIndicesArray(int[]) - Method in class weka.filters.unsupervised.attribute.NumericToNominal
-
Sets which attributes are to be transoformed to nominal.
- setAttributeIndicesArray(int[]) - Method in class weka.filters.unsupervised.attribute.NumericTransform
-
Set which attributes are to be transformed (or kept if invert is true)
- setAttributeIndicesArray(int[]) - Method in class weka.filters.unsupervised.attribute.Remove
-
Set which attributes are to be deleted (or kept if invert is true)
- setAttributeIndicesArray(int[]) - Method in class weka.filters.unsupervised.attribute.Reorder
-
Set which attributes are to be copied (or kept if invert is true)
- setAttributeIndicesArray(int[]) - Method in class weka.filters.unsupervised.attribute.ReplaceWithMissingValue
-
Sets which attributes are to be transoformed to nominal.
- setAttributeIndicesArray(int[]) - Method in class weka.filters.unsupervised.attribute.StringToWordVector
-
Sets which attributes are to be processed.
- setAttributeName(String) - Method in class weka.filters.unsupervised.attribute.Add
-
Set the new attribute's name.
- setAttributeName(String) - Method in class weka.filters.unsupervised.attribute.AddID
-
Set the new attribute's name
- setAttributeNamePrefix(String) - Method in class weka.core.DictionaryBuilder
-
Set the attribute name prefix.
- setAttributeNamePrefix(String) - Method in class weka.filters.unsupervised.attribute.FixedDictionaryStringToWordVector
-
Set the attribute name prefix.
- setAttributeNamePrefix(String) - Method in class weka.filters.unsupervised.attribute.StringToWordVector
-
Set the attribute name prefix.
- setAttributeRange(String) - Method in class weka.filters.unsupervised.attribute.StringToNominal
-
Sets range of indices of the attributes used.
- setAttributes(String) - Method in class weka.classifiers.evaluation.output.prediction.AbstractOutput
-
Sets the range of attributes to output.
- setAttributes(String) - Method in class weka.filters.unsupervised.attribute.ReplaceMissingWithUserConstant
-
Set the list of attributes to consider for replacing missing values
- setAttributeSelectionMethod(SelectedTag) - Method in class weka.classifiers.functions.LinearRegression
-
Sets the method used to select attributes for use in the linear regression.
- setAttributeSpecs(List<AddUserFields.AttributeSpec>) - Method in class weka.filters.unsupervised.attribute.AddUserFields
-
Set the list of attribute specs to use to create the new attributes.
- setAttributesToOperateOn(String) - Method in class weka.filters.unsupervised.attribute.OrdinalToNumeric
-
Set the attributes to operate on
- setAttributeType(SelectedTag) - Method in class weka.filters.unsupervised.attribute.Add
-
Sets the type of attribute to generate.
- setAttributeType(SelectedTag) - Method in class weka.filters.unsupervised.attribute.RemoveType
-
Sets the attribute type to be deleted by the filter.
- setAttributeWeight(Attribute, double) - Method in class weka.core.Instances
-
Sets the weight of an attribute.
- setAttributeWeight(int, double) - Method in class weka.core.Instances
-
Sets the weight of an attribute.
- setAttributeWeight() - Method in class weka.gui.arffviewer.ArffPanel
-
sets the weight for the current attribute
- setAttributeWeightAt(int, double) - Method in class weka.gui.arffviewer.ArffSortedTableModel
-
sets the weight of the attribute at the given col index
- setAttributeWeightAt(int, double) - Method in class weka.gui.arffviewer.ArffTableModel
-
set the attribute weight at the given col index
- setAttrIndexRange(String) - Method in class weka.datagenerators.clusterers.SubspaceClusterDefinition
-
Sets which attributes are used in the cluster.
- setAttsToApplyTo(String) - Method in class weka.gui.beans.SubstringLabelerRules.SubstringLabelerMatchRule
-
Set the attributes to apply the rule to
- setAttsToApplyTo(String) - Method in class weka.gui.beans.SubstringReplacerRules.SubstringReplacerMatchRule
-
Set the attributes to apply the rule to
- setAutoBuild(boolean) - Method in class weka.classifiers.functions.MultilayerPerceptron
-
This will set whether the network is automatically built or if it is left
up to the user.
- setAutoKeyGeneration(boolean) - Method in class weka.core.converters.DatabaseSaver
-
En/Dis-ables the automatic generation of a primary key.
- setAverageDocLength(double) - Method in class weka.core.DictionaryBuilder
-
Set the average document length to use when normalizing
- setAvgNumberOfItemsPerTA(Double) - Method in class weka.core.pmml.jaxbbindings.AssociationModel
-
Sets the value of the avgNumberOfItemsPerTA property.
- setAvgNumberOfItemsPerTransaction(Double) - Method in class weka.core.pmml.jaxbbindings.SequenceModel
-
Sets the value of the avgNumberOfItemsPerTransaction property.
- setAvgNumberOfTAsPerTAGroup(Double) - Method in class weka.core.pmml.jaxbbindings.SequenceModel
-
Sets the value of the avgNumberOfTAsPerTAGroup property.
- setBackground(Color) - Method in class weka.gui.ResultHistoryPanel
-
Set the background color for this component and the list
- setBackground(Color) - Method in class weka.gui.visualize.BMPWriter
-
sets the background color to use in creating the BMP.
- setBackground(Color) - Method in class weka.gui.visualize.JPEGWriter
-
sets the background color to use in creating the JPEG.
- setBackground(Color) - Method in class weka.gui.visualize.PNGWriter
-
sets the background color to use in creating the PNG.
- setBackground(Color) - Method in class weka.gui.visualize.PostscriptGraphics
-
- setBackgroundColor(Color) - Method in class weka.gui.scripting.SyntaxDocument
-
Sets the background color.
- setBagSizePercent(int) - Method in class weka.classifiers.meta.Bagging
-
Sets the size of each bag, as a percentage of the training set size.
- setBalanceClass(boolean) - Method in class weka.datagenerators.classifiers.classification.Agrawal
-
Sets whether the class is balanced.
- setBallSplitter(BallSplitter) - Method in class weka.core.neighboursearch.balltrees.TopDownConstructor
-
Sets the ball splitting algorithm to be used by the TopDown constructor.
- setBallTreeConstructor(BallTreeConstructor) - Method in class weka.core.neighboursearch.BallTree
-
Sets the BallTreeConstructor for building the BallTree
(default TopDownConstructor).
- setBase(double) - Method in class weka.core.neighboursearch.CoverTree
-
Sets the base to use for expansion constant.
- setBaseEvaluation(Evaluation) - Method in class weka.classifiers.evaluation.AbstractEvaluationMetric
-
Set the base evaluation object to use.
- setBaseExperiment(Experiment) - Method in class weka.experiment.RemoteExperiment
-
Set the base experiment.
- setBaseForSampling(String) - Method in class weka.knowledgeflow.steps.BoundaryPlotter
-
Set the base for sampling
- setBaseline(Baseline) - Method in class weka.core.pmml.jaxbbindings.TestDistributions
-
Sets the value of the baseline property.
- setBaselineMethod(String) - Method in class weka.core.pmml.jaxbbindings.Scorecard
-
Sets the value of the baselineMethod property.
- setBaselineModel(BaselineModel) - Method in class weka.core.pmml.jaxbbindings.Segment
-
Sets the value of the baselineModel property.
- setBaselineScore(Double) - Method in class weka.core.pmml.jaxbbindings.Characteristic
-
Sets the value of the baselineScore property.
- setBaselineScore(Double) - Method in class weka.core.pmml.jaxbbindings.Scorecard
-
Sets the value of the baselineScore property.
- setBaselineStrataVariable(String) - Method in class weka.core.pmml.jaxbbindings.GeneralRegressionModel
-
Sets the value of the baselineStrataVariable property.
- setBaseSystemName(String) - Method in class weka.core.packageManagement.PackageManager
-
Set the name of the main software system for which we manage packages.
- setBaseSystemVersion(Object) - Method in class weka.core.packageManagement.PackageManager
-
Set the current version of the base system for which we manage packages.
- setBatchSize(String) - Method in class weka.classifiers.AbstractClassifier
-
Set the preferred batch size for batch prediction.
- setBatchSize(String) - Method in class weka.classifiers.meta.AttributeSelectedClassifier
-
Set the batch size to use.
- setBatchSize(String) - Method in class weka.classifiers.meta.Bagging
-
Set the batch size to use.
- setBatchSize(String) - Method in class weka.classifiers.meta.CostSensitiveClassifier
-
Set the batch size to use.
- setBatchSize(String) - Method in class weka.classifiers.meta.FilteredClassifier
-
Set the batch size to use.
- setBatchSize(String) - Method in class weka.classifiers.meta.RandomCommittee
-
Set the batch size to use.
- setBatchSize(String) - Method in class weka.classifiers.meta.RandomSubSpace
-
Set the batch size to use.
- setBatchSize(String) - Method in class weka.classifiers.trees.RandomForest
-
Set the preferred batch size for batch prediction.
- setBatchSize(String) - Method in interface weka.core.BatchPredictor
-
Set the batch size to use.
- setBeanContext(BeanContext) - Method in class weka.gui.beans.AbstractDataSource
-
Set a bean context for this bean
- setBeanContext(BeanContext) - Method in class weka.gui.beans.CostBenefitAnalysis
-
- setBeanContext(BeanContext) - Method in class weka.gui.beans.DataVisualizer
-
Set a bean context for this bean
- setBeanContext(BeanContext) - Method in class weka.gui.beans.GraphViewer
-
Set a bean context for this bean
- setBeanContext(BeanContext) - Method in class weka.gui.beans.Loader
-
Set a bean context for this bean
- setBeanContext(BeanContext) - Method in class weka.gui.beans.ModelPerformanceChart
-
Set a bean context for this bean
- setBeanContext(BeanContext) - Method in class weka.gui.beans.TextViewer
-
Set a bean context for this bean
- setBeanInstances(Vector<Object>, JComponent, Integer...) - Static method in class weka.gui.beans.BeanInstance
-
Adds the supplied collection of beans at the supplied index in the list of
collections.
- setBestFit(TIMESERIESALGORITHM) - Method in class weka.core.pmml.jaxbbindings.TimeSeriesModel
-
Sets the value of the bestFit property.
- setBeta(double) - Method in class weka.core.pmml.jaxbbindings.PCell
-
Sets the value of the beta property.
- setBias(double) - Method in class weka.classifiers.functions.SGDText
-
- setBias(Double) - Method in class weka.core.pmml.jaxbbindings.Neuron
-
Sets the value of the bias property.
- setBiasToUniformClass(double) - Method in class weka.filters.supervised.instance.Resample
-
Sets the bias towards a uniform class.
- setBIC(Double) - Method in class weka.core.pmml.jaxbbindings.PredictiveModelQuality
-
Sets the value of the bic property.
- setBIFFile(String) - Method in class weka.classifiers.bayes.BayesNet
-
Set name of network in BIF file to compare with
- setBIFFile(String) - Method in class weka.classifiers.bayes.net.search.fixed.FromFile
-
Set name of network in BIF file to read structure from
- setBinarizeNumericAttributes(boolean) - Method in class weka.attributeSelection.InfoGainAttributeEval
-
Binarize numeric attributes.
- setBinaryAttributesNominal(boolean) - Method in class weka.filters.supervised.attribute.NominalToBinary
-
Sets if binary attributes are to be treates as nominal ones.
- setBinaryAttributesNominal(boolean) - Method in class weka.filters.unsupervised.attribute.NominalToBinary
-
Sets if binary attributes are to be treates as nominal ones.
- setBinarySimilarity(BinarySimilarity) - Method in class weka.core.pmml.jaxbbindings.ComparisonMeasure
-
Sets the value of the binarySimilarity property.
- setBinarySplits(boolean) - Method in class weka.classifiers.rules.PART
-
Set the value of binarySplits.
- setBinarySplits(boolean) - Method in class weka.classifiers.trees.J48
-
Set the value of binarySplits.
- setBinRangePrecision(int) - Method in class weka.filters.supervised.attribute.Discretize
-
Set the precision for bin boundaries.
- setBinRangePrecision(int) - Method in class weka.filters.unsupervised.attribute.Discretize
-
Set the precision for bin boundaries.
- setBins(int) - Method in class weka.filters.unsupervised.attribute.Discretize
-
Sets the number of bins to divide each selected numeric attribute into
- setBins(int) - Method in class weka.filters.unsupervised.attribute.PKIDiscretize
-
Ignored
- setBinValue(String) - Method in class weka.core.pmml.jaxbbindings.DiscretizeBin
-
Sets the value of the binValue property.
- setBlendFactor(int) - Method in class weka.classifiers.lazy.kstar.KStarNumericAttribute
-
Set the blending factor
- setBlendMethod(int) - Method in class weka.classifiers.lazy.kstar.KStarNumericAttribute
-
Set the blending method
- setBlockEnd(String) - Method in class weka.gui.scripting.SyntaxDocument
-
Sets the string that is the end of a block.
- setBlockOnLastFold(boolean) - Method in class weka.gui.beans.Classifier
-
Set whether to block on receiving the last fold of the last run rather than
rejecting any further data until all processing is complete.
- setBlockStart(String) - Method in class weka.gui.scripting.SyntaxDocument
-
Sets the string that is the start of a block.
- setBold(boolean) - Method in class weka.gui.CloseableTabTitle
-
Set a bold look for the tab
- setBoolean(String, boolean) - Method in class weka.core.expressionlanguage.common.SimpleVariableDeclarations.VariableInitializer
-
Sets the value of a boolean variable
- setBooleanCols(Range) - Method in class weka.datagenerators.clusterers.SubspaceCluster
-
Sets which attributes are boolean.
- setBooleanIndices(String) - Method in class weka.datagenerators.clusterers.SubspaceCluster
-
Sets which attributes are boolean
- setBooleanOperator(String) - Method in class weka.core.pmml.jaxbbindings.CompoundPredicate
-
Sets the value of the booleanOperator property.
- setBooleanOperator(String) - Method in class weka.core.pmml.jaxbbindings.SimpleSetPredicate
-
Sets the value of the booleanOperator property.
- setBoundaryValueMeans(BoundaryValueMeans) - Method in class weka.core.pmml.jaxbbindings.LiftGraph
-
Sets the value of the boundaryValueMeans property.
- setBoundaryValues(BoundaryValues) - Method in class weka.core.pmml.jaxbbindings.LiftGraph
-
Sets the value of the boundaryValues property.
- setBoundaryValues(BoundaryValues) - Method in class weka.core.pmml.jaxbbindings.ROCGraph
-
Sets the value of the boundaryValues property.
- setBreakTiesRandomly(boolean) - Method in class weka.classifiers.trees.RandomForest
-
Set whether to break ties randomly.
- setBreakTiesRandomly(boolean) - Method in class weka.classifiers.trees.RandomTree
-
Set whether to break ties randomly.
- setBuffer(StringBuffer) - Method in class weka.classifiers.evaluation.output.prediction.AbstractOutput
-
Sets the buffer to use.
- setBufferSize(int) - Method in class weka.core.converters.CSVLoader
-
Set the buffer size to use - i.e.
- setBufferSize(String) - Method in class weka.gui.beans.Sorter
-
Set the size of the in-memory buffer
- setBufferSize(String) - Method in class weka.knowledgeflow.steps.Sorter
-
Set the size of the in-memory buffer
- setBuildCalibrationModels(boolean) - Method in class weka.classifiers.functions.SMO
-
Set the value of buildCalibrationModels.
- setBuildRegressionTree(boolean) - Method in class weka.classifiers.trees.m5.M5Base
-
Set the value of regressionTree.
- setBusinessProblem(String) - Method in class weka.core.pmml.jaxbbindings.Decisions
-
Sets the value of the businessProblem property.
- setButtonEnabled(boolean) - Method in class weka.gui.CloseableTabTitle
-
Enable/disable the close widget
- setC(double) - Method in class weka.classifiers.functions.SMO
-
Set the value of C.
- setC(double) - Method in class weka.classifiers.functions.SMOreg
-
Set the value of C.
- setC00Parameter(double) - Method in class weka.core.pmml.jaxbbindings.BinarySimilarity
-
Sets the value of the c00Parameter property.
- setC01Parameter(double) - Method in class weka.core.pmml.jaxbbindings.BinarySimilarity
-
Sets the value of the c01Parameter property.
- setC10Parameter(double) - Method in class weka.core.pmml.jaxbbindings.BinarySimilarity
-
Sets the value of the c10Parameter property.
- setC11Parameter(double) - Method in class weka.core.pmml.jaxbbindings.BinarySimilarity
-
Sets the value of the c11Parameter property.
- setCacheKeyName(String) - Method in class weka.experiment.DatabaseResultListener
-
Set the value of CacheKeyName.
- setCacheSize(int) - Method in class weka.classifiers.functions.supportVector.CachedKernel
-
Sets the size of the cache to use (a prime number)
- setCacheSize(int) - Method in class weka.classifiers.functions.supportVector.StringKernel
-
Sets the size of the cache to use (a prime number)
- setCalcOutOfBag(boolean) - Method in class weka.classifiers.meta.Bagging
-
Set whether the out of bag error is calculated.
- setCalculateStdDevs(boolean) - Method in class weka.experiment.AveragingResultProducer
-
Set the value of CalculateStdDevs.
- setCalibrator(Classifier) - Method in class weka.classifiers.functions.SMO
-
sets the calibrator to use
- setCanChangeClassInDialog(boolean) - Method in class weka.gui.GenericObjectEditor
-
Sets whether the user can change the class in the dialog.
- setCanopies(Instances) - Method in class weka.clusterers.Canopy
-
Set the canopies to use (replaces any learned by this clusterer already)
- setCanopyMaxNumCanopiesToHoldInMemory(int) - Method in class weka.clusterers.SimpleKMeans
-
Set the maximum number of candidate canopies to retain in memory during
training.
- setCanopyMinimumCanopyDensity(double) - Method in class weka.clusterers.SimpleKMeans
-
Set the minimum T2-based density below which a canopy will be pruned during
periodic pruning.
- setCanopyPeriodicPruningRate(int) - Method in class weka.clusterers.SimpleKMeans
-
Set the how often to prune low density canopies during training (if using
canopy clustering)
- setCanopyT1(double) - Method in class weka.clusterers.SimpleKMeans
-
Set the t1 radius to use when canopy clustering is being used as start
points and/or to reduce the number of distance calcs
- setCanopyT2(double) - Method in class weka.clusterers.SimpleKMeans
-
Set the t2 radius to use when canopy clustering is being used as start
points and/or to reduce the number of distance calcs
- setCapabilities(Capabilities) - Method in class weka.core.FindWithCapabilities
-
Uses the given Capabilities for the search.
- setCapabilities(Capabilities) - Method in class weka.gui.GenericObjectEditor.CapabilitiesFilterDialog
-
sets the initial capabilities.
- setCapabilitiesFilter(Capabilities) - Method in class weka.gui.ConverterFileChooser
-
sets the capabilities that the savers must have.
- setCapabilitiesFilter(Capabilities) - Method in class weka.gui.GenericObjectEditor
-
Sets the capabilities to use for filtering.
- setCapacity(int) - Method in class weka.core.FastVector
-
Deprecated.
Sets the vector's capacity to the given value.
- setCapacity(int) - Method in class weka.core.matrix.DoubleVector
-
Sets the capacity of the vector
- setCapacity(int) - Method in class weka.core.matrix.IntVector
-
Sets the capacity of the vector
- setCar(boolean) - Method in class weka.associations.Apriori
-
Sets class association rule mining
- setCardinality(BigInteger) - Method in class weka.core.pmml.jaxbbindings.Counts
-
Sets the value of the cardinality property.
- setCardinality(int) - Method in class weka.datagenerators.classifiers.classification.BayesNet
-
Sets the cardinality of the attributes (incl class attribute)
- setCaseSensitive(boolean) - Method in class weka.gui.scripting.SyntaxDocument
-
Sets whether the keywords are case-sensitive or not.
- setCastInteger(String) - Method in class weka.core.pmml.jaxbbindings.Target
-
Sets the value of the castInteger property.
- setCategoricalScoringMethod(CATSCORINGMETHOD) - Method in class weka.core.pmml.jaxbbindings.NearestNeighborModel
-
Sets the value of the categoricalScoringMethod property.
- setCategories(Categories) - Method in class weka.core.pmml.jaxbbindings.Predictor
-
Sets the value of the categories property.
- setCategory(String) - Method in class weka.core.pmml.jaxbbindings.MultivariateStat
-
Sets the value of the category property.
- setCell(int, int, Object) - Method in class weka.classifiers.CostMatrix
-
Set the value of a particular cell in the matrix
- setCenter(double) - Method in class weka.gui.treevisualizer.Node
-
Set the value of center.
- setCenterData(boolean) - Method in class weka.attributeSelection.PrincipalComponents
-
Set whether to center (rather than standardize) the data.
- setCenterData(boolean) - Method in class weka.filters.unsupervised.attribute.PrincipalComponents
-
Set whether to center (rather than standardize) the data.
- setCenteredLocation() - Method in class weka.gui.arffviewer.ArffViewer
-
positions the window at the center of the screen
- setChanged(boolean) - Method in class weka.gui.arffviewer.ArffPanel
-
can only reset the changed state to FALSE
- setChar(Character) - Method in class weka.core.Trie.TrieNode
-
sets the character this node represents
- setCharSet(String) - Method in class weka.core.converters.TextDirectoryLoader
-
Set the character set to use when reading text files (an empty string
indicates that the default character set will be used).
- setChartingEvalWindowSize(int) - Method in class weka.gui.beans.IncrementalClassifierEvaluator
-
Set whether to compute evaluation for charting over a fixed sized window of
the most recent instances (rather than the whole stream).
- setChartingEvalWindowSize(int) - Method in class weka.knowledgeflow.steps.IncrementalClassifierEvaluator
-
Set whether to compute evaluation for charting over a fixed sized window of
the most recent instances (rather than the whole stream).
- setChebychev(Chebychev) - Method in class weka.core.pmml.jaxbbindings.ComparisonMeasure
-
Sets the value of the chebychev property.
- setChecked(int, boolean) - Method in class weka.gui.CheckBoxList.CheckBoxListModel
-
sets the checked state of the element at the given index
- setChecked(int, boolean) - Method in class weka.gui.CheckBoxList
-
sets the checked state of the element at the given index
- setCheckErrorRate(boolean) - Method in class weka.classifiers.rules.JRip
-
Sets whether to check for error rate is in stopping criterion
- setChecksTurnedOff(boolean) - Method in class weka.classifiers.functions.SMO
-
Disables or enables the checks (which could be time-consuming).
- setChecksTurnedOff(boolean) - Method in class weka.classifiers.functions.supportVector.Kernel
-
These methods remain for backwards compatibility.
- setChecksTurnedOff(boolean) - Method in class weka.filters.unsupervised.attribute.KernelFilter
-
Disables or enables the checks (which could be time-consuming).
- setChild(String, HNode) - Method in class weka.classifiers.trees.ht.SplitNode
-
Add a child
- setChildField(String) - Method in class weka.core.pmml.jaxbbindings.ChildParent
-
Sets the value of the childField property.
- setChiSquareValue(Double) - Method in class weka.core.pmml.jaxbbindings.MultivariateStat
-
Sets the value of the chiSquareValue property.
- setCindex(int, double, double) - Method in class weka.gui.visualize.AttributePanel
-
Set the index of the attribute by which to colour the data.
- setCindex(int) - Method in class weka.gui.visualize.AttributePanel
-
Set the index of the attribute by which to colour the data.
- setCindex(int) - Method in class weka.gui.visualize.ClassPanel
-
Set the index of the attribute to display coloured labels for
- setCindex(int) - Method in class weka.gui.visualize.Plot2D
-
Set the index of the attribute to use for colouring
- setCindex(int) - Method in class weka.gui.visualize.PlotData2D
-
Set the colouring index of the data
- setCityBlock(CityBlock) - Method in class weka.core.pmml.jaxbbindings.ComparisonMeasure
-
Sets the value of the cityBlock property.
- setClass(Attribute) - Method in class weka.core.Instances
-
Sets the class attribute.
- setClassColumn(String) - Method in class weka.gui.beans.ClassAssigner
-
- setClassColumn(String) - Method in class weka.knowledgeflow.steps.ClassAssigner
-
Set the class column to use
- setClassFlag(boolean) - Method in class weka.datagenerators.ClusterGenerator
-
Sets the class flag, if class flag is set, the cluster is listed as class
atrribute in an extra attribute.
- setClassForIRStatistics(int) - Method in class weka.experiment.ClassifierSplitEvaluator
-
Set the value of ClassForIRStatistics.
- setClassificationMethod(SVMCLASSIFICATIONMETHOD) - Method in class weka.core.pmml.jaxbbindings.SupportVectorMachineModel
-
Sets the value of the classificationMethod property.
- setClassifier(Classifier) - Method in class weka.attributeSelection.ClassifierAttributeEval
-
Set the classifier to use for accuracy estimation
- setClassifier(Classifier) - Method in class weka.attributeSelection.ClassifierSubsetEval
-
Set the classifier to use for accuracy estimation
- setClassifier(Classifier) - Method in class weka.attributeSelection.WrapperSubsetEval
-
Set the classifier to use for accuracy estimation
- setClassifier(Classifier) - Method in class weka.classifiers.BVDecompose
-
Set the classifiers being analysed
- setClassifier(Classifier) - Method in class weka.classifiers.BVDecomposeSegCVSub
-
Set the classifiers being analysed
- setClassifier(Classifier) - Method in class weka.classifiers.CheckClassifier
-
Set the classifier for boosting.
- setClassifier(Classifier) - Method in class weka.classifiers.CheckSource
-
Sets the classifier to use for the comparison.
- setClassifier(Classifier) - Method in class weka.classifiers.SingleClassifierEnhancer
-
Set the base learner.
- setClassifier(Classifier) - Method in class weka.classifiers.trees.RandomForest
-
This method only accepts RandomTree arguments.
- setClassifier(Classifier) - Method in class weka.experiment.ClassifierSplitEvaluator
-
Sets the classifier.
- setClassifier(Classifier) - Method in class weka.experiment.RegressionSplitEvaluator
-
Sets the classifier.
- setClassifier(Classifier) - Method in class weka.filters.supervised.attribute.AddClassification
-
Sets the classifier to classify instances with.
- setClassifier(Classifier) - Method in class weka.filters.unsupervised.instance.RemoveMisclassified
-
Sets the classifier to classify instances with.
- setClassifier(Classifier) - Method in class weka.gui.beans.BatchClassifierEvent
-
Set the classifier
- setClassifier(Classifier) - Method in class weka.gui.beans.IncrementalClassifierEvent
-
- setClassifier(Classifier) - Method in class weka.gui.boundaryvisualizer.BoundaryPanel
-
Set the classifier to use.
- setClassifier(Classifier) - Method in class weka.gui.boundaryvisualizer.BoundaryVisualizer
-
Set a classifier to use
- setClassifier(Classifier) - Method in class weka.gui.boundaryvisualizer.RemoteBoundaryVisualizerSubTask
-
Set the classifier to use
- setClassifier(Classifier) - Method in class weka.gui.explorer.ClassifierErrorsPlotInstances
-
Sets the classifier used for making the predictions.
- setClassifier(Classifier) - Method in class weka.knowledgeflow.steps.Classifier
-
Set the classifier to train
- setClassifierName(String) - Method in class weka.experiment.ClassifierSplitEvaluator
-
Set the Classifier to use, given it's class name.
- setClassifierName(String) - Method in class weka.experiment.RegressionSplitEvaluator
-
Set the Classifier to use, given it's class name.
- setClassifierPanel(ClassifierPanel) - Method in interface weka.gui.explorer.ClassifierPanelLaunchHandlerPlugin
-
Allows the classifier panel to pass in a reference to
itself
- setClassifiers(Classifier[]) - Method in class weka.classifiers.meta.MultiScheme
-
Sets the list of possible classifers to choose from.
- setClassifiers(Classifier[]) - Method in class weka.classifiers.MultipleClassifiersCombiner
-
Sets the list of possible classifers to choose from.
- setClassifierTemplate(Classifier) - Method in class weka.gui.beans.Classifier
-
Set the template classifier for this wrapper
- setClassifyIterations(int) - Method in class weka.classifiers.BVDecomposeSegCVSub
-
Sets the number of times an instance is classified
- setClassIndex(int) - Method in class weka.associations.Apriori
-
Sets the class index
- setClassIndex(int) - Method in interface weka.associations.CARuleMiner
-
Sets the class index for the class association rule miner
- setClassIndex(int) - Method in class weka.associations.FilteredAssociator
-
Sets the class index
- setClassIndex(int) - Method in class weka.classifiers.BVDecompose
-
Sets index of attribute to discretize on
- setClassIndex(int) - Method in class weka.classifiers.BVDecomposeSegCVSub
-
Sets index of attribute to discretize on
- setClassIndex(int) - Method in class weka.classifiers.CheckSource
-
Sets the class index of the dataset.
- setClassIndex(String) - Method in class weka.core.converters.JSONSaver
-
Sets index of the class attribute.
- setClassIndex(String) - Method in class weka.core.converters.LibSVMSaver
-
Sets index of the class attribute.
- setClassIndex(String) - Method in class weka.core.converters.SVMLightSaver
-
Sets index of the class attribute.
- setClassIndex(String) - Method in class weka.core.converters.XRFFSaver
-
Sets index of the class attribute.
- setClassIndex(String) - Method in class weka.core.FindWithCapabilities
-
sets the class index, -1 for none, first and last are also valid.
- setClassIndex(int) - Method in class weka.core.Instances
-
Sets the class index of the set.
- setClassIndex(int) - Method in class weka.core.TestInstances
-
sets the class index (0-based)
- setClassIndex(int) - Method in class weka.filters.CheckSource
-
Sets the class index of the dataset.
- setClassIndex(String) - Method in class weka.filters.unsupervised.attribute.ClassAssigner
-
sets the class index.
- setClassIndex(int) - Method in class weka.filters.unsupervised.instance.RemoveMisclassified
-
Sets the attribute on which misclassifications are based.
- setClassIndex(int) - Method in class weka.gui.explorer.ClassifierErrorsPlotInstances
-
Sets the 0-based class index.
- setClassLabels(ClassLabels) - Method in class weka.core.pmml.jaxbbindings.ConfusionMatrix
-
Sets the value of the classLabels property.
- setClassMissing() - Method in class weka.core.AbstractInstance
-
Sets the class value of an instance to be "missing".
- setClassMissing() - Method in interface weka.core.Instance
-
Sets the class value of an instance to be "missing".
- setClassname(String) - Method in class weka.core.AllJavadoc
-
sets the classname of the class to generate the Javadoc for
- setClassname(String) - Method in class weka.core.Javadoc
-
sets the classname of the class to generate the Javadoc for
- setClassname(String) - Method in class weka.core.ListOptions
-
sets the classname of the class to generate the Javadoc for
- setClassName(String) - Method in class weka.filters.unsupervised.attribute.NumericTransform
-
Sets the class containing the transformation method.
- setClassOrder(int) - Method in class weka.filters.supervised.attribute.ClassOrder
-
Set the wanted class order
- setClassType(int) - Method in class weka.core.TestInstances
-
sets the class attribute type
- setClassType(Class<?>) - Method in class weka.gui.GenericObjectEditor
-
Sets the class of values that can be edited.
- setClassValue(double) - Method in class weka.core.AbstractInstance
-
Sets the class value of an instance to the given value (internal
floating-point format).
- setClassValue(String) - Method in class weka.core.AbstractInstance
-
Sets the class value of an instance to the given value.
- setClassValue(double) - Method in interface weka.core.Instance
-
Sets the class value of an instance to the given value (internal
floating-point format).
- setClassValue(String) - Method in interface weka.core.Instance
-
Sets the class value of an instance to the given value.
- setClassValue(String) - Method in class weka.gui.beans.ClassValuePicker
-
Set the class value considered to be the "positive" class value.
- setClassValue(String) - Method in class weka.knowledgeflow.steps.ClassValuePicker
-
Set the class value considered to be the "positive" class value.
- setClassValueIndex(int) - Method in class weka.classifiers.meta.IterativeClassifierOptimizer
-
Set the class value index to use
- setClearEachDataset(boolean) - Method in class weka.gui.streams.InstanceViewer
-
- setClip(int, int, int, int) - Method in class weka.gui.visualize.PostscriptGraphics
-
Not implemented
- setClip(Shape) - Method in class weka.gui.visualize.PostscriptGraphics
-
Not implemented
- setCloseTo(double) - Method in class weka.filters.unsupervised.attribute.NumericCleaner
-
Set the "close to" number.
- setCloseToDefault(double) - Method in class weka.filters.unsupervised.attribute.NumericCleaner
-
Set the "close to" default.
- setCloseToTolerance(double) - Method in class weka.filters.unsupervised.attribute.NumericCleaner
-
Set the "close to" Tolerance.
- setClosure(String) - Method in class weka.core.pmml.jaxbbindings.Interval
-
Sets the value of the closure property.
- setClusterCanopyAssignments(List<long[]>) - Method in class weka.clusterers.Canopy
-
Set the canopies that each canopy (cluster center) is within T1 distance of
- setClusterDefinitions(ClusterDefinition[]) - Method in class weka.datagenerators.clusterers.SubspaceCluster
-
sets the clusters to use
- setClusterer(Clusterer) - Method in class weka.attributeSelection.UnsupervisedSubsetEvaluator
-
Set the clusterer to use
- setClusterer(Clusterer) - Method in class weka.clusterers.CheckClusterer
-
Set the clusterer for testing.
- setClusterer(Clusterer) - Method in class weka.clusterers.ClusterEvaluation
-
set the clusterer
- setClusterer(Clusterer) - Method in class weka.clusterers.MakeDensityBasedClusterer
-
Sets the clusterer to wrap.
- setClusterer(Clusterer) - Method in class weka.clusterers.SingleClustererEnhancer
-
Set the base clusterer.
- setClusterer(DensityBasedClusterer) - Method in class weka.experiment.DensityBasedClustererSplitEvaluator
-
Sets the clusterer.
- setClusterer(Clusterer) - Method in class weka.filters.unsupervised.attribute.AddCluster
-
Sets the clusterer to assign clusters with.
- setClusterer(Clusterer) - Method in class weka.gui.beans.Clusterer
-
Set the clusterer for this wrapper
- setClusterer(Clusterer) - Method in class weka.gui.explorer.ClustererAssignmentsPlotInstances
-
Sets the classifier used for making the predictions.
- setClusterer(Clusterer) - Method in class weka.knowledgeflow.steps.Clusterer
-
Set the clusterer to train
- setClustererName(String) - Method in class weka.experiment.DensityBasedClustererSplitEvaluator
-
Set the Clusterer to use, given it's class name.
- setClustererPanel(ClustererPanel) - Method in interface weka.gui.explorer.ClustererPanelLaunchHandlerPlugin
-
Allows the clusterer panel to pass in a reference to
itself
- setClusterEvaluation(ClusterEvaluation) - Method in class weka.gui.explorer.ClustererAssignmentsPlotInstances
-
Sets the cluster evaluation object to use.
- setClusteringModel(ClusteringModel) - Method in class weka.core.pmml.jaxbbindings.Segment
-
Sets the value of the clusteringModel property.
- setClusterSubType(SelectedTag) - Method in class weka.datagenerators.clusterers.SubspaceClusterDefinition
-
Sets the cluster sub type.
- setClusterType(SelectedTag) - Method in class weka.datagenerators.clusterers.SubspaceClusterDefinition
-
Sets the cluster type.
- setCoef0(Double) - Method in class weka.core.pmml.jaxbbindings.PolynomialKernelType
-
Sets the value of the coef0 property.
- setCoef0(Double) - Method in class weka.core.pmml.jaxbbindings.SigmoidKernelType
-
Sets the value of the coef0 property.
- setCoefficient(double) - Method in class weka.core.pmml.jaxbbindings.CategoricalPredictor
-
Sets the value of the coefficient property.
- setCoefficient(double) - Method in class weka.core.pmml.jaxbbindings.NumericPredictor
-
Sets the value of the coefficient property.
- setCoefficient(double) - Method in class weka.core.pmml.jaxbbindings.PredictorTerm
-
Sets the value of the coefficient property.
- setCoefficients(Coefficients) - Method in class weka.core.pmml.jaxbbindings.SupportVectorMachine
-
Sets the value of the coefficients property.
- setCol(BigInteger) - Method in class weka.core.pmml.jaxbbindings.MatCell
-
Sets the value of the col property.
- setColHidden(int, boolean) - Method in class weka.experiment.ResultMatrix
-
sets the hidden status of the column (if the index is valid).
- setCollapseTree(boolean) - Method in class weka.classifiers.trees.J48
-
Set the value of collapseTree.
- setCollectPredictionsForVisAndAUC(boolean) - Method in class weka.knowledgeflow.steps.ClassifierPerformanceEvaluator
-
- setColName(int, String) - Method in class weka.experiment.ResultMatrix
-
sets the name of the column (if the index is valid).
- setColNameWidth(int) - Method in class weka.experiment.ResultMatrix
-
sets the width for the column names (0 = optimal).
- setColor(Color) - Method in class weka.gui.treevisualizer.Node
-
Set the value of color.
- setColor(Color) - Method in class weka.gui.visualize.PostscriptGraphics
-
Set current pen color.
- setColOrder(int[]) - Method in class weka.experiment.ResultMatrix
-
sets the ordering of the columns, null means default.
- setColoringIndex(int) - Method in class weka.gui.AttributeVisualizationPanel
-
Set the coloring (class) index for the plot
- setColoringIndex(int) - Method in class weka.gui.beans.AttributeSummarizer
-
Set the coloring index for the attribute summary plots
- setColors(ArrayList<Color>) - Method in class weka.gui.boundaryvisualizer.BoundaryPanel
-
Set a vector of Color objects for the classes
- setColourIndex(int, boolean) - Method in class weka.gui.visualize.VisualizePanel
-
Set the index for colouring.
- setColourIndex(int) - Method in class weka.gui.visualize.VisualizePanel
-
Sets the index used for colouring.
- setColours(ArrayList<Color>) - Method in class weka.gui.visualize.AttributePanel
-
Sets a list of colours to use for colouring data points
- setColours(ArrayList<Color>) - Method in class weka.gui.visualize.ClassPanel
-
Set a list of colours to use for colouring labels
- setColours(ArrayList<Color>) - Method in class weka.gui.visualize.Plot2D
-
Set a list of colours to use when colouring points according to class
values or cluster numbers
- setColumn(int, double[]) - Method in class weka.core.Matrix
-
Deprecated.
Sets a column of the matrix to the given column.
- setColumn(String) - Method in class weka.core.pmml.jaxbbindings.FieldColumnPair
-
Sets the value of the column property.
- setColumn(String) - Method in class weka.core.pmml.jaxbbindings.InstanceField
-
Sets the value of the column property.
- setColumn(String) - Method in class weka.core.pmml.jaxbbindings.VerificationField
-
Sets the value of the column property.
- setCombinationRule(SelectedTag) - Method in class weka.classifiers.meta.Vote
-
Sets the combination rule to use.
- setCompareFunction(COMPAREFUNCTION) - Method in class weka.core.pmml.jaxbbindings.ClusteringField
-
Sets the value of the compareFunction property.
- setCompareFunction(COMPAREFUNCTION) - Method in class weka.core.pmml.jaxbbindings.ComparisonMeasure
-
Sets the value of the compareFunction property.
- setCompareFunction(COMPAREFUNCTION) - Method in class weka.core.pmml.jaxbbindings.KNNInput
-
Sets the value of the compareFunction property.
- setComparisons(Comparisons) - Method in class weka.core.pmml.jaxbbindings.ClusteringField
-
Sets the value of the comparisons property.
- setComponent(JComponent) - Method in class weka.gui.visualize.JComponentWriter
-
sets the component to print to an output format
- setComposite(Composite) - Method in class weka.gui.visualize.PostscriptGraphics
-
- setCompoundPredicate(CompoundPredicate) - Method in class weka.core.pmml.jaxbbindings.Attribute
-
Sets the value of the compoundPredicate property.
- setCompoundPredicate(CompoundPredicate) - Method in class weka.core.pmml.jaxbbindings.CompoundRule
-
Sets the value of the compoundPredicate property.
- setCompoundPredicate(CompoundPredicate) - Method in class weka.core.pmml.jaxbbindings.Segment
-
Sets the value of the compoundPredicate property.
- setCompoundPredicate(CompoundPredicate) - Method in class weka.core.pmml.jaxbbindings.SimpleRule
-
Sets the value of the compoundPredicate property.
- setCompressOutput(boolean) - Method in class weka.core.converters.ArffSaver
-
Sets whether to compress the output.
- setCompressOutput(boolean) - Method in class weka.core.converters.JSONSaver
-
Sets whether to compress the output.
- setCompressOutput(boolean) - Method in class weka.core.converters.XRFFSaver
-
Sets whether to compress the output.
- setComputeAttributeImportance(boolean) - Method in class weka.classifiers.trees.RandomForest
-
Set whether to compute and output attribute importance scores
- setComputeImpurityDecreases(boolean) - Method in class weka.classifiers.trees.RandomTree
-
Set whether to compute/store impurity decreases for variable importance
in RandomForest
- setComputeMaxRowsInParallel(int) - Method in class weka.knowledgeflow.steps.BoundaryPlotter
-
Set the maximum number of threads to use when computing image rows
- setConfidence(BigDecimal) - Method in class weka.core.pmml.jaxbbindings.AssociationRule
-
Sets the value of the confidence property.
- setConfidence(BigDecimal) - Method in class weka.core.pmml.jaxbbindings.ScoreDistribution
-
Sets the value of the confidence property.
- setConfidence(double) - Method in class weka.core.pmml.jaxbbindings.SequenceRule
-
Sets the value of the confidence property.
- setConfidence(Double) - Method in class weka.core.pmml.jaxbbindings.SimpleRule
-
Sets the value of the confidence property.
- setConfidenceFactor(float) - Method in class weka.classifiers.rules.PART
-
Set the value of CF.
- setConfidenceFactor(float) - Method in class weka.classifiers.trees.J48
-
Set the value of CF.
- setConfidenceLevel(BigDecimal) - Method in class weka.core.pmml.jaxbbindings.MultivariateStat
-
Sets the value of the confidenceLevel property.
- setConfidenceLowerBound(Double) - Method in class weka.core.pmml.jaxbbindings.MultivariateStat
-
Sets the value of the confidenceLowerBound property.
- setConfidenceUpperBound(Double) - Method in class weka.core.pmml.jaxbbindings.MultivariateStat
-
Sets the value of the confidenceUpperBound property.
- setConfirmExit(boolean) - Method in class weka.gui.arffviewer.ArffViewer
-
whether to present a MessageBox on Exit or not
- setConfirmExit(boolean) - Method in class weka.gui.arffviewer.ArffViewerMainPanel
-
whether to present a MessageBox on Exit or not
- setConfusionMatrix(ConfusionMatrix) - Method in class weka.core.pmml.jaxbbindings.PredictiveModelQuality
-
Sets the value of the confusionMatrix property.
- setConnectionName(String) - Method in class weka.knowledgeflow.Data
-
Set the connection name for this Data object
- setConnections(Vector<BeanConnection>, Integer...) - Static method in class weka.gui.beans.BeanConnection
-
Describe setConnections
method here.
- setConnectPoints(boolean[]) - Method in class weka.gui.visualize.PlotData2D
-
Set whether consecutive points should be connected by lines
- setConnectPoints(ArrayList<Boolean>) - Method in class weka.gui.visualize.PlotData2D
-
Set whether consecutive points should be connected by lines
- setConsequent(double) - Method in class weka.classifiers.rules.JRip.RipperRule
-
Sets the internal representation of the class label to be predicted
- setConsequent(String) - Method in class weka.core.pmml.jaxbbindings.AssociationRule
-
Sets the value of the consequent property.
- setConservativeForwardSelection(boolean) - Method in class weka.attributeSelection.GreedyStepwise
-
Set whether attributes should continue to be added during a forward search
as long as merit does not decrease
- setConstant(Constant) - Method in class weka.core.pmml.jaxbbindings.DefineFunction
-
Sets the value of the constant property.
- setConstant(Constant) - Method in class weka.core.pmml.jaxbbindings.DerivedField
-
Sets the value of the constant property.
- setConstant(Constant) - Method in class weka.core.pmml.jaxbbindings.OutputField
-
Sets the value of the constant property.
- setConsumeNonMatching(boolean) - Method in class weka.gui.beans.SubstringLabeler
-
Set whether instances that do not match any of the rules should be
"consumed" rather than output with a missing value set for the new
attribute.
- setConsumeNonMatching(boolean) - Method in class weka.gui.beans.SubstringLabelerRules
-
Set whether to consume non matching instances.
- setConsumeNonMatching(boolean) - Method in class weka.knowledgeflow.steps.SubstringLabeler
-
Set whether instances that do not match any of the rules should be
"consumed" rather than output with a missing value set for the new
attribute.
- setContainChildBalls(boolean) - Method in class weka.core.neighboursearch.balltrees.BallTreeConstructor
-
Sets whether if a parent ball should completely enclose its two child
balls.
- setContent(String) - Method in class weka.core.pmml.jaxbbindings.ArrayType
-
Sets the value of the content property.
- setContent(String) - Method in class weka.gui.scripting.Script
-
Sets the content.
- setContentType(String) - Method in class weka.gui.DocumentPrinting
-
Sets the content type.
- setContinuousScoringMethod(CONTSCORINGMETHOD) - Method in class weka.core.pmml.jaxbbindings.NearestNeighborModel
-
Sets the value of the continuousScoringMethod property.
- setContrastMatrixType(String) - Method in class weka.core.pmml.jaxbbindings.Predictor
-
Sets the value of the contrastMatrixType property.
- setContStats(ContStats) - Method in class weka.core.pmml.jaxbbindings.UnivariateStats
-
Sets the value of the contStats property.
- setConvertNominal(boolean) - Method in class weka.classifiers.trees.LMT
-
Set the value of convertNominal.
- setCoord1(Float) - Method in class weka.core.pmml.jaxbbindings.KohonenMap
-
Sets the value of the coord1 property.
- setCoord2(Float) - Method in class weka.core.pmml.jaxbbindings.KohonenMap
-
Sets the value of the coord2 property.
- setCoord3(Float) - Method in class weka.core.pmml.jaxbbindings.KohonenMap
-
Sets the value of the coord3 property.
- setCopyright(String) - Method in class weka.core.pmml.jaxbbindings.Header
-
Sets the value of the copyright property.
- setCoreConvertersOnly(boolean) - Method in class weka.gui.ConverterFileChooser
-
Whether to display only the hardocded core converters.
- setCorrelationFields(CorrelationFields) - Method in class weka.core.pmml.jaxbbindings.Correlations
-
Sets the value of the correlationFields property.
- setCorrelationMethods(CorrelationMethods) - Method in class weka.core.pmml.jaxbbindings.Correlations
-
Sets the value of the correlationMethods property.
- setCorrelations(Correlations) - Method in class weka.core.pmml.jaxbbindings.ModelExplanation
-
Sets the value of the correlations property.
- setCorrelationValues(CorrelationValues) - Method in class weka.core.pmml.jaxbbindings.Correlations
-
Sets the value of the correlationValues property.
- setCostMatrix(CostMatrix) - Method in class weka.classifiers.meta.CostSensitiveClassifier
-
Sets the misclassification cost matrix.
- setCostMatrixSource(SelectedTag) - Method in class weka.classifiers.meta.CostSensitiveClassifier
-
Sets the source location of the cost matrix.
- setCostMatrixString(String) - Method in class weka.knowledgeflow.steps.ClassifierPerformanceEvaluator
-
Set the cost matrix to use as a string
- setCount(double) - Method in class weka.core.pmml.jaxbbindings.FieldValueCount
-
Sets the value of the count property.
- setCount(double) - Method in class weka.core.pmml.jaxbbindings.TargetValueCount
-
Sets the value of the count property.
- setCount(BigInteger) - Method in class weka.core.pmml.jaxbbindings.TimeException
-
Sets the value of the count property.
- setCount(int, double) - Method in class weka.experiment.ResultMatrix
-
sets the count for the row (if the index is valid).
- setCounter(int) - Method in class weka.associations.ItemSet
-
Sets the counter
- setCounts(Counts) - Method in class weka.core.pmml.jaxbbindings.PartitionFieldStats
-
Sets the value of the counts property.
- setCounts(Counts) - Method in class weka.core.pmml.jaxbbindings.UnivariateStats
-
Sets the value of the counts property.
- setCountTable(COUNTTABLETYPE) - Method in class weka.core.pmml.jaxbbindings.Baseline
-
Sets the value of the countTable property.
- setCountWidth(int) - Method in class weka.experiment.ResultMatrix
-
sets the width for the counts (0 = optimal).
- setCovariances(Covariances) - Method in class weka.core.pmml.jaxbbindings.Cluster
-
Sets the value of the covariances property.
- setCreatorApplication(Document) - Method in class weka.classifiers.pmml.consumer.PMMLClassifier
-
Set the name of the application (if specified) that created this
model
- setCreatorApplication(Document) - Method in interface weka.core.pmml.PMMLModel
-
Set the name of the application (if specified) that created this.
- setCriterion(String) - Method in class weka.core.pmml.jaxbbindings.RuleSelectionMethod
-
Sets the value of the criterion property.
- setCrossVal(int) - Method in class weka.classifiers.rules.DecisionTable
-
Sets the number of folds for cross validation (1 = leave one out)
- setCrossValidate(boolean) - Method in class weka.classifiers.lazy.IBk
-
Sets whether hold-one-out cross-validation will be used
to select the best k value.
- setCumHazard(double) - Method in class weka.core.pmml.jaxbbindings.BaselineCell
-
Sets the value of the cumHazard property.
- setCumulativeLink(CUMULATIVELINKFUNCTION) - Method in class weka.core.pmml.jaxbbindings.GeneralRegressionModel
-
Sets the value of the cumulativeLink property.
- setCurrentDirectory(String) - Method in class weka.gui.FileEnvironmentField
-
- setCurrentDirectory(File) - Method in class weka.gui.FileEnvironmentField
-
- setCurrentFilename(String) - Method in class weka.gui.arffviewer.ArffViewerMainPanel
-
sets the filename of the current tab
- setCurrentInstance(Instance) - Method in class weka.gui.beans.IncrementalClassifierEvent
-
Set the current instance for this event
- setCurrentTabTitleEditedStatus(boolean) - Method in class weka.gui.knowledgeflow.MainKFPerspective
-
Set the edited status for the current (visible) tab
- setCurrentZoomSetting(int) - Method in class weka.gui.beans.KnowledgeFlowApp.MainKFPerspective
-
- setCurveData(PlotData2D, Attribute) - Method in class weka.gui.beans.CostBenefitAnalysis
-
Set the threshold curve data to use.
- setCustomColour(Color) - Method in class weka.gui.visualize.PlotData2D
-
Set a custom colour to use for this plot.
- setCustomHeight(int) - Method in class weka.gui.visualize.JComponentWriter
-
sets the custom height to use
- setCustomName(String) - Method in class weka.gui.beans.Appender
-
Set a custom (descriptive) name for this bean
- setCustomName(String) - Method in class weka.gui.beans.Associator
-
Set a custom (descriptive) name for this bean
- setCustomName(String) - Method in interface weka.gui.beans.BeanCommon
-
Set a custom (descriptive) name for this bean
- setCustomName(String) - Method in class weka.gui.beans.ClassAssigner
-
Set a custom (descriptive) name for this bean
- setCustomName(String) - Method in class weka.gui.beans.Classifier
-
Set a custom (descriptive) name for this bean
- setCustomName(String) - Method in class weka.gui.beans.ClassifierPerformanceEvaluator
-
Set a custom (descriptive) name for this bean
- setCustomName(String) - Method in class weka.gui.beans.ClassValuePicker
-
Set a custom (descriptive) name for this bean
- setCustomName(String) - Method in class weka.gui.beans.Clusterer
-
Set a custom (descriptive) name for this bean
- setCustomName(String) - Method in class weka.gui.beans.ClustererPerformanceEvaluator
-
Set a custom (descriptive) name for this bean
- setCustomName(String) - Method in class weka.gui.beans.CostBenefitAnalysis
-
Set a custom (descriptive) name for this bean
- setCustomName(String) - Method in class weka.gui.beans.CrossValidationFoldMaker
-
Set a custom (descriptive) name for this bean
- setCustomName(String) - Method in class weka.gui.beans.DataVisualizer
-
Set a custom (descriptive) name for this bean
- setCustomName(String) - Method in class weka.gui.beans.Filter
-
Set a custom (descriptive) name for this bean
- setCustomName(String) - Method in class weka.gui.beans.FlowByExpression
-
- setCustomName(String) - Method in class weka.gui.beans.ImageSaver
-
- setCustomName(String) - Method in class weka.gui.beans.ImageViewer
-
- setCustomName(String) - Method in class weka.gui.beans.IncrementalClassifierEvaluator
-
Set a custom (descriptive) name for this bean
- setCustomName(String) - Method in class weka.gui.beans.InstanceStreamToBatchMaker
-
Set a custom (descriptive) name for this bean
- setCustomName(String) - Method in class weka.gui.beans.Join
-
Set a custom name for this step
- setCustomName(String) - Method in class weka.gui.beans.Loader
-
Set a custom (descriptive) name for this bean
- setCustomName(String) - Method in class weka.gui.beans.MetaBean
-
Set a custom (descriptive) name for this bean
- setCustomName(String) - Method in class weka.gui.beans.ModelPerformanceChart
-
Set a custom (descriptive) name for this bean
- setCustomName(String) - Method in class weka.gui.beans.PredictionAppender
-
Set a custom (descriptive) name for this bean
- setCustomName(String) - Method in class weka.gui.beans.Saver
-
Set a custom (descriptive) name for this bean
- setCustomName(String) - Method in class weka.gui.beans.SerializedModelSaver
-
Set a custom (descriptive) name for this bean
- setCustomName(String) - Method in class weka.gui.beans.Sorter
-
Set a custom (descriptive) name for this bean
- setCustomName(String) - Method in class weka.gui.beans.StripChart
-
Set a custom (descriptive) name for this bean
- setCustomName(String) - Method in class weka.gui.beans.SubstringLabeler
-
Set a custom (descriptive) name for this bean
- setCustomName(String) - Method in class weka.gui.beans.SubstringReplacer
-
Set a custom (descriptive) name for this bean
- setCustomName(String) - Method in class weka.gui.beans.TestSetMaker
-
Set a custom (descriptive) name for this bean
- setCustomName(String) - Method in class weka.gui.beans.TextSaver
-
- setCustomName(String) - Method in class weka.gui.beans.TextViewer
-
Set a custom (descriptive) name for this bean
- setCustomName(String) - Method in class weka.gui.beans.TrainingSetMaker
-
Set a custom (descriptive) name for this bean
- setCustomName(String) - Method in class weka.gui.beans.TrainTestSplitMaker
-
Set a custom (descriptive) name for this bean
- setCustomPropsFile(File) - Method in class weka.core.converters.DatabaseLoader
-
Sets the custom properties file to use.
- setCustomPropsFile(File) - Method in class weka.core.converters.DatabaseSaver
-
Sets the custom properties file to use.
- setCustomPropsFile(File) - Method in class weka.experiment.InstanceQuery
-
Sets the custom properties file to use.
- setCustomWidth(int) - Method in class weka.gui.visualize.JComponentWriter
-
sets the custom width to use
- setCutoff(double) - Method in class weka.clusterers.Cobweb
-
set the cutoff
- setCVisible(boolean) - Method in class weka.gui.treevisualizer.Node
-
Sets all the children of this node either to visible or invisible
- setCVParameters(Object[]) - Method in class weka.classifiers.meta.CVParameterSelection
-
Set method for CVParameters.
- setCVType(SelectedTag) - Method in class weka.classifiers.bayes.net.search.global.GlobalScoreSearchAlgorithm
-
set cross validation strategy to be used in searching for networks.
- setD00Parameter(double) - Method in class weka.core.pmml.jaxbbindings.BinarySimilarity
-
Sets the value of the d00Parameter property.
- setD01Parameter(double) - Method in class weka.core.pmml.jaxbbindings.BinarySimilarity
-
Sets the value of the d01Parameter property.
- setD10Parameter(double) - Method in class weka.core.pmml.jaxbbindings.BinarySimilarity
-
Sets the value of the d10Parameter property.
- setD11Parameter(double) - Method in class weka.core.pmml.jaxbbindings.BinarySimilarity
-
Sets the value of the d11Parameter property.
- setData(Instances) - Method in class weka.classifiers.bayes.net.EditableBayesNet
-
Assuming a network structure is defined and we want to learn from data, the
data set must be put if correct order first and possibly
discretized/missing values filled in before proceeding to CPT learning.
- setData(Instances) - Method in class weka.classifiers.rules.RuleStats
-
Set the data of the stats, overwriting the old one if any
- setData(String) - Method in class weka.knowledgeflow.steps.DataGrid
-
Set the data to be output by this DataGrid
in textual ARFF format.
- setDatabaseURL(String) - Method in class weka.experiment.DatabaseUtils
-
Set the value of DatabaseURL.
- setDataDictionary(DataDictionary) - Method in class weka.core.pmml.jaxbbindings.PMML
-
Sets the value of the dataDictionary property.
- setDataFileName(String) - Method in class weka.classifiers.BVDecompose
-
Sets the name of the data file used for the decomposition
- setDataFileName(String) - Method in class weka.classifiers.BVDecomposeSegCVSub
-
Sets the name of the dataset file.
- setDataGenerator(DataGenerator) - Method in class weka.gui.boundaryvisualizer.BoundaryPanel
-
Set the data generator to use for generating new instances
- setDataGenerator(DataGenerator) - Method in class weka.gui.boundaryvisualizer.RemoteBoundaryVisualizerSubTask
-
Set the density estimator to use
- setDataGenerator(DataGenerator) - Method in class weka.knowledgeflow.steps.DataGenerator
-
Set the data generator
- setDataName(String) - Method in class weka.core.pmml.jaxbbindings.ClusteringModelQuality
-
Sets the value of the dataName property.
- setDataName(String) - Method in class weka.core.pmml.jaxbbindings.PredictiveModelQuality
-
Sets the value of the dataName property.
- setDataPoint(double[]) - Method in class weka.gui.beans.ChartEvent
-
Set the data point
- setDataset(File) - Method in class weka.classifiers.CheckSource
-
Sets the dataset to use for testing.
- setDataset(Instances) - Method in class weka.core.AbstractInstance
-
Sets the reference to the dataset.
- setDataset(Instances) - Method in interface weka.core.Instance
-
Sets the reference to the dataset.
- setDataset(File) - Method in class weka.filters.CheckSource
-
Sets the dataset to use for testing.
- setDataSet(PlotData2D, Attribute) - Method in class weka.gui.CostBenefitAnalysisPanel
-
Set the threshold data for the panel to use.
- setDatasetFormat(Instances) - Method in class weka.datagenerators.DataGenerator
-
Sets the format of the dataset that is to be generated.
- setDatasetKeyColumns(Range) - Method in class weka.experiment.PairedTTester
-
Set the value of DatasetKeyColumns.
- setDatasetKeyColumns(Range) - Method in interface weka.experiment.Tester
-
Set the value of DatasetKeyColumns.
- setDatasetKeyFromDialog() - Method in class weka.gui.experiment.ResultsPanel
-
- setDatasets(DefaultListModel) - Method in class weka.experiment.Experiment
-
Set the datasets to use in the experiment
- setDatasets(DefaultListModel) - Method in class weka.experiment.RemoteExperiment
-
Set the datasets to use in the experiment
- setDataType(DATATYPE) - Method in class weka.core.pmml.jaxbbindings.Constant
-
Sets the value of the dataType property.
- setDataType(DATATYPE) - Method in class weka.core.pmml.jaxbbindings.DataField
-
Sets the value of the dataType property.
- setDataType(DATATYPE) - Method in class weka.core.pmml.jaxbbindings.DefineFunction
-
Sets the value of the dataType property.
- setDataType(DATATYPE) - Method in class weka.core.pmml.jaxbbindings.DerivedField
-
Sets the value of the dataType property.
- setDataType(DATATYPE) - Method in class weka.core.pmml.jaxbbindings.Discretize
-
Sets the value of the dataType property.
- setDataType(DATATYPE) - Method in class weka.core.pmml.jaxbbindings.MapValues
-
Sets the value of the dataType property.
- setDataType(DATATYPE) - Method in class weka.core.pmml.jaxbbindings.OutputField
-
Sets the value of the dataType property.
- setDataType(DATATYPE) - Method in class weka.core.pmml.jaxbbindings.ParameterField
-
Sets the value of the dataType property.
- setDataType(DATATYPE) - Method in class weka.core.pmml.jaxbbindings.ResultField
-
Sets the value of the dataType property.
- setDataType(int) - Method in class weka.gui.beans.xml.XMLBeans
-
sets what kind of data is to be read/written
- setDataUsage(String) - Method in class weka.core.pmml.jaxbbindings.PredictiveModelQuality
-
Sets the value of the dataUsage property.
- setDateAttributes(String) - Method in class weka.core.converters.CSVLoader
-
Set the attribute range to be forced to type date.
- setDateFormat(String) - Method in class weka.core.converters.CSVLoader
-
Set the format to use for parsing date values.
- setDateFormat(String) - Method in class weka.filters.unsupervised.attribute.Add
-
Set the date format, complying to ISO-8601.
- setDateFormat(String) - Method in class weka.filters.unsupervised.attribute.ChangeDateFormat
-
Sets the output date format.
- setDateFormat(SimpleDateFormat) - Method in class weka.filters.unsupervised.attribute.ChangeDateFormat
-
Sets the output date format.
- setDateFormat(String) - Method in class weka.filters.unsupervised.attribute.NumericToDate
-
Sets the output date format.
- setDateFormat(SimpleDateFormat) - Method in class weka.filters.unsupervised.attribute.NumericToDate
-
Sets the output date format.
- setDateFormat(String) - Method in class weka.filters.unsupervised.attribute.ReplaceMissingWithUserConstant
-
Set the date format to use for parsing the date replacement constant
- setDateReplacementValue(String) - Method in class weka.filters.unsupervised.attribute.ReplaceMissingWithUserConstant
-
Set the date replacement value
- setDB(boolean) - Method in class weka.gui.beans.Loader
-
- setDebug(boolean) - Method in class weka.attributeSelection.CfsSubsetEval
-
Set whether to output debugging info
- setDebug(boolean) - Method in class weka.classifiers.AbstractClassifier
-
Set debugging mode.
- setDebug(boolean) - Method in class weka.classifiers.BVDecompose
-
Sets debugging mode
- setDebug(boolean) - Method in class weka.classifiers.BVDecomposeSegCVSub
-
Sets debugging mode
- setDebug(boolean) - Method in class weka.classifiers.functions.Logistic
-
Sets whether debugging output will be printed.
- setDebug(boolean) - Method in class weka.classifiers.functions.supportVector.Kernel
-
Enables or disables the output of debug information (if the derived kernel
supports that)
- setDebug(boolean) - Method in class weka.classifiers.meta.MultiScheme
-
Set debugging mode
- setDebug(boolean) - Method in class weka.classifiers.rules.JRip
-
Sets whether debug information is output to the console
- setDebug(boolean) - Method in class weka.classifiers.trees.RandomForest
-
Set debugging mode.
- setDebug(boolean) - Method in class weka.clusterers.AbstractClusterer
-
Set debugging mode.
- setDebug(boolean) - Method in class weka.clusterers.EM
-
Set debug mode - verbose output
- setDebug(boolean) - Method in class weka.core.Check
-
Set debugging mode
- setDebug(boolean) - Method in class weka.core.converters.TextDirectoryLoader
-
Sets whether to print some debug information.
- setDebug(boolean) - Method in class weka.core.Debug.Random
-
sets whether to print the generated random values or not
- setDebug(boolean) - Method in class weka.core.Optimization
-
Set whether in debug mode
- setDebug(boolean) - Method in class weka.core.stopwords.AbstractStopwords
-
Set debugging mode.
- setDebug(boolean) - Method in class weka.datagenerators.DataGenerator
-
Sets the debug flag.
- setDebug(boolean) - Method in class weka.estimators.CheckEstimator
-
Set debugging mode
- setDebug(boolean) - Method in class weka.estimators.Estimator
-
Set debugging mode.
- setDebug(boolean) - Method in class weka.experiment.DatabaseUtils
-
Sets whether there should be printed some debugging output to stderr or
not.
- setDebug(boolean) - Method in class weka.filters.Filter
-
Set debugging mode.
- setDebug(boolean) - Method in class weka.filters.unsupervised.attribute.AddExpression
-
Set debug mode.
- setDebug(boolean) - Method in class weka.gui.scripting.ScriptingPanel
-
Turns on/off debugging mode.
- setDebug(boolean) - Method in class weka.gui.SimpleCLIPanel.CommandlineCompletion
-
sets debug mode on/off.
- setDebug(boolean) - Method in class weka.gui.streams.InstanceCounter
-
- setDebug(boolean) - Method in class weka.gui.streams.InstanceJoiner
-
- setDebug(boolean) - Method in class weka.gui.streams.InstanceLoader
-
- setDebug(boolean) - Method in class weka.gui.streams.InstanceSavePanel
-
- setDebug(boolean) - Method in class weka.gui.streams.InstanceTable
-
- setDebug(boolean) - Method in class weka.gui.streams.InstanceViewer
-
- setDebuggingOutput(boolean) - Method in class weka.attributeSelection.GreedyStepwise
-
Set whether to output debugging info to the console
- setDecay(boolean) - Method in class weka.classifiers.functions.MultilayerPerceptron
-
- setDecimals(int) - Method in class weka.filters.unsupervised.attribute.NumericCleaner
-
Set the number of decimals to round to.
- setDecisions(Decisions) - Method in class weka.core.pmml.jaxbbindings.OutputField
-
Sets the value of the decisions property.
- setDefaultChild(String) - Method in class weka.core.pmml.jaxbbindings.Node
-
Sets the value of the defaultChild property.
- setDefaultConfidence(Double) - Method in class weka.core.pmml.jaxbbindings.RuleSet
-
Sets the value of the defaultConfidence property.
- setDefaultScore(String) - Method in class weka.core.pmml.jaxbbindings.RuleSet
-
Sets the value of the defaultScore property.
- setDefaultValue(String) - Method in class weka.core.pmml.jaxbbindings.Discretize
-
Sets the value of the defaultValue property.
- setDefaultValue(BigInteger) - Method in class weka.core.pmml.jaxbbindings.INTSparseArray
-
Sets the value of the defaultValue property.
- setDefaultValue(String) - Method in class weka.core.pmml.jaxbbindings.MapValues
-
Sets the value of the defaultValue property.
- setDefaultValue(Double) - Method in class weka.core.pmml.jaxbbindings.REALSparseArray
-
Sets the value of the defaultValue property.
- setDefaultValue(Double) - Method in class weka.core.pmml.jaxbbindings.TargetValue
-
Sets the value of the defaultValue property.
- setDefaultValue() - Method in class weka.gui.GenericObjectEditor
-
Sets the current object to be the default, taken as the first item in the
chooser.
- setDegree(Double) - Method in class weka.core.pmml.jaxbbindings.PolynomialKernelType
-
Sets the value of the degree property.
- setDegreesOfFreedom(double) - Method in class weka.core.pmml.jaxbbindings.AnovaRow
-
Sets the value of the degreesOfFreedom property.
- setDegreesOfFreedom(Double) - Method in class weka.core.pmml.jaxbbindings.PredictiveModelQuality
-
Sets the value of the degreesOfFreedom property.
- setDegreesOfFreedom(int) - Method in class weka.experiment.PairedStats
-
Sets the degrees of freedom (if calibration is required).
- setDeleteEmptyBins(boolean) - Method in class weka.classifiers.meta.RegressionByDiscretization
-
Sets whether to delete empty bins.
- setDeleteListener(ResultHistoryPanel.RDeleteListener) - Method in class weka.gui.ResultHistoryPanel
-
Set a listener for deletions from the list
- setDelimiter(DELIMITER2) - Method in class weka.core.pmml.jaxbbindings.Delimiter
-
Sets the value of the delimiter property.
- setDelimiters(String) - Method in class weka.core.tokenizers.CharacterDelimitedTokenizer
-
Set the value of delimiters.
- setDelimiters(String) - Method in class weka.gui.scripting.SyntaxDocument
-
Sets the delimiter characters to use.
- setDelta(double) - Method in class weka.associations.Apriori
-
Set the value of delta.
- setDelta(double) - Method in class weka.associations.FPGrowth
-
Set the value of delta.
- setDelta(double) - Method in class weka.classifiers.bayes.net.search.global.SimulatedAnnealing
-
Sets the m_fDelta.
- setDelta(double) - Method in class weka.classifiers.bayes.net.search.local.SimulatedAnnealing
-
Sets the m_fDelta.
- setDelta(Double) - Method in class weka.core.pmml.jaxbbindings.SeasonalityExpoSmooth
-
Sets the value of the delta property.
- setDensityBasedClusterer(DensityBasedClusterer) - Method in class weka.filters.unsupervised.attribute.ClusterMembership
-
Set the clusterer for use in filtering
- setDerivedField(DerivedField) - Method in class weka.core.pmml.jaxbbindings.BayesInput
-
Sets the value of the derivedField property.
- setDerivedField(DerivedField) - Method in class weka.core.pmml.jaxbbindings.NeuralInput
-
Sets the value of the derivedField property.
- setDerivedField(DerivedField) - Method in class weka.core.pmml.jaxbbindings.NeuralOutput
-
Sets the value of the derivedField property.
- setDescendantPopulationSize(int) - Method in class weka.classifiers.bayes.net.search.global.GeneticSearch
-
- setDescendantPopulationSize(int) - Method in class weka.classifiers.bayes.net.search.local.GeneticSearch
-
- setDescending(boolean) - Method in class weka.knowledgeflow.steps.Sorter.SortRule
-
Set whether the sort should be descending rather than ascending
- setDescription(String) - Method in class weka.core.pmml.jaxbbindings.Decision
-
Sets the value of the description property.
- setDescription(String) - Method in class weka.core.pmml.jaxbbindings.Decisions
-
Sets the value of the description property.
- setDescription(String) - Method in class weka.core.pmml.jaxbbindings.Header
-
Sets the value of the description property.
- setDescription(String) - Method in class weka.core.pmml.jaxbbindings.LinearKernelType
-
Sets the value of the description property.
- setDescription(String) - Method in class weka.core.pmml.jaxbbindings.PolynomialKernelType
-
Sets the value of the description property.
- setDescription(String) - Method in class weka.core.pmml.jaxbbindings.RadialBasisKernelType
-
Sets the value of the description property.
- setDescription(String) - Method in class weka.core.pmml.jaxbbindings.SigmoidKernelType
-
Sets the value of the description property.
- setDescription(String) - Method in class weka.core.Settings.SettingKey
-
Set the description (display name) of this setting
- setDesign(boolean) - Method in class weka.gui.beans.AttributeSummarizer
-
Set whether the appearance of this bean should be design or application
- setDesiredWeightOfInstancesPerInterval(double) - Method in class weka.filters.unsupervised.attribute.Discretize
-
Set the DesiredWeightOfInstancesPerInterval value.
- setDestination(File) - Method in class weka.core.converters.AbstractFileSaver
-
Sets the destination file (and directories if necessary).
- setDestination(OutputStream) - Method in class weka.core.converters.AbstractFileSaver
-
Sets the destination output stream.
- setDestination(File) - Method in class weka.core.converters.AbstractSaver
-
Default implementation throws an IOException.
- setDestination(OutputStream) - Method in class weka.core.converters.AbstractSaver
-
Default implementation throws an IOException.
- setDestination(OutputStream) - Method in class weka.core.converters.ArffSaver
-
Sets the destination output stream.
- setDestination(String, String, String) - Method in class weka.core.converters.DatabaseSaver
-
Sets the database url.
- setDestination(String) - Method in class weka.core.converters.DatabaseSaver
-
Sets the database url.
- setDestination() - Method in class weka.core.converters.DatabaseSaver
-
Sets the database url using the DatabaseUtils file.
- setDestination(OutputStream) - Method in class weka.core.converters.DictionarySaver
-
- setDestination(OutputStream) - Method in class weka.core.converters.JSONSaver
-
Sets the destination output stream.
- setDestination(File) - Method in interface weka.core.converters.Saver
-
Resets the Saver object and sets the destination to be
the supplied File object.
- setDestination(OutputStream) - Method in interface weka.core.converters.Saver
-
Resets the Saver object and sets the destination to be
the supplied InputStream.
- setDestination(OutputStream) - Method in class weka.core.converters.SerializedInstancesSaver
-
Sets the destination output stream.
- setDestination(OutputStream) - Method in class weka.core.converters.XRFFSaver
-
Sets the destination output stream.
- setDetectionPerAttribute(boolean) - Method in class weka.filters.unsupervised.attribute.InterquartileRange
-
Set whether an Outlier/ExtremeValue attribute pair is generated for each
numeric attribute ("true") or just one pair for all numeric attributes
together ("false").
- setDF(Double) - Method in class weka.core.pmml.jaxbbindings.MultivariateStat
-
Sets the value of the df property.
- setDf(BigInteger) - Method in class weka.core.pmml.jaxbbindings.PCell
-
Sets the value of the df property.
- setDiagDefault(Double) - Method in class weka.core.pmml.jaxbbindings.Matrix
-
Sets the value of the diagDefault property.
- setDictionaryFile(File) - Method in class weka.filters.unsupervised.attribute.FixedDictionaryStringToWordVector
-
Set the dictionary file to read from
- setDictionaryFileToSaveTo(File) - Method in class weka.filters.unsupervised.attribute.StringToWordVector
-
Set the dictionary file to save the dictionary to.
- setDictionaryIsBinary(boolean) - Method in class weka.filters.unsupervised.attribute.FixedDictionaryStringToWordVector
-
Set whether the dictionary file contains a binary serialized dictionary,
rather than a plain text one
- setDictionarySource(InputStream) - Method in class weka.filters.unsupervised.attribute.FixedDictionaryStringToWordVector
-
Set an input stream to load a binary serialized dictionary from, rather
than source it from a file
- setDictionarySource(Reader) - Method in class weka.filters.unsupervised.attribute.FixedDictionaryStringToWordVector
-
Set an input reader to load a textual dictionary from, rather than source
it from a file
- setDir(String) - Method in class weka.core.converters.AbstractFileSaver
-
Sets the directory where the instances should be stored
- setDir(String) - Method in class weka.core.converters.AbstractSaver
-
Default implementation throws an IOException.
- setDir(String) - Method in interface weka.core.converters.Saver
-
Sets the directory of the output file.
- setDir(String) - Method in class weka.core.Javadoc
-
sets the dir containing the file that is to be updated.
- setDirAndPrefix(String, String) - Method in class weka.core.converters.AbstractFileSaver
-
Sets the directory and the file prefix.
- setDirAndPrefix(String, String) - Method in class weka.core.converters.AbstractSaver
-
Default implementation throws an IOException.
- setDirAndPrefix(String, String) - Method in interface weka.core.converters.Saver
-
Sets the file prefix and the directory.
- setDirection(SelectedTag) - Method in class weka.attributeSelection.BestFirst
-
Set the search direction
- setDirectory(File) - Method in class weka.core.converters.TextDirectoryLoader
-
sets the source directory
- setDirectory(File) - Method in class weka.gui.beans.SerializedModelSaver
-
Set the directory that the model(s) will be saved into.
- setDiscardPredictions(boolean) - Method in class weka.classifiers.evaluation.Evaluation
-
Sets whether to discard predictions, ie, not storing them for future
reference via predictions() method in order to conserve memory.
- setDiscardPredictions(boolean) - Method in class weka.classifiers.Evaluation
-
Sets whether to discard predictions, ie, not storing them for future
reference via predictions() method in order to conserve memory.
- setDiscretize(Discretize) - Method in class weka.core.pmml.jaxbbindings.DefineFunction
-
Sets the value of the discretize property.
- setDiscretize(Discretize) - Method in class weka.core.pmml.jaxbbindings.DerivedField
-
Sets the value of the discretize property.
- setDiscretize(Discretize) - Method in class weka.core.pmml.jaxbbindings.OutputField
-
Sets the value of the discretize property.
- setDiscrStats(DiscrStats) - Method in class weka.core.pmml.jaxbbindings.UnivariateStats
-
Sets the value of the discrStats property.
- setDisplayConnectors(boolean) - Method in class weka.gui.beans.BeanVisual
-
Turn on/off the connector points
- setDisplayConnectors(boolean, Color) - Method in class weka.gui.beans.BeanVisual
-
Turn on/off the connector points
- setDisplayConnectors(boolean) - Method in class weka.gui.knowledgeflow.NoteVisual
-
Turn on/off the connector points
- setDisplayConnectors(boolean, Color) - Method in class weka.gui.knowledgeflow.NoteVisual
-
Turn on/off the connector points
- setDisplayConnectors(boolean) - Method in class weka.gui.knowledgeflow.StepVisual
-
Turn on/off the connector points
- setDisplayConnectors(boolean, Color) - Method in class weka.gui.knowledgeflow.StepVisual
-
Turn on/off the connector points
- setDisplayedFromDialog() - Method in class weka.gui.experiment.ResultsPanel
-
- setDisplayedResultsets(int[]) - Method in class weka.experiment.PairedTTester
-
Sets the indicies of the datasets to display (null
means all).
- setDisplayedResultsets(int[]) - Method in interface weka.experiment.Tester
-
Sets the indicies of the datasets to display (null
means all).
- setDisplayModelInOldFormat(boolean) - Method in class weka.classifiers.bayes.NaiveBayes
-
Set whether to display model output in the old, original format.
- setDisplayModelInOldFormat(boolean) - Method in class weka.clusterers.EM
-
Set whether to display model output in the old, original format.
- setDisplayName(String) - Method in class weka.core.pmml.jaxbbindings.DataField
-
Sets the value of the displayName property.
- setDisplayName(String) - Method in class weka.core.pmml.jaxbbindings.DerivedField
-
Sets the value of the displayName property.
- setDisplayName(String) - Method in class weka.core.pmml.jaxbbindings.OutputField
-
Sets the value of the displayName property.
- setDisplayName(String) - Method in class weka.core.pmml.jaxbbindings.ResultField
-
Sets the value of the displayName property.
- setDisplayName(String) - Method in class weka.core.pmml.jaxbbindings.TimeAnchor
-
Sets the value of the displayName property.
- setDisplayName(String) - Method in class weka.core.pmml.jaxbbindings.TimeCycle
-
Sets the value of the displayName property.
- setDisplayRules(boolean) - Method in class weka.classifiers.rules.DecisionTable
-
Sets whether rules are to be printed
- setDisplayStdDevs(boolean) - Method in class weka.clusterers.SimpleKMeans
-
Sets whether standard deviations and nominal count.
- setDisplayValue(String) - Method in class weka.core.pmml.jaxbbindings.Decision
-
Sets the value of the displayValue property.
- setDisplayValue(String) - Method in class weka.core.pmml.jaxbbindings.TargetValue
-
Sets the value of the displayValue property.
- setDisplayValue(String) - Method in class weka.core.pmml.jaxbbindings.Value
-
Sets the value of the displayValue property.
- setDistance(DistanceFunction) - Method in class weka.core.FilteredDistance
-
Sets the distance
- setDistanceFunction(DistanceFunction) - Method in class weka.clusterers.HierarchicalClusterer
-
- setDistanceFunction(DistanceFunction) - Method in class weka.clusterers.SimpleKMeans
-
sets the distance function to use for instance comparison.
- setDistanceFunction(DistanceFunction) - Method in class weka.core.neighboursearch.CoverTree
-
Sets the distance function to use for nearest neighbour search.
- setDistanceFunction(DistanceFunction) - Method in class weka.core.neighboursearch.KDTree
-
sets the distance function to use for nearest neighbour search.
- setDistanceFunction(DistanceFunction) - Method in class weka.core.neighboursearch.NearestNeighbourSearch
-
sets the distance function to use for nearest neighbour search.
- setDistanceIsBranchLength(boolean) - Method in class weka.clusterers.HierarchicalClusterer
-
- setDistanceWeighting(SelectedTag) - Method in class weka.classifiers.lazy.IBk
-
Sets the distance weighting method used.
- setDistMult(double) - Method in class weka.datagenerators.clusterers.BIRCHCluster
-
Sets the distance multiplier.
- setDistParameter(Double) - Method in class weka.core.pmml.jaxbbindings.GeneralRegressionModel
-
Sets the value of the distParameter property.
- setDistribution(String, double[][]) - Method in class weka.classifiers.bayes.net.EditableBayesNet
-
specify distribution of a node
- setDistribution(int, double[][]) - Method in class weka.classifiers.bayes.net.EditableBayesNet
-
specify distribution of a node
- setDistribution(Distribution) - Method in class weka.classifiers.trees.j48.ClassifierSplitModel
-
Sets the distribution associated with model.
- setDistribution(String) - Method in class weka.core.pmml.jaxbbindings.GeneralRegressionModel
-
Sets the value of the distribution property.
- setDistribution(SelectedTag) - Method in class weka.filters.unsupervised.attribute.RandomProjection
-
Sets the distribution to use for calculating the random matrix
- setDistributionSpread(double) - Method in class weka.filters.supervised.instance.SpreadSubsample
-
Sets the value for the distribution spread
- setDocType(String) - Method in class weka.core.xml.XMLDocument
-
sets the DOCTYPE-String to use in the XML output.
- setDocument(Document) - Method in class weka.core.xml.XMLDocument
-
sets the DOM document to use.
- setDocument(JTextPane) - Method in class weka.gui.DocumentPrinting
-
Sets the document from the given JTextPane.
- setDocument(String, Document) - Method in class weka.gui.DocumentPrinting
-
Sets the document and the according content type.
- setDocumentNormalization(String) - Method in class weka.core.pmml.jaxbbindings.TextModelNormalization
-
Sets the value of the documentNormalization property.
- setDoNotCheckCapabilities(boolean) - Method in class weka.associations.AbstractAssociator
-
Set whether not to check capabilities.
- setDoNotCheckCapabilities(boolean) - Method in class weka.attributeSelection.ASEvaluation
-
Set whether not to check capabilities.
- setDoNotCheckCapabilities(boolean) - Method in class weka.classifiers.AbstractClassifier
-
Set whether not to check capabilities.
- setDoNotCheckCapabilities(boolean) - Method in class weka.classifiers.functions.supportVector.Kernel
-
These methods remain for backwards compatibility.
- setDoNotCheckCapabilities(boolean) - Method in class weka.clusterers.AbstractClusterer
-
Set whether not to check capabilities.
- setDoNotCheckCapabilities(boolean) - Method in interface weka.core.CapabilitiesIgnorer
-
If argument is true, capabilities are not actually
checked to improve runtime.
- setDoNotCheckCapabilities(boolean) - Method in class weka.core.converters.AbstractSaver
-
Set whether not to check capabilities.
- setDoNotCheckCapabilities(boolean) - Method in class weka.core.FindWithCapabilities
-
Set whether not to check capabilities.
- setDoNotCheckCapabilities(boolean) - Method in class weka.estimators.Estimator
-
Set whether not to check capabilities.
- setDoNotCheckCapabilities(boolean) - Method in class weka.filters.Filter
-
Set whether not to check capabilities.
- setDoNotCheckForModifiedClassAttribute(boolean) - Method in class weka.classifiers.meta.FilteredClassifier
-
Use this method to determine whether classifier checks whether class attribute has been modified by filter.
- setDoNotMakeSplitPointActualValue(boolean) - Method in class weka.classifiers.rules.PART
-
Sets the value of doNotMakeSplitPointActualValue.
- setDoNotMakeSplitPointActualValue(boolean) - Method in class weka.classifiers.trees.J48
-
Sets the value of doNotMakeSplitPointActualValue.
- setDoNotMakeSplitPointActualValue(boolean) - Method in class weka.classifiers.trees.LMT
-
Sets the value of doNotMakeSplitPointActualValue.
- setDoNotOperateOnPerClassBasis(boolean) - Method in class weka.core.converters.DictionarySaver
-
Set the DoNotOperateOnPerClassBasis value.
- setDoNotOperateOnPerClassBasis(boolean) - Method in class weka.core.DictionaryBuilder
-
Set the DoNotOperateOnPerClassBasis value.
- setDoNotOperateOnPerClassBasis(boolean) - Method in class weka.filters.unsupervised.attribute.StringToWordVector
-
Set the DoNotOperateOnPerClassBasis value.
- setDoNotPrintModels(boolean) - Method in class weka.classifiers.meta.Vote
-
Set whether to print the individual ensemble models in the output
- setDoNotStandardizeAttributes(boolean) - Method in class weka.classifiers.functions.Logistic
-
Sets whether not to standardize attributes
- setDontFilterAfterFirstBatch(boolean) - Method in class weka.filters.unsupervised.instance.RemoveWithValues
-
Set whether to apply the filter to instances that arrive once the first
(training) batch has been seen.
- setDontNormalize(boolean) - Method in class weka.classifiers.functions.SGD
-
Turn normalization off/on.
- setDontNormalize(boolean) - Method in class weka.core.NormalizableDistance
-
Sets whether if the attribute values are to be normalized in distance
calculation.
- setDontReplaceMissing(boolean) - Method in class weka.classifiers.functions.SGD
-
Turn global replacement of missing values off/on.
- setDontReplaceMissingValues(boolean) - Method in class weka.clusterers.Canopy
-
Sets whether missing values are to be replaced.
- setDontReplaceMissingValues(boolean) - Method in class weka.clusterers.SimpleKMeans
-
Sets whether missing values are to be replaced.
- setDontShowDialog(String) - Static method in class weka.core.Utils
-
Specify that the named dialog is not to be displayed in the future.
- setDontShowDialogResponse(String, String) - Static method in class weka.core.Utils
-
Specify that the named dialog is not to be shown again in the future.
- setDouble(String, double) - Method in class weka.core.expressionlanguage.common.SimpleVariableDeclarations.VariableInitializer
-
Sets the value of a double variable
- setDynamicArgsField(String) - Method in class weka.knowledgeflow.steps.ExecuteProcess
-
Set the name of the attribute in the incoming instance structure that
contains the arguments to the command to execute
- setDynamicCmdField(String) - Method in class weka.knowledgeflow.steps.ExecuteProcess
-
Set the name of the attribute in the incoming instance structure that
contains the command to execute
- setDynamicVarsInternalRep(String) - Method in class weka.knowledgeflow.steps.SetVariables
-
- setDynamicWorkingDirField(String) - Method in class weka.knowledgeflow.steps.ExecuteProcess
-
Set the name of the attribute in the incoming instance structure that
containst the working directory for the command to execute
- setEditable(boolean) - Method in class weka.gui.beans.EnvironmentField
-
Deprecated.
Set the editable status of the combo box.
- setEditable(boolean) - Method in class weka.gui.EnvironmentField
-
Set the editable status of the combo box.
- setEditable(boolean) - Method in class weka.gui.PasswordField
-
Set the editable status of the password box.
- setEdited(boolean) - Method in class weka.gui.knowledgeflow.VisibleLayout
-
Set the edited status of this flow
- setEditedStatus(boolean) - Method in class weka.gui.beans.KnowledgeFlowApp.MainKFPerspective
-
- setEditedStatus(int, boolean) - Method in class weka.gui.beans.KnowledgeFlowApp.MainKFPerspective
-
- setElement(int, int, double) - Method in class weka.classifiers.CostMatrix
-
Set the value of a cell as a double
- setElement(int, double) - Method in class weka.core.AlgVector
-
Sets an element of the matrix to the given value.
- setElement(int, int, double) - Method in class weka.core.Matrix
-
Deprecated.
Sets an element of the matrix to the given value.
- setElementAt(E, int) - Method in class weka.core.FastVector
-
Deprecated.
Sets the element at the given index.
- setElementAt(Object, int) - Method in class weka.gui.CheckBoxList.CheckBoxListModel
-
Sets the component at the specified index of this list to be the
specified object.
- setElements(double[]) - Method in class weka.core.AlgVector
-
Sets the elements of the vector to values of the given array.
- setEliminateColinearAttributes(boolean) - Method in class weka.classifiers.functions.LinearRegression
-
Set the value of EliminateColinearAttributes.
- setEnabled(boolean) - Method in class weka.core.Debug
-
sets whether the logging is enabled or not
- setEnabled(boolean) - Method in class weka.core.Memory
-
sets whether the memory management is enabled
- setEnabled(boolean) - Method in class weka.gui.beans.EnvironmentField
-
Deprecated.
Set the enabled status of the combo box.
- setEnabled(boolean) - Method in class weka.gui.beans.FileEnvironmentField
-
Deprecated.
Set the enabled status of the combo box and button
- setEnabled(boolean) - Method in class weka.gui.EnvironmentField
-
Set the enabled status of the combo box.
- setEnabled(boolean) - Method in class weka.gui.FileEnvironmentField
-
Set the enabled status of the combo box and button
- setEnabled(boolean) - Method in class weka.gui.GenericObjectEditor
-
Sets whether the editor is "enabled", meaning that the current values will
be painted.
- setEnabled(boolean) - Method in class weka.gui.PasswordField
-
Set the enabled status of the password box
- setEnabled(boolean) - Method in class weka.gui.PropertyPanel
-
Passes on enabled/disabled status to the custom panel (if one is set).
- setEnablePerspectiveTab(String, boolean) - Method in class weka.gui.PerspectiveManager
-
Enable/disable a perspective's button/tab
- setEnablePerspectiveTabs(List<String>, boolean) - Method in class weka.gui.PerspectiveManager
-
Enable/disable the tab/button for each perspective in the supplied list of
perspective IDs
- setEnclosureCharacters(String) - Method in class weka.core.converters.CSVLoader
-
Set the character(s) to use/recognize as string enclosures
- setEndTime(Double) - Method in class weka.core.pmml.jaxbbindings.TimeSeries
-
Sets the value of the endTime property.
- setEndTimeVariable(String) - Method in class weka.core.pmml.jaxbbindings.GeneralRegressionModel
-
Sets the value of the endTimeVariable property.
- setEntropicAutoBlend(boolean) - Method in class weka.classifiers.lazy.KStar
-
Set whether entropic blending is to be used.
- setEnumClass(String) - Method in class weka.core.EnumHelper
-
Set the fully qualified enum class name
- setEnumerateColNames(boolean) - Method in class weka.experiment.ResultMatrix
-
sets whether the column names are prefixed with "(x)" where "x" is the
index.
- setEnumerateRowNames(boolean) - Method in class weka.experiment.ResultMatrix
-
sets whether to the row names are prefixed with the index.
- setEnvironment(Environment) - Method in class weka.classifiers.meta.Vote
-
Set environment variable values to substitute in the paths of serialized
models to load
- setEnvironment(Environment) - Method in class weka.classifiers.misc.InputMappedClassifier
-
Set the environment variables to use
- setEnvironment(Environment) - Method in class weka.core.converters.AbstractFileLoader
-
Set the environment variables to use.
- setEnvironment(Environment) - Method in class weka.core.converters.AbstractFileSaver
-
Set the environment variables to use.
- setEnvironment(Environment) - Method in class weka.core.converters.DatabaseLoader
-
Set the environment variables to use.
- setEnvironment(Environment) - Method in class weka.core.converters.DatabaseSaver
-
Set the environment variables to use.
- setEnvironment(Environment) - Method in interface weka.core.EnvironmentHandler
-
Set environment variables to use.
- setEnvironment(Environment) - Method in class weka.filters.unsupervised.attribute.AddUserFields
-
Set environment varialbes to use
- setEnvironment(Environment) - Method in class weka.filters.unsupervised.attribute.FixedDictionaryStringToWordVector
-
- setEnvironment(Environment) - Method in class weka.filters.unsupervised.attribute.OrdinalToNumeric
-
Set environment to use
- setEnvironment(Environment) - Method in class weka.filters.unsupervised.attribute.ReplaceMissingWithUserConstant
-
- setEnvironment(Environment) - Method in class weka.gui.beans.Associator
-
Set environment variables to use.
- setEnvironment(Environment) - Method in class weka.gui.beans.AttributeSummarizerCustomizer
-
Set the environment variables to use
- setEnvironment(Environment) - Method in class weka.gui.beans.Classifier
-
Set environment variables to pass on to the classifier (if if is an
EnvironmentHandler)
- setEnvironment(Environment) - Method in class weka.gui.beans.ClassifierCustomizer
-
Set any environment variables to pass to the PropertySheetPanel
- setEnvironment(Environment) - Method in class weka.gui.beans.DataVisualizer
-
- setEnvironment(Environment) - Method in class weka.gui.beans.DataVisualizerCustomizer
-
Set the environment variables to use
- setEnvironment(Environment) - Method in class weka.gui.beans.EnvironmentField
-
Deprecated.
Set the environment variables to display in the drop down list.
- setEnvironment(Environment) - Method in class weka.gui.beans.FlowByExpression
-
- setEnvironment(Environment) - Method in class weka.gui.beans.FlowByExpressionCustomizer
-
- setEnvironment(Environment) - Method in class weka.gui.beans.FlowRunner
-
Set the environment variables to use.
- setEnvironment(Environment) - Method in class weka.gui.beans.ImageSaver
-
Set environment variables to use
- setEnvironment(Environment) - Method in class weka.gui.beans.ImageSaverCustomizer
-
Set the environment variables to use
- setEnvironment(Environment) - Method in class weka.gui.beans.Join
-
Set environment variables to use
- setEnvironment(Environment) - Method in class weka.gui.beans.JoinCustomizer
-
- setEnvironment(Environment) - Method in class weka.gui.beans.KnowledgeFlowApp
-
Set the environment variables to use.
- setEnvironment(Environment) - Method in class weka.gui.beans.Loader
-
Set environment variables to use.
- setEnvironment(Environment) - Method in class weka.gui.beans.LoaderCustomizer
-
- setEnvironment(Environment) - Method in class weka.gui.beans.ModelPerformanceChart
-
- setEnvironment(Environment) - Method in class weka.gui.beans.ModelPerformanceChartCustomizer
-
Set the environment variables to use
- setEnvironment(Environment) - Method in class weka.gui.beans.Saver
-
Set environment variables to use.
- setEnvironment(Environment) - Method in class weka.gui.beans.SaverCustomizer
-
- setEnvironment(Environment) - Method in class weka.gui.beans.SerializedModelSaver
-
Set environment variables to use.
- setEnvironment(Environment) - Method in class weka.gui.beans.SerializedModelSaverCustomizer
-
- setEnvironment(Environment) - Method in class weka.gui.beans.Sorter
-
Set environment variables to use
- setEnvironment(Environment) - Method in class weka.gui.beans.SorterCustomizer
-
Set environment variables to use
- setEnvironment(Environment) - Method in class weka.gui.beans.SubstringLabeler
-
Set environment variables to use
- setEnvironment(Environment) - Method in class weka.gui.beans.SubstringLabelerCustomizer
-
Set environment variables to use
- setEnvironment(Environment) - Method in class weka.gui.beans.SubstringLabelerRules
-
- setEnvironment(Environment) - Method in class weka.gui.beans.SubstringReplacer
-
Set environment variables to use
- setEnvironment(Environment) - Method in class weka.gui.beans.SubstringReplacerCustomizer
-
Set environment variables to use
- setEnvironment(Environment) - Method in class weka.gui.beans.SubstringReplacerRules
-
- setEnvironment(Environment) - Method in class weka.gui.beans.TextSaver
-
Set environment variables to use
- setEnvironment(Environment) - Method in class weka.gui.beans.TextSaverCustomizer
-
Set the environment variables to use
- setEnvironment(Environment) - Method in class weka.gui.EnvironmentField
-
Set the environment variables to display in the drop down list.
- setEnvironment(Environment) - Method in class weka.gui.filters.AddUserFieldsCustomizer
-
Set environment variables to use
- setEnvironment(Environment) - Method in class weka.gui.knowledgeflow.StepEditorDialog
-
Set environment variables
- setEnvironment(Environment) - Method in class weka.gui.knowledgeflow.VisibleLayout
-
Set the environment variables to use with this layout
- setEnvironment(Environment) - Method in class weka.gui.PropertySheetPanel
-
Set environment variables to pass on to any editor that can use them
- setEnvironment(Environment) - Method in class weka.knowledgeflow.FlowRunner
-
- setEnvironmentVariables(Environment) - Method in class weka.knowledgeflow.BaseExecutionEnvironment
-
Set environment variables for this execution environment
- setEnvironmentVariables(Environment) - Method in interface weka.knowledgeflow.ExecutionEnvironment
-
Set environment variables for this execution environment
- setEpochs(int) - Method in class weka.classifiers.functions.SGD
-
Set the number of epochs to use
- setEpochs(int) - Method in class weka.classifiers.functions.SGDText
-
Set the number of epochs to use
- setEpsilon(double) - Method in class weka.classifiers.functions.SGD
-
Set the epsilon threshold on the error for epsilon insensitive and Huber
loss functions
- setEpsilon(double) - Method in class weka.classifiers.functions.SMO
-
Set the value of epsilon.
- setEpsilon(double) - Method in class weka.classifiers.functions.supportVector.RegSMO
-
Set the value of epsilon.
- setEpsilonParameter(double) - Method in class weka.classifiers.functions.supportVector.RegOptimizer
-
Set the value of epsilon parameter of the epsilon insensitive loss
function.
- setError(Exception) - Method in class weka.knowledgeflow.ExecutionResult
-
Set an exception, in the case that an error occurred during the
processing done by a StepTask
- setErrorOnProbabilities(boolean) - Method in class weka.classifiers.functions.SimpleLogistic
-
Set the value of errorOnProbabilities.
- setErrorOnProbabilities(boolean) - Method in class weka.classifiers.trees.LMT
-
Set the value of errorOnProbabilities.
- setErrorPlotPointSizeProportionalToMargin(boolean) - Method in class weka.gui.beans.ClassifierPerformanceEvaluator
-
Set whether the point size on classification error plots should be
proportional to the prediction margin.
- setErrorPlotPointSizeProportionalToMargin(boolean) - Method in class weka.knowledgeflow.steps.ClassifierPerformanceEvaluator
-
Set whether the size of plot data points will be proportional to the
prediction margin
- setEstimator(BayesNetEstimator) - Method in class weka.classifiers.bayes.BayesNet
-
Set the Estimator Algorithm used in calculating the CPTs
- setEstimator(UnivariateDensityEstimator) - Method in class weka.classifiers.meta.RegressionByDiscretization
-
Set the estimator
- setEstimator(Estimator) - Method in class weka.estimators.CheckEstimator
-
Set the estimator for boosting.
- setEstimator(NaiveBayes) - Method in class weka.filters.supervised.attribute.ClassConditionalProbabilities
-
Set the naive Bayes estimator to use
- setEuclidean(Euclidean) - Method in class weka.core.pmml.jaxbbindings.ComparisonMeasure
-
Sets the value of the euclidean property.
- setEuclideanDistanceFunction(EuclideanDistance) - Method in class weka.core.neighboursearch.balltrees.BallSplitter
-
Sets the distance function used to (or to be used to) build the tree.
- setEuclideanDistanceFunction(EuclideanDistance) - Method in class weka.core.neighboursearch.balltrees.BallTreeConstructor
-
Sets the distance function to use to build the tree.
- setEuclideanDistanceFunction(EuclideanDistance) - Method in class weka.core.neighboursearch.kdtrees.KDTreeNodeSplitter
-
Sets the EuclideanDistance object to use for splitting nodes.
- setEvaluateWithRespectToCosts(boolean) - Method in class weka.knowledgeflow.steps.ClassifierPerformanceEvaluator
-
Set whether to evaluate with respoect to costs
- setEvaluation(Evaluation) - Method in class weka.classifiers.evaluation.EvaluationMetricHelper
-
Sets the Evaluation object to use
- setEvaluation(Evaluation) - Method in class weka.gui.explorer.ClassifierErrorsPlotInstances
-
Sets the Evaluation object to use.
- setEvaluationMeasure(SelectedTag) - Method in class weka.attributeSelection.ClassifierAttributeEval
-
Sets the performance evaluation measure to use for selecting attributes for
the decision table
- setEvaluationMeasure(SelectedTag) - Method in class weka.attributeSelection.ClassifierSubsetEval
-
Sets the performance evaluation measure to use for selecting attributes for
the decision table
- setEvaluationMeasure(SelectedTag) - Method in class weka.attributeSelection.WrapperSubsetEval
-
Sets the performance evaluation measure to use for selecting attributes for
the decision table
- setEvaluationMeasure(SelectedTag) - Method in class weka.classifiers.rules.DecisionTable
-
Sets the performance evaluation measure to use for selecting attributes for
the decision table
- setEvaluationMetric(SelectedTag) - Method in class weka.classifiers.meta.IterativeClassifierOptimizer
-
Set the evaluation metric to use
- setEvaluationMetricsToOutput(String) - Method in class weka.gui.beans.ClassifierPerformanceEvaluator
-
Set the evaluation metrics to output (as a comma-separated list).
- setEvaluationMetricsToOutput(String) - Method in class weka.knowledgeflow.steps.ClassifierPerformanceEvaluator
-
Set the evaluation metrics to output (as a comma-separated list).
- setEvaluator(ASEvaluation) - Method in class weka.attributeSelection.AttributeSelection
-
set the attribute/subset evaluator
- setEvaluator(ASEvaluation) - Method in class weka.attributeSelection.CheckAttributeSelection
-
Set the evaluator to test.
- setEvaluator(ASEvaluation) - Method in class weka.classifiers.meta.AttributeSelectedClassifier
-
Sets the attribute evaluator
- setEvaluator(ASEvaluation) - Method in class weka.filters.supervised.attribute.AttributeSelection
-
set attribute/subset evaluator
- setEvaluator(ASEvaluation) - Method in class weka.knowledgeflow.steps.ASEvaluator
-
Set the evaluator to wrap (just calls setWrappedAlgorithm)
- setEvalUsingTrainingData(boolean) - Method in class weka.attributeSelection.OneRAttributeEval
-
Use the training data to evaluate attributes rather than cross validation
- setEvidence(int, int) - Method in class weka.classifiers.bayes.net.EditableBayesNet
-
set evidence state of a node.
- setEvidence(int, int) - Method in class weka.classifiers.bayes.net.MarginCalculator.JunctionTreeNode
-
- setEvidence(int, int) - Method in class weka.classifiers.bayes.net.MarginCalculator
-
- setExcludeNominalAttributes(boolean) - Method in class weka.filters.supervised.attribute.ClassConditionalProbabilities
-
Set whether nominal attributes are to be excluded from the transformation
- setExcludeNumericAttributes(boolean) - Method in class weka.filters.supervised.attribute.ClassConditionalProbabilities
-
Set whether numeric attributes are being excluded from the transformation
- setExecuting(boolean) - Method in class weka.gui.beans.KnowledgeFlowApp.MainKFPerspective
-
- setExecuting(int, boolean) - Method in class weka.gui.beans.KnowledgeFlowApp.MainKFPerspective
-
- setExecutionEnvironment(BaseExecutionEnvironment) - Method in interface weka.knowledgeflow.FlowExecutor
-
Set the execution environment to use
- setExecutionEnvironment(BaseExecutionEnvironment) - Method in class weka.knowledgeflow.FlowRunner
-
Set the execution environment to use
- setExecutionSlots(int) - Method in class weka.gui.beans.Classifier
-
Set the number of execution slots (threads) to use to train models with.
- setExecutionSlots(int) - Method in class weka.gui.beans.ClassifierPerformanceEvaluator
-
Set the number of executions slots to use.
- setExecutionStatus(int) - Method in class weka.experiment.TaskStatusInfo
-
Set the execution status of this Task.
- setExecutionThread(KnowledgeFlowApp.RunThread) - Method in class weka.gui.beans.KnowledgeFlowApp.MainKFPerspective
-
- setExecutionThread(int, KnowledgeFlowApp.RunThread) - Method in class weka.gui.beans.KnowledgeFlowApp.MainKFPerspective
-
- setExitIfNoWindowsOpen(boolean) - Static method in class weka.gui.boundaryvisualizer.BoundaryVisualizer
-
Sets whether System.exit gets called when no more windows are open.
- setExitOnClose(boolean) - Method in class weka.gui.arffviewer.ArffViewer
-
whether to do a System.exit(0) on close
- setExitOnClose(boolean) - Method in class weka.gui.arffviewer.ArffViewerMainPanel
-
whether to do a System.exit(0) on close
- setExpectedResultsPerAverage(int) - Method in class weka.experiment.AveragingResultProducer
-
Set the value of ExpectedResultsPerAverage.
- setExperiment(Experiment) - Method in class weka.experiment.RemoteExperimentSubTask
-
Set the experiment for this sub task
- setExperiment(Experiment) - Method in class weka.gui.experiment.AbstractSetupPanel
-
Sets the experiment to configure.
- setExperiment(Experiment) - Method in class weka.gui.experiment.AlgorithmListPanel
-
Tells the panel to act on a new experiment.
- setExperiment(Experiment) - Method in class weka.gui.experiment.DatasetListPanel
-
Tells the panel to act on a new experiment.
- setExperiment(Experiment) - Method in class weka.gui.experiment.DistributeExperimentPanel
-
Sets the experiment to be configured.
- setExperiment(Experiment) - Method in class weka.gui.experiment.GeneratorPropertyIteratorPanel
-
Sets the experiment which will have the custom properties edited.
- setExperiment(RemoteExperiment) - Method in class weka.gui.experiment.HostListPanel
-
Tells the panel to act on a new experiment.
- setExperiment(Experiment) - Method in class weka.gui.experiment.ResultsPanel
-
Tells the panel to use a new experiment.
- setExperiment(Experiment) - Method in class weka.gui.experiment.RunNumberPanel
-
Sets the experiment to be configured.
- setExperiment(Experiment) - Method in class weka.gui.experiment.RunPanel
-
Sets the experiment the panel operates on.
- setExperiment(Experiment) - Method in class weka.gui.experiment.SetupPanel
-
Sets the experiment to configure.
- setExperiment(Experiment) - Method in class weka.gui.experiment.SimpleSetupPanel
-
Sets the experiment to configure.
- setExplicitPropsFile(boolean) - Method in class weka.gui.GenericPropertiesCreator
-
if FALSE, the locating of a props-file of the Utils-class is used,
otherwise it's tried to load the specified file
- setExplorer(Explorer) - Method in class weka.gui.explorer.AssociationsPanel
-
Sets the Explorer to use as parent frame (used for sending notifications
about changes in the data)
- setExplorer(Explorer) - Method in class weka.gui.explorer.AttributeSelectionPanel
-
Sets the Explorer to use as parent frame (used for sending notifications
about changes in the data)
- setExplorer(Explorer) - Method in class weka.gui.explorer.ClassifierPanel
-
Sets the Explorer to use as parent frame (used for sending notifications
about changes in the data).
- setExplorer(Explorer) - Method in class weka.gui.explorer.ClustererPanel
-
Sets the Explorer to use as parent frame (used for sending notifications
about changes in the data)
- setExplorer(Explorer) - Method in interface weka.gui.explorer.Explorer.ExplorerPanel
-
Sets the Explorer to use as parent frame (used for sending notifications
about changes in the data)
- setExplorer(Explorer) - Method in class weka.gui.explorer.PreprocessPanel
-
Sets the Explorer to use as parent frame (used for sending notifications
about changes in the data)
- setExplorer(Explorer) - Method in class weka.gui.explorer.VisualizePanel
-
Sets the Explorer to use as parent frame (used for sending notifications
about changes in the data)
- setExponent(double) - Method in class weka.classifiers.functions.supportVector.PolyKernel
-
Sets the exponent value.
- setExponent(double) - Method in class weka.classifiers.functions.VotedPerceptron
-
Set the value of exponent.
- setExponent(BigInteger) - Method in class weka.core.pmml.jaxbbindings.MultivariateStat
-
Sets the value of the exponent property.
- setExponent(BigInteger) - Method in class weka.core.pmml.jaxbbindings.NumericPredictor
-
Sets the value of the exponent property.
- setExpression(String) - Method in class weka.datagenerators.classifiers.regression.Expression
-
Sets the mathematical expression to generate y out of x.
- setExpression(String) - Method in class weka.filters.unsupervised.attribute.AddExpression
-
Set the expression to apply
- setExpression(String) - Method in class weka.filters.unsupervised.attribute.MathExpression
-
Set the expression to apply
- setExpression(String) - Method in class weka.filters.unsupervised.attribute.RemoveByName
-
Sets the regular expression to match the attribute names against.
- setExpression(String) - Method in class weka.filters.unsupervised.instance.SubsetByExpression
-
Sets the expression used for filtering.
- setExpressionString(String) - Method in class weka.gui.beans.FlowByExpression
-
Set the expression (in internal format)
- setExpressionString(String) - Method in class weka.knowledgeflow.steps.FlowByExpression
-
Set the expression (in internal format)
- setExtender(String) - Method in class weka.core.pmml.jaxbbindings.Extension
-
Sets the value of the extender property.
- setExtremeValuesAsOutliers(boolean) - Method in class weka.filters.unsupervised.attribute.InterquartileRange
-
Set whether extreme values are also tagged as outliers.
- setExtremeValuesFactor(double) - Method in class weka.filters.unsupervised.attribute.InterquartileRange
-
Sets the factor for determining the thresholds for extreme values.
- setFalse(False) - Method in class weka.core.pmml.jaxbbindings.Attribute
-
Sets the value of the false property.
- setFalse(False) - Method in class weka.core.pmml.jaxbbindings.CompoundRule
-
Sets the value of the false property.
- setFalse(False) - Method in class weka.core.pmml.jaxbbindings.Segment
-
Sets the value of the false property.
- setFalse(False) - Method in class weka.core.pmml.jaxbbindings.SimpleRule
-
Sets the value of the false property.
- setFalseNegative(double) - Method in class weka.classifiers.evaluation.TwoClassStats
-
Sets the number of positive instances predicted as negative
- setFalsePositive(double) - Method in class weka.classifiers.evaluation.TwoClassStats
-
Sets the number of negative instances predicted as positive
- setFalseStepName(String) - Method in class weka.gui.beans.FlowByExpression
-
Set the name of the connected step to send "false" instances to
- setFalseStepName(String) - Method in class weka.knowledgeflow.steps.FlowByExpression
-
Set the name of the connected step to send "false" instances to
- setFastDistanceCalc(boolean) - Method in class weka.clusterers.SimpleKMeans
-
Sets whether to use faster distance calculation.
- setFastRegression(boolean) - Method in class weka.classifiers.trees.LMT
-
Set the value of fastRegression.
- setFeature(RESULTFEATURE) - Method in class weka.core.pmml.jaxbbindings.OutputField
-
Sets the value of the feature property.
- setFeature(RESULTFEATURE) - Method in class weka.core.pmml.jaxbbindings.ResultField
-
Sets the value of the feature property.
- setField(String) - Method in class weka.core.pmml.jaxbbindings.Aggregate
-
Sets the value of the field property.
- setField(String) - Method in class weka.core.pmml.jaxbbindings.ClusteringField
-
Sets the value of the field property.
- setField(String) - Method in class weka.core.pmml.jaxbbindings.Discretize
-
Sets the value of the field property.
- setField(String) - Method in class weka.core.pmml.jaxbbindings.FieldColumnPair
-
Sets the value of the field property.
- setField(String) - Method in class weka.core.pmml.jaxbbindings.FieldRef
-
Sets the value of the field property.
- setField(String) - Method in class weka.core.pmml.jaxbbindings.FieldValue
-
Sets the value of the field property.
- setField(String) - Method in class weka.core.pmml.jaxbbindings.FieldValueCount
-
Sets the value of the field property.
- setField(String) - Method in class weka.core.pmml.jaxbbindings.InstanceField
-
Sets the value of the field property.
- setField(String) - Method in class weka.core.pmml.jaxbbindings.KNNInput
-
Sets the value of the field property.
- setField(String) - Method in class weka.core.pmml.jaxbbindings.NormContinuous
-
Sets the value of the field property.
- setField(String) - Method in class weka.core.pmml.jaxbbindings.NormDiscrete
-
Sets the value of the field property.
- setField(String) - Method in class weka.core.pmml.jaxbbindings.PartitionFieldStats
-
Sets the value of the field property.
- setField(String) - Method in class weka.core.pmml.jaxbbindings.SetPredicate
-
Sets the value of the field property.
- setField(String) - Method in class weka.core.pmml.jaxbbindings.SimplePredicate
-
Sets the value of the field property.
- setField(String) - Method in class weka.core.pmml.jaxbbindings.SimpleSetPredicate
-
Sets the value of the field property.
- setField(String) - Method in class weka.core.pmml.jaxbbindings.Target
-
Sets the value of the field property.
- setField(String) - Method in class weka.core.pmml.jaxbbindings.TestDistributions
-
Sets the value of the field property.
- setField(String) - Method in class weka.core.pmml.jaxbbindings.UnivariateStats
-
Sets the value of the field property.
- setField(String) - Method in class weka.core.pmml.jaxbbindings.VerificationField
-
Sets the value of the field property.
- setFieldCount(BigInteger) - Method in class weka.core.pmml.jaxbbindings.ModelVerification
-
Sets the value of the fieldCount property.
- setFieldCount(BigInteger) - Method in class weka.core.pmml.jaxbbindings.TrainingInstances
-
Sets the value of the fieldCount property.
- setFieldDefs(ArrayList<Attribute>) - Method in class weka.core.pmml.DerivedFieldMetaInfo
-
Upadate the field definitions for this derived field
- setFieldDefs(Instances) - Method in class weka.core.pmml.DerivedFieldMetaInfo
-
Upadate the field definitions for this derived field
- setFieldDefs(ArrayList<Attribute>) - Method in class weka.core.pmml.Discretize
-
Set the field definitions for this Expression to use
- setFieldDefs(ArrayList<Attribute>) - Method in class weka.core.pmml.Expression
-
Set the field definitions for this Expression to use
- setFieldDefs(ArrayList<Attribute>) - Method in class weka.core.pmml.FieldRef
-
- setFieldDefs(ArrayList<Attribute>) - Method in class weka.core.pmml.NormContinuous
-
Set the field definitions for this Expression to use
- setFieldDefs(ArrayList<Attribute>) - Method in class weka.core.pmml.NormDiscrete
-
Set the field definitions for this Expression to use
- setFieldName(String) - Method in class weka.core.pmml.jaxbbindings.BayesInput
-
Sets the value of the fieldName property.
- setFieldName(String) - Method in class weka.core.pmml.jaxbbindings.BayesOutput
-
Sets the value of the fieldName property.
- setFieldRef(FieldRef) - Method in class weka.core.pmml.jaxbbindings.DefineFunction
-
Sets the value of the fieldRef property.
- setFieldRef(FieldRef) - Method in class weka.core.pmml.jaxbbindings.DerivedField
-
Sets the value of the fieldRef property.
- setFieldRef(FieldRef) - Method in class weka.core.pmml.jaxbbindings.OutputField
-
Sets the value of the fieldRef property.
- setFieldSeparator(String) - Method in class weka.core.converters.CSVLoader
-
Sets the character used as column separator.
- setFieldSeparator(String) - Method in class weka.core.converters.CSVSaver
-
Sets the character used as column separator.
- setFieldWeight(Double) - Method in class weka.core.pmml.jaxbbindings.ClusteringField
-
Sets the value of the fieldWeight property.
- setFieldWeight(Double) - Method in class weka.core.pmml.jaxbbindings.KNNInput
-
Sets the value of the fieldWeight property.
- setFile(File) - Method in class weka.core.converters.AbstractFileLoader
-
sets the source File
- setFile(File) - Method in class weka.core.converters.AbstractFileSaver
-
Sets the destination file.
- setFile(File) - Method in class weka.core.converters.AbstractSaver
-
Default implementation throws an IOException.
- setFile(File) - Method in class weka.core.converters.ArffLoader
-
sets the source File
- setFile(File) - Method in class weka.core.converters.ArffSaver
-
Sets the destination file.
- setFile(File) - Method in interface weka.core.converters.FileSourcedConverter
-
Set the file to load from/ to save in
- setFile(File) - Method in class weka.core.converters.JSONSaver
-
Sets the destination file.
- setFile(File) - Method in interface weka.core.converters.Saver
-
Sets the output file
- setFile(File) - Method in class weka.core.converters.XRFFSaver
-
Sets the destination file.
- setFile(String) - Method in class weka.core.pmml.jaxbbindings.TextDocument
-
Sets the value of the file property.
- setFile(File) - Method in class weka.gui.visualize.JComponentWriter
-
sets the file to store the output in
- setFile(File) - Method in class weka.knowledgeflow.steps.ImageSaver
-
Set the file to save to
- setFile(File) - Method in class weka.knowledgeflow.steps.TextSaver
-
Set the file to save to
- setFileFilter(FileFilter) - Method in class weka.gui.FileEnvironmentField
-
Set the file filter to be the selected one in the drop down box
- setFileFormat(Tag) - Method in class weka.gui.beans.SerializedModelSaver
-
Set the file format to use for saving.
- setFileMustExist(boolean) - Method in class weka.gui.ConverterFileChooser
-
Whether the selected file must exst (only open dialog).
- setFilename(String) - Method in class weka.core.FindWithCapabilities
-
Sets the dataset filename to base the capabilities on.
- setFilename(String) - Method in class weka.gui.arffviewer.ArffPanel
-
sets the filename
- setFilename(int, String) - Method in class weka.gui.arffviewer.ArffViewerMainPanel
-
sets the filename of the specified panel
- setFilename(String) - Method in class weka.gui.beans.ImageSaver
-
Set the filename to save to
- setFilename(String) - Method in class weka.gui.beans.TextSaver
-
Set the filename to save to
- setFilenamePrefix(String) - Method in class weka.knowledgeflow.steps.SerializedModelSaver
-
Set the text to prepend to the filename
- setFilePath(String) - Method in class weka.core.FileHelper
-
Set the file path
- setFilePath(File) - Method in class weka.gui.knowledgeflow.VisibleLayout
-
Set the file path for the flow being edited by this layout
- setFilePrefix(String) - Method in class weka.core.converters.AbstractFileSaver
-
Sets the file name prefix
- setFilePrefix(String) - Method in class weka.core.converters.AbstractSaver
-
Default implementation throws an IOException.
- setFilePrefix(String) - Method in interface weka.core.converters.Saver
-
Sets the file prefix.
- setFillWithMissing(boolean) - Method in class weka.filters.unsupervised.attribute.AbstractTimeSeries
-
Sets whether missing values should be used rather than removing instances
where the translated value is not known (due to border effects).
- setFilter(Filter) - Method in class weka.associations.FilteredAssociator
-
Sets the filter
- setFilter(Filter) - Method in class weka.classifiers.meta.FilteredClassifier
-
Sets the filter
- setFilter(Filter) - Method in class weka.clusterers.FilteredClusterer
-
Sets the filter.
- setFilter(Filter) - Method in class weka.core.FilteredDistance
-
Sets the filter
- setFilter(Filter) - Method in class weka.core.neighboursearch.FilteredNeighbourSearch
-
Sets the filter
- setFilter(Filter) - Method in class weka.filters.CheckSource
-
Sets the filter to use for the comparison.
- setFilter(Filter) - Method in class weka.gui.beans.Filter
-
Set the filter to be wrapped by this bean
- setFilter(Filter) - Method in class weka.knowledgeflow.steps.Filter
-
Set the filter.
- setFilterAfterFirstBatch(boolean) - Method in class weka.filters.unsupervised.instance.SubsetByExpression
-
Set whether to apply the filter to instances that arrive once the first
(training) batch has been seen.
- setFilters(Filter[]) - Method in class weka.filters.MultiFilter
-
Sets the list of possible filters to choose from.
- setFilters(Filter[]) - Method in class weka.filters.unsupervised.attribute.PartitionedMultiFilter
-
Sets the list of possible filters to choose from.
- setFilterType(SelectedTag) - Method in class weka.classifiers.functions.GaussianProcesses
-
Sets how the training data will be transformed.
- setFilterType(SelectedTag) - Method in class weka.classifiers.functions.SMO
-
Sets how the training data will be transformed.
- setFilterType(SelectedTag) - Method in class weka.classifiers.functions.SMOreg
-
Sets how the training data will be transformed.
- setFind(String) - Method in class weka.filters.unsupervised.attribute.RenameAttribute
-
Sets the regular expression that the attribute names must match.
- setFindAllRulesForSupportLevel(boolean) - Method in class weka.associations.FPGrowth
-
If true then turn off the iterative support reduction method of finding x
rules that meet the minimum support and metric thresholds and just return
all the rules that meet the lower bound on minimum support and the minimum
metric.
- setFindNumBins(boolean) - Method in class weka.filters.unsupervised.attribute.Discretize
-
Set the value of FindNumBins.
- setFindNumBins(boolean) - Method in class weka.filters.unsupervised.attribute.PKIDiscretize
-
Set the value of FindNumBins.
- setFirstValueIndex(String) - Method in class weka.filters.unsupervised.attribute.MergeTwoValues
-
Sets index of the first value used.
- setFirstValueIndex(String) - Method in class weka.filters.unsupervised.attribute.SwapValues
-
Sets index of the first value used.
- setFlow(Vector<Vector<?>>) - Method in class weka.gui.beans.KnowledgeFlowApp
-
Set the flow for the KnowledgeFlow to edit.
- setFlow(Flow) - Method in class weka.gui.knowledgeflow.VisibleLayout
-
Set the flow to edit in this layout
- setFlow(Flow) - Method in interface weka.knowledgeflow.FlowExecutor
-
Set the flow to be executed
- setFlow(Flow) - Method in class weka.knowledgeflow.FlowRunner
-
Set the flow to execute
- setFlowExecutor(FlowExecutor) - Method in class weka.gui.knowledgeflow.VisibleLayout
-
Set the FlowExcecutor
to use for executing the flow
- setFlowExecutor(FlowExecutor) - Method in class weka.knowledgeflow.BaseExecutionEnvironment
-
Set the executor that will actually be responsible for running the flow.
- setFlowFile(File) - Method in class weka.gui.beans.KnowledgeFlowApp.MainKFPerspective
-
- setFlowFile(int, File) - Method in class weka.gui.beans.KnowledgeFlowApp.MainKFPerspective
-
- setFlowFile(File) - Method in class weka.knowledgeflow.steps.Job
-
- setFlowLayoutOperation(VisibleLayout.LayoutOperation) - Method in class weka.gui.knowledgeflow.MainKFPerspective
-
Set the current flow layout operation
- setFlowName(String) - Method in class weka.knowledgeflow.Flow
-
Set the name of this Flow
- setFlows(Vector<Object>) - Method in class weka.gui.beans.FlowRunner
-
Set the vector holding the flows(s) to run
- setFocus() - Method in class weka.gui.sql.ConnectionPanel
-
sets the focus in a designated control.
- setFocus() - Method in class weka.gui.sql.InfoPanel
-
sets the focus in a designated control
- setFocus() - Method in class weka.gui.sql.QueryPanel
-
sets the focus in a designated control.
- setFocus() - Method in class weka.gui.sql.ResultPanel
-
sets the focus in a designated control
- setFold(int) - Method in class weka.filters.supervised.instance.StratifiedRemoveFolds
-
Selects a fold.
- setFold(int) - Method in class weka.filters.unsupervised.instance.RemoveFolds
-
Selects a fold.
- setFoldColumn(int) - Method in class weka.experiment.PairedTTester
-
Set the value of FoldColumn.
- setFoldColumn(int) - Method in interface weka.experiment.Tester
-
Set the value of FoldColumn.
- setFolds(int) - Method in class weka.attributeSelection.AttributeSelection
-
set the number of folds for cross validation
- setFolds(int) - Method in class weka.attributeSelection.ClassifierAttributeEval
-
Set the number of folds to use for accuracy estimation
- setFolds(int) - Method in class weka.attributeSelection.OneRAttributeEval
-
Set the number of folds to use for cross validation
- setFolds(int) - Method in class weka.attributeSelection.WrapperSubsetEval
-
Set the number of folds to use for accuracy estimation
- setFolds(int) - Method in class weka.classifiers.rules.JRip
-
Sets the number of folds to use
- setFolds(int) - Method in class weka.gui.beans.CrossValidationFoldMaker
-
Set the number of folds for the cross validation
- setFont(Font) - Method in class weka.gui.ResultHistoryPanel
-
Set the font to use in the list
- setFont(Font) - Method in class weka.gui.visualize.PostscriptGraphics
-
Set current font.
- setFontName(String) - Method in class weka.core.FontHelper
-
Set the font name
- setFontName(String) - Method in class weka.gui.scripting.SyntaxDocument
-
sets the current font family (affects all built-in styles).
- setFontSize(int) - Method in class weka.core.FontHelper
-
Set the font size
- setFontSize(int) - Method in class weka.gui.scripting.SyntaxDocument
-
sets the current font size (affects all built-in styles).
- setFontSizeAdjust(int) - Method in class weka.gui.beans.Note
-
set the font size adjustment
- setFontSizeAdjust(int) - Method in class weka.gui.knowledgeflow.NoteVisual
-
set the font size adjustment
- setFontStyle(int) - Method in class weka.core.FontHelper
-
Set the font style (see constants in Font class)
- setForceResampleWithWeights(boolean) - Method in class weka.classifiers.meta.WeightedInstancesHandlerWrapper
-
Sets the size of each subSpace, as a percentage of the training set size.
- setFormat(String) - Method in class weka.core.Debug.Timestamp
-
sets the format for the timestamp
- setFormat(ImageSaver.ImageFormat) - Method in class weka.knowledgeflow.steps.ImageSaver
-
Set the format of the image to save
- setFrom(String) - Method in class weka.core.pmml.jaxbbindings.Con1
-
Sets the value of the from property.
- setFStatistic(Double) - Method in class weka.core.pmml.jaxbbindings.MultivariateStat
-
Sets the value of the fStatistic property.
- setFStatistic(Double) - Method in class weka.core.pmml.jaxbbindings.PredictiveModelQuality
-
Sets the value of the fStatistic property.
- setFunction(String) - Method in class weka.core.pmml.jaxbbindings.Aggregate
-
Sets the value of the function property.
- setFunction(String) - Method in class weka.core.pmml.jaxbbindings.Apply
-
Sets the value of the function property.
- setFunction(SelectedTag) - Method in class weka.datagenerators.classifiers.classification.Agrawal
-
Sets the function for generating the data.
- setFunctionName(MININGFUNCTION) - Method in class weka.core.pmml.jaxbbindings.AssociationModel
-
Sets the value of the functionName property.
- setFunctionName(MININGFUNCTION) - Method in class weka.core.pmml.jaxbbindings.BaselineModel
-
Sets the value of the functionName property.
- setFunctionName(MININGFUNCTION) - Method in class weka.core.pmml.jaxbbindings.ClusteringModel
-
Sets the value of the functionName property.
- setFunctionName(MININGFUNCTION) - Method in class weka.core.pmml.jaxbbindings.DecisionTree
-
Sets the value of the functionName property.
- setFunctionName(MININGFUNCTION) - Method in class weka.core.pmml.jaxbbindings.GeneralRegressionModel
-
Sets the value of the functionName property.
- setFunctionName(MININGFUNCTION) - Method in class weka.core.pmml.jaxbbindings.MiningModel
-
Sets the value of the functionName property.
- setFunctionName(MININGFUNCTION) - Method in class weka.core.pmml.jaxbbindings.NaiveBayesModel
-
Sets the value of the functionName property.
- setFunctionName(MININGFUNCTION) - Method in class weka.core.pmml.jaxbbindings.NearestNeighborModel
-
Sets the value of the functionName property.
- setFunctionName(MININGFUNCTION) - Method in class weka.core.pmml.jaxbbindings.NeuralNetwork
-
Sets the value of the functionName property.
- setFunctionName(MININGFUNCTION) - Method in class weka.core.pmml.jaxbbindings.Regression
-
Sets the value of the functionName property.
- setFunctionName(MININGFUNCTION) - Method in class weka.core.pmml.jaxbbindings.RegressionModel
-
Sets the value of the functionName property.
- setFunctionName(MININGFUNCTION) - Method in class weka.core.pmml.jaxbbindings.RuleSetModel
-
Sets the value of the functionName property.
- setFunctionName(MININGFUNCTION) - Method in class weka.core.pmml.jaxbbindings.Scorecard
-
Sets the value of the functionName property.
- setFunctionName(MININGFUNCTION) - Method in class weka.core.pmml.jaxbbindings.SequenceModel
-
Sets the value of the functionName property.
- setFunctionName(MININGFUNCTION) - Method in class weka.core.pmml.jaxbbindings.SupportVectorMachineModel
-
Sets the value of the functionName property.
- setFunctionName(MININGFUNCTION) - Method in class weka.core.pmml.jaxbbindings.TextModel
-
Sets the value of the functionName property.
- setFunctionName(MININGFUNCTION) - Method in class weka.core.pmml.jaxbbindings.TimeSeriesModel
-
Sets the value of the functionName property.
- setFunctionName(MININGFUNCTION) - Method in class weka.core.pmml.jaxbbindings.TreeModel
-
Sets the value of the functionName property.
- setFValue(Double) - Method in class weka.core.pmml.jaxbbindings.AnovaRow
-
Sets the value of the fValue property.
- setGamma(double) - Method in class weka.classifiers.functions.supportVector.RBFKernel
-
Sets the gamma value.
- setGamma(Double) - Method in class weka.core.pmml.jaxbbindings.PolynomialKernelType
-
Sets the value of the gamma property.
- setGamma(Double) - Method in class weka.core.pmml.jaxbbindings.RadialBasisKernelType
-
Sets the value of the gamma property.
- setGamma(Double) - Method in class weka.core.pmml.jaxbbindings.SigmoidKernelType
-
Sets the value of the gamma property.
- setGamma(Double) - Method in class weka.core.pmml.jaxbbindings.TrendExpoSmooth
-
Sets the value of the gamma property.
- setGap(GAP) - Method in class weka.core.pmml.jaxbbindings.Delimiter
-
Sets the value of the gap property.
- setGaussianDistribution(GaussianDistribution) - Method in class weka.core.pmml.jaxbbindings.Alternate
-
Sets the value of the gaussianDistribution property.
- setGaussianDistribution(GaussianDistribution) - Method in class weka.core.pmml.jaxbbindings.Baseline
-
Sets the value of the gaussianDistribution property.
- setGeneralRegressionModel(GeneralRegressionModel) - Method in class weka.core.pmml.jaxbbindings.Segment
-
Sets the value of the generalRegressionModel property.
- setGenerateRanking(boolean) - Method in class weka.attributeSelection.GreedyStepwise
-
Records whether the user has requested a ranked list of attributes.
- setGenerateRanking(boolean) - Method in interface weka.attributeSelection.RankedOutputSearch
-
Sets whether or not ranking is to be performed.
- setGenerateRanking(boolean) - Method in class weka.attributeSelection.Ranker
-
This is a dummy set method---Ranker is ONLY capable of producing a ranked
list of attributes for attribute evaluators.
- setGenerator(DataGenerator) - Method in class weka.gui.explorer.DataGeneratorPanel
-
sets the generator to use initially
- setGeneratorSamplesBase(double) - Method in class weka.gui.boundaryvisualizer.BoundaryPanel
-
Set the base for computing the number of samples to obtain from each
generator.
- setGeneratorSamplesBase(double) - Method in class weka.gui.boundaryvisualizer.RemoteBoundaryVisualizerSubTask
-
Set the base for computing the number of samples to obtain from each
generator.
- setGlobalBlend(int) - Method in class weka.classifiers.lazy.KStar
-
Set the global blend parameter
- setGlobalModel(NBTreeNoSplit) - Method in class weka.classifiers.trees.j48.NBTreeSplit
-
Set the global naive bayes model for this node
- setGlobalTermWeights(String) - Method in class weka.core.pmml.jaxbbindings.TextModelNormalization
-
Sets the value of the globalTermWeights property.
- setGracePeriod(double) - Method in class weka.classifiers.trees.HoeffdingTree
-
Set the number of instances (or total weight of instances) a leaf should
observe between split attempts
- setGraphicalEnvironment(Object) - Method in class weka.gui.knowledgeflow.AbstractGraphicalCommand
-
Set a reference to the graphical environment
- setGraphicalEnvironment(Object) - Method in class weka.gui.knowledgeflow.GetPerspectiveNamesGraphicalCommand
-
Set the graphical environment
- setGraphicalEnvironment(Object) - Method in class weka.gui.knowledgeflow.SendToPerspectiveGraphicalCommand
-
Set the graphical environment
- setGraphicalEnvironmentCommandHandler(GraphicalEnvironmentCommandHandler) - Method in class weka.knowledgeflow.BaseExecutionEnvironment
-
Set the environment for performing commands at the application-level in a
graphical environment.
- setGraphicalEnvironmentCommandHandler(GraphicalEnvironmentCommandHandler) - Method in interface weka.knowledgeflow.ExecutionEnvironment
-
Set the environment for performing commands at the application-level in a
graphical environment.
- setGridWidth(int) - Method in class weka.gui.beans.AttributeSummarizer
-
Set the width of the grid of plots
- setGroupField(String) - Method in class weka.core.pmml.jaxbbindings.Aggregate
-
Sets the value of the groupField property.
- setGroupIdentifier(long) - Method in class weka.gui.beans.BatchClassifierEvent
-
- setGUI(boolean) - Method in class weka.classifiers.functions.MultilayerPerceptron
-
This will set whether A GUI is brought up to allow interaction by the user
with the neural network during training.
- setGUIType(SelectedTag) - Method in class weka.gui.Main
-
Sets the type of GUI to use.
- setHandler(CapabilitiesHandler) - Method in class weka.core.FindWithCapabilities
-
sets the Capabilities handler to generate the data for.
- setHandler(CapabilitiesHandler) - Method in class weka.core.TestInstances
-
sets the Capabilities handler to generate the data for
- setHandleRightClicks(boolean) - Method in class weka.gui.ResultHistoryPanel
-
Set whether the result history list should handle right clicks or whether
the parent object will handle them.
- setHeader(Instances) - Method in class weka.classifiers.evaluation.output.prediction.AbstractOutput
-
Sets the header of the dataset.
- setHeader(Header) - Method in class weka.core.pmml.jaxbbindings.PMML
-
Sets the value of the header property.
- setHeadless(boolean) - Method in class weka.knowledgeflow.BaseExecutionEnvironment
-
Set whether this execution environment is headless
- setHeadless(boolean) - Method in interface weka.knowledgeflow.ExecutionEnvironment
-
Set whether this execution environment is headless
- setHeuristicStop(int) - Method in class weka.classifiers.functions.SimpleLogistic
-
Set the value of heuristicStop.
- setHeuristicStop(int) - Method in class weka.classifiers.trees.lmt.LogisticBase
-
Sets the option "heuristicStop".
- setHidden(boolean) - Method in class weka.gui.beans.BeanConnection
-
Make this connection invisible on the display
- setHiddenLayers(String) - Method in class weka.classifiers.functions.MultilayerPerceptron
-
This will set what the hidden layers are made up of when auto build is
enabled.
- setHighlight(String) - Method in class weka.gui.treevisualizer.TreeVisualizer
-
Set the highlight for the node with the given id
- setHighlighted(boolean) - Method in class weka.gui.beans.Note
-
- setHighlighted(boolean) - Method in class weka.gui.knowledgeflow.NoteVisual
-
Set whether the note should appear "highlighted" (i.e.
- setHighValue(Double) - Method in class weka.core.pmml.jaxbbindings.MiningField
-
Sets the value of the highValue property.
- setHistory(DefaultListModel) - Method in class weka.gui.sql.ConnectionPanel
-
sets the local history to the given one.
- setHistory(DefaultListModel) - Method in class weka.gui.sql.QueryPanel
-
sets the local history to the given one.
- setHoeffdingTieThreshold(double) - Method in class weka.classifiers.trees.HoeffdingTree
-
Set the threshold below which a split will be forced to break ties
- setHoldOutFile(File) - Method in class weka.attributeSelection.ClassifierSubsetEval
-
Set the file that contains hold out/test instances
- setID(String) - Method in class weka.core.Defaults
-
Set the ID for this set of defaults
- setId(String) - Method in class weka.core.pmml.jaxbbindings.AssociationRule
-
Sets the value of the id property.
- setId(String) - Method in class weka.core.pmml.jaxbbindings.Cluster
-
Sets the value of the id property.
- setId(String) - Method in class weka.core.pmml.jaxbbindings.Item
-
Sets the value of the id property.
- setId(String) - Method in class weka.core.pmml.jaxbbindings.Itemset
-
Sets the value of the id property.
- setId(String) - Method in class weka.core.pmml.jaxbbindings.NeuralInput
-
Sets the value of the id property.
- setId(String) - Method in class weka.core.pmml.jaxbbindings.Neuron
-
Sets the value of the id property.
- setId(String) - Method in class weka.core.pmml.jaxbbindings.Node
-
Sets the value of the id property.
- setId(String) - Method in class weka.core.pmml.jaxbbindings.Segment
-
Sets the value of the id property.
- setId(String) - Method in class weka.core.pmml.jaxbbindings.Sequence
-
Sets the value of the id property.
- setId(String) - Method in class weka.core.pmml.jaxbbindings.SequenceRule
-
Sets the value of the id property.
- setId(String) - Method in class weka.core.pmml.jaxbbindings.SetPredicate
-
Sets the value of the id property.
- setId(String) - Method in class weka.core.pmml.jaxbbindings.SimpleRule
-
Sets the value of the id property.
- setId(String) - Method in class weka.core.pmml.jaxbbindings.TextDocument
-
Sets the value of the id property.
- setId(String) - Method in class weka.core.pmml.jaxbbindings.VectorInstance
-
Sets the value of the id property.
- setID(int) - Method in class weka.core.Tag
-
Sets the numeric ID of the Tag.
- setIDFTransform(boolean) - Method in class weka.core.DictionaryBuilder
-
Sets whether if the word frequencies in a document should be transformed
into:
fij*log(num of Docs/num of Docs with word i)
where fij is the frequency of word i in document(instance) j.
- setIDFTransform(boolean) - Method in class weka.filters.unsupervised.attribute.FixedDictionaryStringToWordVector
-
Sets whether if the word frequencies in a document should be transformed
into:
fij*log(num of Docs/num of Docs with word i)
where fij is the frequency of word i in document(instance) j.
- setIDFTransform(boolean) - Method in class weka.filters.unsupervised.attribute.StringToWordVector
-
Sets whether if the word frequencies in a document should be transformed
into:
fij*log(num of Docs/num of Docs with word i)
where fij is the frequency of word i in document(instance) j.
- setIDIndex(String) - Method in class weka.filters.unsupervised.attribute.AddID
-
Sets index of the attribute used.
- setIDStr(String) - Method in class weka.core.Tag
-
Sets the string ID of the Tag.
- setIgnoreCase(boolean) - Method in class weka.filters.unsupervised.attribute.RenameNominalValues
-
- setIgnoreCase(boolean) - Method in class weka.gui.beans.SubstringLabelerRules.SubstringLabelerMatchRule
-
Set whether to ignore case when matching
- setIgnoreCase(boolean) - Method in class weka.gui.beans.SubstringReplacerRules.SubstringReplacerMatchRule
-
Set whether to ignore case when matching
- setIgnoreCaseForNames(boolean) - Method in class weka.classifiers.misc.InputMappedClassifier
-
Set whether to ignore case when matching attribute names and nominal
values.
- setIgnoreClass(boolean) - Method in class weka.filters.unsupervised.attribute.PotentialClassIgnorer
-
Set the IgnoreClass value.
- setIgnoreClass(boolean) - Method in class weka.filters.unsupervised.attribute.ReplaceWithMissingValue
-
Set the IgnoreClass value.
- setIgnoredAttributeIndices(String) - Method in class weka.filters.unsupervised.attribute.AddCluster
-
Sets the ranges of attributes to be ignored.
- setIgnoredAttributeIndices(String) - Method in class weka.filters.unsupervised.attribute.ClusterMembership
-
Sets the ranges of attributes to be ignored.
- setIgnoredProperties(String) - Method in class weka.core.CheckGOE
-
Sets the properties to ignore in checkToolTips().
- setIgnoreRange(String) - Method in class weka.filters.unsupervised.attribute.MathExpression
-
Set which attributes are to be ignored
- setImageHeight(int) - Method in class weka.knowledgeflow.steps.BoundaryPlotter
-
Set the image height (in pixels)
- setImageWidth(int) - Method in class weka.knowledgeflow.steps.BoundaryPlotter
-
Set the image width (in pixels)
- setImportance(BigDecimal) - Method in class weka.core.pmml.jaxbbindings.MiningField
-
Sets the value of the importance property.
- setImportance(BigDecimal) - Method in class weka.core.pmml.jaxbbindings.MultivariateStat
-
Sets the value of the importance property.
- setIncludeClass(boolean) - Method in class weka.core.InstanceComparator
-
Sets whether the class should be included in the comparison.
- setIncludeClass(boolean) - Method in class weka.filters.unsupervised.attribute.NumericCleaner
-
Sets whether the class can be cleaned, too.
- setIncludeRelationName(boolean) - Method in class weka.gui.beans.SerializedModelSaver
-
Set whether the relation name of the training data used to create the model
should be included as part of the filename for the serialized model.
- setIncludeRelationNameInFilename(boolean) - Method in class weka.knowledgeflow.steps.SerializedModelSaver
-
Set whether to include the relation name as part of the filename
- setIncrementalLoggingFrequency(String) - Method in class weka.knowledgeflow.steps.WriteWekaLog
-
Set how frequently to write an incremental data point to the log
- setIncrementalSaveSchedule(int) - Method in class weka.gui.beans.SerializedModelSaver
-
Set how often to save incremental models.
- setIncrementalSaveSchedule(int) - Method in class weka.knowledgeflow.steps.SerializedModelSaver
-
Set how frequently to save an incremental model
- setIndentationSize(int) - Method in class weka.gui.scripting.SyntaxDocument
-
Sets the number of blanks to use for indentation.
- setIndex(BigInteger) - Method in class weka.core.pmml.jaxbbindings.TimeValue
-
Sets the value of the index property.
- setIndex(int) - Method in class weka.core.pmml.MiningFieldMetaInfo
-
Set the index of this field in the mining schema Instances
- setInfoData(Vector<Instances>) - Method in interface weka.gui.visualize.InstanceInfo
-
Sets the underlying data.
- setInfoData(Vector<Instances>) - Method in class weka.gui.visualize.InstanceInfoFrame
-
Sets the underlying data.
- setInfoText(String) - Method in interface weka.gui.visualize.InstanceInfo
-
Sets the text to display.
- setInfoText(String) - Method in class weka.gui.visualize.InstanceInfoFrame
-
Sets the text to display.
- setInitAsNaiveBayes(boolean) - Method in class weka.classifiers.bayes.net.search.global.HillClimber
-
Sets whether to init as naive bayes
- setInitAsNaiveBayes(boolean) - Method in class weka.classifiers.bayes.net.search.global.K2
-
Sets whether to init as naive bayes
- setInitAsNaiveBayes(boolean) - Method in class weka.classifiers.bayes.net.search.local.HillClimber
-
Sets whether to init as naive bayes
- setInitAsNaiveBayes(boolean) - Method in class weka.classifiers.bayes.net.search.local.K2
-
Sets whether to init as naive bayes
- setInitFile(File) - Method in class weka.filters.unsupervised.attribute.KernelFilter
-
Sets the file to initialize the filter with, can be null.
- setInitFileClassIndex(String) - Method in class weka.filters.unsupervised.attribute.KernelFilter
-
Sets class index of the file to initialize the filter with.
- setInitialAnchorRandom(boolean) - Method in class weka.core.neighboursearch.balltrees.MiddleOutConstructor
-
Sets whether if the initial anchor is chosen randomly.
- setInitialCount(double) - Method in class weka.classifiers.trees.REPTree
-
Set the value of InitialCount.
- setInitializationMethod(SelectedTag) - Method in class weka.clusterers.SimpleKMeans
-
Set the initialization method to use
- setInitialScore(Double) - Method in class weka.core.pmml.jaxbbindings.Scorecard
-
Sets the value of the initialScore property.
- setInitialSplitPaneDividerLocation() - Method in class weka.gui.PackageManager
-
Setting the initial placement of the divider line on a JSplitPane is
problematic.
- setInlineTable(InlineTable) - Method in class weka.core.pmml.jaxbbindings.ChildParent
-
Sets the value of the inlineTable property.
- setInlineTable(InlineTable) - Method in class weka.core.pmml.jaxbbindings.MapValues
-
Sets the value of the inlineTable property.
- setInlineTable(InlineTable) - Method in class weka.core.pmml.jaxbbindings.ModelVerification
-
Sets the value of the inlineTable property.
- setInlineTable(InlineTable) - Method in class weka.core.pmml.jaxbbindings.TrainingInstances
-
Sets the value of the inlineTable property.
- setInputFilename(String) - Method in class weka.gui.GenericPropertiesCreator
-
sets the file to get the information about the packages from.
- setInputFormat(Instances) - Method in class weka.filters.AllFilter
-
Sets the format of the input instances.
- setInputFormat(Instances) - Method in class weka.filters.Filter
-
Sets the format of the input instances.
- setInputFormat(Instances) - Method in class weka.filters.RenameRelation
-
Sets the format of the input instances.
- setInputFormat(Instances) - Method in class weka.filters.SimpleFilter
-
Sets the format of the input instances.
- setInputFormat(Instances) - Method in class weka.filters.supervised.attribute.ClassOrder
-
Sets the format of the input instances.
- setInputFormat(Instances) - Method in class weka.filters.supervised.attribute.Discretize
-
Sets the format of the input instances.
- setInputFormat(Instances) - Method in class weka.filters.supervised.attribute.NominalToBinary
-
Sets the format of the input instances.
- setInputFormat(Instances) - Method in class weka.filters.supervised.attribute.PartitionMembership
-
Sets the format of the input instances.
- setInputFormat(Instances) - Method in class weka.filters.supervised.instance.Resample
-
Sets the format of the input instances.
- setInputFormat(Instances) - Method in class weka.filters.supervised.instance.SpreadSubsample
-
Sets the format of the input instances.
- setInputFormat(Instances) - Method in class weka.filters.supervised.instance.StratifiedRemoveFolds
-
Sets the format of the input instances.
- setInputFormat(Instances) - Method in class weka.filters.unsupervised.attribute.AbstractTimeSeries
-
Sets the format of the input instances.
- setInputFormat(Instances) - Method in class weka.filters.unsupervised.attribute.Add
-
Sets the format of the input instances.
- setInputFormat(Instances) - Method in class weka.filters.unsupervised.attribute.AddCluster
-
Sets the format of the input instances.
- setInputFormat(Instances) - Method in class weka.filters.unsupervised.attribute.AddExpression
-
Sets the format of the input instances.
- setInputFormat(Instances) - Method in class weka.filters.unsupervised.attribute.AddID
-
Sets the format of the input instances.
- setInputFormat(Instances) - Method in class weka.filters.unsupervised.attribute.AddNoise
-
Sets the format of the input instances.
- setInputFormat(Instances) - Method in class weka.filters.unsupervised.attribute.AddUserFields
-
Sets the format of the input instances.
- setInputFormat(Instances) - Method in class weka.filters.unsupervised.attribute.AddValues
-
Sets the format of the input instances.
- setInputFormat(Instances) - Method in class weka.filters.unsupervised.attribute.Center
-
Sets the format of the input instances.
- setInputFormat(Instances) - Method in class weka.filters.unsupervised.attribute.ChangeDateFormat
-
Sets the format of the input instances.
- setInputFormat(Instances) - Method in class weka.filters.unsupervised.attribute.ClusterMembership
-
Sets the format of the input instances.
- setInputFormat(Instances) - Method in class weka.filters.unsupervised.attribute.Copy
-
Sets the format of the input instances.
- setInputFormat(Instances) - Method in class weka.filters.unsupervised.attribute.Discretize
-
Sets the format of the input instances.
- setInputFormat(Instances) - Method in class weka.filters.unsupervised.attribute.FirstOrder
-
Sets the format of the input instances.
- setInputFormat(Instances) - Method in class weka.filters.unsupervised.attribute.MakeIndicator
-
Sets the format of the input instances.
- setInputFormat(Instances) - Method in class weka.filters.unsupervised.attribute.MathExpression
-
Sets the format of the input instances.
- setInputFormat(Instances) - Method in class weka.filters.unsupervised.attribute.MergeManyValues
-
Sets the format of the input instances.
- setInputFormat(Instances) - Method in class weka.filters.unsupervised.attribute.MergeTwoValues
-
Sets the format of the input instances.
- setInputFormat(Instances) - Method in class weka.filters.unsupervised.attribute.NominalToBinary
-
Sets the format of the input instances.
- setInputFormat(Instances) - Method in class weka.filters.unsupervised.attribute.NominalToString
-
Sets the format of the input instances.
- setInputFormat(Instances) - Method in class weka.filters.unsupervised.attribute.Normalize
-
Sets the format of the input instances.
- setInputFormat(Instances) - Method in class weka.filters.unsupervised.attribute.NumericToBinary
-
Sets the format of the input instances.
- setInputFormat(Instances) - Method in class weka.filters.unsupervised.attribute.NumericTransform
-
Sets the format of the input instances.
- setInputFormat(Instances) - Method in class weka.filters.unsupervised.attribute.Obfuscate
-
Sets the format of the input instances.
- setInputFormat(Instances) - Method in class weka.filters.unsupervised.attribute.OrdinalToNumeric
-
Sets the format of the input instances.
- setInputFormat(Instances) - Method in class weka.filters.unsupervised.attribute.PKIDiscretize
-
Sets the format of the input instances.
- setInputFormat(Instances) - Method in class weka.filters.unsupervised.attribute.PotentialClassIgnorer
-
Sets the format of the input instances.
- setInputFormat(Instances) - Method in class weka.filters.unsupervised.attribute.PrincipalComponents
-
Sets the format of the input instances.
- setInputFormat(Instances) - Method in class weka.filters.unsupervised.attribute.RandomProjection
-
Sets the format of the input instances.
- setInputFormat(Instances) - Method in class weka.filters.unsupervised.attribute.Remove
-
Sets the format of the input instances.
- setInputFormat(Instances) - Method in class weka.filters.unsupervised.attribute.RemoveType
-
Sets the format of the input instances.
- setInputFormat(Instances) - Method in class weka.filters.unsupervised.attribute.RemoveUseless
-
Sets the format of the input instances.
- setInputFormat(Instances) - Method in class weka.filters.unsupervised.attribute.RenameNominalValues
-
Sets the format of the input instances.
- setInputFormat(Instances) - Method in class weka.filters.unsupervised.attribute.Reorder
-
Sets the format of the input instances.
- setInputFormat(Instances) - Method in class weka.filters.unsupervised.attribute.ReplaceMissingValues
-
Sets the format of the input instances.
- setInputFormat(Instances) - Method in class weka.filters.unsupervised.attribute.ReplaceMissingWithUserConstant
-
- setInputFormat(Instances) - Method in class weka.filters.unsupervised.attribute.Standardize
-
Sets the format of the input instances.
- setInputFormat(Instances) - Method in class weka.filters.unsupervised.attribute.StringToNominal
-
Sets the format of the input instances.
- setInputFormat(Instances) - Method in class weka.filters.unsupervised.attribute.StringToWordVector
-
Sets the format of the input instances.
- setInputFormat(Instances) - Method in class weka.filters.unsupervised.attribute.SwapValues
-
Sets the format of the input instances.
- setInputFormat(Instances) - Method in class weka.filters.unsupervised.attribute.TimeSeriesDelta
-
Sets the format of the input instances.
- setInputFormat(Instances) - Method in class weka.filters.unsupervised.attribute.TimeSeriesTranslate
-
Sets the format of the input instances.
- setInputFormat(Instances) - Method in class weka.filters.unsupervised.instance.NonSparseToSparse
-
Sets the format of the input instances.
- setInputFormat(Instances) - Method in class weka.filters.unsupervised.instance.Randomize
-
Sets the format of the input instances.
- setInputFormat(Instances) - Method in class weka.filters.unsupervised.instance.RemoveFolds
-
Sets the format of the input instances.
- setInputFormat(Instances) - Method in class weka.filters.unsupervised.instance.RemoveFrequentValues
-
Sets the format of the input instances.
- setInputFormat(Instances) - Method in class weka.filters.unsupervised.instance.RemoveMisclassified
-
Sets the format of the input instances.
- setInputFormat(Instances) - Method in class weka.filters.unsupervised.instance.RemovePercentage
-
Sets the format of the input instances.
- setInputFormat(Instances) - Method in class weka.filters.unsupervised.instance.RemoveRange
-
Sets the format of the input instances.
- setInputFormat(Instances) - Method in class weka.filters.unsupervised.instance.RemoveWithValues
-
Sets the format of the input instances.
- setInputFormat(Instances) - Method in class weka.filters.unsupervised.instance.Resample
-
Sets the format of the input instances.
- setInputFormat(Instances) - Method in class weka.filters.unsupervised.instance.ReservoirSample
-
Sets the format of the input instances.
- setInputFormat(Instances) - Method in class weka.filters.unsupervised.instance.SparseToNonSparse
-
Sets the format of the input instances.
- setInputOrder(SelectedTag) - Method in class weka.datagenerators.clusterers.BIRCHCluster
-
Sets the input order.
- setInputs(Vector<Object>) - Method in class weka.gui.beans.MetaBean
-
- setInstance(int) - Method in class weka.core.expressionlanguage.weka.InstancesHelper
-
Sets the instance at index i of the supplied dataset to be the current
instance
- setInstance(Instance) - Method in class weka.core.expressionlanguage.weka.InstancesHelper
-
Sets the current instance to be the supplied instance
- setInstance(Instance) - Method in class weka.gui.beans.InstanceEvent
-
Set the instance
- setInstanceFields(InstanceFields) - Method in class weka.core.pmml.jaxbbindings.TrainingInstances
-
Sets the value of the instanceFields property.
- setInstanceIdVariable(String) - Method in class weka.core.pmml.jaxbbindings.NearestNeighborModel
-
Sets the value of the instanceIdVariable property.
- setInstanceList(int[]) - Method in class weka.core.neighboursearch.balltrees.BallSplitter
-
Sets the master index array containing indices of the training instances.
- setInstanceList(int[]) - Method in class weka.core.neighboursearch.balltrees.BallTreeConstructor
-
Sets the master index array that points to instances in m_Instances, so
that only this array is manipulated, and m_Instances is left untouched.
- setInstanceList(int[]) - Method in class weka.core.neighboursearch.balltrees.MiddleOutConstructor
-
Sets the master index array that points to instances in m_Instances, so
that only this array is manipulated, and m_Instances is left untouched.
- setInstanceList(int[]) - Method in class weka.core.neighboursearch.kdtrees.KDTreeNodeSplitter
-
Sets the master index array containing indices of the training instances.
- setInstanceRange(int) - Method in class weka.filters.unsupervised.attribute.AbstractTimeSeries
-
Sets the number of instances forward to translate values between.
- setInstances(Instances) - Method in class weka.core.converters.AbstractSaver
-
Sets instances that should be stored.
- setInstances(Instances) - Method in class weka.core.converters.JSONSaver
-
Sets instances that should be stored.
- setInstances(Instances) - Method in class weka.core.converters.LibSVMSaver
-
Sets instances that should be stored.
- setInstances(Instances) - Method in interface weka.core.converters.Saver
-
Sets the instances to be saved
- setInstances(Instances) - Method in class weka.core.converters.SVMLightSaver
-
Sets instances that should be stored.
- setInstances(Instances) - Method in class weka.core.converters.XRFFSaver
-
Sets instances that should be stored.
- setInstances(Instances) - Method in interface weka.core.DistanceFunction
-
Sets the instances.
- setInstances(Instances) - Method in class weka.core.FilteredDistance
-
Sets the instances.
- setInstances(Instances) - Method in class weka.core.neighboursearch.BallTree
-
Builds the BallTree based on the given set of instances.
- setInstances(Instances) - Method in class weka.core.neighboursearch.balltrees.BallSplitter
-
Sets the training instances on which the tree is (or is to be) built.
- setInstances(Instances) - Method in class weka.core.neighboursearch.balltrees.BallTreeConstructor
-
Sets the instances on which the tree is to be built.
- setInstances(Instances) - Method in class weka.core.neighboursearch.balltrees.MiddleOutConstructor
-
Sets the instances on which the tree is to be built.
- setInstances(Instances) - Method in class weka.core.neighboursearch.CoverTree
-
Builds the Cover Tree on the given set of instances.
- setInstances(Instances) - Method in class weka.core.neighboursearch.FilteredNeighbourSearch
-
Sets the instances to build the filtering model from.
- setInstances(Instances) - Method in class weka.core.neighboursearch.KDTree
-
Builds the KDTree on the given set of instances.
- setInstances(Instances) - Method in class weka.core.neighboursearch.kdtrees.KDTreeNodeSplitter
-
Sets the training instances on which the tree is (or is to be) built.
- setInstances(Instances) - Method in class weka.core.neighboursearch.LinearNNSearch
-
Sets the instances comprising the current neighbourhood.
- setInstances(Instances) - Method in class weka.core.neighboursearch.NearestNeighbourSearch
-
Sets the instances.
- setInstances(Instances) - Method in class weka.core.NormalizableDistance
-
Sets the instances.
- setInstances(Instances) - Method in class weka.core.xml.XMLInstances
-
builds up the XML structure based on the given data
- setInstances(Instances) - Method in class weka.experiment.AveragingResultProducer
-
Sets the dataset that results will be obtained for.
- setInstances(Instances) - Method in class weka.experiment.CrossValidationResultProducer
-
Sets the dataset that results will be obtained for.
- setInstances(Instances) - Method in class weka.experiment.DatabaseResultProducer
-
Sets the dataset that results will be obtained for.
- setInstances(Instances) - Method in class weka.experiment.ExplicitTestsetResultProducer
-
Sets the dataset that results will be obtained for.
- setInstances(Instances) - Method in class weka.experiment.LearningRateResultProducer
-
Sets the dataset that results will be obtained for.
- setInstances(Instances) - Method in class weka.experiment.PairedTTester
-
Set the value of Instances.
- setInstances(Instances) - Method in class weka.experiment.RandomSplitResultProducer
-
Sets the dataset that results will be obtained for.
- setInstances(Instances) - Method in interface weka.experiment.ResultProducer
-
Sets the dataset that results will be obtained for.
- setInstances(Instances) - Method in interface weka.experiment.Tester
-
Set the value of Instances.
- setInstances(Instances) - Method in class weka.gui.AbstractPerspective
-
Set instances (if this perspective can use them)
- setInstances(Instances) - Method in class weka.gui.arffviewer.ArffPanel
-
displays the given instances, i.e.
- setInstances(Instances) - Method in class weka.gui.arffviewer.ArffSortedTableModel
-
sets the data
- setInstances(Instances) - Method in class weka.gui.arffviewer.ArffTableModel
-
sets the data
- setInstances(Instances) - Method in class weka.gui.AttributeListPanel
-
Sets the instances who's attribute names will be displayed.
- setInstances(Instances) - Method in class weka.gui.AttributeSelectionPanel
-
Sets the instances who's attribute names will be displayed.
- setInstances(Instances) - Method in class weka.gui.AttributeSummaryPanel
-
Tells the panel to use a new set of instances.
- setInstances(Instances) - Method in class weka.gui.AttributeVisualizationPanel
-
Sets the instances for use
- setInstances(Instances) - Method in class weka.gui.beans.AttributeSummarizer
-
Set instances for this bean.
- setInstances(Instances) - Method in class weka.gui.beans.DataVisualizer
-
Set instances for this bean.
- setInstances(Instances) - Method in interface weka.gui.beans.KnowledgeFlowApp.KFPerspective
-
Set instances (if the perspective accepts them)
- setInstances(Instances) - Method in class weka.gui.beans.KnowledgeFlowApp.MainKFPerspective
-
- setInstances(Instances) - Method in class weka.gui.beans.ScatterPlotMatrix
-
Set instances for this bean.
- setInstances(Instances) - Method in class weka.gui.beans.SQLViewerPerspective
-
Set instances (if the perspective accepts them)
- setInstances(Instances) - Method in class weka.gui.boundaryvisualizer.BoundaryVisualizer
-
Set the training instances
- setInstances(Instances) - Method in class weka.gui.boundaryvisualizer.RemoteBoundaryVisualizerSubTask
-
Set the training data
- setInstances(Instances) - Method in class weka.gui.experiment.ResultsPanel
-
Sets up the panel with a new set of instances, attempting to guess the
correct settings for various columns.
- setInstances(Instances) - Method in class weka.gui.explorer.AbstractPlotInstances
-
Sets the instances that are the basis for the plot instances.
- setInstances(Instances) - Method in class weka.gui.explorer.AssociationsPanel
-
Tells the panel to use a new set of instances.
- setInstances(Instances) - Method in class weka.gui.explorer.AttributeSelectionPanel
-
Tells the panel to use a new set of instances.
- setInstances(Instances) - Method in class weka.gui.explorer.ClassifierPanel
-
Tells the panel to use a new set of instances.
- setInstances(Instances) - Method in class weka.gui.explorer.ClustererPanel
-
Tells the panel to use a new set of instances.
- setInstances(Instances) - Method in interface weka.gui.explorer.Explorer.ExplorerPanel
-
Tells the panel to use a new set of instances.
- setInstances(Instances) - Method in class weka.gui.explorer.PreprocessPanel
-
Tells the panel to use a new base set of instances.
- setInstances(Instances) - Method in class weka.gui.explorer.VisualizePanel
-
- setInstances(Instances) - Method in class weka.gui.InstancesSummaryPanel
-
Tells the panel to use a new set of instances.
- setInstances(Instances) - Method in class weka.gui.knowledgeflow.AttributeSummaryPerspective
-
Set the instances to visualize
- setInstances(Instances, Settings) - Method in class weka.gui.knowledgeflow.AttributeSummaryPerspective
-
Set the instances to visualize
- setInstances(Instances) - Method in class weka.gui.knowledgeflow.MainKFPerspective
-
Set instances (if this perspective can use them)
- setInstances(Instances) - Method in class weka.gui.knowledgeflow.ScatterPlotMatrixPerspective
-
Set the instances to use
- setInstances(Instances) - Method in interface weka.gui.Perspective
-
Set instances (if this perspective can use them)
- setInstances(Instances) - Method in class weka.gui.SetInstancesPanel
-
Updates the set of instances that is currently held by the panel.
- setInstances(Instances, boolean) - Method in class weka.gui.SetInstancesPanel
-
Updates the set of instances that is currently held by the panel.
- setInstances(Instances) - Method in class weka.gui.SimpleCLIPanel
-
- setInstances(Instances) - Method in class weka.gui.ViewerDialog
-
sets the instances to display
- setInstances(Instances) - Method in class weka.gui.visualize.AttributePanel
-
This sets the instances to be drawn into the attribute panel
- setInstances(Instances) - Method in class weka.gui.visualize.ClassPanel
-
Set the instances.
- setInstances(Instances) - Method in class weka.gui.visualize.MatrixPanel
-
This method changes the Instances object of this class to a new one.
- setInstances(Instances) - Method in class weka.gui.visualize.Plot2D
-
Sets the master plot from a set of instances
- setInstances(Instances) - Method in class weka.gui.visualize.VisualizePanel
-
Tells the panel to use a new set of instances.
- setInstances(Instances) - Method in class weka.knowledgeflow.steps.MemoryBasedDataSource
-
Set the data to output from this step
- setInstancesFromDB(InstanceQuery) - Method in class weka.gui.explorer.PreprocessPanel
-
Loads instances from a database
- setInstancesFromDBQ(String, String, String, String) - Method in class weka.gui.explorer.PreprocessPanel
-
Loads (non-sparse) instances from an SQL query the user provided with the
SqlViewerDialog, then loads the instances in a background process.
- setInstancesFromDBQ(String, String, String, String, boolean) - Method in class weka.gui.explorer.PreprocessPanel
-
Loads instances from an SQL query the user provided with the
SqlViewerDialog, then loads the instances in a background process.
- setInstancesFromFile(AbstractFileLoader) - Method in class weka.gui.explorer.PreprocessPanel
-
Loads results from a set of instances retrieved with the supplied loader.
- setInstancesFromFileQ() - Method in class weka.gui.boundaryvisualizer.BoundaryVisualizer
-
Queries the user for a file to load instances from, then loads the
instances in a background process.
- setInstancesFromFileQ() - Method in class weka.gui.explorer.PreprocessPanel
-
Queries the user for a file to load instances from, then loads the
instances in a background process.
- setInstancesFromFileQ() - Method in class weka.gui.SetInstancesPanel
-
Queries the user for a file to load instances from, then loads the
instances in a background process.
- setInstancesFromURL(URL) - Method in class weka.gui.explorer.PreprocessPanel
-
Loads instances from a URL.
- setInstancesFromURLQ() - Method in class weka.gui.explorer.PreprocessPanel
-
Queries the user for a URL to load instances from, then loads the instances
in a background process.
- setInstancesFromURLQ() - Method in class weka.gui.SetInstancesPanel
-
Queries the user for a URL to load instances from, then loads the instances
in a background process.
- setInstancesIndices(String) - Method in class weka.filters.unsupervised.instance.RemoveRange
-
Sets the ranges of instances to be selected.
- SetInstancesPanel - Class in weka.gui
-
A panel that displays an instance summary for a set of instances and lets the
user open a set of instances from either a file or URL.
- SetInstancesPanel() - Constructor for class weka.gui.SetInstancesPanel
-
Default constructor.
- SetInstancesPanel(boolean, boolean, ConverterFileChooser) - Constructor for class weka.gui.SetInstancesPanel
-
Create the panel.
- setInstanceWeight() - Method in class weka.gui.arffviewer.ArffPanel
-
Allows setting the weight of the instance at the selected row.
- setInstanceWeight(int, double) - Method in class weka.gui.arffviewer.ArffSortedTableModel
-
Sets the weight of the selected instance
- setInstanceWeight(int, double) - Method in class weka.gui.arffviewer.ArffTableModel
-
- setInstanceWeight(int, double, boolean) - Method in class weka.gui.arffviewer.ArffTableModel
-
- setInterAnchorDistances(Vector<MiddleOutConstructor.TempNode>, MiddleOutConstructor.TempNode, Vector<double[]>) - Method in class weka.core.neighboursearch.balltrees.MiddleOutConstructor
-
Sets the distances of a supplied new anchor to all the rest of the previous
anchor points.
- setIntercept(double) - Method in class weka.core.pmml.jaxbbindings.RegressionTable
-
Sets the value of the intercept property.
- setInternalCacheSize(int) - Method in class weka.classifiers.functions.supportVector.StringKernel
-
sets the size of the internal cache for intermediate results.
- setInterpolationMethod(INTERPOLATIONMETHOD) - Method in class weka.core.pmml.jaxbbindings.TimeSeries
-
Sets the value of the interpolationMethod property.
- setInterQuartileRange(Double) - Method in class weka.core.pmml.jaxbbindings.NumericInfo
-
Sets the value of the interQuartileRange property.
- setInterval(Interval) - Method in class weka.core.pmml.jaxbbindings.DiscretizeBin
-
Sets the value of the interval property.
- setInvalidFreq(Double) - Method in class weka.core.pmml.jaxbbindings.Counts
-
Sets the value of the invalidFreq property.
- setInvalidValueTreatment(INVALIDVALUETREATMENTMETHOD) - Method in class weka.core.pmml.jaxbbindings.Apply
-
Sets the value of the invalidValueTreatment property.
- setInvalidValueTreatment(INVALIDVALUETREATMENTMETHOD) - Method in class weka.core.pmml.jaxbbindings.MiningField
-
Sets the value of the invalidValueTreatment property.
- setInvert(boolean) - Method in class weka.core.InstanceComparator
-
Sets whether to invert the matching sense of the attribute range.
- setInvert(boolean) - Method in class weka.core.Range
-
Sets whether the range sense is inverted, i.e.
- setInvert(boolean) - Method in class weka.filters.unsupervised.instance.RemoveMisclassified
-
Set whether selection is inverted.
- setInvertSelection(boolean) - Method in class weka.core.converters.DictionarySaver
-
Sets whether selected columns should be processed or skipped.
- setInvertSelection(boolean) - Method in class weka.core.DictionaryBuilder
-
Sets whether selected columns should be processed or skipped.
- setInvertSelection(boolean) - Method in interface weka.core.DistanceFunction
-
Sets whether the matching sense of attribute indices is inverted or not.
- setInvertSelection(boolean) - Method in class weka.core.FilteredDistance
-
Sets whether the matching sense of attribute indices is inverted or not.
- setInvertSelection(boolean) - Method in class weka.core.NormalizableDistance
-
Sets whether the matching sense of attribute indices is inverted or not.
- setInvertSelection(boolean) - Method in class weka.filters.supervised.attribute.Discretize
-
Sets whether selected columns should be removed or kept.
- setInvertSelection(boolean) - Method in class weka.filters.supervised.attribute.MergeNominalValues
-
Set whether selected attributes should be acted on or all other attributes.
- setInvertSelection(boolean) - Method in class weka.filters.supervised.instance.Resample
-
Sets whether the selection is inverted (only if instances are drawn WIHTOUT
replacement).
- setInvertSelection(boolean) - Method in class weka.filters.supervised.instance.StratifiedRemoveFolds
-
Sets if selection is to be inverted.
- setInvertSelection(boolean) - Method in class weka.filters.unsupervised.attribute.AbstractTimeSeries
-
Set whether selected columns should be removed or kept.
- setInvertSelection(boolean) - Method in class weka.filters.unsupervised.attribute.Copy
-
Set whether selected columns should be removed or kept.
- setInvertSelection(boolean) - Method in class weka.filters.unsupervised.attribute.DateToNumeric
-
Sets whether selected columns should be worked on or all the others apart
from these.
- setInvertSelection(boolean) - Method in class weka.filters.unsupervised.attribute.Discretize
-
Sets whether selected columns should be removed or kept.
- setInvertSelection(boolean) - Method in class weka.filters.unsupervised.attribute.FixedDictionaryStringToWordVector
-
Sets whether selected columns should be processed or skipped.
- setInvertSelection(boolean) - Method in class weka.filters.unsupervised.attribute.MathExpression
-
Set whether selected columns should be select or unselect.
- setInvertSelection(boolean) - Method in class weka.filters.unsupervised.attribute.MergeInfrequentNominalValues
-
Set whether selected attributes should be acted on or all other attributes.
- setInvertSelection(boolean) - Method in class weka.filters.unsupervised.attribute.NominalToBinary
-
Sets whether selected columns should be removed or kept.
- setInvertSelection(boolean) - Method in class weka.filters.unsupervised.attribute.NumericCleaner
-
Sets whether the selection of the indices is inverted or not
- setInvertSelection(boolean) - Method in class weka.filters.unsupervised.attribute.NumericToBinary
-
Sets whether selected columns should be worked on or all the others apart
from these.
- setInvertSelection(boolean) - Method in class weka.filters.unsupervised.attribute.NumericToDate
-
Sets whether selected columns should be worked on or all the others apart
from these.
- setInvertSelection(boolean) - Method in class weka.filters.unsupervised.attribute.NumericToNominal
-
Sets whether selected columns should be worked on or all the others apart
from these.
- setInvertSelection(boolean) - Method in class weka.filters.unsupervised.attribute.NumericTransform
-
Set whether selected columns should be transformed or not.
- setInvertSelection(boolean) - Method in class weka.filters.unsupervised.attribute.RandomSubset
-
Set whether to invert the selection - i.e.
- setInvertSelection(boolean) - Method in class weka.filters.unsupervised.attribute.Remove
-
Set whether selected columns should be removed or kept.
- setInvertSelection(boolean) - Method in class weka.filters.unsupervised.attribute.RemoveByName
-
Set whether selected columns should be removed or kept.
- setInvertSelection(boolean) - Method in class weka.filters.unsupervised.attribute.RemoveType
-
Set whether selected columns should be removed or kept.
- setInvertSelection(boolean) - Method in class weka.filters.unsupervised.attribute.RenameAttribute
-
Sets whether to invert the selection of the attributes.
- setInvertSelection(boolean) - Method in class weka.filters.unsupervised.attribute.RenameNominalValues
-
Set whether selected columns should be removed or kept.
- setInvertSelection(boolean) - Method in class weka.filters.unsupervised.attribute.ReplaceWithMissingValue
-
Sets whether selected columns should be worked on or all the others apart
from these.
- setInvertSelection(boolean) - Method in class weka.filters.unsupervised.attribute.SortLabels
-
Sets whether selected columns should be processed or skipped.
- setInvertSelection(boolean) - Method in class weka.filters.unsupervised.attribute.StringToWordVector
-
Sets whether selected columns should be processed or skipped.
- setInvertSelection(boolean) - Method in class weka.filters.unsupervised.instance.RemoveFolds
-
Sets if selection is to be inverted.
- setInvertSelection(boolean) - Method in class weka.filters.unsupervised.instance.RemoveFrequentValues
-
Set whether selected values should be removed or kept.
- setInvertSelection(boolean) - Method in class weka.filters.unsupervised.instance.RemovePercentage
-
Sets if selection is to be inverted.
- setInvertSelection(boolean) - Method in class weka.filters.unsupervised.instance.RemoveRange
-
Sets if selection is to be inverted.
- setInvertSelection(boolean) - Method in class weka.filters.unsupervised.instance.RemoveWithValues
-
Set whether selected values should be removed or kept.
- setInvertSelection(boolean) - Method in class weka.filters.unsupervised.instance.Resample
-
Sets whether the selection is inverted (only if instances are drawn WIHTOUT
replacement).
- setIRClassValue(String) - Method in class weka.attributeSelection.ClassifierAttributeEval
-
Set the class value (label or index) to use with IR metric evaluation of
subsets.
- setIRClassValue(String) - Method in class weka.attributeSelection.ClassifierSubsetEval
-
Set the class value (label or index) to use with IR metric evaluation of
subsets.
- setIRClassValue(String) - Method in class weka.attributeSelection.WrapperSubsetEval
-
Set the class value (label or index) to use with IR metric evaluation of
subsets.
- setIsCenterField(String) - Method in class weka.core.pmml.jaxbbindings.ClusteringField
-
Sets the value of the isCenterField property.
- setIsCyclic(String) - Method in class weka.core.pmml.jaxbbindings.DataField
-
Sets the value of the isCyclic property.
- setIsIntercept(Boolean) - Method in class weka.core.pmml.jaxbbindings.MultivariateStat
-
Sets the value of the isIntercept property.
- setIsMultiValued(String) - Method in class weka.core.pmml.jaxbbindings.OutputField
-
Sets the value of the isMultiValued property.
- setIsOr(boolean) - Method in class weka.knowledgeflow.steps.FlowByExpression.ExpressionNode
-
Set whether this node is to be OR'ed to the result so far
- setIsRecursive(String) - Method in class weka.core.pmml.jaxbbindings.ChildParent
-
Sets the value of the isRecursive property.
- setIsScorable(Boolean) - Method in class weka.core.pmml.jaxbbindings.AssociationModel
-
Sets the value of the isScorable property.
- setIsScorable(Boolean) - Method in class weka.core.pmml.jaxbbindings.BaselineModel
-
Sets the value of the isScorable property.
- setIsScorable(Boolean) - Method in class weka.core.pmml.jaxbbindings.ClusteringModel
-
Sets the value of the isScorable property.
- setIsScorable(Boolean) - Method in class weka.core.pmml.jaxbbindings.GeneralRegressionModel
-
Sets the value of the isScorable property.
- setIsScorable(Boolean) - Method in class weka.core.pmml.jaxbbindings.MiningModel
-
Sets the value of the isScorable property.
- setIsScorable(Boolean) - Method in class weka.core.pmml.jaxbbindings.NaiveBayesModel
-
Sets the value of the isScorable property.
- setIsScorable(Boolean) - Method in class weka.core.pmml.jaxbbindings.NearestNeighborModel
-
Sets the value of the isScorable property.
- setIsScorable(Boolean) - Method in class weka.core.pmml.jaxbbindings.NeuralNetwork
-
Sets the value of the isScorable property.
- setIsScorable(Boolean) - Method in class weka.core.pmml.jaxbbindings.RegressionModel
-
Sets the value of the isScorable property.
- setIsScorable(Boolean) - Method in class weka.core.pmml.jaxbbindings.RuleSetModel
-
Sets the value of the isScorable property.
- setIsScorable(Boolean) - Method in class weka.core.pmml.jaxbbindings.Scorecard
-
Sets the value of the isScorable property.
- setIsScorable(Boolean) - Method in class weka.core.pmml.jaxbbindings.SequenceModel
-
Sets the value of the isScorable property.
- setIsScorable(Boolean) - Method in class weka.core.pmml.jaxbbindings.SupportVectorMachineModel
-
Sets the value of the isScorable property.
- setIsScorable(Boolean) - Method in class weka.core.pmml.jaxbbindings.TextModel
-
Sets the value of the isScorable property.
- setIsScorable(Boolean) - Method in class weka.core.pmml.jaxbbindings.TimeSeriesModel
-
Sets the value of the isScorable property.
- setIsScorable(Boolean) - Method in class weka.core.pmml.jaxbbindings.TreeModel
-
Sets the value of the isScorable property.
- setIsTransformed(Boolean) - Method in class weka.core.pmml.jaxbbindings.TrainingInstances
-
Sets the value of the isTransformed property.
- setItem(int[]) - Method in class weka.associations.ItemSet
-
Sets an item sets
- setItemAt(int, int) - Method in class weka.associations.ItemSet
-
Sets the index of an attribute value
- setItemRef(String) - Method in class weka.core.pmml.jaxbbindings.ItemRef
-
Sets the value of the itemRef property.
- setIterativeClassifier(IterativeClassifier) - Method in class weka.classifiers.meta.IterativeClassifierOptimizer
-
Set the base learner.
- setJaccard(Jaccard) - Method in class weka.core.pmml.jaxbbindings.ComparisonMeasure
-
Sets the value of the jaccard property.
- setJitter(int) - Method in class weka.gui.visualize.Plot2D
-
Set level of jitter and repaint the plot using the new jitter value
- setKeepDictionarySorted(boolean) - Method in class weka.core.converters.DictionarySaver
-
Set whether to keep the dictionary sorted alphabetically or not
- setKernel(Kernel) - Method in class weka.classifiers.functions.GaussianProcesses
-
Sets the kernel to use.
- setKernel(Kernel) - Method in class weka.classifiers.functions.SMO.BinarySMO
-
sets the kernel to use
- setKernel(Kernel) - Method in class weka.classifiers.functions.SMO
-
sets the kernel to use
- setKernel(Kernel) - Method in class weka.classifiers.functions.SMOreg
-
sets the kernel to use
- setKernel(Kernel) - Method in class weka.classifiers.functions.supportVector.CheckKernel
-
Set the lernel to test.
- setKernel(Kernel) - Method in class weka.filters.unsupervised.attribute.KernelFilter
-
Sets the kernel to use.
- setKernelBandwidth(int) - Method in class weka.gui.boundaryvisualizer.KDDataGenerator
-
Set the kernel bandwidth (number of nearest neighbours to cover)
- setKernelBandwidth(String) - Method in class weka.knowledgeflow.steps.BoundaryPlotter
-
Set the kernel bandwidth
- setKernelFactorExpression(String) - Method in class weka.filters.unsupervised.attribute.KernelFilter
-
Sets the expression for the kernel.
- setKernelMatrixFile(File) - Method in class weka.classifiers.functions.supportVector.PrecomputedKernelMatrixKernel
-
Sets the file holding the kernel matrix
- setKey(String) - Method in class weka.core.Settings.SettingKey
-
set the key of this setting
- setKeyFieldName(String) - Method in class weka.experiment.AveragingResultProducer
-
Set the value of KeyFieldName.
- setKeys(String) - Method in class weka.core.converters.DatabaseLoader
-
Sets the key columns of a database table
- setKeySpec(String) - Method in class weka.gui.beans.Join
-
Set the key specification (in internal format -
k11,k12,...,k1nKEY_SPEC_SEPARATORk21,k22,...,k2n)
- setKeySpec(String) - Method in class weka.knowledgeflow.steps.Join
-
Set the key specification (in internal format -
k11,k12,...,k1nKEY_SPEC_SEPARATORk21,k22,...,k2n)
- setKeywords(String) - Method in class weka.experiment.DatabaseUtils
-
Sets the keywords (comma-separated list) to use.
- setKeywordsMaskChar(String) - Method in class weka.experiment.DatabaseUtils
-
Sets the mask character to append to table or attribute names that are a
reserved keyword.
- setKind(String) - Method in class weka.core.pmml.jaxbbindings.ComparisonMeasure
-
Sets the value of the kind property.
- setKind(String) - Method in class weka.core.pmml.jaxbbindings.Matrix
-
Sets the value of the kind property.
- setKNN(int) - Method in class weka.classifiers.lazy.IBk
-
Set the number of neighbours the learner is to use.
- setKNN(int) - Method in class weka.classifiers.lazy.LWL
-
Sets the number of neighbours used for kernel bandwidth setting.
- setKohonenMap(KohonenMap) - Method in class weka.core.pmml.jaxbbindings.Cluster
-
Sets the value of the kohonenMap property.
- setKValue(int) - Method in class weka.classifiers.trees.RandomTree
-
Set the value of K.
- setLabel(String) - Method in class weka.core.pmml.jaxbbindings.BaselineStratum
-
Sets the value of the label property.
- setLabel(String) - Method in class weka.core.pmml.jaxbbindings.Parameter
-
Sets the value of the label property.
- setLabel(String) - Method in class weka.filters.unsupervised.attribute.MergeManyValues
-
Sets label of the merged class.
- setLabel(String) - Method in class weka.gui.beans.BatchClassifierEvent
-
Set the label for this event.
- setLabel(String) - Method in class weka.gui.beans.EnvironmentField
-
Deprecated.
Set the label for this widget.
- setLabel(String) - Method in class weka.gui.beans.SubstringLabelerRules.SubstringLabelerMatchRule
-
Set the label to assign if this rule matches, or empty string if binary
flag attribute is being created.
- setLabel(String) - Method in class weka.gui.EnvironmentField
-
Set the label for this widget.
- setLabel(String) - Method in class weka.gui.PasswordField
-
Set the label for this widget.
- setLabels(String) - Method in class weka.filters.unsupervised.attribute.AddValues
-
Sets the comma-separated list of labels.
- setLambda(double) - Method in class weka.classifiers.functions.SGD
-
Set the value of lambda to use
- setLambda(double) - Method in class weka.classifiers.functions.SGDText
-
Set the value of lambda to use
- setLambda(double) - Method in class weka.classifiers.functions.supportVector.StringKernel
-
Sets the lambda constant used in the string kernel
- setLaunchStartPointsSequentially(boolean) - Method in class weka.knowledgeflow.FlowRunner
-
Set whether to launch start points sequentially
- setLeafPredictionStrategy(SelectedTag) - Method in class weka.classifiers.trees.HoeffdingTree
-
Set the leaf prediction strategy to use (majority class, naive Bayes or
naive Bayes adaptive)
- setLearningRate(double) - Method in class weka.classifiers.functions.MultilayerPerceptron
-
The learning rate can be set using this command.
- setLearningRate(double) - Method in class weka.classifiers.functions.SGD
-
Set the learning rate.
- setLearningRate(double) - Method in class weka.classifiers.functions.SGDText
-
Set the learning rate.
- setLeaveOneAttributeOut(boolean) - Method in class weka.attributeSelection.ClassifierAttributeEval
-
Set whether to evaluate the merit of an attribute based on the impact of
leaving it out from the full set instead of considering its worth in
isolation
- setLeftMargin(Double) - Method in class weka.core.pmml.jaxbbindings.Interval
-
Sets the value of the leftMargin property.
- setLegend(List<String>, double, double) - Method in class weka.gui.knowledgeflow.steps.StripChartInteractiveView
-
Set the entries for the legend
- setLegend(List<String>, double, double) - Method in interface weka.knowledgeflow.steps.StripChart.PlotNotificationListener
-
- setLegendText(Vector<String>) - Method in class weka.gui.beans.ChartEvent
-
Set the legend text vector
- setLength(BigInteger) - Method in class weka.core.pmml.jaxbbindings.TextDocument
-
Sets the value of the length property.
- setLength(BigInteger) - Method in class weka.core.pmml.jaxbbindings.TimeCycle
-
Sets the value of the length property.
- setLengthLimit(BigInteger) - Method in class weka.core.pmml.jaxbbindings.AssociationModel
-
Sets the value of the lengthLimit property.
- setLevel(Level) - Method in class weka.core.pmml.jaxbbindings.ExponentialSmoothing
-
Sets the value of the level property.
- setLeverage(Float) - Method in class weka.core.pmml.jaxbbindings.AssociationRule
-
Sets the value of the leverage property.
- setLHSAttName(String) - Method in class weka.knowledgeflow.steps.FlowByExpression.ExpressionClause
-
Set the lhs attribute name
- setLift(Float) - Method in class weka.core.pmml.jaxbbindings.AssociationRule
-
Sets the value of the lift property.
- setLift(Double) - Method in class weka.core.pmml.jaxbbindings.SequenceRule
-
Sets the value of the lift property.
- setLiftData(LiftData) - Method in class weka.core.pmml.jaxbbindings.PredictiveModelQuality
-
Sets the value of the liftData property.
- setLiftGraph(LiftGraph) - Method in class weka.core.pmml.jaxbbindings.ModelLiftGraph
-
Sets the value of the liftGraph property.
- setLiftGraph(LiftGraph) - Method in class weka.core.pmml.jaxbbindings.OptimumLiftGraph
-
Sets the value of the liftGraph property.
- setLiftGraph(LiftGraph) - Method in class weka.core.pmml.jaxbbindings.RandomLiftGraph
-
Sets the value of the liftGraph property.
- setLikelihoodThreshold(double) - Method in class weka.classifiers.meta.LogitBoost
-
Set the value of Precision.
- setLinkFunction(LINKFUNCTION) - Method in class weka.core.pmml.jaxbbindings.GeneralRegressionModel
-
Sets the value of the linkFunction property.
- setLinkParameter(Double) - Method in class weka.core.pmml.jaxbbindings.GeneralRegressionModel
-
Sets the value of the linkParameter property.
- setLinkType(SelectedTag) - Method in class weka.clusterers.HierarchicalClusterer
-
- setListData(Object[]) - Method in class weka.gui.CheckBoxList
-
Constructs a CheckBoxListModel from an array of objects and then applies
setModel to it.
- setListData(Vector) - Method in class weka.gui.CheckBoxList
-
Constructs a CheckBoxListModel from a Vector and then applies setModel to
it.
- setLNorm(double) - Method in class weka.classifiers.bayes.NaiveBayesMultinomialText
-
Set the L-norm to used
- setLNorm(double) - Method in class weka.classifiers.functions.SGDText
-
Set the L-norm to used
- setLoadClassifierFileName(String) - Method in class weka.gui.beans.Classifier
-
Set the name of the classifier to load at execution time.
- setLoadClassifierFileName(File) - Method in class weka.knowledgeflow.steps.Classifier
-
Set the name of the classifier to load at execution time.
- setLoadClustererFileName(File) - Method in class weka.knowledgeflow.steps.Clusterer
-
Set the name of the clusterer to load at execution time.
- setLoaded(boolean) - Method in class weka.gui.AbstractPerspective
-
Set whether this perspective is "loaded" - i.e.
- setLoaded(boolean) - Method in class weka.gui.beans.AttributeSummarizer
-
Set whether this perspective is "loaded" - i.e.
- setLoaded(boolean) - Method in interface weka.gui.beans.KnowledgeFlowApp.KFPerspective
-
Set whether this perspective is "loaded" - i.e.
- setLoaded(boolean) - Method in class weka.gui.beans.KnowledgeFlowApp.MainKFPerspective
-
- setLoaded(boolean) - Method in class weka.gui.beans.ScatterPlotMatrix
-
Set whether this perspective is "loaded" - i.e.
- setLoaded(boolean) - Method in class weka.gui.beans.SQLViewerPerspective
-
Set whether this perspective is "loaded" - i.e.
- setLoaded(boolean) - Method in interface weka.gui.Perspective
-
Set whether this perspective is "loaded" - i.e.
- setLoaded(boolean) - Method in class weka.gui.SimpleCLIPanel
-
- setLoader(Loader) - Method in class weka.gui.beans.Loader
-
Set the loader to use
- setLoader(Loader) - Method in class weka.knowledgeflow.steps.Loader
-
Convenience method - calls setWrappedAlgorithm()
- setLocallyPredictive(boolean) - Method in class weka.attributeSelection.CfsSubsetEval
-
Include locally predictive attributes
- setLocalTermWeights(String) - Method in class weka.core.pmml.jaxbbindings.TextModelNormalization
-
Sets the value of the localTermWeights property.
- setLocalTransformations(LocalTransformations) - Method in class weka.core.pmml.jaxbbindings.DecisionTree
-
Sets the value of the localTransformations property.
- setLocalTransformations(LocalTransformations) - Method in class weka.core.pmml.jaxbbindings.Regression
-
Sets the value of the localTransformations property.
- setLocationProbs(int, double[]) - Method in class weka.gui.boundaryvisualizer.RemoteResult
-
Store the classifier's distribution for a particular pixel in the
visualization
- setLog(Logger) - Method in class weka.classifiers.pmml.consumer.PMMLClassifier
-
Set a logger to use.
- setLog(Debug.Log) - Method in class weka.core.Debug.Random
-
the log to use, if it is null then stdout is used
- setLog(Logger) - Method in interface weka.core.LogHandler
-
Set the log to use
- setLog(Logger) - Method in interface weka.core.pmml.PMMLModel
-
Set a logger to use.
- setLog(Logger) - Method in class weka.gui.AbstractPerspective
-
Set a log to use (if required by the perspective)
- setLog(Logger) - Method in class weka.gui.beans.AbstractDataSink
-
Set a log for this bean
- setLog(Logger) - Method in class weka.gui.beans.AbstractEvaluator
-
Set a logger
- setLog(Logger) - Method in class weka.gui.beans.AbstractTestSetProducer
-
Set a logger
- setLog(Logger) - Method in class weka.gui.beans.AbstractTrainAndTestSetProducer
-
Set a log for this bean
- setLog(Logger) - Method in class weka.gui.beans.AbstractTrainingSetProducer
-
Set a logger
- setLog(Logger) - Method in class weka.gui.beans.Appender
-
Set a logger
- setLog(Logger) - Method in class weka.gui.beans.Associator
-
Set a logger
- setLog(Logger) - Method in interface weka.gui.beans.BeanCommon
-
Set a logger
- setLog(Logger) - Method in class weka.gui.beans.ClassAssigner
-
- setLog(Logger) - Method in class weka.gui.beans.Classifier
-
Set a logger
- setLog(Logger) - Method in class weka.gui.beans.ClassValuePicker
-
- setLog(Logger) - Method in class weka.gui.beans.Clusterer
-
Set a logger
- setLog(Logger) - Method in class weka.gui.beans.CostBenefitAnalysis
-
Set a logger
- setLog(Logger) - Method in class weka.gui.beans.DataVisualizer
-
Set a logger
- setLog(Logger) - Method in class weka.gui.beans.Filter
-
Set a logger
- setLog(Logger) - Method in class weka.gui.beans.FlowByExpression
-
- setLog(Logger) - Method in class weka.gui.beans.FlowRunner
-
- setLog(Logger) - Method in class weka.gui.beans.ImageSaver
-
- setLog(Logger) - Method in class weka.gui.beans.ImageViewer
-
- setLog(Logger) - Method in class weka.gui.beans.InstanceStreamToBatchMaker
-
Set a logger
- setLog(Logger) - Method in class weka.gui.beans.Join
-
Set a log to use
- setLog(Logger) - Method in class weka.gui.beans.Loader
-
Set a logger
- setLog(Logger) - Method in interface weka.gui.beans.LogWriter
-
Set a logger
- setLog(Logger) - Method in class weka.gui.beans.MetaBean
-
Set a logger
- setLog(Logger) - Method in class weka.gui.beans.ModelPerformanceChart
-
Set a logger
- setLog(Logger) - Method in class weka.gui.beans.PredictionAppender
-
Set a logger
- setLog(Logger) - Method in class weka.gui.beans.SerializedModelSaver
-
Set a log for this bean.
- setLog(Logger) - Method in class weka.gui.beans.Sorter
-
Set a logger
- setLog(Logger) - Method in class weka.gui.beans.StripChart
-
Set a logger
- setLog(Logger) - Method in class weka.gui.beans.SubstringLabeler
-
Set a logger
- setLog(Logger) - Method in class weka.gui.beans.SubstringReplacer
-
Set a logger
- setLog(Logger) - Method in class weka.gui.beans.TextSaver
-
- setLog(Logger) - Method in class weka.gui.beans.TextViewer
-
Set a logger
- setLog(Logger) - Method in class weka.gui.explorer.AssociationsPanel
-
Sets the Logger to receive informational messages
- setLog(Logger) - Method in class weka.gui.explorer.AttributeSelectionPanel
-
Sets the Logger to receive informational messages
- setLog(Logger) - Method in class weka.gui.explorer.ClassifierPanel
-
Sets the Logger to receive informational messages.
- setLog(Logger) - Method in class weka.gui.explorer.ClustererPanel
-
Sets the Logger to receive informational messages
- setLog(Logger) - Method in class weka.gui.explorer.DataGeneratorPanel
-
Sets the Logger to receive informational messages
- setLog(Logger) - Method in interface weka.gui.explorer.Explorer.LogHandler
-
Sets the Logger to receive informational messages
- setLog(Logger) - Method in class weka.gui.explorer.PreprocessPanel
-
Sets the Logger to receive informational messages
- setLog(Logger) - Method in interface weka.gui.Perspective
-
Set a log to use (if required by the perspective)
- setLog(Logger) - Method in class weka.gui.SimpleCLIPanel
-
- setLog(Logger) - Method in class weka.gui.visualize.VisualizePanel
-
Sets the Logger to receive informational messages
- setLog(Logger) - Method in class weka.knowledgeflow.BaseExecutionEnvironment
-
Set the log to use
- setLog(Logger) - Method in interface weka.knowledgeflow.ExecutionEnvironment
-
Set the log to use
- setLog(Logger) - Method in interface weka.knowledgeflow.FlowLoader
-
Set a log to use
- setLog(Logger) - Method in class weka.knowledgeflow.JSONFlowLoader
-
Set a log to use
- setLog(Logger) - Method in class weka.knowledgeflow.LegacyFlowLoader
-
Set the log to use
- setLog(Logger) - Method in class weka.knowledgeflow.LogManager
-
Set the log wrap
- setLog(Logger) - Method in class weka.knowledgeflow.StepManagerImpl
-
Set the log to use
- setLogger(Logger) - Method in interface weka.knowledgeflow.FlowExecutor
-
Set a log to use
- setLogger(Logger) - Method in class weka.knowledgeflow.FlowRunner
-
Set the log to use
- setLoggingFontSize(int) - Method in class weka.gui.beans.LogPanel
-
Set the size of the font used in the log message area.
- setLoggingFontSize(int) - Method in class weka.gui.LogPanel
-
Set the size of the font used in the log message area.
- setLoggingLevel(LoggingLevel) - Method in class weka.knowledgeflow.BaseExecutionEnvironment
-
Set the logging level to use
- setLoggingLevel(LoggingLevel) - Method in interface weka.knowledgeflow.ExecutionEnvironment
-
Set the logging level to use
- setLoggingLevel(LoggingLevel) - Method in interface weka.knowledgeflow.FlowExecutor
-
Set the level to log at
- setLoggingLevel(LoggingLevel) - Method in class weka.knowledgeflow.FlowRunner
-
Set the logging level to use
- setLoggingLevel(LoggingLevel) - Method in class weka.knowledgeflow.LogManager
-
Set the logging level to use
- setLoggingLevel(LoggingLevel) - Method in class weka.knowledgeflow.StepManagerImpl
-
Set the logging level to use
- setLoggingLevel(LoggingLevel) - Method in class weka.knowledgeflow.steps.WriteWekaLog
-
Set the logging level to use
- setLogLossDecoding(boolean) - Method in class weka.classifiers.meta.MultiClassClassifier
-
Sets whether log loss decoding is used for random or exhaustive codes.
- setLookAheadIterations(int) - Method in class weka.classifiers.meta.IterativeClassifierOptimizer
-
Set the value of LookAheadIterations.
- setLookAndFeel(String) - Static method in class weka.gui.LookAndFeel
-
sets the look and feel to the specified class
- setLookAndFeel(String, String, String) - Static method in class weka.gui.LookAndFeel
-
Set the look and feel from loaded settings
- setLookAndFeel() - Static method in class weka.gui.LookAndFeel
-
sets the look and feel to the one in the props-file or if not set the
default one of the system
- setLookupCacheSize(int) - Method in class weka.attributeSelection.BestFirst
-
Set the maximum size of the evaluated subset cache (hashtable).
- setLossFunction(SelectedTag) - Method in class weka.classifiers.functions.SGD
-
Set the loss function to use.
- setLossFunction(SelectedTag) - Method in class weka.classifiers.functions.SGDText
-
Set the loss function to use.
- setLower(double) - Method in class weka.core.pmml.jaxbbindings.UniformDistribution
-
Sets the value of the lower property.
- setLowerBoundMinSupport(double) - Method in class weka.associations.Apriori
-
Set the value of lowerBoundMinSupport.
- setLowerBoundMinSupport(double) - Method in class weka.associations.FPGrowth
-
Set the value of lowerBoundMinSupport.
- setLowercaseTokens(boolean) - Method in class weka.classifiers.bayes.NaiveBayesMultinomialText
-
Set whether to convert all tokens to lowercase
- setLowercaseTokens(boolean) - Method in class weka.classifiers.functions.SGDText
-
Set whether to convert all tokens to lowercase
- setLowerCaseTokens(boolean) - Method in class weka.core.converters.DictionarySaver
-
Sets whether if the tokens are to be downcased or not.
- setLowerCaseTokens(boolean) - Method in class weka.core.DictionaryBuilder
-
Sets whether if the tokens are to be downcased or not.
- setLowerCaseTokens(boolean) - Method in class weka.filters.unsupervised.attribute.FixedDictionaryStringToWordVector
-
Sets whether if the tokens are to be downcased or not.
- setLowerCaseTokens(boolean) - Method in class weka.filters.unsupervised.attribute.StringToWordVector
-
Sets whether if the tokens are to be downcased or not.
- setLowerSize(int) - Method in class weka.experiment.LearningRateResultProducer
-
Set the value of LowerSize.
- setLowValue(Double) - Method in class weka.core.pmml.jaxbbindings.MiningField
-
Sets the value of the lowValue property.
- setMacros(MacroDeclarations) - Method in class weka.core.expressionlanguage.parser.Parser
-
Sets the macro declarations for the program
- setMainApplication(GUIApplication) - Method in class weka.gui.AbstractPerspective
-
Set the main application.
- setMainApplication(GUIApplication) - Method in class weka.gui.knowledgeflow.SQLViewerPerspective
-
Set the main application.
- setMainApplication(GUIApplication) - Method in interface weka.gui.Perspective
-
Set the main application.
- setMainApplication(GUIApplication) - Method in class weka.gui.SimpleCLIPanel
-
- setMainApplicationForAllPerspectives() - Method in class weka.gui.PerspectiveManager
-
Set the main application on all perspectives managed by this manager
- setMainKFPerspective(KnowledgeFlowApp.MainKFPerspective) - Method in class weka.gui.beans.AttributeSummarizer
-
Set a reference to the main KnowledgeFlow perspective - i.e.
- setMainKFPerspective(KnowledgeFlowApp.MainKFPerspective) - Method in interface weka.gui.beans.KnowledgeFlowApp.KFPerspective
-
Set a reference to the main KnowledgeFlow perspective - i.e.
- setMainKFPerspective(KnowledgeFlowApp.MainKFPerspective) - Method in class weka.gui.beans.KnowledgeFlowApp.MainKFPerspective
-
- setMainKFPerspective(KnowledgeFlowApp.MainKFPerspective) - Method in class weka.gui.beans.ScatterPlotMatrix
-
Set a reference to the main KnowledgeFlow perspective - i.e.
- setMainKFPerspective(KnowledgeFlowApp.MainKFPerspective) - Method in class weka.gui.beans.SQLViewerPerspective
-
Set a reference to the main KnowledgeFlow perspective - i.e.
- setMainKFPerspective(MainKFPerspective) - Method in class weka.gui.knowledgeflow.BaseInteractiveViewer
-
Set the main knowledge flow perspective.
- setMainKFPerspective(MainKFPerspective) - Method in interface weka.gui.knowledgeflow.StepInteractiveViewer
-
Set the main knowledge flow perspective.
- setMakeBinary(boolean) - Method in class weka.filters.supervised.attribute.Discretize
-
Sets whether binary attributes should be made for discretized ones.
- setMakeBinary(boolean) - Method in class weka.filters.unsupervised.attribute.Discretize
-
Sets whether binary attributes should be made for discretized ones.
- setMakeResourceIntensive(boolean) - Method in class weka.knowledgeflow.steps.MakeResourceIntensive
-
Set whether downstream steps are to be made resource intensive or not
- setManagedStep(Step) - Method in class weka.knowledgeflow.StepManagerImpl
-
Set the step managed by this manager
- setMapMissingTo(String) - Method in class weka.core.pmml.jaxbbindings.Apply
-
Sets the value of the mapMissingTo property.
- setMapMissingTo(String) - Method in class weka.core.pmml.jaxbbindings.Discretize
-
Sets the value of the mapMissingTo property.
- setMapMissingTo(String) - Method in class weka.core.pmml.jaxbbindings.FieldRef
-
Sets the value of the mapMissingTo property.
- setMapMissingTo(String) - Method in class weka.core.pmml.jaxbbindings.MapValues
-
Sets the value of the mapMissingTo property.
- setMapMissingTo(Double) - Method in class weka.core.pmml.jaxbbindings.NormContinuous
-
Sets the value of the mapMissingTo property.
- setMapMissingTo(Double) - Method in class weka.core.pmml.jaxbbindings.NormDiscrete
-
Sets the value of the mapMissingTo property.
- setMappedValue(String) - Method in class weka.core.pmml.jaxbbindings.Item
-
Sets the value of the mappedValue property.
- setMapValues(MapValues) - Method in class weka.core.pmml.jaxbbindings.DefineFunction
-
Sets the value of the mapValues property.
- setMapValues(MapValues) - Method in class weka.core.pmml.jaxbbindings.DerivedField
-
Sets the value of the mapValues property.
- setMapValues(MapValues) - Method in class weka.core.pmml.jaxbbindings.OutputField
-
Sets the value of the mapValues property.
- setMargin(int, double[]) - Method in class weka.classifiers.bayes.net.EditableBayesNet
-
set marginal distibution for a node
- setMarkovBlanketClassifier(boolean) - Method in class weka.classifiers.bayes.net.search.global.GlobalScoreSearchAlgorithm
-
- setMarkovBlanketClassifier(boolean) - Method in class weka.classifiers.bayes.net.search.local.LocalScoreSearchAlgorithm
-
- setMasterPlot(PlotData2D) - Method in class weka.gui.visualize.Plot2D
-
Set the master plot.
- setMasterPlot(PlotData2D) - Method in class weka.gui.visualize.VisualizePanel
-
Set the master plot for the visualize panel
- setMatch(String) - Method in class weka.gui.beans.SubstringLabelerRules.SubstringLabelerMatchRule
-
Set the string/regex to use for matching
- setMatch(String) - Method in class weka.gui.beans.SubstringReplacerRules.SubstringReplacerMatchRule
-
Set the string/regex to use for matching
- setMatchAttributeName(String) - Method in class weka.gui.beans.SubstringLabeler
-
- setMatchAttributeName(String) - Method in class weka.knowledgeflow.steps.SubstringLabeler
-
Set the name of the new attribute that is created to indicate the match
- setMatchDetails(String) - Method in class weka.gui.beans.SubstringLabeler
-
Set internally encoded list of match rules
- setMatchDetails(String) - Method in class weka.knowledgeflow.steps.SubstringLabeler
-
Set internally encoded list of match rules
- setMatchMissingValues(boolean) - Method in class weka.filters.unsupervised.instance.RemoveWithValues
-
Sets whether missing values are counted as a match.
- setMatchReplaceDetails(String) - Method in class weka.gui.beans.SubstringReplacer
-
Set internally encoded list of match-replace rules
- setMatchReplaceDetails(String) - Method in class weka.knowledgeflow.steps.SubstringReplacer
-
Set internally encoded list of match-replace rules
- setMatrix(int, int, int, int, Matrix) - Method in class weka.core.matrix.Matrix
-
Set a submatrix.
- setMatrix(int[], int[], Matrix) - Method in class weka.core.matrix.Matrix
-
Set a submatrix.
- setMatrix(int[], int, int, Matrix) - Method in class weka.core.matrix.Matrix
-
Set a submatrix.
- setMatrix(int, int, int[], Matrix) - Method in class weka.core.matrix.Matrix
-
Set a submatrix.
- setMatrix(Matrix) - Method in class weka.core.pmml.jaxbbindings.Comparisons
-
Sets the value of the matrix property.
- setMatrix(Matrix) - Method in class weka.core.pmml.jaxbbindings.ConfusionMatrix
-
Sets the value of the matrix property.
- setMatrix(Matrix) - Method in class weka.core.pmml.jaxbbindings.CorrelationMethods
-
Sets the value of the matrix property.
- setMatrix(Matrix) - Method in class weka.core.pmml.jaxbbindings.CorrelationValues
-
Sets the value of the matrix property.
- setMatrix(Matrix) - Method in class weka.core.pmml.jaxbbindings.Covariances
-
Sets the value of the matrix property.
- setMatrix(Matrix) - Method in class weka.core.pmml.jaxbbindings.DocumentTermMatrix
-
Sets the value of the matrix property.
- setMatrix(Matrix) - Method in class weka.core.pmml.jaxbbindings.Predictor
-
Sets the value of the matrix property.
- setMax(Double) - Method in class weka.core.pmml.jaxbbindings.Target
-
Sets the value of the max property.
- setMax(Double) - Method in class weka.core.pmml.jaxbbindings.Time
-
Sets the value of the max property.
- setMax(double) - Method in class weka.gui.beans.ChartEvent
-
Set the max y value
- setMaxBoostingIterations(int) - Method in class weka.classifiers.functions.SimpleLogistic
-
Set the value of maxBoostingIterations.
- setMaxCardinality(int) - Method in class weka.classifiers.bayes.net.search.ci.ICSSearchAlgorithm
-
sets the cardinality
- setMaxCount(double) - Method in class weka.filters.supervised.instance.SpreadSubsample
-
Sets the value for the max count
- setMaxDecimalPlaces(int) - Method in class weka.core.converters.ArffSaver
-
Set the maximum number of decimal places to print
- setMaxDecimalPlaces(int) - Method in class weka.core.converters.CSVSaver
-
Set the maximum number of decimal places to print
- setMaxDefault(double) - Method in class weka.filters.unsupervised.attribute.NumericCleaner
-
Set the naximum default.
- setMaxDepth(int) - Method in class weka.classifiers.trees.RandomForest
-
Set the maximum depth of the tree, 0 for unlimited.
- setMaxDepth(int) - Method in class weka.classifiers.trees.RandomTree
-
Set the maximum depth of the tree, 0 for unlimited.
- setMaxDepth(int) - Method in class weka.classifiers.trees.REPTree
-
Set the value of MaxDepth.
- setMaximum(Double) - Method in class weka.core.pmml.jaxbbindings.ComparisonMeasure
-
Sets the value of the maximum property.
- setMaximum(Double) - Method in class weka.core.pmml.jaxbbindings.NumericInfo
-
Sets the value of the maximum property.
- setMaximumAntConsSeparationTime(Double) - Method in class weka.core.pmml.jaxbbindings.Constraints
-
Sets the value of the maximumAntConsSeparationTime property.
- setMaximumAttributeNames(int) - Method in class weka.attributeSelection.PrincipalComponents
-
Sets maximum number of attributes to include in transformed attribute
names.
- setMaximumAttributeNames(int) - Method in class weka.filters.unsupervised.attribute.PrincipalComponents
-
Sets maximum number of attributes to include in transformed attribute
names.
- setMaximumAttributes(int) - Method in class weka.filters.unsupervised.attribute.PrincipalComponents
-
Sets maximum number of PC attributes to retain.
- setMaximumItemsetSeparationTime(Double) - Method in class weka.core.pmml.jaxbbindings.Constraints
-
Sets the value of the maximumItemsetSeparationTime property.
- setMaximumNumberOfAntecedentItems(BigInteger) - Method in class weka.core.pmml.jaxbbindings.Constraints
-
Sets the value of the maximumNumberOfAntecedentItems property.
- setMaximumNumberOfClusters(int) - Method in class weka.clusterers.EM
-
Set the maximum number of clusters to consider when cross-validating
- setMaximumNumberOfConsequentItems(BigInteger) - Method in class weka.core.pmml.jaxbbindings.Constraints
-
Sets the value of the maximumNumberOfConsequentItems property.
- setMaximumNumberOfItems(BigInteger) - Method in class weka.core.pmml.jaxbbindings.Constraints
-
Sets the value of the maximumNumberOfItems property.
- setMaximumTotalSequenceTime(Double) - Method in class weka.core.pmml.jaxbbindings.Constraints
-
Sets the value of the maximumTotalSequenceTime property.
- setMaximumVariancePercentageAllowed(double) - Method in class weka.filters.unsupervised.attribute.RemoveUseless
-
Sets the maximum variance attributes are allowed to have before they are
deleted by the filter.
- setMaxInstancesInLeaf(int) - Method in class weka.core.neighboursearch.balltrees.BallTreeConstructor
-
Sets the maximum number of instances allowed in a leaf.
- setMaxInstancesInLeaf(int) - Method in class weka.core.neighboursearch.balltrees.MiddleOutConstructor
-
Sets the maximum number of instances allowed in a leaf.
- setMaxInstInLeaf(int) - Method in class weka.core.neighboursearch.KDTree
-
Sets the maximum number of instances in a leaf.
- setMaxInstNum(int) - Method in class weka.datagenerators.clusterers.BIRCHCluster
-
Sets the upper boundary for instances per cluster.
- setMaxInstNum(int) - Method in class weka.datagenerators.clusterers.SubspaceClusterDefinition
-
Sets the upper boundary for instances per cluster.
- setMaxIteration(int) - Method in class weka.core.Optimization
-
Set the maximal number of iterations in searching (Default 200)
- setMaxIterations(int) - Method in class weka.classifiers.trees.lmt.LogisticBase
-
Sets the parameter "maxIterations".
- setMaxIterations(int) - Method in class weka.clusterers.EM
-
Set the maximum number of iterations to perform
- setMaxIterations(int) - Method in class weka.clusterers.SimpleKMeans
-
set the maximum number of iterations to be executed.
- setMaxIterations(int) - Method in class weka.filters.unsupervised.instance.RemoveMisclassified
-
Sets the maximum number of cleansing iterations to perform - < 1 means
go until fully cleansed
- setMaxIts(int) - Method in class weka.classifiers.functions.Logistic
-
Set the value of MaxIts.
- setMaxK(int) - Method in class weka.classifiers.functions.VotedPerceptron
-
Set the value of maxK.
- setMaxNrOfParents(int) - Method in class weka.classifiers.bayes.net.search.global.HillClimber
-
Sets the max number of parents
- setMaxNrOfParents(int) - Method in class weka.classifiers.bayes.net.search.global.K2
-
Sets the max number of parents
- setMaxNrOfParents(int) - Method in class weka.classifiers.bayes.net.search.local.HillClimber
-
Sets the max number of parents
- setMaxNrOfParents(int) - Method in class weka.classifiers.bayes.net.search.local.K2
-
Sets the max number of parents
- setMaxNrOfParents(int) - Method in class weka.classifiers.bayes.net.search.local.LAGDHillClimber
-
Sets the max number of parents
- setMaxNumberOfItems(int) - Method in class weka.associations.FPGrowth
-
Set the maximum number of items to include in large items sets.
- setMaxNumberOfItemsPerTA(BigInteger) - Method in class weka.core.pmml.jaxbbindings.AssociationModel
-
Sets the value of the maxNumberOfItemsPerTA property.
- setMaxNumberOfItemsPerTransaction(BigInteger) - Method in class weka.core.pmml.jaxbbindings.SequenceModel
-
Sets the value of the maxNumberOfItemsPerTransaction property.
- setMaxNumberOfTAsPerTAGroup(BigInteger) - Method in class weka.core.pmml.jaxbbindings.SequenceModel
-
Sets the value of the maxNumberOfTAsPerTAGroup property.
- setMaxNumCandidateCanopiesToHoldInMemory(int) - Method in class weka.clusterers.Canopy
-
Set the maximum number of candidate canopies to retain in memory during
training.
- setMaxNumComponents(int) - Method in class weka.estimators.UnivariateMixtureEstimator
-
Sets the number of components to use.
- setMaxPlots(int) - Method in class weka.gui.beans.AttributeSummarizer
-
Set the maximum number of plots to display
- setMaxRadius(double) - Method in class weka.datagenerators.clusterers.BIRCHCluster
-
Sets the upper boundary for the radiuses of the clusters.
- setMaxRange(double) - Method in class weka.datagenerators.classifiers.regression.MexicanHat
-
Sets the upper boundary for the range of x
- setMaxRelativeLeafRadius(double) - Method in class weka.core.neighboursearch.balltrees.BallTreeConstructor
-
Sets the maximum relative radius, allowed for a leaf node.
- setMaxRows(int) - Method in class weka.gui.sql.QueryPanel
-
sets the maximum number of rows to display.
- setMaxRuleSize(int) - Method in class weka.datagenerators.classifiers.classification.RDG1
-
Sets the maximum number of tests in rules.
- setMaxSubsequenceLength(int) - Method in class weka.classifiers.functions.supportVector.StringKernel
-
Sets the maximum length of the subsequence.
- setMaxThreshold(double) - Method in class weka.filters.unsupervised.attribute.NumericCleaner
-
Set the maximum threshold.
- setMaxTime(Double) - Method in class weka.core.pmml.jaxbbindings.BaseCumHazardTables
-
Sets the value of the maxTime property.
- setMaxTime(double) - Method in class weka.core.pmml.jaxbbindings.BaselineStratum
-
Sets the value of the maxTime property.
- setMDLTheoryWeight(double) - Method in class weka.classifiers.rules.RuleStats
-
Set the weight of theory in MDL calcualtion
- setMean(double) - Method in class weka.core.pmml.jaxbbindings.AnyDistribution
-
Sets the value of the mean property.
- setMean(double) - Method in class weka.core.pmml.jaxbbindings.GaussianDistribution
-
Sets the value of the mean property.
- setMean(Double) - Method in class weka.core.pmml.jaxbbindings.NumericInfo
-
Sets the value of the mean property.
- setMean(double) - Method in class weka.core.pmml.jaxbbindings.PoissonDistribution
-
Sets the value of the mean property.
- setMean(Double) - Method in class weka.core.pmml.jaxbbindings.Time
-
Sets the value of the mean property.
- setMean(int, int, double) - Method in class weka.experiment.ResultMatrix
-
sets the mean at the given position (if the position is valid).
- setMeanAbsoluteError(Double) - Method in class weka.core.pmml.jaxbbindings.PredictiveModelQuality
-
Sets the value of the meanAbsoluteError property.
- setMeanError(Double) - Method in class weka.core.pmml.jaxbbindings.PredictiveModelQuality
-
Sets the value of the meanError property.
- setMeanOfSquares(Double) - Method in class weka.core.pmml.jaxbbindings.AnovaRow
-
Sets the value of the meanOfSquares property.
- setMeanPrec(int) - Method in class weka.experiment.ResultMatrix
-
sets the precision for the means.
- setMeanSquared(boolean) - Method in class weka.classifiers.lazy.IBk
-
Sets whether the mean squared error is used rather than mean
absolute error when doing cross-validation.
- setMeanSquaredError(Double) - Method in class weka.core.pmml.jaxbbindings.PredictiveModelQuality
-
Sets the value of the meanSquaredError property.
- setMeanWidth(int) - Method in class weka.experiment.ResultMatrix
-
sets the width for the mean (0 = optimal).
- setMeasurePerformance(boolean) - Method in class weka.core.neighboursearch.BallTree
-
Sets whether to calculate the performance statistics or not.
- setMeasurePerformance(boolean) - Method in class weka.core.neighboursearch.KDTree
-
Sets whether to calculate the performance statistics or not.
- setMeasurePerformance(boolean) - Method in class weka.core.neighboursearch.NearestNeighbourSearch
-
Sets whether to calculate the performance statistics or not.
- setMedian(Double) - Method in class weka.core.pmml.jaxbbindings.NumericInfo
-
Sets the value of the median property.
- setMergeValueRange(String) - Method in class weka.filters.unsupervised.attribute.MergeManyValues
-
Sets range of the merge values used.
- setMetaClassifier(Classifier) - Method in class weka.classifiers.meta.Stacking
-
Adds meta classifier
- setMetadata(Map<String, String>) - Method in class weka.core.Settings.SettingKey
-
Set the metadata for this setting
- setMetadataElement(String, String) - Method in class weka.core.Settings.SettingKey
-
Set the value of a piece of metadata for this setting
- setMethod(NeuralMethod) - Method in class weka.classifiers.functions.neural.NeuralNode
-
Set how this node should operate (note that the neural method has no
internal state, so the same object can be used by any number of nodes.
- setMethod(SelectedTag) - Method in class weka.classifiers.meta.MultiClassClassifier
-
Sets the method used.
- setMethod(String) - Method in class weka.core.pmml.jaxbbindings.NormDiscrete
-
Sets the value of the method property.
- setMethodName(String) - Method in class weka.filters.unsupervised.attribute.NumericTransform
-
Set the transformation method.
- setMetricsToDisplay(List<String>) - Method in class weka.classifiers.evaluation.Evaluation
-
Set a list of the names of metrics to have appear in the output.
- setMetricsToDisplay(List<String>) - Method in class weka.classifiers.Evaluation
-
Set a list of the names of metrics to have appear in the output.
- setMetricType(SelectedTag) - Method in class weka.associations.Apriori
-
Set the metric type for ranking rules
- setMetricType(SelectedTag) - Method in class weka.associations.FPGrowth
-
Set the metric type to use.
- setMin(Double) - Method in class weka.core.pmml.jaxbbindings.Target
-
Sets the value of the min property.
- setMin(Double) - Method in class weka.core.pmml.jaxbbindings.Time
-
Sets the value of the min property.
- setMin(double) - Method in class weka.gui.beans.ChartEvent
-
Set the min y value
- setMinAbsoluteCoefficientValue(double) - Method in class weka.classifiers.functions.SGDText
-
Set the minimum absolute magnitude for model coefficients.
- setMinBoxRelWidth(double) - Method in class weka.core.neighboursearch.KDTree
-
Sets the minimum relative box width.
- setMinBucketSize(int) - Method in class weka.classifiers.rules.OneR
-
Set the value of minBucketSize.
- setMinDefault(double) - Method in class weka.filters.unsupervised.attribute.NumericCleaner
-
Set the minimum default.
- setMinimal(boolean) - Method in class weka.classifiers.functions.LinearRegression
-
Sets whether to be more memory conservative or being able to output the
model as string.
- setMinimizeAbsoluteError(boolean) - Method in class weka.classifiers.meta.AdditiveRegression
-
Sets whether absolute error is to be minimized.
- setMinimizeAbsoluteError(boolean) - Method in class weka.classifiers.meta.RegressionByDiscretization
-
Sets whether to min.
- setMinimizeExpectedCost(boolean) - Method in class weka.classifiers.meta.CostSensitiveClassifier
-
Set the value of MinimizeExpectedCost.
- setMinimum(Double) - Method in class weka.core.pmml.jaxbbindings.ComparisonMeasure
-
Sets the value of the minimum property.
- setMinimum(Double) - Method in class weka.core.pmml.jaxbbindings.NumericInfo
-
Sets the value of the minimum property.
- setMinimumAntConsSeparationTime(Double) - Method in class weka.core.pmml.jaxbbindings.Constraints
-
Sets the value of the minimumAntConsSeparationTime property.
- setMinimumBucketSize(int) - Method in class weka.attributeSelection.OneRAttributeEval
-
Set the minumum bucket size used by OneR
- setMinimumCanopyDensity(double) - Method in class weka.clusterers.Canopy
-
Set the minimum T2-based density below which a canopy will be pruned during
periodic pruning.
- setMinimumConfidence(BigDecimal) - Method in class weka.core.pmml.jaxbbindings.AssociationModel
-
Sets the value of the minimumConfidence property.
- setMinimumConfidence(Double) - Method in class weka.core.pmml.jaxbbindings.Constraints
-
Sets the value of the minimumConfidence property.
- setMinimumFractionOfWeightInfoGain(double) - Method in class weka.classifiers.trees.HoeffdingTree
-
Set the minimum fraction of weight required down at least two branches for
info gain splitting
- setMinimumFrequency(int) - Method in class weka.filters.unsupervised.attribute.MergeInfrequentNominalValues
-
Sets the minimum frequency.
- setMinimumItemsetSeparationTime(Double) - Method in class weka.core.pmml.jaxbbindings.Constraints
-
Sets the value of the minimumItemsetSeparationTime property.
- setMinimumLift(Double) - Method in class weka.core.pmml.jaxbbindings.Constraints
-
Sets the value of the minimumLift property.
- setMinimumNumberInstances(int) - Method in class weka.core.Capabilities
-
sets the minimum number of instances that have to be in the dataset
- setMinimumNumberOfAntecedentItems(BigInteger) - Method in class weka.core.pmml.jaxbbindings.Constraints
-
Sets the value of the minimumNumberOfAntecedentItems property.
- setMinimumNumberOfConsequentItems(BigInteger) - Method in class weka.core.pmml.jaxbbindings.Constraints
-
Sets the value of the minimumNumberOfConsequentItems property.
- setMinimumNumberOfItems(BigInteger) - Method in class weka.core.pmml.jaxbbindings.Constraints
-
Sets the value of the minimumNumberOfItems property.
- setMinimumSupport(BigDecimal) - Method in class weka.core.pmml.jaxbbindings.AssociationModel
-
Sets the value of the minimumSupport property.
- setMinimumSupport(Double) - Method in class weka.core.pmml.jaxbbindings.Constraints
-
Sets the value of the minimumSupport property.
- setMinimumTotalSequenceTime(Double) - Method in class weka.core.pmml.jaxbbindings.Constraints
-
Sets the value of the minimumTotalSequenceTime property.
- setMiningBuildTask(MiningBuildTask) - Method in class weka.core.pmml.jaxbbindings.PMML
-
Sets the value of the miningBuildTask property.
- setMiningModel(MiningModel) - Method in class weka.core.pmml.jaxbbindings.Segment
-
Sets the value of the miningModel property.
- setMinInstNum(int) - Method in class weka.datagenerators.clusterers.BIRCHCluster
-
Sets the lower boundary for instances per cluster.
- setMinInstNum(int) - Method in class weka.datagenerators.clusterers.SubspaceClusterDefinition
-
Sets the lower boundary for instances per cluster.
- setMinkowski(Minkowski) - Method in class weka.core.pmml.jaxbbindings.ComparisonMeasure
-
Sets the value of the minkowski property.
- setMinLogLikelihoodImprovementCV(double) - Method in class weka.clusterers.EM
-
Set the minimum improvement in cross-validated log likelihood required to
consider increasing the number of clusters when cross-validating to find
the best number of clusters
- setMinLogLikelihoodImprovementIterating(double) - Method in class weka.clusterers.EM
-
Set the minimum improvement in log likelihood necessary to perform another
iteration of the E and M steps.
- setMinMaxX(double, double) - Method in class weka.gui.boundaryvisualizer.RemoteBoundaryVisualizerSubTask
-
Set the minimum and maximum values of the x axis fixed dimension
- setMinMaxY(double, double) - Method in class weka.gui.boundaryvisualizer.RemoteBoundaryVisualizerSubTask
-
Set the minimum and maximum values of the y axis fixed dimension
- setMinMetric(double) - Method in class weka.associations.Apriori
-
Set the value of minConfidence.
- setMinMetric(double) - Method in class weka.associations.FPGrowth
-
Set the value of minConfidence.
- setMinNo(double) - Method in class weka.classifiers.rules.JRip
-
Sets the minimum total weight of the instances in a rule
- setMinNum(double) - Method in class weka.classifiers.trees.RandomTree
-
Set the value of MinNum.
- setMinNum(double) - Method in class weka.classifiers.trees.REPTree
-
Set the value of MinNum.
- setMinNumInstances(int) - Method in class weka.classifiers.trees.LMT
-
Set the value of minNumInstances.
- setMinNumInstances(double) - Method in class weka.classifiers.trees.m5.M5Base
-
Set the minimum number of instances to allow at a leaf node
- setMinNumInstances(double) - Method in class weka.classifiers.trees.m5.Rule
-
Set the minumum number of instances to allow at a leaf node
- setMinNumInstances(double) - Method in class weka.classifiers.trees.m5.RuleNode
-
Set the minumum number of instances to allow at a leaf node
- setMinNumObj(int) - Method in class weka.classifiers.rules.PART
-
Set the value of minNumObj.
- setMinNumObj(int) - Method in class weka.classifiers.trees.J48
-
Set the value of minNumObj.
- setMinRadius(double) - Method in class weka.datagenerators.clusterers.BIRCHCluster
-
Sets the lower boundary for the radiuses of the clusters.
- setMinRange(double) - Method in class weka.datagenerators.classifiers.regression.MexicanHat
-
Sets the lower boundary for the range of x
- setMinRuleSize(int) - Method in class weka.datagenerators.classifiers.classification.RDG1
-
Sets the minimum number of tests in rules.
- setMinStdDev(double) - Method in class weka.clusterers.EM
-
Set the minimum value for standard deviation when calculating normal
density.
- setMinStdDev(double) - Method in class weka.clusterers.MakeDensityBasedClusterer
-
Set the minimum value for standard deviation when calculating normal
density.
- setMinStdDevPerAtt(double[]) - Method in class weka.clusterers.EM
-
- setMinTermFreq(int) - Method in class weka.core.converters.DictionarySaver
-
Set the MinTermFreq value.
- setMinTermFreq(int) - Method in class weka.core.DictionaryBuilder
-
Set the MinTermFreq value.
- setMinTermFreq(int) - Method in class weka.filters.unsupervised.attribute.StringToWordVector
-
Set the MinTermFreq value.
- setMinThreshold(double) - Method in class weka.filters.unsupervised.attribute.NumericCleaner
-
Set the minimum threshold.
- setMinVarianceProp(double) - Method in class weka.classifiers.trees.RandomTree
-
Set the value of MinVarianceProp.
- setMinVarianceProp(double) - Method in class weka.classifiers.trees.REPTree
-
Set the value of MinVarianceProp.
- setMinWordFrequency(double) - Method in class weka.classifiers.bayes.NaiveBayesMultinomialText
-
Set the minimum word frequency.
- setMinWordFrequency(double) - Method in class weka.classifiers.functions.SGDText
-
Set the minimum word frequency.
- setMissing(int) - Method in class weka.core.AbstractInstance
-
Sets a specific value to be "missing".
- setMissing(Attribute) - Method in class weka.core.AbstractInstance
-
Sets a specific value to be "missing".
- setMissing(int) - Method in interface weka.core.Instance
-
Sets a specific value to be "missing".
- setMissing(Attribute) - Method in interface weka.core.Instance
-
Sets a specific value to be "missing".
- setMissingFreq(Double) - Method in class weka.core.pmml.jaxbbindings.Counts
-
Sets the value of the missingFreq property.
- setMissingMerge(boolean) - Method in class weka.attributeSelection.GainRatioAttributeEval
-
distribute the counts for missing values across observed values
- setMissingMerge(boolean) - Method in class weka.attributeSelection.InfoGainAttributeEval
-
distribute the counts for missing values across observed values
- setMissingMerge(boolean) - Method in class weka.attributeSelection.SymmetricalUncertAttributeEval
-
distribute the counts for missing values across observed values
- setMissingMode(int) - Method in class weka.classifiers.lazy.kstar.KStarNumericAttribute
-
Set the missing value mode.
- setMissingMode(SelectedTag) - Method in class weka.classifiers.lazy.KStar
-
Sets the method to use for handling missing values.
- setMissingSeparate(boolean) - Method in class weka.attributeSelection.CfsSubsetEval
-
Treat missing as a separate value
- setMissingValue(String) - Method in class weka.core.converters.CSVLoader
-
Sets the placeholder for missing values.
- setMissingValue(String) - Method in class weka.core.converters.CSVSaver
-
Sets the placeholder for missing values.
- setMissingValuePenalty(BigDecimal) - Method in class weka.core.pmml.jaxbbindings.DecisionTree
-
Sets the value of the missingValuePenalty property.
- setMissingValuePenalty(BigDecimal) - Method in class weka.core.pmml.jaxbbindings.TreeModel
-
Sets the value of the missingValuePenalty property.
- setMissingValueReplacement(String) - Method in class weka.core.pmml.jaxbbindings.MiningField
-
Sets the value of the missingValueReplacement property.
- setMissingValuesReplacer(Filter) - Method in class weka.clusterers.Canopy
-
Set a ready-to-use missing values replacement filter
- setMissingValueStrategy(MISSINGVALUESTRATEGY) - Method in class weka.core.pmml.jaxbbindings.DecisionTree
-
Sets the value of the missingValueStrategy property.
- setMissingValueStrategy(MISSINGVALUESTRATEGY) - Method in class weka.core.pmml.jaxbbindings.TreeModel
-
Sets the value of the missingValueStrategy property.
- setMissingValueTreatment(MISSINGVALUETREATMENTMETHOD) - Method in class weka.core.pmml.jaxbbindings.MiningField
-
Sets the value of the missingValueTreatment property.
- setModalValue(String) - Method in class weka.core.pmml.jaxbbindings.DiscrStats
-
Sets the value of the modalValue property.
- setModel(Classifier) - Method in class weka.classifiers.misc.SerializedClassifier
-
Sets the fully built model to use, if one doesn't want to load a model from
a file or already deserialized a model from somewhere else.
- setModel(TableModel) - Method in class weka.gui.arffviewer.ArffTable
-
sets the new model
- setModel(ListModel) - Method in class weka.gui.CheckBoxList
-
sets the model - must be an instance of CheckBoxListModel
- setModel(TableModel) - Method in class weka.gui.SortedTableModel
-
sets the model to use
- setModelClass(String) - Method in class weka.core.pmml.jaxbbindings.ClusteringModel
-
Sets the value of the modelClass property.
- setModelDF(Double) - Method in class weka.core.pmml.jaxbbindings.GeneralRegressionModel
-
Sets the value of the modelDF property.
- setModelFile(File) - Method in class weka.classifiers.misc.SerializedClassifier
-
Sets the file containing the serialized model.
- setModelHeader(Instances) - Method in class weka.classifiers.misc.InputMappedClassifier
-
Set the structure of the data used to create the model.
- setModelLiftGraph(ModelLiftGraph) - Method in class weka.core.pmml.jaxbbindings.LiftData
-
Sets the value of the modelLiftGraph property.
- setModelName(String) - Method in class weka.core.pmml.jaxbbindings.AssociationModel
-
Sets the value of the modelName property.
- setModelName(String) - Method in class weka.core.pmml.jaxbbindings.BaselineModel
-
Sets the value of the modelName property.
- setModelName(String) - Method in class weka.core.pmml.jaxbbindings.ClusteringModel
-
Sets the value of the modelName property.
- setModelName(String) - Method in class weka.core.pmml.jaxbbindings.DecisionTree
-
Sets the value of the modelName property.
- setModelName(String) - Method in class weka.core.pmml.jaxbbindings.GeneralRegressionModel
-
Sets the value of the modelName property.
- setModelName(String) - Method in class weka.core.pmml.jaxbbindings.MiningModel
-
Sets the value of the modelName property.
- setModelName(String) - Method in class weka.core.pmml.jaxbbindings.NaiveBayesModel
-
Sets the value of the modelName property.
- setModelName(String) - Method in class weka.core.pmml.jaxbbindings.NearestNeighborModel
-
Sets the value of the modelName property.
- setModelName(String) - Method in class weka.core.pmml.jaxbbindings.NeuralNetwork
-
Sets the value of the modelName property.
- setModelName(String) - Method in class weka.core.pmml.jaxbbindings.Regression
-
Sets the value of the modelName property.
- setModelName(String) - Method in class weka.core.pmml.jaxbbindings.RegressionModel
-
Sets the value of the modelName property.
- setModelName(String) - Method in class weka.core.pmml.jaxbbindings.RuleSetModel
-
Sets the value of the modelName property.
- setModelName(String) - Method in class weka.core.pmml.jaxbbindings.Scorecard
-
Sets the value of the modelName property.
- setModelName(String) - Method in class weka.core.pmml.jaxbbindings.SequenceModel
-
Sets the value of the modelName property.
- setModelName(String) - Method in class weka.core.pmml.jaxbbindings.SupportVectorMachineModel
-
Sets the value of the modelName property.
- setModelName(String) - Method in class weka.core.pmml.jaxbbindings.TextModel
-
Sets the value of the modelName property.
- setModelName(String) - Method in class weka.core.pmml.jaxbbindings.TimeSeriesModel
-
Sets the value of the modelName property.
- setModelName(String) - Method in class weka.core.pmml.jaxbbindings.TreeModel
-
Sets the value of the modelName property.
- setModelPath(String) - Method in class weka.classifiers.misc.InputMappedClassifier
-
Set the path from which to load a model.
- setModelStats(ModelStats) - Method in class weka.core.pmml.jaxbbindings.DecisionTree
-
Sets the value of the modelStats property.
- setModelStats(ModelStats) - Method in class weka.core.pmml.jaxbbindings.Regression
-
Sets the value of the modelStats property.
- setModelType(String) - Method in class weka.core.pmml.jaxbbindings.GeneralRegressionModel
-
Sets the value of the modelType property.
- setModelType(String) - Method in class weka.core.pmml.jaxbbindings.RegressionModel
-
Sets the value of the modelType property.
- setModePanel(SetupModePanel) - Method in class weka.gui.experiment.AbstractSetupPanel
-
Sets the panel used to switch between simple and advanced modes.
- setModePanel(SetupModePanel) - Method in class weka.gui.experiment.SetupPanel
-
Sets the panel used to switch between simple and advanced modes.
- setModePanel(SetupModePanel) - Method in class weka.gui.experiment.SimpleSetupPanel
-
Sets the panel used to switch between simple and advanced modes.
- setModificationText(String) - Method in class weka.filters.RenameRelation
-
Set the modification text to apply
- setModificationText(String) - Method in class weka.knowledgeflow.steps.AlterRelationName
-
Set the modification text to apply
- setModifiedListener(BeanCustomizer.ModifyListener) - Method in class weka.gui.beans.AssociatorCustomizer
-
- setModifiedListener(BeanCustomizer.ModifyListener) - Method in class weka.gui.beans.AttributeSummarizerCustomizer
-
Set a listener interested in whether we've modified
the ImageSaver that we're customizing
- setModifiedListener(BeanCustomizer.ModifyListener) - Method in interface weka.gui.beans.BeanCustomizer
-
Set a listener to be notified about the modified status of this
object
- setModifiedListener(BeanCustomizer.ModifyListener) - Method in class weka.gui.beans.ClassAssignerCustomizer
-
- setModifiedListener(BeanCustomizer.ModifyListener) - Method in class weka.gui.beans.ClassifierCustomizer
-
- setModifiedListener(BeanCustomizer.ModifyListener) - Method in class weka.gui.beans.ClassifierPerformanceEvaluatorCustomizer
-
- setModifiedListener(BeanCustomizer.ModifyListener) - Method in class weka.gui.beans.ClassValuePickerCustomizer
-
- setModifiedListener(BeanCustomizer.ModifyListener) - Method in class weka.gui.beans.ClustererCustomizer
-
- setModifiedListener(BeanCustomizer.ModifyListener) - Method in class weka.gui.beans.CrossValidationFoldMakerCustomizer
-
- setModifiedListener(BeanCustomizer.ModifyListener) - Method in class weka.gui.beans.DataVisualizerCustomizer
-
Set a listener interested in whether we've modified
the ImageSaver that we're customizing
- setModifiedListener(BeanCustomizer.ModifyListener) - Method in class weka.gui.beans.FilterCustomizer
-
- setModifiedListener(BeanCustomizer.ModifyListener) - Method in class weka.gui.beans.FlowByExpressionCustomizer
-
- setModifiedListener(BeanCustomizer.ModifyListener) - Method in class weka.gui.beans.ImageSaverCustomizer
-
Set a listener interested in whether we've modified
the ImageSaver that we're customizing
- setModifiedListener(BeanCustomizer.ModifyListener) - Method in class weka.gui.beans.IncrementalClassifierEvaluatorCustomizer
-
- setModifiedListener(BeanCustomizer.ModifyListener) - Method in class weka.gui.beans.JoinCustomizer
-
- setModifiedListener(BeanCustomizer.ModifyListener) - Method in class weka.gui.beans.LoaderCustomizer
-
- setModifiedListener(BeanCustomizer.ModifyListener) - Method in class weka.gui.beans.ModelPerformanceChartCustomizer
-
Set a listener interested in whether we've modified
the ImageSaver that we're customizing
- setModifiedListener(BeanCustomizer.ModifyListener) - Method in class weka.gui.beans.NoteCustomizer
-
- setModifiedListener(BeanCustomizer.ModifyListener) - Method in class weka.gui.beans.PredictionAppenderCustomizer
-
- setModifiedListener(BeanCustomizer.ModifyListener) - Method in class weka.gui.beans.SaverCustomizer
-
- setModifiedListener(BeanCustomizer.ModifyListener) - Method in class weka.gui.beans.SerializedModelSaverCustomizer
-
- setModifiedListener(BeanCustomizer.ModifyListener) - Method in class weka.gui.beans.SorterCustomizer
-
The modify listener interested in any chages we might make
- setModifiedListener(BeanCustomizer.ModifyListener) - Method in class weka.gui.beans.SubstringLabelerCustomizer
-
Set a listener interested in knowing if the object being edited has
changed.
- setModifiedListener(BeanCustomizer.ModifyListener) - Method in class weka.gui.beans.SubstringReplacerCustomizer
-
Set a listener interested in knowing if the object being edited has
changed.
- setModifiedListener(BeanCustomizer.ModifyListener) - Method in class weka.gui.beans.TextSaverCustomizer
-
Set a listener interested in whether we've modified the TextSaver that
we're customizing
- setModifiedListener(BeanCustomizer.ModifyListener) - Method in class weka.gui.filters.AddUserFieldsCustomizer
-
Set an object that is interested in knowing when we make a change to the
object that we're editing
- setModifiedStatus(Object, boolean) - Method in interface weka.gui.beans.BeanCustomizer.ModifyListener
-
Tell the listener about the modified status of the source object.
- setModifiedStatus(Object, boolean) - Method in class weka.gui.beans.KnowledgeFlowApp
-
Tells us about the modified status of a particular object - typically a
customizer that is editing a flow component.
- setModifyHeader(boolean) - Method in class weka.filters.unsupervised.instance.RemoveFrequentValues
-
Sets whether the header will be modified when selecting on nominal
attributes.
- setModifyHeader(boolean) - Method in class weka.filters.unsupervised.instance.RemoveWithValues
-
Sets whether the header will be modified when selecting on nominal
attributes.
- setModType(RenameRelation.ModType) - Method in class weka.filters.RenameRelation
-
Set the modification type to apply
- setModType(AlterRelationName.ModType) - Method in class weka.knowledgeflow.steps.AlterRelationName
-
Set the modification type to apply
- setMomentum(double) - Method in class weka.classifiers.functions.MultilayerPerceptron
-
The momentum can be set using this command.
- setMultiInstance(boolean) - Method in class weka.core.TestInstances
-
sets whether multi-instance data should be generated (with a fixed data
structure)
- setMultiLineComment(boolean) - Method in class weka.gui.scripting.SyntaxDocument
-
Sets whether to enable multi-line comments.
- setMultiLineCommentEnd(String) - Method in class weka.gui.scripting.SyntaxDocument
-
Sets the string that is the end of a multi-line comment.
- setMultiLineCommentStart(String) - Method in class weka.gui.scripting.SyntaxDocument
-
Sets the string that is the start of a multi-line comment.
- setMultipleModelMethod(MULTIPLEMODELMETHOD) - Method in class weka.core.pmml.jaxbbindings.Segmentation
-
Sets the value of the multipleModelMethod property.
- setMustRunSingleThreaded(boolean) - Method in class weka.knowledgeflow.StepTask
-
Set whether this StepTask
must run single threaded - i.e.
- setN(BigInteger) - Method in class weka.core.pmml.jaxbbindings.ArrayType
-
Sets the value of the n property.
- setN(BigInteger) - Method in class weka.core.pmml.jaxbbindings.INTSparseArray
-
Sets the value of the n property.
- setN(BigInteger) - Method in class weka.core.pmml.jaxbbindings.REALSparseArray
-
Sets the value of the n property.
- setNaiveBayesModel(NaiveBayesModel) - Method in class weka.core.pmml.jaxbbindings.Segment
-
Sets the value of the naiveBayesModel property.
- setNaiveBayesPredictionThreshold(double) - Method in class weka.classifiers.trees.HoeffdingTree
-
Set the number of instances (weight) a leaf should observe before allowing
naive Bayes to make predictions
- setName(String) - Method in class weka.core.pmml.jaxbbindings.Application
-
Sets the value of the name property.
- setName(String) - Method in class weka.core.pmml.jaxbbindings.CategoricalPredictor
-
Sets the value of the name property.
- setName(String) - Method in class weka.core.pmml.jaxbbindings.Characteristic
-
Sets the value of the name property.
- setName(String) - Method in class weka.core.pmml.jaxbbindings.Cluster
-
Sets the value of the name property.
- setName(String) - Method in class weka.core.pmml.jaxbbindings.DataField
-
Sets the value of the name property.
- setName(String) - Method in class weka.core.pmml.jaxbbindings.DefineFunction
-
Sets the value of the name property.
- setName(String) - Method in class weka.core.pmml.jaxbbindings.DerivedField
-
Sets the value of the name property.
- setName(String) - Method in class weka.core.pmml.jaxbbindings.Extension
-
Sets the value of the name property.
- setName(String) - Method in class weka.core.pmml.jaxbbindings.MiningField
-
Sets the value of the name property.
- setName(String) - Method in class weka.core.pmml.jaxbbindings.MultivariateStat
-
Sets the value of the name property.
- setName(String) - Method in class weka.core.pmml.jaxbbindings.NumericPredictor
-
Sets the value of the name property.
- setName(String) - Method in class weka.core.pmml.jaxbbindings.OutputField
-
Sets the value of the name property.
- setName(String) - Method in class weka.core.pmml.jaxbbindings.Parameter
-
Sets the value of the name property.
- setName(String) - Method in class weka.core.pmml.jaxbbindings.ParameterField
-
Sets the value of the name property.
- setName(String) - Method in class weka.core.pmml.jaxbbindings.Partition
-
Sets the value of the name property.
- setName(String) - Method in class weka.core.pmml.jaxbbindings.Predictor
-
Sets the value of the name property.
- setName(String) - Method in class weka.core.pmml.jaxbbindings.PredictorTerm
-
Sets the value of the name property.
- setName(String) - Method in class weka.core.pmml.jaxbbindings.ResultField
-
Sets the value of the name property.
- setName(String) - Method in class weka.core.pmml.jaxbbindings.Taxonomy
-
Sets the value of the name property.
- setName(String) - Method in class weka.core.pmml.jaxbbindings.TextDocument
-
Sets the value of the name property.
- setName(String) - Method in class weka.filters.unsupervised.attribute.AddExpression
-
Set the name for the new attribute.
- setName(String) - Method in class weka.filters.unsupervised.attribute.AddUserFields.AttributeSpec
-
Set the name of the new attribute
- setName(String) - Method in class weka.gui.visualize.VisualizePanel
-
Set a name for this plot
- setName(String) - Method in class weka.knowledgeflow.steps.BaseStep
-
Set the name of this step
- setName(String) - Method in interface weka.knowledgeflow.steps.Step
-
Set the name for this step
- setNbCols(BigInteger) - Method in class weka.core.pmml.jaxbbindings.Matrix
-
Sets the value of the nbCols property.
- setNbCorrect(Double) - Method in class weka.core.pmml.jaxbbindings.RuleSet
-
Sets the value of the nbCorrect property.
- setNbCorrect(Double) - Method in class weka.core.pmml.jaxbbindings.SimpleRule
-
Sets the value of the nbCorrect property.
- setNbRows(BigInteger) - Method in class weka.core.pmml.jaxbbindings.Matrix
-
Sets the value of the nbRows property.
- setNearestNeighborModel(NearestNeighborModel) - Method in class weka.core.pmml.jaxbbindings.Segment
-
Sets the value of the nearestNeighborModel property.
- setNearestNeighbourSearchAlgorithm(NearestNeighbourSearch) - Method in class weka.classifiers.lazy.IBk
-
Sets the nearestNeighbourSearch algorithm to be used for finding nearest
neighbour(s).
- setNearestNeighbourSearchAlgorithm(NearestNeighbourSearch) - Method in class weka.classifiers.lazy.LWL
-
Sets the nearestNeighbourSearch algorithm to be used for finding nearest
neighbour(s).
- setNegated(boolean) - Method in class weka.knowledgeflow.steps.FlowByExpression.ExpressionNode
-
Set whether this node is negated
- setNegativeTargetFieldDisplayValue(String) - Method in class weka.core.pmml.jaxbbindings.ROC
-
Sets the value of the negativeTargetFieldDisplayValue property.
- setNegativeTargetFieldValue(String) - Method in class weka.core.pmml.jaxbbindings.ROC
-
Sets the value of the negativeTargetFieldValue property.
- setNeuralNetwork(NeuralNetwork) - Method in class weka.core.pmml.jaxbbindings.Segment
-
Sets the value of the neuralNetwork property.
- setNewAttributeName(String) - Method in class weka.gui.beans.SubstringLabelerRules
-
Set the name to use for the new attribute that is added
- setNGramMaxSize(int) - Method in class weka.core.tokenizers.CharacterNGramTokenizer
-
Sets the max size of the Ngram.
- setNGramMaxSize(int) - Method in class weka.core.tokenizers.NGramTokenizer
-
Sets the max size of the Ngram.
- setNGramMinSize(int) - Method in class weka.core.tokenizers.CharacterNGramTokenizer
-
Sets the min size of the Ngram.
- setNGramMinSize(int) - Method in class weka.core.tokenizers.NGramTokenizer
-
Sets the min size of the Ngram.
- setNoClass(boolean) - Method in class weka.core.TestInstances
-
whether to have no class, e.g., for clusterers; otherwise the class
attribute index is set to last
- setNode(Node) - Method in class weka.core.pmml.jaxbbindings.DecisionTree
-
Sets the value of the node property.
- setNodeName(int, String) - Method in class weka.classifiers.bayes.net.EditableBayesNet
-
change the name of a node
- setNodesEdges(ArrayList<GraphNode>, ArrayList<GraphEdge>) - Method in class weka.gui.graphvisualizer.HierarchicalBCEngine
-
Sets the nodes and edges for this LayoutEngine.
- setNodesEdges(ArrayList<GraphNode>, ArrayList<GraphEdge>) - Method in interface weka.gui.graphvisualizer.LayoutEngine
-
This method sets the nodes and edges vectors of the LayoutEngine
- setNodeSize(int, int) - Method in class weka.gui.graphvisualizer.HierarchicalBCEngine
-
Sets the size of a node.
- setNodeSize(int, int) - Method in interface weka.gui.graphvisualizer.LayoutEngine
-
This method sets the allowed size of the node
- setNodeSplitter(KDTreeNodeSplitter) - Method in class weka.core.neighboursearch.KDTree
-
Sets the splitting method to use to split the nodes of the KDTree.
- setNodeWidthNormalization(boolean) - Method in class weka.core.neighboursearch.kdtrees.KDTreeNodeSplitter
-
Sets whether if a nodes region is normalized or not.
- setNoHeaderRow(boolean) - Method in class weka.core.converters.CSVSaver
-
Set whether to not write the header row
- setNoHeaderRowPresent(boolean) - Method in class weka.core.converters.CSVLoader
-
Set whether there is no header row in the data.
- setNoise(double) - Method in class weka.classifiers.functions.GaussianProcesses
-
Set the level of Gaussian Noise.
- setNoisePercent(double) - Method in class weka.datagenerators.classifiers.classification.LED24
-
Sets the noise percentage.
- setNoiseRate(double) - Method in class weka.datagenerators.classifiers.regression.MexicanHat
-
Sets the gaussian noise rate.
- setNoiseVariance(double) - Method in class weka.datagenerators.classifiers.regression.MexicanHat
-
Sets the noise variance
- setNominalAttributes(String) - Method in class weka.core.converters.CSVLoader
-
Sets the attribute range to be forced to type nominal.
- setNominalBinary(boolean) - Method in class weka.gui.beans.SubstringLabeler
-
Set whether the new attribute created should be a nominal binary attribute
rather than a numeric binary attribute.
- setNominalBinary(boolean) - Method in class weka.gui.beans.SubstringLabelerRules
-
Set whether to create a nominal binary attribute in the case when the user
has not supplied an explicit label to use for each rule.
- setNominalBinary(boolean) - Method in class weka.knowledgeflow.steps.SubstringLabeler
-
Set whether the new attribute created should be a nominal binary attribute
rather than a numeric binary attribute.
- setNominalCols(Range) - Method in class weka.datagenerators.clusterers.SubspaceCluster
-
Sets which attributes are nominal.
- setNominalConversionThreshold(int) - Method in class weka.filters.supervised.attribute.ClassConditionalProbabilities
-
Set the minimum number of values a nominal attribute must have in order to
be transformed.
- setNominalIndices(String) - Method in class weka.datagenerators.clusterers.SubspaceCluster
-
Sets which attributes are nominal
- setNominalIndices(String) - Method in class weka.filters.unsupervised.instance.RemoveWithValues
-
Set which nominal labels are to be included in the selection.
- setNominalIndicesArr(int[]) - Method in class weka.filters.unsupervised.instance.RemoveWithValues
-
Set which values of a nominal attribute are to be used for selection.
- setNominalLabels(String) - Method in class weka.filters.unsupervised.attribute.Add
-
Set the labels for nominal attribute creation.
- setNominalLabelSpecs(Object[]) - Method in class weka.core.converters.CSVLoader
-
Set label specifications for nominal attributes.
- setNominalStringReplacementValue(String) - Method in class weka.filters.unsupervised.attribute.ReplaceMissingWithUserConstant
-
Set the nominal/string replacement value
- setNominalToBinaryFilter(boolean) - Method in class weka.classifiers.functions.MultilayerPerceptron
-
- setNoPruning(boolean) - Method in class weka.classifiers.trees.REPTree
-
Set the value of NoPruning.
- setNoReplacement(boolean) - Method in class weka.filters.supervised.instance.Resample
-
Sets whether instances are drawn with or with out replacement.
- setNoReplacement(boolean) - Method in class weka.filters.unsupervised.instance.Resample
-
Sets whether instances are drawn with or with out replacement.
- setNorm(double) - Method in class weka.classifiers.bayes.NaiveBayesMultinomialText
-
Set the norm of the instances
- setNorm(double) - Method in class weka.classifiers.functions.SGDText
-
Set the norm of the instances
- setNorm(double) - Method in class weka.core.pmml.jaxbbindings.LinearNorm
-
Sets the value of the norm property.
- setNormalizationMethod(NNNORMALIZATIONMETHOD) - Method in class weka.core.pmml.jaxbbindings.NeuralLayer
-
Sets the value of the normalizationMethod property.
- setNormalizationMethod(NNNORMALIZATIONMETHOD) - Method in class weka.core.pmml.jaxbbindings.NeuralNetwork
-
Sets the value of the normalizationMethod property.
- setNormalizationMethod(REGRESSIONNORMALIZATIONMETHOD) - Method in class weka.core.pmml.jaxbbindings.Regression
-
Sets the value of the normalizationMethod property.
- setNormalizationMethod(REGRESSIONNORMALIZATIONMETHOD) - Method in class weka.core.pmml.jaxbbindings.RegressionModel
-
Sets the value of the normalizationMethod property.
- setNormalizationScheme(String) - Method in class weka.core.pmml.jaxbbindings.TestDistributions
-
Sets the value of the normalizationScheme property.
- setNormalize(boolean) - Method in class weka.core.DictionaryBuilder
-
Set whether word frequencies for a document should be normalized
- setNormalizeAttributes(boolean) - Method in class weka.classifiers.functions.MultilayerPerceptron
-
- setNormalizedCountTable(COUNTTABLETYPE) - Method in class weka.core.pmml.jaxbbindings.Baseline
-
Sets the value of the normalizedCountTable property.
- setNormalizeDimWidths(boolean) - Method in class weka.core.neighboursearch.balltrees.MedianOfWidestDimension
-
Should we normalize the widths(ranges) of the dimensions (attributes)
before selecting the widest one.
- setNormalizeDocLength(boolean) - Method in class weka.classifiers.bayes.NaiveBayesMultinomialText
-
Set whether to normalize the length of each document
- setNormalizeDocLength(boolean) - Method in class weka.classifiers.functions.SGDText
-
Set whether to normalize the length of each document
- setNormalizeDocLength(boolean) - Method in class weka.filters.unsupervised.attribute.FixedDictionaryStringToWordVector
-
Sets whether if the word frequencies for a document (instance) should be
normalized or not.
- setNormalizeDocLength(SelectedTag) - Method in class weka.filters.unsupervised.attribute.StringToWordVector
-
Sets whether if the word frequencies for a document (instance) should be
normalized or not.
- setNormalizeNodeWidth(boolean) - Method in class weka.core.neighboursearch.KDTree
-
Sets the flag for normalizing the widths of a KDTree Node by the width of
the dimension in the universe.
- setNormalizeNumericClass(boolean) - Method in class weka.classifiers.functions.MultilayerPerceptron
-
- setNormContinuous(NormContinuous) - Method in class weka.core.pmml.jaxbbindings.DefineFunction
-
Sets the value of the normContinuous property.
- setNormContinuous(NormContinuous) - Method in class weka.core.pmml.jaxbbindings.DerivedField
-
Sets the value of the normContinuous property.
- setNormContinuous(NormContinuous) - Method in class weka.core.pmml.jaxbbindings.OutputField
-
Sets the value of the normContinuous property.
- setNormDiscrete(NormDiscrete) - Method in class weka.core.pmml.jaxbbindings.DefineFunction
-
Sets the value of the normDiscrete property.
- setNormDiscrete(NormDiscrete) - Method in class weka.core.pmml.jaxbbindings.DerivedField
-
Sets the value of the normDiscrete property.
- setNormDiscrete(NormDiscrete) - Method in class weka.core.pmml.jaxbbindings.OutputField
-
Sets the value of the normDiscrete property.
- setNoSizeDetermination(boolean) - Method in class weka.experiment.ClassifierSplitEvaluator
-
Sets whether the size determination (train/test/classifer) is skipped.
- setNoSizeDetermination(boolean) - Method in class weka.experiment.DensityBasedClustererSplitEvaluator
-
Sets whether the size determination (train/test/clusterer) is skipped.
- setNoSizeDetermination(boolean) - Method in class weka.experiment.RegressionSplitEvaluator
-
Sets whether the size determination (train/test/classifer) is skipped.
- setNotCapabilities(Capabilities) - Method in class weka.core.FindWithCapabilities
-
Uses the given "not to have" Capabilities for the search.
- setNotes(String) - Method in class weka.experiment.Experiment
-
Set the user notes.
- setNotes(String) - Method in class weka.experiment.RemoteExperiment
-
Set the user notes.
- setNoteText(String) - Method in class weka.gui.beans.Note
-
Set the text to display
- setNoteText(String) - Method in class weka.knowledgeflow.steps.Note
-
Set the text of the note
- setNotificationEnabled(boolean) - Method in class weka.gui.arffviewer.ArffSortedTableModel
-
sets whether the notification of changes is enabled
- setNotificationEnabled(boolean) - Method in class weka.gui.arffviewer.ArffTableModel
-
sets whether the notification of changes is enabled
- setNoTrueChildStrategy(NOTRUECHILDSTRATEGY) - Method in class weka.core.pmml.jaxbbindings.DecisionTree
-
Sets the value of the noTrueChildStrategy property.
- setNoTrueChildStrategy(NOTRUECHILDSTRATEGY) - Method in class weka.core.pmml.jaxbbindings.TreeModel
-
Sets the value of the noTrueChildStrategy property.
- setNrOfGoodOperations(int) - Method in class weka.classifiers.bayes.net.search.local.LAGDHillClimber
-
Sets the number of "good operations"
- setNrOfLookAheadSteps(int) - Method in class weka.classifiers.bayes.net.search.local.LAGDHillClimber
-
Sets the number of look-ahead steps
- setNumAllConds(double) - Method in class weka.classifiers.rules.RuleStats
-
Set the number of all conditions that could appear in a rule in this
RuleStats object, if the number set is smaller than 0 (typically -1), then
it calcualtes based on the data store
- setNumArcs(int) - Method in class weka.datagenerators.classifiers.classification.BayesNet
-
Sets the number of arcs for the bayesian net
- setNumAttributes(int) - Method in class weka.datagenerators.classifiers.classification.BayesNet
-
Sets the number of attributes the dataset should have.
- setNumAttributes(int) - Method in class weka.datagenerators.classifiers.classification.RandomRBF
-
Sets the number of attributes the dataset should have.
- setNumAttributes(int) - Method in class weka.datagenerators.classifiers.classification.RDG1
-
Sets the number of attributes the dataset should have.
- setNumAttributes(int) - Method in class weka.datagenerators.ClusterGenerator
-
Sets the number of attributes the dataset should have.
- setNumAttributes(double) - Method in class weka.filters.unsupervised.attribute.RandomSubset
-
Set the number of attributes.
- setNumberOfAttributes(BigInteger) - Method in class weka.core.pmml.jaxbbindings.SupportVectors
-
Sets the value of the numberOfAttributes property.
- setNumberOfAttributes(int) - Method in class weka.filters.unsupervised.attribute.RandomProjection
-
Sets the number of attributes (dimensions) the data should be reduced to
- setNumberOfClusters(BigInteger) - Method in class weka.core.pmml.jaxbbindings.ClusteringModel
-
Sets the value of the numberOfClusters property.
- setNumberOfCoefficients(BigInteger) - Method in class weka.core.pmml.jaxbbindings.Coefficients
-
Sets the value of the numberOfCoefficients property.
- setNumberOfDocuments(BigInteger) - Method in class weka.core.pmml.jaxbbindings.TextModel
-
Sets the value of the numberOfDocuments property.
- setNumberOfFields(BigInteger) - Method in class weka.core.pmml.jaxbbindings.DataDictionary
-
Sets the value of the numberOfFields property.
- setNumberOfFields(BigInteger) - Method in class weka.core.pmml.jaxbbindings.VectorFields
-
Sets the value of the numberOfFields property.
- setNumberOfInputs(BigInteger) - Method in class weka.core.pmml.jaxbbindings.NeuralInputs
-
Sets the value of the numberOfInputs property.
- setNumberOfItems(BigInteger) - Method in class weka.core.pmml.jaxbbindings.AssociationModel
-
Sets the value of the numberOfItems property.
- setNumberOfItems(BigInteger) - Method in class weka.core.pmml.jaxbbindings.Itemset
-
Sets the value of the numberOfItems property.
- setNumberOfItemsets(BigInteger) - Method in class weka.core.pmml.jaxbbindings.AssociationModel
-
Sets the value of the numberOfItemsets property.
- setNumberOfLayers(BigInteger) - Method in class weka.core.pmml.jaxbbindings.NeuralNetwork
-
Sets the value of the numberOfLayers property.
- setNumberOfNeighbors(BigInteger) - Method in class weka.core.pmml.jaxbbindings.NearestNeighborModel
-
Sets the value of the numberOfNeighbors property.
- setNumberOfNeurons(BigInteger) - Method in class weka.core.pmml.jaxbbindings.NeuralLayer
-
Sets the value of the numberOfNeurons property.
- setNumberOfOutputs(BigInteger) - Method in class weka.core.pmml.jaxbbindings.NeuralOutputs
-
Sets the value of the numberOfOutputs property.
- setNumberOfRules(BigInteger) - Method in class weka.core.pmml.jaxbbindings.AssociationModel
-
Sets the value of the numberOfRules property.
- setNumberOfSets(BigInteger) - Method in class weka.core.pmml.jaxbbindings.Sequence
-
Sets the value of the numberOfSets property.
- setNumberOfSets(BigInteger) - Method in class weka.core.pmml.jaxbbindings.SequenceRule
-
Sets the value of the numberOfSets property.
- setNumberOfSupportVectors(BigInteger) - Method in class weka.core.pmml.jaxbbindings.SupportVectors
-
Sets the value of the numberOfSupportVectors property.
- setNumberOfTerms(BigInteger) - Method in class weka.core.pmml.jaxbbindings.TextModel
-
Sets the value of the numberOfTerms property.
- setNumberOfTransactionGroups(BigInteger) - Method in class weka.core.pmml.jaxbbindings.SequenceModel
-
Sets the value of the numberOfTransactionGroups property.
- setNumberOfTransactions(BigInteger) - Method in class weka.core.pmml.jaxbbindings.AssociationModel
-
Sets the value of the numberOfTransactions property.
- setNumberOfTransactions(BigInteger) - Method in class weka.core.pmml.jaxbbindings.SequenceModel
-
Sets the value of the numberOfTransactions property.
- setNumberOfVectors(BigInteger) - Method in class weka.core.pmml.jaxbbindings.VectorDictionary
-
Sets the value of the numberOfVectors property.
- setNumBins(int) - Method in class weka.classifiers.meta.RegressionByDiscretization
-
Sets the number of bins to divide each selected numeric attribute into
- setNumBins(int) - Method in class weka.classifiers.trees.ht.GaussianConditionalSufficientStats
-
- setNumBins(int) - Method in class weka.estimators.UnivariateEqualFrequencyHistogramEstimator
-
Sets the number of bins
- setNumBoostingIterations(int) - Method in class weka.classifiers.functions.SimpleLogistic
-
Set the value of numBoostingIterations.
- setNumBoostingIterations(int) - Method in class weka.classifiers.trees.LMT
-
Set the value of numBoostingIterations.
- setNumBootstrapRuns(int) - Method in class weka.estimators.UnivariateMixtureEstimator
-
Sets the number of Bootstrap runs.
- setNumCentroids(int) - Method in class weka.datagenerators.classifiers.classification.RandomRBF
-
Sets the number of centroids to use.
- setNumClasses(int) - Method in class weka.core.TestInstances
-
sets the number of classes
- setNumClasses(int) - Method in class weka.datagenerators.classifiers.classification.RandomRBF
-
Sets the number of classes the dataset should have.
- setNumClasses(int) - Method in class weka.datagenerators.classifiers.classification.RDG1
-
Sets the number of classes the dataset should have.
- setNumClusters(int) - Method in class weka.clusterers.Canopy
-
- setNumClusters(int) - Method in class weka.clusterers.EM
-
Set the number of clusters (-1 to select by CV).
- setNumClusters(int) - Method in class weka.clusterers.FarthestFirst
-
set the number of clusters to generate
- setNumClusters(int) - Method in class weka.clusterers.HierarchicalClusterer
-
- setNumClusters(int) - Method in class weka.clusterers.MakeDensityBasedClusterer
-
Set the number of clusters to generate.
- setNumClusters(int) - Method in interface weka.clusterers.NumberOfClustersRequestable
-
Set the number of clusters to generate
- setNumClusters(int) - Method in class weka.clusterers.SimpleKMeans
-
set the number of clusters to generate.
- setNumClusters(int) - Method in class weka.datagenerators.clusterers.BIRCHCluster
-
Sets the number of clusters the dataset should have.
- setNumComponents(int) - Method in class weka.estimators.UnivariateMixtureEstimator
-
Sets the number of components to use.
- setNumCycles(int) - Method in class weka.datagenerators.clusterers.BIRCHCluster
-
Sets the the number of cycles.
- setNumDate(int) - Method in class weka.core.CheckScheme
-
sets the number of data attributes
- setNumDate(int) - Method in class weka.core.TestInstances
-
sets the number of date attributes
- setNumDecimalPlaces(int) - Method in class weka.classifiers.AbstractClassifier
-
Set the number of decimal places.
- setNumDecimalPlaces(int) - Method in class weka.classifiers.trees.m5.Rule
-
Set the number of decimal places.
- setNumDecimalPlaces(int) - Method in class weka.classifiers.trees.RandomForest
-
Set the number of decimal places.
- setNumDecimals(int) - Method in class weka.classifiers.evaluation.output.prediction.AbstractOutput
-
Sets the number of digits to output after the decimal point.
- setNumeric(boolean) - Method in class weka.filters.unsupervised.attribute.MakeIndicator
-
Sets if the new Attribute is to be numeric.
- setNumericAttributes(String) - Method in class weka.core.converters.CSVLoader
-
Sets the attribute range to be forced to type numeric
- setNumericInfo(NumericInfo) - Method in class weka.core.pmml.jaxbbindings.PartitionFieldStats
-
Sets the value of the numericInfo property.
- setNumericInfo(NumericInfo) - Method in class weka.core.pmml.jaxbbindings.UnivariateStats
-
Sets the value of the numericInfo property.
- setNumericReplacementValue(String) - Method in class weka.filters.unsupervised.attribute.ReplaceMissingWithUserConstant
-
Set the numeric replacement value
- setNumExamples(int) - Method in class weka.datagenerators.ClassificationGenerator
-
Sets the number of examples, given by option.
- setNumExamples(int) - Method in class weka.datagenerators.classifiers.classification.BayesNet
-
Sets the number of examples, given by option.
- setNumExamples(int) - Method in class weka.datagenerators.RegressionGenerator
-
Sets the number of examples, given by option.
- setNumExecutionSlots(int) - Method in class weka.attributeSelection.GreedyStepwise
-
Sets the number of threads
- setNumExecutionSlots(int) - Method in class weka.classifiers.ParallelIteratedSingleClassifierEnhancer
-
Set the number of execution slots (threads) to use for building the members
of the ensemble.
- setNumExecutionSlots(int) - Method in class weka.classifiers.ParallelMultipleClassifiersCombiner
-
Set the number of execution slots (threads) to use for building the
members of the ensemble.
- setNumExecutionSlots(int) - Method in class weka.clusterers.EM
-
Set the degree of parallelism to use.
- setNumExecutionSlots(int) - Method in class weka.clusterers.SimpleKMeans
-
Set the degree of parallelism to use.
- setNumFeatures(int) - Method in class weka.classifiers.trees.RandomForest
-
Set the number of features to use in random selection.
- setNumFolds(int) - Method in class weka.classifiers.functions.SMO
-
Set the value of numFolds.
- setNumFolds(int) - Method in class weka.classifiers.meta.CVParameterSelection
-
Sets the number of folds for the cross-validation.
- setNumFolds(int) - Method in class weka.classifiers.meta.IterativeClassifierOptimizer
-
Set the value of NumFolds.
- setNumFolds(int) - Method in class weka.classifiers.meta.MultiScheme
-
Sets the number of folds for cross-validation.
- setNumFolds(int) - Method in class weka.classifiers.meta.Stacking
-
Sets the number of folds for the cross-validation.
- setNumFolds(int) - Method in class weka.classifiers.rules.PART
-
Set the value of numFolds.
- setNumFolds(int) - Method in class weka.classifiers.trees.J48
-
Set the value of numFolds.
- setNumFolds(int) - Method in class weka.classifiers.trees.RandomTree
-
Set the value of NumFolds.
- setNumFolds(int) - Method in class weka.classifiers.trees.REPTree
-
Set the value of NumFolds.
- setNumFolds(int) - Method in class weka.clusterers.EM
-
Set the number of folds to use when cross-validating to find the best
number of clusters.
- setNumFolds(int) - Method in class weka.experiment.CrossValidationResultProducer
-
Set the value of NumFolds.
- setNumFolds(int) - Method in class weka.filters.supervised.instance.StratifiedRemoveFolds
-
Sets the number of folds the dataset is split into.
- setNumFolds(int) - Method in class weka.filters.unsupervised.instance.RemoveFolds
-
Sets the number of folds the dataset is split into.
- setNumFolds(int) - Method in class weka.filters.unsupervised.instance.RemoveMisclassified
-
Sets the number of cross-validation folds to use - < 2 means no
cross-validation.
- setNumFolds(String) - Method in class weka.knowledgeflow.steps.CrossValidationFoldMaker
-
Set the number of folds to create
- setNumInstances(int) - Method in class weka.core.CheckScheme
-
Sets the number of instances to use in the datasets (some classifiers
might require more instances).
- setNumInstances(int) - Method in class weka.core.TestInstances
-
sets the number of instances to produce
- setNumInstances(Random) - Method in class weka.datagenerators.clusterers.SubspaceClusterDefinition
-
Sets the real number of instances for this cluster.
- setNumInstances(int) - Method in class weka.estimators.CheckEstimator
-
Sets the number of instances to use in the datasets (some estimators might
require more instances).
- setNumInstancesRelational(int) - Method in class weka.core.CheckScheme
-
sets the number of instances in relational/bag attributes to produce
- setNumInstancesRelational(int) - Method in class weka.core.TestInstances
-
sets the number of instances in relational/bag attributes to produce
- setNumIntervals(int) - Method in class weka.filters.supervised.instance.ClassBalancer
-
Sets the number of discretization intervals to use.
- setNumIrrelevant(int) - Method in class weka.datagenerators.classifiers.classification.RDG1
-
Sets the number of irrelevant attributes.
- setNumIterations(int) - Method in class weka.classifiers.functions.VotedPerceptron
-
Set the value of NumIterations.
- setNumIterations(int) - Method in class weka.classifiers.IteratedSingleClassifierEnhancer
-
Sets the number of bagging iterations
- setNumKMeansRuns(int) - Method in class weka.clusterers.EM
-
Set the number of runs of SimpleKMeans to perform.
- setNumLocationsPerPixel(String) - Method in class weka.knowledgeflow.steps.BoundaryPlotter
-
Set the number of locations/samples per pixel
- setNumNeighbours(int) - Method in class weka.attributeSelection.ReliefFAttributeEval
-
Set the number of nearest neighbours
- setNumNominal(int) - Method in class weka.core.CheckScheme
-
sets the number of nominal attributes
- setNumNominal(int) - Method in class weka.core.TestInstances
-
sets the number of nominal attributes
- setNumNominalValues(int) - Method in class weka.core.TestInstances
-
sets the number of values for nominal attributes
- setNumNumeric(int) - Method in class weka.core.CheckScheme
-
sets the number of numeric attributes
- setNumNumeric(int) - Method in class weka.core.TestInstances
-
sets the number of numeric attributes
- setNumNumeric(int) - Method in class weka.datagenerators.classifiers.classification.RDG1
-
Sets the number of numerical attributes.
- setNumOfPredictors(Double) - Method in class weka.core.pmml.jaxbbindings.PredictiveModelQuality
-
Sets the value of the numOfPredictors property.
- setNumOfRecords(Double) - Method in class weka.core.pmml.jaxbbindings.PredictiveModelQuality
-
Sets the value of the numOfRecords property.
- setNumOfRecordsWeighted(Double) - Method in class weka.core.pmml.jaxbbindings.PredictiveModelQuality
-
Sets the value of the numOfRecordsWeighted property.
- setNumRelational(int) - Method in class weka.core.CheckScheme
-
sets the number of relational attributes
- setNumRelational(int) - Method in class weka.core.TestInstances
-
sets the number of relational attributes
- setNumRelationalDate(int) - Method in class weka.core.TestInstances
-
sets the number of date attributes in a relational attribute
- setNumRelationalNominal(int) - Method in class weka.core.TestInstances
-
sets the number of nominal attributes in a relational attribute
- setNumRelationalNominalValues(int) - Method in class weka.core.TestInstances
-
sets the number of values for nominal attributes in a relational attribute
- setNumRelationalNumeric(int) - Method in class weka.core.TestInstances
-
sets the number of numeric attributes in a relational attribute
- setNumRelationalString(int) - Method in class weka.core.TestInstances
-
sets the number of string attributes in a relational attribute
- setNumRules(int) - Method in class weka.associations.Apriori
-
Set the value of numRules.
- setNumRulesToFind(int) - Method in class weka.associations.FPGrowth
-
Set the desired number of rules to find.
- setNumRuns(int) - Method in class weka.classifiers.meta.IterativeClassifierOptimizer
-
Set the value of NumRuns.
- setNumSamplesPerRegion(int) - Method in class weka.gui.boundaryvisualizer.BoundaryPanel
-
Set the number of points to uniformly sample from a region (fixed
dimensions).
- setNumSamplesPerRegion(int) - Method in class weka.gui.boundaryvisualizer.RemoteBoundaryVisualizerSubTask
-
Set the number of points to uniformly sample from a region (fixed
dimensions).
- setNumString(int) - Method in class weka.core.CheckScheme
-
sets the number of string attributes
- setNumString(int) - Method in class weka.core.TestInstances
-
sets the number of string attributes
- setNumThreads(int) - Method in class weka.attributeSelection.CfsSubsetEval
-
Sets the number of threads
- setNumThreads(int) - Method in class weka.classifiers.meta.IterativeClassifierOptimizer
-
Sets the number of threads
- setNumThreads(int) - Method in class weka.classifiers.meta.LogitBoost
-
Sets the number of threads
- setNumToEvaluateInParallel(int) - Method in class weka.attributeSelection.ClassifierAttributeEval
-
Set the number of attributes to evaluate in parallel
- setNumToSelect(int) - Method in class weka.attributeSelection.GreedyStepwise
-
Specify the number of attributes to select from the ranked list (if
generating a ranking).
- setNumToSelect(int) - Method in interface weka.attributeSelection.RankedOutputSearch
-
Specify the number of attributes to select from the ranked list.
- setNumToSelect(int) - Method in class weka.attributeSelection.Ranker
-
Specify the number of attributes to select from the ranked list.
- setNumValues(int) - Method in class weka.filters.unsupervised.instance.RemoveFrequentValues
-
Sets how many values are retained
- setObject(Object) - Method in class weka.core.CheckGOE
-
Set the object to work on..
- setObject(Object) - Method in class weka.gui.beans.AssociatorCustomizer
-
Set the classifier object to be edited
- setObject(Object) - Method in class weka.gui.beans.AttributeSummarizerCustomizer
-
Set the model performance chart object to customize
- setObject(Object) - Method in class weka.gui.beans.ClassAssignerCustomizer
-
Set the bean to be edited
- setObject(Object) - Method in class weka.gui.beans.ClassifierCustomizer
-
Set the classifier object to be edited
- setObject(Object) - Method in class weka.gui.beans.ClassifierPerformanceEvaluatorCustomizer
-
Set the ClassifierPerformanceEvaluator to be customized
- setObject(Object) - Method in class weka.gui.beans.ClassValuePickerCustomizer
-
Set the bean to be edited
- setObject(Object) - Method in class weka.gui.beans.ClustererCustomizer
-
Set the Clusterer object to be edited
- setObject(Object) - Method in class weka.gui.beans.CrossValidationFoldMakerCustomizer
-
Set the object to be edited
- setObject(Object) - Method in class weka.gui.beans.DataVisualizerCustomizer
-
Set the model performance chart object to customize
- setObject(Object) - Method in class weka.gui.beans.FilterCustomizer
-
Set the filter bean to be edited
- setObject(Object) - Method in class weka.gui.beans.FlowByExpressionCustomizer
-
- setObject(Object) - Method in class weka.gui.beans.ImageSaverCustomizer
-
Set the ImageSaver object to customize.
- setObject(Object) - Method in class weka.gui.beans.IncrementalClassifierEvaluatorCustomizer
-
Set the object to be edited
- setObject(Object) - Method in class weka.gui.beans.JoinCustomizer
-
- setObject(Object) - Method in class weka.gui.beans.LoaderCustomizer
-
Set the loader to be customized
- setObject(Object) - Method in class weka.gui.beans.ModelPerformanceChartCustomizer
-
Set the model performance chart object to customize
- setObject(Object) - Method in class weka.gui.beans.NoteCustomizer
-
- setObject(Object) - Method in class weka.gui.beans.PredictionAppenderCustomizer
-
Set the object to be edited
- setObject(Object) - Method in class weka.gui.beans.SaverCustomizer
-
Set the saver to be customized
- setObject(Object) - Method in class weka.gui.beans.SerializedModelSaverCustomizer
-
Set the model saver to be customized
- setObject(Object) - Method in class weka.gui.beans.SorterCustomizer
-
Set the object to edit
- setObject(Object) - Method in class weka.gui.beans.StripChartCustomizer
-
Set the StripChart object to be customized
- setObject(Object) - Method in class weka.gui.beans.SubstringLabelerCustomizer
-
Set the SubstringLabeler to edit
- setObject(Object) - Method in class weka.gui.beans.SubstringReplacerCustomizer
-
Set the SubstringReplacer to edit
- setObject(Object) - Method in class weka.gui.beans.TextSaverCustomizer
-
Set the TextSaver object to customize.
- setObject(Object) - Method in class weka.gui.beans.TrainTestSplitMakerCustomizer
-
Set the TrainTestSplitMaker to be customized
- setObject(Object) - Method in class weka.gui.filters.AddUserFieldsCustomizer
-
Set the filter to edit.
- setOccurrence(BigInteger) - Method in class weka.core.pmml.jaxbbindings.Sequence
-
Sets the value of the occurrence property.
- setOccurrence(BigInteger) - Method in class weka.core.pmml.jaxbbindings.SequenceRule
-
Sets the value of the occurrence property.
- setOffDiagDefault(Double) - Method in class weka.core.pmml.jaxbbindings.Matrix
-
Sets the value of the offDiagDefault property.
- setOffDiskReportingFrequency(int) - Method in class weka.associations.FPGrowth
-
Set how often to report some progress when the data is being read
incrementally off of the disk rather than loaded into memory.
- setOffscreenAdditionalOpts(String) - Method in class weka.gui.beans.DataVisualizer
-
Set the additional options for the offscreen renderer
- setOffscreenAdditionalOpts(String) - Method in class weka.gui.beans.ModelPerformanceChart
-
Set the additional options for the offscreen renderer
- setOffscreenAdditionalOpts(String) - Method in class weka.knowledgeflow.steps.AttributeSummarizer
-
Set the additional options for the offscreen renderer
- setOffscreenAdditionalOpts(String) - Method in class weka.knowledgeflow.steps.DataVisualizer
-
Set the additional options for the offscreen renderer
- setOffscreenAdditionalOpts(String) - Method in class weka.knowledgeflow.steps.ModelPerformanceChart
-
Set the additional options for the offscreen renderer
- setOffscreenHeight(String) - Method in class weka.gui.beans.DataVisualizer
-
Set the height (in pixels) of the offscreen image to generate
- setOffscreenHeight(String) - Method in class weka.gui.beans.ModelPerformanceChart
-
Set the height (in pixels) of the offscreen image to generate
- setOffscreenHeight(String) - Method in class weka.knowledgeflow.steps.AttributeSummarizer
-
Set the height (in pixels) of the offscreen image to generate
- setOffscreenHeight(String) - Method in class weka.knowledgeflow.steps.DataVisualizer
-
Set the height (in pixels) of the offscreen image to generate
- setOffscreenHeight(String) - Method in class weka.knowledgeflow.steps.ModelPerformanceChart
-
Set the height (in pixels) of the offscreen image to generate
- setOffscreenRendererName(String) - Method in class weka.gui.beans.DataVisualizer
-
Set the name of the renderer to use for offscreen chart rendering
operations
- setOffscreenRendererName(String) - Method in class weka.gui.beans.ModelPerformanceChart
-
Set the name of the renderer to use for offscreen chart rendering
operations
- setOffscreenRendererName(String) - Method in class weka.knowledgeflow.steps.AttributeSummarizer
-
Set the name of the renderer to use for offscreen chart rendering
operations
- setOffscreenRendererName(String) - Method in class weka.knowledgeflow.steps.DataVisualizer
-
Set the name of the renderer to use for offscreen chart rendering
operations
- setOffscreenRendererName(String) - Method in class weka.knowledgeflow.steps.ModelPerformanceChart
-
Set the name of the renderer to use for offscreen chart rendering
operations
- setOffscreenWidth(String) - Method in class weka.gui.beans.DataVisualizer
-
Set the width (in pixels) of the offscreen image to generate.
- setOffscreenWidth(String) - Method in class weka.gui.beans.ModelPerformanceChart
-
Set the width (in pixels) of the offscreen image to generate.
- setOffscreenWidth(String) - Method in class weka.knowledgeflow.steps.AttributeSummarizer
-
Set the width (in pixels) of the offscreen image to generate.
- setOffscreenWidth(String) - Method in class weka.knowledgeflow.steps.DataVisualizer
-
Set the width (in pixels) of the offscreen image to generate.
- setOffscreenWidth(String) - Method in class weka.knowledgeflow.steps.ModelPerformanceChart
-
Set the width (in pixels) of the offscreen image to generate.
- setOffscreenXAxis(String) - Method in class weka.gui.beans.DataVisualizer
-
Set the name of the attribute for the x-axis in offscreen plots.
- setOffscreenXAxis(String) - Method in class weka.gui.beans.ModelPerformanceChart
-
Set the name of the attribute for the x-axis in offscreen plots.
- setOffscreenXAxis(String) - Method in class weka.knowledgeflow.steps.AttributeSummarizer
-
Set the name of the attribute for the x-axis in offscreen plots.
- setOffscreenXAxis(String) - Method in class weka.knowledgeflow.steps.DataVisualizer
-
Set the name of the attribute for the x-axis in offscreen plots.
- setOffscreenXAxis(String) - Method in class weka.knowledgeflow.steps.ModelPerformanceChart
-
Set the name of the attribute for the x-axis in offscreen plots.
- setOffscreenYAxis(String) - Method in class weka.gui.beans.DataVisualizer
-
Set the name of the attribute for the y-axis in offscreen plots.
- setOffscreenYAxis(String) - Method in class weka.gui.beans.ModelPerformanceChart
-
Set the name of the attribute for the y-axis in offscreen plots.
- setOffscreenYAxis(String) - Method in class weka.knowledgeflow.steps.DataVisualizer
-
Set the name of the attribute for the y-axis in offscreen plots.
- setOffscreenYAxis(String) - Method in class weka.knowledgeflow.steps.ModelPerformanceChart
-
Set the name of the attribute for the y-axis in offscreen plots.
- setOffset(BigInteger) - Method in class weka.core.pmml.jaxbbindings.TimeAnchor
-
Sets the value of the offset property.
- setOffsetValue(Double) - Method in class weka.core.pmml.jaxbbindings.GeneralRegressionModel
-
Sets the value of the offsetValue property.
- setOffsetVariable(String) - Method in class weka.core.pmml.jaxbbindings.GeneralRegressionModel
-
Sets the value of the offsetVariable property.
- setOkButtonText(String) - Method in class weka.gui.GenericObjectEditor.GOEPanel
-
Allows customization of the action label on the dialog.
- setOmega(double) - Method in class weka.classifiers.functions.supportVector.Puk
-
Sets the omega value.
- setOn(boolean) - Method in class weka.gui.visualize.ClassPanel
-
Enables the panel
- setOnDemandDirectory(File) - Method in class weka.classifiers.meta.CostSensitiveClassifier
-
Sets the directory that will be searched for cost files when
loading on demand.
- setOnDemandDirectory(File) - Method in class weka.experiment.CostSensitiveClassifierSplitEvaluator
-
Sets the directory that will be searched for cost files when loading on
demand.
- setOperator(String) - Method in class weka.core.pmml.jaxbbindings.SetPredicate
-
Sets the value of the operator property.
- setOperator(String) - Method in class weka.core.pmml.jaxbbindings.SimplePredicate
-
Sets the value of the operator property.
- setOperator(FlowByExpression.ExpressionClause.ExpressionType) - Method in class weka.knowledgeflow.steps.FlowByExpression.ExpressionClause
-
Set the operator
- setOptimalColumnWidth(int) - Method in class weka.gui.JTableHelper
-
sets the optimal column width for the given column
- setOptimalColumnWidth(JTable, int) - Static method in class weka.gui.JTableHelper
-
sets the optimal column width for the given column
- setOptimalColumnWidth() - Method in class weka.gui.JTableHelper
-
sets the optimal column width for all columns
- setOptimalColumnWidth(JTable) - Static method in class weka.gui.JTableHelper
-
sets the optimal column width for alls column if the given table
- setOptimalColWidth() - Method in class weka.gui.arffviewer.ArffPanel
-
calculates the optimal column width for the current column
- setOptimalColWidths() - Method in class weka.gui.arffviewer.ArffPanel
-
calculates the optimal column widths for all columns
- setOptimalColWidths() - Method in class weka.gui.arffviewer.ArffViewerMainPanel
-
sets the optimal column width for all columns
- setOptimalHeaderWidth(int) - Method in class weka.gui.JTableHelper
-
sets the optimal header width for the given column
- setOptimalHeaderWidth(JTable, int) - Static method in class weka.gui.JTableHelper
-
sets the optimal header width for the given column
- setOptimalHeaderWidth() - Method in class weka.gui.JTableHelper
-
sets the optimal header width for all columns
- setOptimalHeaderWidth(JTable) - Static method in class weka.gui.JTableHelper
-
sets the optimal header width for alls column if the given table
- setOptimizations(int) - Method in class weka.classifiers.rules.JRip
-
Sets the number of optimization runs
- setOptimumLiftGraph(OptimumLiftGraph) - Method in class weka.core.pmml.jaxbbindings.LiftData
-
Sets the value of the optimumLiftGraph property.
- setOptionHandler(OptionHandler) - Method in class weka.core.CheckOptionHandler
-
Set the OptionHandler to work on..
- setOptions(String[]) - Method in class weka.associations.AbstractAssociator
-
Parses a given list of options.
- setOptions(String[]) - Method in class weka.associations.Apriori
-
Parses a given list of options.
- setOptions(String[]) - Method in class weka.associations.CheckAssociator
-
Parses a given list of options.
- setOptions(String[]) - Method in class weka.associations.FilteredAssociator
-
Parses a given list of options.
- setOptions(String[]) - Method in class weka.associations.FPGrowth
-
Parses a given list of options.
- setOptions(String[]) - Method in class weka.associations.SingleAssociatorEnhancer
-
Parses a given list of options.
- setOptions(String[]) - Method in class weka.attributeSelection.ASEvaluation
-
Parses a given list of options.
- setOptions(String[]) - Method in class weka.attributeSelection.ASSearch
-
Parses a given list of options.
- setOptions(String[]) - Method in class weka.attributeSelection.BestFirst
-
Parses a given list of options.
- setOptions(String[]) - Method in class weka.attributeSelection.CfsSubsetEval
-
Parses and sets a given list of options.
- setOptions(String[]) - Method in class weka.attributeSelection.CheckAttributeSelection
-
Parses a given list of options.
- setOptions(String[]) - Method in class weka.attributeSelection.ClassifierAttributeEval
-
Parses a given list of options.
- setOptions(String[]) - Method in class weka.attributeSelection.ClassifierSubsetEval
-
Parses a given list of options.
- setOptions(String[]) - Method in class weka.attributeSelection.CorrelationAttributeEval
-
Parses a given list of options.
- setOptions(String[]) - Method in class weka.attributeSelection.GainRatioAttributeEval
-
Parses a given list of options.
- setOptions(String[]) - Method in class weka.attributeSelection.GreedyStepwise
-
Parses a given list of options.
- setOptions(String[]) - Method in class weka.attributeSelection.InfoGainAttributeEval
-
Parses a given list of options.
- setOptions(String[]) - Method in class weka.attributeSelection.OneRAttributeEval
-
Parses a given list of options.
- setOptions(String[]) - Method in class weka.attributeSelection.PrincipalComponents
-
Parses a given list of options.
- setOptions(String[]) - Method in class weka.attributeSelection.Ranker
-
Parses a given list of options.
- setOptions(String[]) - Method in class weka.attributeSelection.ReliefFAttributeEval
-
Parses a given list of options.
- setOptions(String[]) - Method in class weka.attributeSelection.SymmetricalUncertAttributeEval
-
Parses a given list of options.
- setOptions(String[]) - Method in class weka.attributeSelection.WrapperSubsetEval
-
Parses a given list of options.
- setOptions(String[]) - Method in class weka.classifiers.AbstractClassifier
-
Parses a given list of options.
- setOptions(String[]) - Method in class weka.classifiers.bayes.BayesNet
-
Parses a given list of options.
- setOptions(String[]) - Method in class weka.classifiers.bayes.NaiveBayes
-
Parses a given list of options.
- setOptions(String[]) - Method in class weka.classifiers.bayes.NaiveBayesMultinomialText
-
Parses a given list of options.
- setOptions(String[]) - Method in class weka.classifiers.bayes.net.BayesNetGenerator
-
Parses a given list of options.
- setOptions(String[]) - Method in class weka.classifiers.bayes.net.estimate.BayesNetEstimator
-
Parses a given list of options.
- setOptions(String[]) - Method in class weka.classifiers.bayes.net.estimate.BMAEstimator
-
Parses a given list of options.
- setOptions(String[]) - Method in class weka.classifiers.bayes.net.estimate.MultiNomialBMAEstimator
-
Parses a given list of options.
- setOptions(String[]) - Method in class weka.classifiers.bayes.net.search.ci.ICSSearchAlgorithm
-
Parses a given list of options.
- setOptions(String[]) - Method in class weka.classifiers.bayes.net.search.fixed.FromFile
-
Parses a given list of options.
- setOptions(String[]) - Method in class weka.classifiers.bayes.net.search.global.GeneticSearch
-
Parses a given list of options.
- setOptions(String[]) - Method in class weka.classifiers.bayes.net.search.global.GlobalScoreSearchAlgorithm
-
Parses a given list of options.
- setOptions(String[]) - Method in class weka.classifiers.bayes.net.search.global.HillClimber
-
Parses a given list of options.
- setOptions(String[]) - Method in class weka.classifiers.bayes.net.search.global.K2
-
Parses a given list of options.
- setOptions(String[]) - Method in class weka.classifiers.bayes.net.search.global.RepeatedHillClimber
-
Parses a given list of options.
- setOptions(String[]) - Method in class weka.classifiers.bayes.net.search.global.SimulatedAnnealing
-
Parses a given list of options.
- setOptions(String[]) - Method in class weka.classifiers.bayes.net.search.global.TabuSearch
-
Parses a given list of options.
- setOptions(String[]) - Method in class weka.classifiers.bayes.net.search.global.TAN
-
Parses a given list of options.
- setOptions(String[]) - Method in class weka.classifiers.bayes.net.search.local.GeneticSearch
-
Parses a given list of options.
- setOptions(String[]) - Method in class weka.classifiers.bayes.net.search.local.HillClimber
-
Parses a given list of options.
- setOptions(String[]) - Method in class weka.classifiers.bayes.net.search.local.K2
-
Parses a given list of options.
- setOptions(String[]) - Method in class weka.classifiers.bayes.net.search.local.LAGDHillClimber
-
Parses a given list of options.
- setOptions(String[]) - Method in class weka.classifiers.bayes.net.search.local.LocalScoreSearchAlgorithm
-
Parses a given list of options.
- setOptions(String[]) - Method in class weka.classifiers.bayes.net.search.local.RepeatedHillClimber
-
Parses a given list of options.
- setOptions(String[]) - Method in class weka.classifiers.bayes.net.search.local.SimulatedAnnealing
-
Parses a given list of options.
- setOptions(String[]) - Method in class weka.classifiers.bayes.net.search.local.TabuSearch
-
Parses a given list of options.
- setOptions(String[]) - Method in class weka.classifiers.bayes.net.search.local.TAN
-
Parses a given list of options.
- setOptions(String[]) - Method in class weka.classifiers.bayes.net.search.SearchAlgorithm
-
Parses a given list of options.
- setOptions(String[]) - Method in class weka.classifiers.BVDecompose
-
Parses a given list of options.
- setOptions(String[]) - Method in class weka.classifiers.BVDecomposeSegCVSub
-
Sets the OptionHandler's options using the given list.
- setOptions(String[]) - Method in class weka.classifiers.CheckClassifier
-
Parses a given list of options.
- setOptions(String[]) - Method in class weka.classifiers.CheckSource
-
Parses a given list of options.
- setOptions(String[]) - Method in class weka.classifiers.evaluation.output.prediction.AbstractOutput
-
Sets the OptionHandler's options using the given list.
- setOptions(String[]) - Method in class weka.classifiers.evaluation.output.prediction.CSV
-
Sets the OptionHandler's options using the given list.
- setOptions(String[]) - Method in class weka.classifiers.functions.GaussianProcesses
-
Parses a given list of options.
- setOptions(String[]) - Method in class weka.classifiers.functions.LinearRegression
-
Parses a given list of options.
- setOptions(String[]) - Method in class weka.classifiers.functions.Logistic
-
Parses a given list of options.
- setOptions(String[]) - Method in class weka.classifiers.functions.MultilayerPerceptron
-
Parses a given list of options.
- setOptions(String[]) - Method in class weka.classifiers.functions.SGD
-
Parses a given list of options.
- setOptions(String[]) - Method in class weka.classifiers.functions.SGDText
-
Parses a given list of options.
- setOptions(String[]) - Method in class weka.classifiers.functions.SimpleLinearRegression
-
Parses a given list of options.
- setOptions(String[]) - Method in class weka.classifiers.functions.SimpleLogistic
-
Parses a given list of options.
- setOptions(String[]) - Method in class weka.classifiers.functions.SMO
-
Parses a given list of options.
- setOptions(String[]) - Method in class weka.classifiers.functions.SMOreg
-
Parses a given list of options.
- setOptions(String[]) - Method in class weka.classifiers.functions.supportVector.CachedKernel
-
Parses a given list of options.
- setOptions(String[]) - Method in class weka.classifiers.functions.supportVector.CheckKernel
-
Parses a given list of options.
- setOptions(String[]) - Method in class weka.classifiers.functions.supportVector.Kernel
-
Parses a given list of options.
- setOptions(String[]) - Method in class weka.classifiers.functions.supportVector.PolyKernel
-
Parses a given list of options.
- setOptions(String[]) - Method in class weka.classifiers.functions.supportVector.PrecomputedKernelMatrixKernel
-
Parses a given list of options.
- setOptions(String[]) - Method in class weka.classifiers.functions.supportVector.Puk
-
Parses a given list of options.
- setOptions(String[]) - Method in class weka.classifiers.functions.supportVector.RegOptimizer
-
Parses a given list of options.
- setOptions(String[]) - Method in class weka.classifiers.functions.supportVector.RegSMO
-
Parses a given list of options.
- setOptions(String[]) - Method in class weka.classifiers.functions.supportVector.RegSMOImproved
-
Parses a given list of options.
- setOptions(String[]) - Method in class weka.classifiers.functions.supportVector.StringKernel
-
Parses a given list of options.
- setOptions(String[]) - Method in class weka.classifiers.functions.VotedPerceptron
-
Parses a given list of options.
- setOptions(String[]) - Method in class weka.classifiers.IteratedSingleClassifierEnhancer
-
Parses a given list of options.
- setOptions(String[]) - Method in class weka.classifiers.lazy.IBk
-
Parses a given list of options.
- setOptions(int, int, int) - Method in class weka.classifiers.lazy.kstar.KStarNominalAttribute
-
Sets the options.
- setOptions(int, int, int) - Method in class weka.classifiers.lazy.kstar.KStarNumericAttribute
-
Set options.
- setOptions(String[]) - Method in class weka.classifiers.lazy.KStar
-
Parses a given list of options.
- setOptions(String[]) - Method in class weka.classifiers.lazy.LWL
-
Parses a given list of options.
- setOptions(String[]) - Method in class weka.classifiers.meta.AdaBoostM1
-
Parses a given list of options.
- setOptions(String[]) - Method in class weka.classifiers.meta.AdditiveRegression
-
Parses a given list of options.
- setOptions(String[]) - Method in class weka.classifiers.meta.AttributeSelectedClassifier
-
Parses a given list of options.
- setOptions(String[]) - Method in class weka.classifiers.meta.Bagging
-
Parses a given list of options.
- setOptions(String[]) - Method in class weka.classifiers.meta.CostSensitiveClassifier
-
Parses a given list of options.
- setOptions(String[]) - Method in class weka.classifiers.meta.CVParameterSelection
-
Parses a given list of options.
- setOptions(String[]) - Method in class weka.classifiers.meta.FilteredClassifier
-
Parses a given list of options.
- setOptions(String[]) - Method in class weka.classifiers.meta.IterativeClassifierOptimizer
-
Parses a given list of options.
- setOptions(String[]) - Method in class weka.classifiers.meta.LogitBoost
-
Parses a given list of options.
- setOptions(String[]) - Method in class weka.classifiers.meta.MultiClassClassifier
-
Parses a given list of options.
- setOptions(String[]) - Method in class weka.classifiers.meta.MultiScheme
-
Parses a given list of options.
- setOptions(String[]) - Method in class weka.classifiers.meta.RandomSubSpace
-
Parses a given list of options.
- setOptions(String[]) - Method in class weka.classifiers.meta.RegressionByDiscretization
-
Parses a given list of options.
- setOptions(String[]) - Method in class weka.classifiers.meta.Stacking
-
Parses a given list of options.
- setOptions(String[]) - Method in class weka.classifiers.meta.Vote
-
Parses a given list of options.
- setOptions(String[]) - Method in class weka.classifiers.meta.WeightedInstancesHandlerWrapper
-
Parses a given list of options.
- setOptions(String[]) - Method in class weka.classifiers.misc.InputMappedClassifier
-
Parses a given list of options.
- setOptions(String[]) - Method in class weka.classifiers.misc.SerializedClassifier
-
Parses the options for this object.
- setOptions(String[]) - Method in class weka.classifiers.MultipleClassifiersCombiner
-
Parses a given list of options.
- setOptions(String[]) - Method in class weka.classifiers.ParallelIteratedSingleClassifierEnhancer
-
Parses a given list of options.
- setOptions(String[]) - Method in class weka.classifiers.ParallelMultipleClassifiersCombiner
-
Parses a given list of options.
- setOptions(String[]) - Method in class weka.classifiers.RandomizableClassifier
-
Parses a given list of options.
- setOptions(String[]) - Method in class weka.classifiers.RandomizableIteratedSingleClassifierEnhancer
-
Parses a given list of options.
- setOptions(String[]) - Method in class weka.classifiers.RandomizableMultipleClassifiersCombiner
-
Parses a given list of options.
- setOptions(String[]) - Method in class weka.classifiers.RandomizableParallelIteratedSingleClassifierEnhancer
-
Parses a given list of options.
- setOptions(String[]) - Method in class weka.classifiers.RandomizableParallelMultipleClassifiersCombiner
-
Parses a given list of options.
- setOptions(String[]) - Method in class weka.classifiers.RandomizableSingleClassifierEnhancer
-
Parses a given list of options.
- setOptions(String[]) - Method in class weka.classifiers.rules.DecisionTable
-
Parses the options for this object.
- setOptions(String[]) - Method in class weka.classifiers.rules.JRip
-
Parses a given list of options.
- setOptions(String[]) - Method in class weka.classifiers.rules.OneR
-
Parses a given list of options.
- setOptions(String[]) - Method in class weka.classifiers.rules.PART
-
Parses a given list of options.
- setOptions(String[]) - Method in class weka.classifiers.SingleClassifierEnhancer
-
Parses a given list of options.
- setOptions(String[]) - Method in class weka.classifiers.trees.HoeffdingTree
-
Parses a given list of options.
- setOptions(String[]) - Method in class weka.classifiers.trees.J48
-
Parses a given list of options.
- setOptions(String[]) - Method in class weka.classifiers.trees.LMT
-
Parses a given list of options.
- setOptions(String[]) - Method in class weka.classifiers.trees.m5.M5Base
-
Parses a given list of options.
- setOptions(String[]) - Method in class weka.classifiers.trees.M5P
-
Parses a given list of options.
- setOptions(String[]) - Method in class weka.classifiers.trees.RandomForest
-
Parses a given list of options.
- setOptions(String[]) - Method in class weka.classifiers.trees.RandomTree
-
Parses a given list of options.
- setOptions(String[]) - Method in class weka.classifiers.trees.REPTree
-
Parses a given list of options.
- setOptions(String[]) - Method in class weka.clusterers.AbstractClusterer
-
Parses a given list of options.
- setOptions(String[]) - Method in class weka.clusterers.Canopy
-
Parses a given list of options.
- setOptions(String[]) - Method in class weka.clusterers.CheckClusterer
-
Parses a given list of options.
- setOptions(String[]) - Method in class weka.clusterers.Cobweb
-
Parses a given list of options.
- setOptions(String[]) - Method in class weka.clusterers.EM
-
Parses a given list of options.
- setOptions(String[]) - Method in class weka.clusterers.FarthestFirst
-
Parses a given list of options.
- setOptions(String[]) - Method in class weka.clusterers.FilteredClusterer
-
Parses a given list of options.
- setOptions(String[]) - Method in class weka.clusterers.HierarchicalClusterer
-
Parses a given list of options.
- setOptions(String[]) - Method in class weka.clusterers.MakeDensityBasedClusterer
-
Parses a given list of options.
- setOptions(String[]) - Method in class weka.clusterers.RandomizableClusterer
-
Parses a given list of options.
- setOptions(String[]) - Method in class weka.clusterers.RandomizableDensityBasedClusterer
-
Parses a given list of options.
- setOptions(String[]) - Method in class weka.clusterers.RandomizableSingleClustererEnhancer
-
Parses a given list of options.
- setOptions(String[]) - Method in class weka.clusterers.SimpleKMeans
-
Parses a given list of options.
- setOptions(String[]) - Method in class weka.clusterers.SingleClustererEnhancer
-
Parses a given list of options.
- setOptions(String[]) - Method in class weka.core.Check
-
Parses a given list of options.
- setOptions(String[]) - Method in class weka.core.CheckGOE
-
Parses a given list of options.
- setOptions(String[]) - Method in class weka.core.CheckOptionHandler
-
Parses a given list of options.
- setOptions(String[]) - Method in class weka.core.CheckScheme
-
Parses a given list of options.
- setOptions(String[]) - Method in class weka.core.converters.AbstractFileSaver
-
Parses a given list of options.
- setOptions(String[]) - Method in class weka.core.converters.ArffSaver
-
Parses the options for this object.
- setOptions(String[]) - Method in class weka.core.converters.C45Saver
-
Parses a given list of options.
- setOptions(String[]) - Method in class weka.core.converters.CSVLoader
-
- setOptions(String[]) - Method in class weka.core.converters.CSVSaver
-
- setOptions(String[]) - Method in class weka.core.converters.DatabaseLoader
-
Sets the options.
- setOptions(String[]) - Method in class weka.core.converters.DatabaseSaver
-
Sets the options.
- setOptions(String[]) - Method in class weka.core.converters.JSONSaver
-
Parses the options for this object.
- setOptions(String[]) - Method in class weka.core.converters.LibSVMSaver
-
Parses the options for this object.
- setOptions(String[]) - Method in class weka.core.converters.MatlabSaver
-
Parses the options for this object.
- setOptions(String[]) - Method in class weka.core.converters.SVMLightSaver
-
Parses the options for this object.
- setOptions(String[]) - Method in class weka.core.converters.TextDirectoryLoader
-
Parses a given list of options.
- setOptions(String[]) - Method in class weka.core.converters.XRFFSaver
-
Parses the options for this object.
- setOptions(String[]) - Method in class weka.core.DictionaryBuilder
-
Parses a given list of options.
- setOptions(String[]) - Method in class weka.core.FilteredDistance
-
Parses a given list of options.
- setOptions(String[]) - Method in class weka.core.FindWithCapabilities
-
Parses a given list of options.
- setOptions(String[]) - Method in class weka.core.Javadoc
-
Parses a given list of options.
- setOptions(String[]) - Method in class weka.core.ListOptions
-
Parses a given list of options.
- setOptions(String[]) - Method in class weka.core.MinkowskiDistance
-
Parses a given list of options.
- setOptions(String[]) - Method in class weka.core.neighboursearch.BallTree
-
Parses a given list of options.
- setOptions(String[]) - Method in class weka.core.neighboursearch.balltrees.BallSplitter
-
Parses a given list of options.
- setOptions(String[]) - Method in class weka.core.neighboursearch.balltrees.BallTreeConstructor
-
Parses a given list of options.
- setOptions(String[]) - Method in class weka.core.neighboursearch.balltrees.MedianDistanceFromArbitraryPoint
-
Parses a given list of options.
- setOptions(String[]) - Method in class weka.core.neighboursearch.balltrees.MedianOfWidestDimension
-
Parses a given list of options.
- setOptions(String[]) - Method in class weka.core.neighboursearch.balltrees.MiddleOutConstructor
-
Parses a given list of options.
- setOptions(String[]) - Method in class weka.core.neighboursearch.balltrees.TopDownConstructor
-
Parses a given list of options.
- setOptions(String[]) - Method in class weka.core.neighboursearch.CoverTree
-
Parses a given list of options.
- setOptions(String[]) - Method in class weka.core.neighboursearch.FilteredNeighbourSearch
-
Parses a given list of options.
- setOptions(String[]) - Method in class weka.core.neighboursearch.KDTree
-
Parses a given list of options.
- setOptions(String[]) - Method in class weka.core.neighboursearch.kdtrees.KDTreeNodeSplitter
-
Parses a given list of options.
- setOptions(String[]) - Method in class weka.core.neighboursearch.LinearNNSearch
-
Parses a given list of options.
- setOptions(String[]) - Method in class weka.core.neighboursearch.NearestNeighbourSearch
-
Parses a given list of options.
- setOptions(String[]) - Method in class weka.core.NormalizableDistance
-
Parses a given list of options.
- setOptions(String[], Object, Class<?>) - Static method in class weka.core.Option
-
Sets options on the target object.
- setOptions(String[]) - Method in interface weka.core.OptionHandler
-
Sets the OptionHandler's options using the given list.
- setOptions(String[]) - Method in class weka.core.OptionHandlerJavadoc
-
Parses a given list of options.
- setOptions(String[]) - Method in class weka.core.stemmers.SnowballStemmer
-
Parses the options.
- setOptions(String[]) - Method in class weka.core.stopwords.AbstractFileBasedStopwords
-
Parses a given list of options.
- setOptions(String[]) - Method in class weka.core.stopwords.AbstractStopwords
-
Parses a given list of options.
- setOptions(String[]) - Method in class weka.core.stopwords.MultiStopwords
-
Parses a given list of options.
- setOptions(String[]) - Method in class weka.core.TechnicalInformationHandlerJavadoc
-
Parses a given list of options.
- setOptions(String[]) - Method in class weka.core.TestInstances
-
Parses a given list of options.
- setOptions(String[]) - Method in class weka.core.tokenizers.CharacterDelimitedTokenizer
-
Sets the OptionHandler's options using the given list.
- setOptions(String[]) - Method in class weka.core.tokenizers.CharacterNGramTokenizer
-
Parses a given list of options.
- setOptions(String[]) - Method in class weka.core.tokenizers.NGramTokenizer
-
Parses a given list of options.
- setOptions(String[]) - Method in class weka.core.tokenizers.Tokenizer
-
Sets the OptionHandler's options using the given list.
- setOptions(String[]) - Method in class weka.datagenerators.ClassificationGenerator
-
Sets the options.
- setOptions(String[]) - Method in class weka.datagenerators.classifiers.classification.Agrawal
-
Parses a list of options for this object.
- setOptions(String[]) - Method in class weka.datagenerators.classifiers.classification.BayesNet
-
Parses a list of options for this object.
- setOptions(String[]) - Method in class weka.datagenerators.classifiers.classification.LED24
-
Parses a list of options for this object.
- setOptions(String[]) - Method in class weka.datagenerators.classifiers.classification.RandomRBF
-
Parses a list of options for this object.
- setOptions(String[]) - Method in class weka.datagenerators.classifiers.classification.RDG1
-
Parses a list of options for this object.
- setOptions(String[]) - Method in class weka.datagenerators.classifiers.regression.Expression
-
Parses a list of options for this object.
- setOptions(String[]) - Method in class weka.datagenerators.classifiers.regression.MexicanHat
-
Parses a list of options for this object.
- setOptions(String[]) - Method in class weka.datagenerators.clusterers.BIRCHCluster
-
Parses a list of options for this object.
- setOptions(String[]) - Method in class weka.datagenerators.clusterers.SubspaceCluster
-
Parses a list of options for this object.
- setOptions(String[]) - Method in class weka.datagenerators.clusterers.SubspaceClusterDefinition
-
Parses a list of options for this object.
- setOptions(String[]) - Method in class weka.datagenerators.ClusterGenerator
-
Sets the options.
- setOptions(String[]) - Method in class weka.datagenerators.DataGenerator
-
Parses a list of options for this object.
- setOptions(String[]) - Method in class weka.datagenerators.RegressionGenerator
-
Sets the options.
- setOptions(String[]) - Method in class weka.estimators.CheckEstimator
-
Parses a given list of options.
- setOptions(String[]) - Method in class weka.estimators.Estimator
-
Parses a given list of options.
- setOptions(String[]) - Method in class weka.estimators.UnivariateMixtureEstimator
-
Sets options based on the given array of strings.
- setOptions(String[]) - Method in class weka.experiment.AveragingResultProducer
-
Parses a given list of options.
- setOptions(String[]) - Method in class weka.experiment.ClassifierSplitEvaluator
-
Parses a given list of options.
- setOptions(String[]) - Method in class weka.experiment.CostSensitiveClassifierSplitEvaluator
-
Parses a given list of options.
- setOptions(String[]) - Method in class weka.experiment.CrossValidationResultProducer
-
Parses a given list of options.
- setOptions(String[]) - Method in class weka.experiment.CSVResultListener
-
Parses a given list of options.
- setOptions(String[]) - Method in class weka.experiment.DatabaseResultProducer
-
Parses a given list of options.
- setOptions(String[]) - Method in class weka.experiment.DensityBasedClustererSplitEvaluator
-
Parses a given list of options.
- setOptions(String[]) - Method in class weka.experiment.Experiment
-
Parses a given list of options.
- setOptions(String[]) - Method in class weka.experiment.ExplicitTestsetResultProducer
-
Parses a given list of options.
- setOptions(String[]) - Method in class weka.experiment.InstanceQuery
-
Parses a given list of options.
- setOptions(String[]) - Method in class weka.experiment.LearningRateResultProducer
-
Parses a given list of options.
- setOptions(String[]) - Method in class weka.experiment.PairedTTester
-
Parses a given list of options.
- setOptions(String[]) - Method in class weka.experiment.RandomSplitResultProducer
-
Parses a given list of options.
- setOptions(String[]) - Method in class weka.experiment.RegressionSplitEvaluator
-
Parses a given list of options.
- setOptions(String[]) - Method in class weka.experiment.ResultMatrix
-
Sets the OptionHandler's options using the given list.
- setOptions(String[]) - Method in class weka.filters.CheckSource
-
Parses a given list of options.
- setOptions(String[]) - Method in class weka.filters.Filter
-
Parses a given list of options.
- setOptions(String[]) - Method in class weka.filters.MultiFilter
-
Parses a list of options for this object.
- setOptions(String[]) - Method in class weka.filters.supervised.attribute.AddClassification
-
Parses the options for this object.
- setOptions(String[]) - Method in class weka.filters.supervised.attribute.AttributeSelection
-
Parses a given list of options.
- setOptions(String[]) - Method in class weka.filters.supervised.attribute.ClassOrder
-
Parses a given list of options.
- setOptions(String[]) - Method in class weka.filters.supervised.attribute.Discretize
-
Parses a given list of options.
- setOptions(String[]) - Method in class weka.filters.supervised.attribute.MergeNominalValues
-
Parses a given list of options.
- setOptions(String[]) - Method in class weka.filters.supervised.attribute.NominalToBinary
-
Parses a given list of options.
- setOptions(String[]) - Method in class weka.filters.supervised.attribute.PartitionMembership
-
Parses a given list of options.
- setOptions(String[]) - Method in class weka.filters.supervised.instance.Resample
-
Parses a given list of options.
- setOptions(String[]) - Method in class weka.filters.supervised.instance.SpreadSubsample
-
Parses a given list of options.
- setOptions(String[]) - Method in class weka.filters.supervised.instance.StratifiedRemoveFolds
-
Parses a given list of options.
- setOptions(String[]) - Method in class weka.filters.unsupervised.attribute.AbstractTimeSeries
-
Parses a given list of options controlling the behaviour of this object.
- setOptions(String[]) - Method in class weka.filters.unsupervised.attribute.Add
-
Parses a given list of options.
- setOptions(String[]) - Method in class weka.filters.unsupervised.attribute.AddCluster
-
Parses a given list of options.
- setOptions(String[]) - Method in class weka.filters.unsupervised.attribute.AddExpression
-
Parses a given list of options.
- setOptions(String[]) - Method in class weka.filters.unsupervised.attribute.AddID
-
Parses a given list of options.
- setOptions(String[]) - Method in class weka.filters.unsupervised.attribute.AddNoise
-
Parses a given list of options.
- setOptions(String[]) - Method in class weka.filters.unsupervised.attribute.AddUserFields
-
Parses a given list of options.
- setOptions(String[]) - Method in class weka.filters.unsupervised.attribute.AddValues
-
Parses a given list of options.
- setOptions(String[]) - Method in class weka.filters.unsupervised.attribute.CartesianProduct
-
Parses a list of options for this object.
- setOptions(String[]) - Method in class weka.filters.unsupervised.attribute.ChangeDateFormat
-
Parses a given list of options.
- setOptions(String[]) - Method in class weka.filters.unsupervised.attribute.ClassAssigner
-
Parses a list of options for this object.
- setOptions(String[]) - Method in class weka.filters.unsupervised.attribute.ClusterMembership
-
Parses a given list of options.
- setOptions(String[]) - Method in class weka.filters.unsupervised.attribute.Copy
-
Parses a given list of options.
- setOptions(String[]) - Method in class weka.filters.unsupervised.attribute.DateToNumeric
-
Parses a given list of options.
- setOptions(String[]) - Method in class weka.filters.unsupervised.attribute.Discretize
-
Parses a given list of options.
- setOptions(String[]) - Method in class weka.filters.unsupervised.attribute.FirstOrder
-
Parses a given list of options.
- setOptions(String[]) - Method in class weka.filters.unsupervised.attribute.InterquartileRange
-
Parses a list of options for this object.
- setOptions(String[]) - Method in class weka.filters.unsupervised.attribute.KernelFilter
-
Parses a given list of options.
- setOptions(String[]) - Method in class weka.filters.unsupervised.attribute.MakeIndicator
-
Parses a given list of options.
- setOptions(String[]) - Method in class weka.filters.unsupervised.attribute.MathExpression
-
Parses a given list of options.
- setOptions(String[]) - Method in class weka.filters.unsupervised.attribute.MergeInfrequentNominalValues
-
Parses a given list of options.
- setOptions(String[]) - Method in class weka.filters.unsupervised.attribute.MergeManyValues
-
Parses a given list of options.
- setOptions(String[]) - Method in class weka.filters.unsupervised.attribute.MergeTwoValues
-
Parses a given list of options.
- setOptions(String[]) - Method in class weka.filters.unsupervised.attribute.NominalToBinary
-
Parses a given list of options.
- setOptions(String[]) - Method in class weka.filters.unsupervised.attribute.NominalToString
-
Parses a given list of options.
- setOptions(String[]) - Method in class weka.filters.unsupervised.attribute.Normalize
-
Parses a given list of options.
- setOptions(String[]) - Method in class weka.filters.unsupervised.attribute.NumericCleaner
-
Parses a given list of options.
- setOptions(String[]) - Method in class weka.filters.unsupervised.attribute.NumericToBinary
-
Parses a given list of options.
- setOptions(String[]) - Method in class weka.filters.unsupervised.attribute.NumericToDate
-
Parses a given list of options.
- setOptions(String[]) - Method in class weka.filters.unsupervised.attribute.NumericToNominal
-
Parses a given list of options.
- setOptions(String[]) - Method in class weka.filters.unsupervised.attribute.NumericTransform
-
Parses a given list of options.
- setOptions(String[]) - Method in class weka.filters.unsupervised.attribute.OrdinalToNumeric
-
Parses a list of options for this object.
- setOptions(String[]) - Method in class weka.filters.unsupervised.attribute.PartitionedMultiFilter
-
Parses a list of options for this object.
- setOptions(String[]) - Method in class weka.filters.unsupervised.attribute.PKIDiscretize
-
Parses a given list of options.
- setOptions(String[]) - Method in class weka.filters.unsupervised.attribute.PotentialClassIgnorer
-
Parses a list of options for this object.
- setOptions(String[]) - Method in class weka.filters.unsupervised.attribute.PrincipalComponents
-
Parses a list of options for this object.
- setOptions(String[]) - Method in class weka.filters.unsupervised.attribute.RandomProjection
-
Parses a given list of options.
- setOptions(String[]) - Method in class weka.filters.unsupervised.attribute.RandomSubset
-
Parses a given list of options.
- setOptions(String[]) - Method in class weka.filters.unsupervised.attribute.Remove
-
Parses a given list of options.
- setOptions(String[]) - Method in class weka.filters.unsupervised.attribute.RemoveByName
-
Parses the options for this object.
- setOptions(String[]) - Method in class weka.filters.unsupervised.attribute.RemoveType
-
Parses a given list of options.
- setOptions(String[]) - Method in class weka.filters.unsupervised.attribute.RemoveUseless
-
Parses a given list of options.
- setOptions(String[]) - Method in class weka.filters.unsupervised.attribute.RenameAttribute
-
Parses a given list of options.
- setOptions(String[]) - Method in class weka.filters.unsupervised.attribute.RenameNominalValues
-
Parses a given list of options.
- setOptions(String[]) - Method in class weka.filters.unsupervised.attribute.Reorder
-
Parses a given list of options.
- setOptions(String[]) - Method in class weka.filters.unsupervised.attribute.ReplaceMissingWithUserConstant
-
Parses a given list of options.
- setOptions(String[]) - Method in class weka.filters.unsupervised.attribute.ReplaceWithMissingValue
-
Parses a given list of options.
- setOptions(String[]) - Method in class weka.filters.unsupervised.attribute.SortLabels
-
Parses the options for this object.
- setOptions(String[]) - Method in class weka.filters.unsupervised.attribute.StringToNominal
-
Parses a given list of options.
- setOptions(String[]) - Method in class weka.filters.unsupervised.attribute.StringToWordVector
-
Parses a given list of options.
- setOptions(String[]) - Method in class weka.filters.unsupervised.attribute.SwapValues
-
Parses a given list of options.
- setOptions(String[]) - Method in class weka.filters.unsupervised.instance.NonSparseToSparse
-
- setOptions(String[]) - Method in class weka.filters.unsupervised.instance.Randomize
-
Parses a given list of options.
- setOptions(String[]) - Method in class weka.filters.unsupervised.instance.RemoveFolds
-
Parses a given list of options.
- setOptions(String[]) - Method in class weka.filters.unsupervised.instance.RemoveFrequentValues
-
Parses a given list of options.
- setOptions(String[]) - Method in class weka.filters.unsupervised.instance.RemoveMisclassified
-
Parses a given list of options.
- setOptions(String[]) - Method in class weka.filters.unsupervised.instance.RemovePercentage
-
Parses a given list of options.
- setOptions(String[]) - Method in class weka.filters.unsupervised.instance.RemoveRange
-
Parses a given list of options.
- setOptions(String[]) - Method in class weka.filters.unsupervised.instance.RemoveWithValues
-
Parses a given list of options.
- setOptions(String[]) - Method in class weka.filters.unsupervised.instance.Resample
-
Parses a given list of options.
- setOptions(String[]) - Method in class weka.filters.unsupervised.instance.ReservoirSample
-
Parses a given list of options.
- setOptions(String[]) - Method in class weka.filters.unsupervised.instance.SubsetByExpression
-
Parses a given list of options.
- setOptions(String[]) - Method in class weka.gui.explorer.AbstractPlotInstances
-
Sets the OptionHandler's options using the given list.
- setOptions(String[]) - Method in class weka.gui.Main
-
Parses the options for this object.
- setOptions(String[]) - Method in class weka.gui.scripting.Script
-
Parses a given list of options.
- setOptionsForHierarchy(String[], Object, Class<?>) - Static method in class weka.core.Option
-
Sets options on the target object.
- setOptype(OPTYPE) - Method in class weka.core.pmml.jaxbbindings.DataField
-
Sets the value of the optype property.
- setOptype(OPTYPE) - Method in class weka.core.pmml.jaxbbindings.DefineFunction
-
Sets the value of the optype property.
- setOptype(OPTYPE) - Method in class weka.core.pmml.jaxbbindings.DerivedField
-
Sets the value of the optype property.
- setOptype(OPTYPE) - Method in class weka.core.pmml.jaxbbindings.MiningField
-
Sets the value of the optype property.
- setOptype(OPTYPE) - Method in class weka.core.pmml.jaxbbindings.OutputField
-
Sets the value of the optype property.
- setOptype(OPTYPE) - Method in class weka.core.pmml.jaxbbindings.ParameterField
-
Sets the value of the optype property.
- setOptype(OPTYPE) - Method in class weka.core.pmml.jaxbbindings.ResultField
-
Sets the value of the optype property.
- setOptype(OPTYPE) - Method in class weka.core.pmml.jaxbbindings.Target
-
Sets the value of the optype property.
- setOrder(double) - Method in class weka.core.MinkowskiDistance
-
Sets the order.
- setOrig(double) - Method in class weka.core.pmml.jaxbbindings.LinearNorm
-
Sets the value of the orig property.
- setOriginalCoords(Vector<Point>) - Method in class weka.gui.beans.MetaBean
-
sets the vector containing the original coordinates (instances of class
Point) for the inputs
- setOutlierFactor(double) - Method in class weka.filters.unsupervised.attribute.InterquartileRange
-
Sets the factor for determining the thresholds for outliers.
- setOutliers(OUTLIERTREATMENTMETHOD) - Method in class weka.core.pmml.jaxbbindings.MiningField
-
Sets the value of the outliers property.
- setOutliers(OUTLIERTREATMENTMETHOD) - Method in class weka.core.pmml.jaxbbindings.NormContinuous
-
Sets the value of the outliers property.
- setOutput(Output) - Method in class weka.core.pmml.jaxbbindings.DecisionTree
-
Sets the value of the output property.
- setOutput(Output) - Method in class weka.core.pmml.jaxbbindings.Regression
-
Sets the value of the output property.
- setOutput(PrintWriter) - Method in class weka.datagenerators.DataGenerator
-
Sets the print writer.
- setOutputAdditionalStats(boolean) - Method in class weka.classifiers.functions.LinearRegression
-
Set whether to output additional statistics (such as std.
- setOutputAdditionalStats(boolean) - Method in class weka.classifiers.functions.SimpleLinearRegression
-
Set whether to output additional statistics (such as std.
- setOutputClassification(boolean) - Method in class weka.filters.supervised.attribute.AddClassification
-
Set whether the classification of the classifier is output.
- setOutputColumn(String) - Method in class weka.core.pmml.jaxbbindings.MapValues
-
Sets the value of the outputColumn property.
- setOutputConfusionMatrix(boolean) - Method in class weka.knowledgeflow.steps.ClassifierPerformanceEvaluator
-
- setOutputDetailedInfo(boolean) - Method in class weka.attributeSelection.CorrelationAttributeEval
-
Set whether to output per-value correlation for nominal attributes
- setOutputDirectory(File) - Method in class weka.knowledgeflow.steps.SerializedModelSaver
-
Set the directory to save to
- setOutputDistribution(boolean) - Method in class weka.classifiers.evaluation.output.prediction.AbstractOutput
-
Sets whether to output the class distribution or not.
- setOutputDistribution(boolean) - Method in class weka.filters.supervised.attribute.AddClassification
-
Set whether the Distribution of the classifier is output.
- setOutputEntropyMetrics(boolean) - Method in class weka.knowledgeflow.steps.ClassifierPerformanceEvaluator
-
- setOutputErrorFlag(boolean) - Method in class weka.filters.supervised.attribute.AddClassification
-
Set whether the classification of the classifier is output.
- setOutputFile(File) - Method in class weka.classifiers.evaluation.output.prediction.AbstractOutput
-
Sets the output file to write to.
- setOutputFile(File) - Method in class weka.classifiers.evaluation.output.prediction.InMemory
-
Ignored, as it does not generate any output.
- setOutputFile(File) - Method in class weka.experiment.CrossValidationResultProducer
-
Set the value of OutputFile.
- setOutputFile(File) - Method in class weka.experiment.CSVResultListener
-
Set the value of OutputFile.
- setOutputFile(File) - Method in class weka.experiment.ExplicitTestsetResultProducer
-
Set the value of OutputFile.
- setOutputFile(File) - Method in class weka.experiment.RandomSplitResultProducer
-
Set the value of OutputFile.
- setOutputFilename(boolean) - Method in class weka.core.converters.TextDirectoryLoader
-
Sets whether the filename will be stored as an extra attribute.
- setOutputFileName(String) - Method in class weka.experiment.CSVResultListener
-
Set the value of OutputFileName.
- setOutputFilename(String) - Method in class weka.gui.GenericPropertiesCreator
-
sets the file to output the properties for the GEO to
- setOutputFormat(int) - Method in class weka.core.Debug.Clock
-
sets the format of the output
- setOutputFormatFromDialog() - Method in class weka.gui.experiment.ResultsPanel
-
displays the Dialog for the output format and sets the chosen settings, if
the user approves.
- setOutputItemSets(boolean) - Method in class weka.associations.Apriori
-
Sets whether itemsets are output as well
- setOutputNeuron(String) - Method in class weka.core.pmml.jaxbbindings.NeuralOutput
-
Sets the value of the outputNeuron property.
- setOutputOffsetMultiplier(boolean) - Method in class weka.filters.unsupervised.attribute.InterquartileRange
-
Set whether an additional attribute "Offset" is generated per
Outlier/ExtremeValue attribute pair that lists the multiplier the value is
off the median: value = median + 'multiplier' * IQR.
- setOutputOutOfBagComplexityStatistics(boolean) - Method in class weka.classifiers.meta.Bagging
-
Sets whether complexity statistics are output when OOB estimation is performed.
- setOutputPerClassInfoRetrievalStats(boolean) - Method in class weka.gui.beans.IncrementalClassifierEvaluator
-
Set whether to output per-class information retrieval statistics (nominal
class only).
- setOutputPerClassInfoRetrievalStats(boolean) - Method in class weka.knowledgeflow.steps.IncrementalClassifierEvaluator
-
Set whether to output per-class information retrieval statistics (nominal
class only).
- setOutputPerClassStats(boolean) - Method in class weka.knowledgeflow.steps.ClassifierPerformanceEvaluator
-
- setOutputProbsForSVM(boolean) - Method in class weka.classifiers.functions.SGDText
-
Set whether to fit a logistic regression (itself trained using SGD) to the
outputs of the SVM (if an SVM is being learned).
- setOutputs(Vector<Object>) - Method in class weka.gui.beans.MetaBean
-
- setOutputTypes(String) - Method in class weka.core.Debug.DBO
-
Switches the outputs on that are requested from the option O
- setOutputWordCounts(boolean) - Method in class weka.core.DictionaryBuilder
-
Sets whether output instances contain 0 or 1 indicating word presence, or
word counts.
- setOutputWordCounts(boolean) - Method in class weka.filters.unsupervised.attribute.FixedDictionaryStringToWordVector
-
Sets whether output instances contain 0 or 1 indicating word presence, or
word counts.
- setOutputWordCounts(boolean) - Method in class weka.filters.unsupervised.attribute.StringToWordVector
-
Sets whether output instances contain 0 or 1 indicating word presence, or
word counts.
- setOverwriteWarning(boolean) - Method in class weka.gui.ConverterFileChooser
-
Whether a warning is popped up if the file that is to be saved already
exists (only save dialog).
- setOwner(CapabilitiesHandler) - Method in class weka.core.Capabilities
-
sets the owner of this capabilities object
- setOwner(SimpleCLIPanel) - Method in class weka.gui.simplecli.AbstractCommand
-
Sets the owner.
- setP(double) - Method in class weka.classifiers.BVDecomposeSegCVSub
-
Set the proportion of instances that are common between two training sets
used to train a classifier.
- setPackage(Package) - Method in class weka.core.packageManagement.PackageConstraint
-
Set the package that this constraint applies to.
- setPackageHome(File) - Method in class weka.core.packageManagement.PackageManager
-
Set the location (directory) of installed packages.
- setPackageManager(PackageManager) - Method in class weka.core.packageManagement.DefaultPackage
-
Set the package manager for this package
- setPackageMetaData(Map<?, ?>) - Method in class weka.core.packageManagement.Package
-
Set the meta data for this package.
- setPackageMetaDataElement(Object, Object) - Method in class weka.core.packageManagement.DefaultPackage
-
Adds a key, value pair to the meta data map.
- setPackageMetaDataElement(Object, Object) - Method in class weka.core.packageManagement.Package
-
Adds a key, value pair to the meta data map.
- setPackageRepositoryURL(URL) - Method in class weka.core.packageManagement.PackageManager
-
Set the URL to the repository of package meta data.
- setPaint(Paint) - Method in class weka.gui.visualize.PostscriptGraphics
-
- setPaintMode() - Method in class weka.gui.visualize.PostscriptGraphics
-
Not implemented
- setPanelHeight(int) - Method in class weka.gui.boundaryvisualizer.RemoteBoundaryVisualizerSubTask
-
Set the height of the visualization
- setPanelWidth(int) - Method in class weka.gui.boundaryvisualizer.RemoteBoundaryVisualizerSubTask
-
Set the width of the visualization
- setParameterDefs(ArrayList<Attribute>) - Method in class weka.core.pmml.BuiltInArithmetic
-
Set the structure of the parameters that are expected as input by
this function.
- setParameterDefs(ArrayList<Attribute>) - Method in class weka.core.pmml.BuiltInMath
-
Set the structure of the parameters that are expected as input by
this function.
- setParameterDefs(ArrayList<Attribute>) - Method in class weka.core.pmml.BuiltInString
-
Set the structure of the parameters that are expected as input by
this function.
- setParameterDefs(ArrayList<Attribute>) - Method in class weka.core.pmml.DefineFunction
-
Set the structure of the parameters that are expected as input by
this function.
- setParameterDefs(ArrayList<Attribute>) - Method in class weka.core.pmml.Function
-
Set the structure of the parameters that are expected as input by
this function.
- setParameterName(String) - Method in class weka.core.pmml.jaxbbindings.PCell
-
Sets the value of the parameterName property.
- setParameterName(String) - Method in class weka.core.pmml.jaxbbindings.PPCell
-
Sets the value of the parameterName property.
- SetParent(int, int) - Method in class weka.classifiers.bayes.net.ParentSet
-
sets index parent of parent specified by index
- setParent(ClusterGenerator) - Method in class weka.datagenerators.ClusterDefinition
-
sets the parent datagenerator this cluster belongs to
- setParent(Container) - Method in class weka.gui.arffviewer.ArffViewerMainPanel
-
sets the new parent frame
- setParent(Edge) - Method in class weka.gui.treevisualizer.Node
-
Set the value of parent.
- setParentField(String) - Method in class weka.core.pmml.jaxbbindings.ChildParent
-
Sets the value of the parentField property.
- setParentFrame(JFrame) - Method in class weka.gui.SetInstancesPanel
-
Sets the frame, this panel resides in.
- setParentLevelField(String) - Method in class weka.core.pmml.jaxbbindings.ChildParent
-
Sets the value of the parentLevelField property.
- setParentSeparator(MarginCalculator.JunctionTreeSeparator) - Method in class weka.classifiers.bayes.net.MarginCalculator.JunctionTreeNode
-
- setParentWindow(Window) - Method in class weka.gui.beans.AssociatorCustomizer
-
- setParentWindow(Window) - Method in class weka.gui.beans.AttributeSummarizerCustomizer
-
Set the parent window of this dialog
- setParentWindow(Window) - Method in class weka.gui.beans.ClassAssignerCustomizer
-
- setParentWindow(Window) - Method in class weka.gui.beans.ClassifierCustomizer
-
- setParentWindow(Window) - Method in class weka.gui.beans.ClassifierPerformanceEvaluatorCustomizer
-
- setParentWindow(Window) - Method in class weka.gui.beans.ClassValuePickerCustomizer
-
- setParentWindow(Window) - Method in class weka.gui.beans.ClustererCustomizer
-
- setParentWindow(Window) - Method in class weka.gui.beans.CrossValidationFoldMakerCustomizer
-
- setParentWindow(Window) - Method in interface weka.gui.beans.CustomizerCloseRequester
-
A reference to the parent is passed in
- setParentWindow(Window) - Method in class weka.gui.beans.DataVisualizerCustomizer
-
Set the parent window of this dialog
- setParentWindow(Window) - Method in class weka.gui.beans.FilterCustomizer
-
- setParentWindow(Window) - Method in class weka.gui.beans.FlowByExpressionCustomizer
-
- setParentWindow(Window) - Method in class weka.gui.beans.ImageSaverCustomizer
-
Set the parent window of this dialog
- setParentWindow(Window) - Method in class weka.gui.beans.IncrementalClassifierEvaluatorCustomizer
-
- setParentWindow(Window) - Method in class weka.gui.beans.JoinCustomizer
-
- setParentWindow(Window) - Method in class weka.gui.beans.LoaderCustomizer
-
- setParentWindow(Window) - Method in class weka.gui.beans.ModelPerformanceChartCustomizer
-
Set the parent window of this dialog
- setParentWindow(Window) - Method in class weka.gui.beans.NoteCustomizer
-
- setParentWindow(Window) - Method in class weka.gui.beans.PredictionAppenderCustomizer
-
- setParentWindow(Window) - Method in class weka.gui.beans.SaverCustomizer
-
- setParentWindow(Window) - Method in class weka.gui.beans.SerializedModelSaverCustomizer
-
- setParentWindow(Window) - Method in class weka.gui.beans.SorterCustomizer
-
Set the parent window for this dialog
- setParentWindow(Window) - Method in class weka.gui.beans.SubstringLabelerCustomizer
-
Set a reference to the parent window/dialog containing this panel
- setParentWindow(Window) - Method in class weka.gui.beans.SubstringReplacerCustomizer
-
Set a reference to the parent window/dialog containing this panel
- setParentWindow(Window) - Method in class weka.gui.beans.TextSaverCustomizer
-
Set the parent window of this dialog
- setParentWindow(Window) - Method in class weka.gui.knowledgeflow.BaseInteractiveViewer
-
Set the parent window for this viewer
- setParentWindow(Window) - Method in interface weka.gui.knowledgeflow.StepInteractiveViewer
-
Set the parent window for this viewer
- setPartialScore(Double) - Method in class weka.core.pmml.jaxbbindings.Attribute
-
Sets the value of the partialScore property.
- setPartition(Partition) - Method in class weka.core.pmml.jaxbbindings.Cluster
-
Sets the value of the partition property.
- setPartition(Partition) - Method in class weka.core.pmml.jaxbbindings.TargetValue
-
Sets the value of the partition property.
- setPartitionGenerator(PartitionGenerator) - Method in class weka.filters.supervised.attribute.PartitionMembership
-
Set the generator for use in filtering
- setPassword(String) - Method in interface weka.core.converters.DatabaseConverter
-
- setPassword(String) - Method in class weka.core.converters.DatabaseLoader
-
Sets user password for the database
- setPassword(String) - Method in class weka.core.converters.DatabaseSaver
-
Sets the database password.
- setPassword(String) - Method in class weka.experiment.DatabaseUtils
-
Set the database password.
- setPassword(String) - Method in class weka.gui.sql.ConnectionPanel
-
sets the Password.
- setPasteBuffer(StringBuffer) - Method in class weka.gui.beans.KnowledgeFlowApp
-
Set the contents of the "paste" buffer and enable the paste from cliboard
toolbar button
- setPattern(SelectedTag) - Method in class weka.datagenerators.clusterers.BIRCHCluster
-
Sets the pattern type.
- setPayloadElement(String, Object) - Method in class weka.knowledgeflow.Data
-
Set a payload element to encapsulate in this Data object.
- setPCol(String) - Method in class weka.core.pmml.jaxbbindings.PCovCell
-
Sets the value of the pCol property.
- setPercent(int) - Method in class weka.filters.unsupervised.attribute.AddNoise
-
Sets the size of noise data, as a percentage of the original set.
- setPercent(double) - Method in class weka.filters.unsupervised.attribute.RandomProjection
-
Sets the percent the attributes (dimensions) of the data should be reduced
to
- setPercent() - Method in class weka.gui.visualize.MatrixPanel
-
Calculates the percentage to resample
- setPercentage(double) - Method in class weka.filters.unsupervised.instance.RemovePercentage
-
Sets the percentage of intances to select.
- setPercentCompleted(int) - Method in class weka.gui.boundaryvisualizer.RemoteResult
-
Set the progress for this row so far
- setPeriod(BigInteger) - Method in class weka.core.pmml.jaxbbindings.SeasonalityExpoSmooth
-
Sets the value of the period property.
- setPeriodicPruning(int) - Method in class weka.classifiers.bayes.NaiveBayesMultinomialText
-
Set how often to prune the dictionary
- setPeriodicPruning(int) - Method in class weka.classifiers.functions.SGDText
-
Set how often to prune the dictionary
- setPeriodicPruning(long) - Method in class weka.core.converters.DictionarySaver
-
Sets the rate at which the dictionary is periodically pruned, as a
percentage of the dataset size.
- setPeriodicPruning(long) - Method in class weka.core.DictionaryBuilder
-
Sets the rate (number of instances) at which the dictionary is periodically
pruned
- setPeriodicPruning(double) - Method in class weka.filters.unsupervised.attribute.StringToWordVector
-
Sets the rate at which the dictionary is periodically pruned, as a
percentage of the dataset size.
- setPeriodicPruningRate(int) - Method in class weka.clusterers.Canopy
-
Set the how often to prune low density canopies during training
- setPerspectiveName(String) - Method in class weka.knowledgeflow.steps.SendToPerspective
-
- setPerspectivesToolbarAlwaysHidden(boolean) - Method in class weka.gui.PerspectiveManager.SelectedPerspectivePreferences
-
Set whether the perspectives toolbar should always be hidden
- setPerspectivesToolbarVisibleOnStartup(boolean) - Method in class weka.gui.PerspectiveManager.SelectedPerspectivePreferences
-
Set whether the perspectives toolbar should be visible in the GUI at
application startup
- setPerspectiveToolbarAlwaysHidden(Settings) - Method in class weka.gui.PerspectiveManager
-
Set whether the perspectives toolbar should always be hidden.
- setPerspectiveToolBarIsVisible(boolean) - Method in class weka.gui.PerspectiveManager
-
- setPerturbationFraction(double) - Method in class weka.datagenerators.classifiers.classification.Agrawal
-
Sets the perturbation fraction.
- setPhase(BigInteger) - Method in class weka.core.pmml.jaxbbindings.SeasonalityExpoSmooth
-
Sets the value of the phase property.
- setPhi(Double) - Method in class weka.core.pmml.jaxbbindings.TrendExpoSmooth
-
Sets the value of the phi property.
- setPickList(List<String>) - Method in class weka.core.Settings.SettingKey
-
Set the optional pick list for the setting
- setPivot(Instance) - Method in class weka.core.neighboursearch.balltrees.BallNode
-
Sets the pivot/centre of this nodes
ball.
- setPixHeight(double) - Method in class weka.gui.boundaryvisualizer.RemoteBoundaryVisualizerSubTask
-
Set the height of a pixel
- setPixWidth(double) - Method in class weka.gui.boundaryvisualizer.RemoteBoundaryVisualizerSubTask
-
Set the width of a pixel
- setPlotBackgroundColour(Color) - Method in class weka.gui.visualize.MatrixPanel
-
Set the background colour for the cells in the matrix
- setPlotCompanion(Plot2DCompanion) - Method in class weka.gui.visualize.Plot2D
-
Set a companion class.
- setPlotList(ArrayList<PlotData2D>) - Method in class weka.gui.visualize.LegendPanel
-
Set the list of plots to generate legend entries for
- setPlotName(String) - Method in class weka.gui.visualize.PlotData2D
-
Set the name of this plot
- setPlotNameHTML(String) - Method in class weka.gui.visualize.PlotData2D
-
Set the plot name for use in a tool tip text.
- setPlotShapes(ArrayList<Integer>) - Method in class weka.gui.explorer.ClassifierErrorsPlotInstances
-
Set the vector of plot shapes to use;
- setPlotSize(int) - Method in class weka.gui.visualize.MatrixPanel
-
Set the plot size
- setPlotSizes(ArrayList<Object>) - Method in class weka.gui.explorer.ClassifierErrorsPlotInstances
-
Set the vector of plot sizes to use
- setPlotTrainingData(boolean) - Method in class weka.gui.boundaryvisualizer.BoundaryPanel
-
Set whether to superimpose the training data plot
- setPlotTrainingData(boolean) - Method in class weka.knowledgeflow.steps.BoundaryPlotter
-
Set whether to superimpose the training data points on the plot or not
- setPlus(int, double) - Method in class weka.core.matrix.DoubleVector
-
Adds a value to an element
- setPMMLVersion(Document) - Method in class weka.classifiers.pmml.consumer.PMMLClassifier
-
Set the version of PMML used for this model.
- setPMMLVersion(Document) - Method in interface weka.core.pmml.PMMLModel
-
Set the version of the PMML.
- setPoints(MiddleOutConstructor.TempNode, int, int, int[]) - Method in class weka.core.neighboursearch.balltrees.MiddleOutConstructor
-
Sets the points of an anchor node.
- setPointSize(int) - Method in class weka.gui.visualize.MatrixPanel
-
Set the point size for the plots
- setPointSizeProportionalToMargin(boolean) - Method in class weka.gui.explorer.ClassifierErrorsPlotInstances
-
Set whether the point size should be proportional to the prediction margin
(classification only).
- setPoissonDistribution(PoissonDistribution) - Method in class weka.core.pmml.jaxbbindings.Alternate
-
Sets the value of the poissonDistribution property.
- setPoissonDistribution(PoissonDistribution) - Method in class weka.core.pmml.jaxbbindings.Baseline
-
Sets the value of the poissonDistribution property.
- setPoolSize(int) - Method in class weka.attributeSelection.CfsSubsetEval
-
Sets the number of threads
- setPoolSize(int) - Method in class weka.classifiers.meta.IterativeClassifierOptimizer
-
Sets the number of threads
- setPoolSize(int) - Method in class weka.classifiers.meta.LogitBoost
-
Sets the number of threads
- setPopulationSize(int) - Method in class weka.classifiers.bayes.net.search.global.GeneticSearch
-
- setPopulationSize(int) - Method in class weka.classifiers.bayes.net.search.local.GeneticSearch
-
- setPopup(JPopupMenu) - Method in class weka.gui.GenericObjectEditor.CapabilitiesFilterDialog
-
sets the JPopupMenu to display again after closing the dialog.
- setPosition(int, int, int) - Method in class weka.classifiers.bayes.net.EditableBayesNet
-
set position of node
- setPosition(int, int, int, ArrayList<Integer>) - Method in class weka.classifiers.bayes.net.EditableBayesNet
-
Set position of node.
- setPositiveIndex(int) - Method in class weka.associations.FPGrowth
-
Set the index of the attribute value to consider as positive for binary
attributes in normal dense instances.
- setPositiveTargetFieldDisplayValue(String) - Method in class weka.core.pmml.jaxbbindings.ROC
-
Sets the value of the positiveTargetFieldDisplayValue property.
- setPositiveTargetFieldValue(String) - Method in class weka.core.pmml.jaxbbindings.ROC
-
Sets the value of the positiveTargetFieldValue property.
- setPostProcessor(CheckScheme.PostProcessor) - Method in class weka.core.CheckScheme
-
sets the PostProcessor to use
- setPostProcessor(CheckEstimator.PostProcessor) - Method in class weka.estimators.CheckEstimator
-
sets the PostProcessor to use
- setPParameter(double) - Method in class weka.core.pmml.jaxbbindings.Minkowski
-
Sets the value of the pParameter property.
- setPreBuiltClassifiers(File[]) - Method in class weka.classifiers.meta.Vote
-
Set the paths to pre-built serialized classifiers to load and include in
the ensemble
- setPrecision(Double) - Method in class weka.core.pmml.jaxbbindings.VerificationField
-
Sets the value of the precision property.
- setPreComputeCorrelationMatrix(boolean) - Method in class weka.attributeSelection.CfsSubsetEval
-
Set whether to pre-compute the full correlation matrix at the outset,
rather than computing individual correlations lazily (as needed) during the
search.
- SetPredicate - Class in weka.core.pmml.jaxbbindings
-
Java class for SetPredicate element declaration.
- SetPredicate() - Constructor for class weka.core.pmml.jaxbbindings.SetPredicate
-
- setPredictionIntervals(double[][]) - Method in class weka.classifiers.evaluation.NumericPrediction
-
Sets the prediction intervals for this prediction.
- setPredictorName(String) - Method in class weka.core.pmml.jaxbbindings.PPCell
-
Sets the value of the predictorName property.
- setPredTargetColumn(boolean) - Method in class weka.experiment.ClassifierSplitEvaluator
-
Set the flag for prediction and target output.
- setPreferredScrollableViewportSize(Dimension) - Method in class weka.gui.AttributeSelectionPanel
-
- setPrefix(String) - Method in class weka.gui.beans.SerializedModelSaver
-
Set the prefix to prepend to the model file names.
- setPreprocessing(Filter) - Method in class weka.filters.unsupervised.attribute.KernelFilter
-
Sets the filter to use for preprocessing (use the AllFilter for no
preprocessing)
- setPreserveInstancesOrder(boolean) - Method in class weka.clusterers.SimpleKMeans
-
Sets whether order of instances must be preserved.
- setPreserveOrder(boolean) - Method in class weka.gui.beans.CrossValidationFoldMaker
-
Sets whether the order of the incoming instances is to be preserved under
cross-validation (no randomization or stratification is done in this case).
- setPreserveOrder(boolean) - Method in class weka.knowledgeflow.steps.CrossValidationFoldMaker
-
Set whether to preserve the order of the input instances when creatinbg
the folds
- setPreserveOrder(boolean) - Method in class weka.knowledgeflow.steps.TrainTestSplitMaker
-
Set whether to preserve the order of the instances or not
- setPreserveOrderInPercentageSplitEvaluation(boolean) - Method in class weka.classifiers.meta.IterativeClassifierOptimizer
-
Set the value of PreserveOrderInPercentageSplitEvaluation.
- setPrintClassifiers(boolean) - Method in class weka.classifiers.meta.Bagging
-
Set whether to print the individual ensemble classifiers in the output
- setPrintColNames(boolean) - Method in class weka.experiment.ResultMatrix
-
sets whether the column names or numbers instead are printed.
- setPrintLeafModels(boolean) - Method in class weka.classifiers.trees.HoeffdingTree
-
- setPrintNewick(boolean) - Method in class weka.clusterers.HierarchicalClusterer
-
- setPrintRowNames(boolean) - Method in class weka.experiment.ResultMatrix
-
sets whether the row names or numbers instead are printed deactivating
automatically sets m_EnumerateColNames to TRUE.
- setPriorProbability(BigDecimal) - Method in class weka.core.pmml.jaxbbindings.TargetValue
-
Sets the value of the priorProbability property.
- setPriors(Instances) - Method in class weka.classifiers.evaluation.Evaluation
-
Sets the class prior probabilities.
- setPriors(Instances) - Method in class weka.classifiers.Evaluation
-
Sets the class prior probabilities.
- setProbability(BigDecimal) - Method in class weka.core.pmml.jaxbbindings.ScoreDistribution
-
Sets the value of the probability property.
- setProbability(double) - Method in class weka.filters.unsupervised.attribute.ReplaceWithMissingValue
-
Set the probability to use.
- setProducer(String) - Method in class weka.associations.AssociationRules
-
Set a textual description of the scheme that produced
these rules.
- setProlog(boolean) - Method in class weka.core.OptionHandlerJavadoc
-
sets whether to add the "Valid options are..." prolog
- setProlog(boolean) - Method in class weka.core.TechnicalInformationHandlerJavadoc
-
sets whether to add the "Valid options are..." prolog
- SetPropertiesFromEnvironment - Class in weka.knowledgeflow.steps
-
Step that accesses property values stored in the flow environment and
attempts to set them on the algorithm-based step that it is connected to.
- SetPropertiesFromEnvironment() - Constructor for class weka.knowledgeflow.steps.SetPropertiesFromEnvironment
-
- setProperty(String) - Method in class weka.core.pmml.jaxbbindings.Value
-
Sets the value of the property property.
- setProperty(String, String) - Method in class weka.core.ProtectedProperties
-
Overrides a method to prevent the properties from being modified.
- setPropertyArray(Object) - Method in class weka.experiment.Experiment
-
Sets the array of values to set the custom property to.
- setPropertyArray(Object) - Method in class weka.experiment.RemoteExperiment
-
Sets the array of values to set the custom property to.
- setPropertyGroupingCategory(String) - Method in class weka.gui.PropertySheetPanel
-
- setPropertyPath(PropertyNode[]) - Method in class weka.experiment.Experiment
-
Sets the path of properties taken to get to the custom property to iterate
over.
- setPropertyPath(PropertyNode[]) - Method in class weka.experiment.RemoteExperiment
-
Sets the path of properties taken to get to the custom property to iterate
over.
- setPropsInternalRep(String) - Method in class weka.knowledgeflow.steps.StorePropertiesInEnvironment
-
- setPRow(String) - Method in class weka.core.pmml.jaxbbindings.PCovCell
-
Sets the value of the pRow property.
- setProxy(Proxy) - Method in class weka.core.packageManagement.PackageManager
-
Set a proxy to use for accessing the internet (default is no proxy).
- setProxyAuthentication(URL) - Method in class weka.core.packageManagement.PackageManager
-
Sets an new default Authenticator that will return the values set through
setProxyUsername() and setProxyPassword() (if applicable).
- setProxyPassword(String) - Method in class weka.core.packageManagement.PackageManager
-
Set the password for authentication with the proxy.
- setProxyUsername(String) - Method in class weka.core.packageManagement.PackageManager
-
Set the user name for authentication with the proxy.
- setPruningMethod(SelectedTag) - Method in class weka.classifiers.functions.supportVector.StringKernel
-
Sets the method used to for pruning.
- setPValue(BigDecimal) - Method in class weka.core.pmml.jaxbbindings.AnovaRow
-
Sets the value of the pValue property.
- setPValueAlpha(BigDecimal) - Method in class weka.core.pmml.jaxbbindings.MultivariateStat
-
Sets the value of the pValueAlpha property.
- setPValueFinal(BigDecimal) - Method in class weka.core.pmml.jaxbbindings.MultivariateStat
-
Sets the value of the pValueFinal property.
- setPValueInitial(BigDecimal) - Method in class weka.core.pmml.jaxbbindings.MultivariateStat
-
Sets the value of the pValueInitial property.
- setQuality(float) - Method in class weka.gui.visualize.JPEGWriter
-
sets the quality the JPEG is saved in.
- setQuantileLimit(BigDecimal) - Method in class weka.core.pmml.jaxbbindings.Quantile
-
Sets the value of the quantileLimit property.
- setQuantileValue(double) - Method in class weka.core.pmml.jaxbbindings.Quantile
-
Sets the value of the quantileValue property.
- setQuery(String) - Method in class weka.core.converters.DatabaseLoader
-
Sets the query to execute against the database
- setQuery(String) - Method in class weka.experiment.InstanceQuery
-
Set the query to execute against the database
- setQuery(String) - Method in class weka.gui.sql.QueryPanel
-
sets the query in the textarea.
- setQueryPanel(QueryPanel) - Method in class weka.gui.sql.ResultPanel
-
sets the QueryPanel to use for displaying the query
- setQuoteDelimiters(String) - Method in class weka.gui.scripting.SyntaxDocument
-
Sets the quote delimiter characters to use.
- setQuoteEscape(String) - Method in class weka.gui.scripting.SyntaxDocument
-
Sets the character to use for escaping a quote character.
- setRadius(double) - Method in class weka.core.neighboursearch.balltrees.BallNode
-
Sets the radius of the node's
ball.
- setRaiseExceptionOnCommandFailure(boolean) - Method in class weka.knowledgeflow.steps.ExecuteProcess
-
Set to raise an exception when a command fails completely (i.e.
- setRandom(Random) - Method in class weka.datagenerators.DataGenerator
-
Sets the random generator.
- setRandomizeData(boolean) - Method in class weka.experiment.ExplicitTestsetResultProducer
-
Set to true if dataset is to be randomized.
- setRandomizeData(boolean) - Method in class weka.experiment.RandomSplitResultProducer
-
Set to true if dataset is to be randomized
- setRandomLiftGraph(RandomLiftGraph) - Method in class weka.core.pmml.jaxbbindings.LiftData
-
Sets the value of the randomLiftGraph property.
- setRandomOrder(boolean) - Method in class weka.classifiers.bayes.net.search.global.K2
-
Set random order flag
- setRandomOrder(boolean) - Method in class weka.classifiers.bayes.net.search.local.K2
-
Set random order flag
- setRandomSeed(int) - Method in class weka.classifiers.functions.SMO
-
Set the value of randomSeed.
- setRandomSeed(int) - Method in class weka.core.neighboursearch.balltrees.MedianDistanceFromArbitraryPoint
-
Sets the seed for random number generator.
- setRandomSeed(int) - Method in class weka.filters.supervised.instance.Resample
-
Sets the random number seed.
- setRandomSeed(int) - Method in class weka.filters.supervised.instance.SpreadSubsample
-
Sets the random number seed.
- setRandomSeed(int) - Method in class weka.filters.unsupervised.attribute.AddNoise
-
Sets the random number seed.
- setRandomSeed(int) - Method in class weka.filters.unsupervised.instance.Randomize
-
Set the random number generator seed value.
- setRandomSeed(int) - Method in class weka.filters.unsupervised.instance.Resample
-
Sets the random number seed.
- setRandomSeed(int) - Method in class weka.filters.unsupervised.instance.ReservoirSample
-
Sets the random number seed.
- setRandomWidthFactor(double) - Method in class weka.classifiers.meta.MultiClassClassifier
-
Sets the multiplier when generating random codes.
- setRange(String) - Method in class weka.core.InstanceComparator
-
Sets the attribute range to use for comparison.
- setRangeConstraint(String, VersionPackageConstraint.VersionComparison, String, VersionPackageConstraint.VersionComparison) - Method in class weka.core.packageManagement.VersionRangePackageConstraint
-
Set the range bounds and constraints.
- setRanges(String) - Method in class weka.core.Range
-
Sets the ranges from a string representation.
- setRanges(Range[]) - Method in class weka.filters.unsupervised.attribute.PartitionedMultiFilter
-
Sets the list of possible Ranges to choose from.
- setRank(BigInteger) - Method in class weka.core.pmml.jaxbbindings.OutputField
-
Sets the value of the rank property.
- setRankBasis(String) - Method in class weka.core.pmml.jaxbbindings.OutputField
-
Sets the value of the rankBasis property.
- setRanking(boolean) - Method in class weka.attributeSelection.AttributeSelection
-
produce a ranking (if possible with the set search and evaluator)
- setRanking(int[][]) - Method in class weka.experiment.ResultMatrix
-
sets the ranking data based on the wins.
- setRankingQuality(Double) - Method in class weka.core.pmml.jaxbbindings.LiftData
-
Sets the value of the rankingQuality property.
- setRankOrder(String) - Method in class weka.core.pmml.jaxbbindings.OutputField
-
Sets the value of the rankOrder property.
- setRawOutput(boolean) - Method in class weka.experiment.CrossValidationResultProducer
-
Set to true if raw split evaluator output is to be saved
- setRawOutput(boolean) - Method in class weka.experiment.ExplicitTestsetResultProducer
-
Set to true if raw split evaluator output is to be saved.
- setRawOutput(boolean) - Method in class weka.experiment.RandomSplitResultProducer
-
Set to true if raw split evaluator output is to be saved
- setReadable(String) - Method in class weka.core.Tag
-
Sets the string description of the Tag.
- setReadIncrementally(boolean) - Method in class weka.gui.SetInstancesPanel
-
Sets whether or not instances should be read incrementally by the Loader.
- setReadOnly(boolean) - Method in class weka.gui.arffviewer.ArffPanel
-
sets whether the model is read-only
- setReadOnly(boolean) - Method in class weka.gui.arffviewer.ArffSortedTableModel
-
sets whether the model is read-only
- setReadOnly(boolean) - Method in class weka.gui.arffviewer.ArffTable
-
sets whether the model is read-only
- setReadOnly(boolean) - Method in class weka.gui.arffviewer.ArffTableModel
-
sets whether the model is read-only
- setREALSparseArray(REALSparseArray) - Method in class weka.core.pmml.jaxbbindings.VectorInstance
-
Sets the value of the realSparseArray property.
- setReasonCode(String) - Method in class weka.core.pmml.jaxbbindings.Attribute
-
Sets the value of the reasonCode property.
- setReasonCode(String) - Method in class weka.core.pmml.jaxbbindings.Characteristic
-
Sets the value of the reasonCode property.
- setReasonCodeAlgorithm(String) - Method in class weka.core.pmml.jaxbbindings.Scorecard
-
Sets the value of the reasonCodeAlgorithm property.
- setRecordCount(BigInteger) - Method in class weka.core.pmml.jaxbbindings.ModelVerification
-
Sets the value of the recordCount property.
- setRecordCount(Double) - Method in class weka.core.pmml.jaxbbindings.Node
-
Sets the value of the recordCount property.
- setRecordCount(Double) - Method in class weka.core.pmml.jaxbbindings.RuleSet
-
Sets the value of the recordCount property.
- setRecordCount(double) - Method in class weka.core.pmml.jaxbbindings.ScoreDistribution
-
Sets the value of the recordCount property.
- setRecordCount(Double) - Method in class weka.core.pmml.jaxbbindings.SimpleRule
-
Sets the value of the recordCount property.
- setRecordCount(BigInteger) - Method in class weka.core.pmml.jaxbbindings.TrainingInstances
-
Sets the value of the recordCount property.
- setReducedErrorPruning(boolean) - Method in class weka.classifiers.rules.PART
-
Set the value of reducedErrorPruning.
- setReducedErrorPruning(boolean) - Method in class weka.classifiers.trees.J48
-
Set the value of reducedErrorPruning.
- setReduceNumberOfDistanceCalcsViaCanopies(boolean) - Method in class weka.clusterers.SimpleKMeans
-
Set whether to use canopies to reduce the number of distance computations
required
- setRefer(String) - Method in class weka.gui.treevisualizer.Node
-
Set the value of refer.
- SetReference - Class in weka.core.pmml.jaxbbindings
-
Java class for SetReference element declaration.
- SetReference() - Constructor for class weka.core.pmml.jaxbbindings.SetReference
-
- setReferencePoint(Double) - Method in class weka.core.pmml.jaxbbindings.Parameter
-
Sets the value of the referencePoint property.
- setRefreshFreq(int) - Method in class weka.gui.beans.StripChart
-
Set how often (in x axis points) to refresh the display
- setRefreshFreq(int) - Method in class weka.knowledgeflow.steps.StripChart
-
Set how often (in x axis points) to refresh the display
- setRefreshWidth(int) - Method in class weka.gui.beans.StripChart
-
Set how many pixels to shift the plot by every time a point is plotted
- setRefreshWidth(int) - Method in class weka.knowledgeflow.steps.StripChart
-
Set how many pixels to shift the plot by every time a point is plotted
- setRegex(boolean) - Method in class weka.gui.beans.SubstringLabelerRules.SubstringLabelerMatchRule
-
Set whether this is a regular expression match or not
- setRegex(boolean) - Method in class weka.gui.beans.SubstringReplacerRules.SubstringReplacerMatchRule
-
Set whether this is a regular expression match or not
- setRegexMatch(String) - Method in class weka.filters.RenameRelation
-
Set the match string for regex modifications
- setRegexMatch(String) - Method in class weka.knowledgeflow.steps.AlterRelationName
-
Set the match string for regex modifications
- setRegOptimizer(RegOptimizer) - Method in class weka.classifiers.functions.SMOreg
-
sets the learning algorithm
- setRegressionModel(RegressionModel) - Method in class weka.core.pmml.jaxbbindings.Segment
-
Sets the value of the regressionModel property.
- setRegressionTree(boolean) - Method in class weka.classifiers.trees.m5.Rule
-
Set the value of regressionTree.
- setRegressionTree(boolean) - Method in class weka.classifiers.trees.m5.RuleNode
-
Set the value of regressionTree.
- setRelation(String) - Method in class weka.core.TestInstances
-
sets the name of the relation
- setRelationalClassFormat(Instances) - Method in class weka.core.TestInstances
-
sets the structure for the relational class attribute
- setRelationalFormat(int, Instances) - Method in class weka.core.TestInstances
-
sets the structure for the bags for the relational attribute
- setRelationFind(String) - Method in class weka.experiment.ExplicitTestsetResultProducer
-
Sets the regular expression to use on the relation name.
- setRelationForTableName(boolean) - Method in class weka.core.converters.DatabaseSaver
-
En/Dis-ables that the relation name is used for the name of the table
(default enabled).
- setRelationName(String) - Method in class weka.core.Instances
-
Sets the relation's name.
- setRelationName(String) - Method in class weka.datagenerators.DataGenerator
-
Sets the relation name the dataset should have.
- setRelationNameForFilename(boolean) - Method in class weka.gui.beans.Saver
-
Set whether to use the relation name as the primary part of the filename.
- setRelationNameForFilename(boolean) - Method in class weka.knowledgeflow.steps.Saver
-
Set whether to use the relation name as the primary part of the filename.
- setRelationReplace(String) - Method in class weka.experiment.ExplicitTestsetResultProducer
-
Sets the replacement string to use on the relation name.
- setRemoteHosts(DefaultListModel) - Method in class weka.experiment.RemoteExperiment
-
Set the list of remote host names
- setRemoteHosts(Vector<String>) - Method in class weka.gui.boundaryvisualizer.BoundaryPanelDistributed
-
Set a list of host names of machines to distribute processing to
- setRemoveAllMissingCols(boolean) - Method in class weka.associations.Apriori
-
Remove columns containing all missing values.
- setRemoveClassColumn(boolean) - Method in class weka.experiment.DensityBasedClustererSplitEvaluator
-
Set whether the class column should be removed from the data.
- setRemoveFilter(Remove) - Method in class weka.filters.supervised.attribute.ClassConditionalProbabilities
-
- setRemoveFilterName(boolean) - Method in class weka.experiment.ResultMatrix
-
sets whether to remove the filter classname from the dataset name.
- setRemoveOldClass(boolean) - Method in class weka.filters.supervised.attribute.AddClassification
-
Set whether the old class attribute is removed.
- setRemoveUnused(boolean) - Method in class weka.filters.unsupervised.attribute.PartitionedMultiFilter
-
Sets whether unused attributes (ones that are not covered by any of the
ranges) are removed from the output.
- setRenderingHint(RenderingHints.Key, Object) - Method in class weka.gui.visualize.PostscriptGraphics
-
- setRenderingHints(Map<?, ?>) - Method in class weka.gui.visualize.PostscriptGraphics
-
- setRenderingListener(BoundaryPlotter.RenderingUpdateListener) - Method in class weka.knowledgeflow.steps.BoundaryPlotter
-
Set a listener to receive rendering updates
- setReplace(String) - Method in class weka.filters.unsupervised.attribute.RenameAttribute
-
Sets the regular expression to replace matching attribute names with.
- setReplace(String) - Method in class weka.gui.beans.SubstringReplacerRules.SubstringReplacerMatchRule
-
Set the replace string
- setReplaceAll(boolean) - Method in class weka.filters.RenameRelation
-
Set whether to replace all regular expression matches, or just the first.
- setReplaceAll(boolean) - Method in class weka.filters.unsupervised.attribute.RenameAttribute
-
Sets whether to replace all occurrences or just the first one.
- setReplaceAll(boolean) - Method in class weka.knowledgeflow.steps.AlterRelationName
-
Set whether to replace all regular expression matches, or just the first.
- setReplaceMissingValues(boolean) - Method in class weka.filters.unsupervised.attribute.RandomProjection
-
Sets either to use replace missing values filter or not
- setRepresentCopiesUsingWeights(boolean) - Method in class weka.classifiers.meta.Bagging
-
Set whether copies of instances are represented using weights rather than explicitly.
- setRepresentCopiesUsingWeights(boolean) - Method in class weka.classifiers.trees.RandomForest
-
This method only accepts true as its argument
- setRescaleConstant(Double) - Method in class weka.core.pmml.jaxbbindings.Target
-
Sets the value of the rescaleConstant property.
- setRescaleFactor(Double) - Method in class weka.core.pmml.jaxbbindings.Target
-
Sets the value of the rescaleFactor property.
- setReset(boolean) - Method in class weka.classifiers.functions.MultilayerPerceptron
-
This sets the network up to be able to reset itself with the current
settings and the learning rate at half of what it is currently.
- setReset(boolean) - Method in class weka.gui.beans.ChartEvent
-
Set the reset flag
- setResetIncrementalClassifier(boolean) - Method in class weka.gui.beans.Classifier
-
Set whether to reset (by calling buildClassifier()) an incremental
classifier, and thus discarding any previously learned model, before
processing the first instance in the incoming stream.
- setResetIncrementalClassifier(boolean) - Method in class weka.knowledgeflow.steps.Classifier
-
Set whether to reset an incremental classifier at the start of an incoming
instance stream
- setResetValue(Double) - Method in class weka.core.pmml.jaxbbindings.TestDistributions
-
Sets the value of the resetValue property.
- setResourceIntensive(boolean) - Method in class weka.knowledgeflow.StepTask
-
Set whether this StepTask
is resource intensive (cpu/memory) or
not.
- setResult(T) - Method in class weka.knowledgeflow.ExecutionResult
-
Set the result generated by the StepTask
- setResultKeyFromDialog() - Method in class weka.gui.experiment.ResultsPanel
-
- setResultListener(ResultListener) - Method in class weka.experiment.AveragingResultProducer
-
Sets the object to send results of each run to.
- setResultListener(ResultListener) - Method in class weka.experiment.CrossValidationResultProducer
-
Sets the object to send results of each run to.
- setResultListener(ResultListener) - Method in class weka.experiment.DatabaseResultProducer
-
Sets the object to send results of each run to.
- setResultListener(ResultListener) - Method in class weka.experiment.Experiment
-
Sets the result listener where results will be sent.
- setResultListener(ResultListener) - Method in class weka.experiment.ExplicitTestsetResultProducer
-
Sets the object to send results of each run to.
- setResultListener(ResultListener) - Method in class weka.experiment.LearningRateResultProducer
-
Sets the object to send results of each run to.
- setResultListener(ResultListener) - Method in class weka.experiment.RandomSplitResultProducer
-
Sets the object to send results of each run to.
- setResultListener(ResultListener) - Method in class weka.experiment.RemoteExperiment
-
Sets the result listener where results will be sent.
- setResultListener(ResultListener) - Method in interface weka.experiment.ResultProducer
-
Sets the object to send results of each run to.
- setResultMatrix(ResultMatrix) - Method in class weka.experiment.PairedTTester
-
Sets the matrix to use to produce the output.
- setResultMatrix(ResultMatrix) - Method in interface weka.experiment.Tester
-
Sets the matrix to use to produce the output.
- setResultMatrix(ResultMatrix) - Method in class weka.gui.experiment.OutputFormatDialog
-
Sets the matrix to use as initial selected output format.
- setResultProducer(ResultProducer) - Method in class weka.experiment.AveragingResultProducer
-
Set the ResultProducer.
- setResultProducer(ResultProducer) - Method in class weka.experiment.DatabaseResultProducer
-
Set the ResultProducer.
- setResultProducer(ResultProducer) - Method in class weka.experiment.Experiment
-
Set the result producer used for the current experiment.
- setResultProducer(ResultProducer) - Method in class weka.experiment.LearningRateResultProducer
-
Set the ResultProducer.
- setResultProducer(ResultProducer) - Method in class weka.experiment.RemoteExperiment
-
Set the result producer used for the current experiment.
- setResultsetKeyColumns(Range) - Method in class weka.experiment.PairedTTester
-
Set the value of ResultsetKeyColumns.
- setResultsetKeyColumns(Range) - Method in interface weka.experiment.Tester
-
Set the value of ResultsetKeyColumns.
- setResultsPanel(ResultsPanel) - Method in class weka.gui.experiment.RunPanel
-
Sets the pointer to the results panel.
- setResume(boolean) - Method in class weka.classifiers.functions.MultilayerPerceptron
-
If called with argument true, then the next time done() is called the model is effectively
"frozen" and no further iterations can be performed
- setResume(boolean) - Method in interface weka.classifiers.IterativeClassifier
-
If called with argument true then the classifier will be able to be trained
further (with more iterations) at a later date.
- setResume(boolean) - Method in class weka.classifiers.meta.AdaBoostM1
-
If called with argument true, then the next time done() is called the model
is effectively "frozen" and no further iterations can be performed
- setResume(boolean) - Method in class weka.classifiers.meta.AdditiveRegression
-
If called with argument true, then the next time done() is called the model is effectively
"frozen" and no further iterations can be performed
- setResume(boolean) - Method in class weka.classifiers.meta.FilteredClassifier
-
If called with argument true, then the next time done() is called the model is effectively
"frozen" and no further iterations can be performed
- setResume(boolean) - Method in class weka.classifiers.meta.LogitBoost
-
If called with argument true, then the next time done() is called the model is effectively
"frozen" and no further iterations can be performed
- setRetainStringVals(boolean) - Method in class weka.core.converters.ArffLoader
-
Set whether to retain the values of string attributes in memory (in the
header) when reading incrementally.
- setRetainStringValues(boolean) - Method in class weka.core.converters.ArffLoader.ArffReader
-
Set whether to retain the values of string attributes in memory (in the
header) when reading incrementally.
- setRetrieval(int) - Method in class weka.core.converters.AbstractLoader
-
Sets the retrieval mode.
- setRetrieval(int) - Method in class weka.core.converters.AbstractSaver
-
Sets the retrieval mode.
- setRetrieval(int) - Method in interface weka.core.converters.Loader
-
Sets the retrieval mode.
- setRetrieval(int) - Method in interface weka.core.converters.Saver
-
Sets the retrieval mode
- setRHSIsAnAttribute(boolean) - Method in class weka.knowledgeflow.steps.FlowByExpression.ExpressionClause
-
Set whether the RHS is an attribute rather than a constant
- setRHSOperand(String) - Method in class weka.knowledgeflow.steps.FlowByExpression.ExpressionClause
-
Set the rhs operand
- setRidge(double) - Method in class weka.classifiers.functions.LinearRegression
-
Set the value of Ridge.
- setRidge(double) - Method in class weka.classifiers.functions.Logistic
-
Sets the ridge in the log-likelihood.
- setRidge(double) - Method in class weka.estimators.MultivariateGaussianEstimator
-
Set the value of Ridge.
- setRightMargin(Double) - Method in class weka.core.pmml.jaxbbindings.Interval
-
Sets the value of the rightMargin property.
- setRMSE(Double) - Method in class weka.core.pmml.jaxbbindings.ExponentialSmoothing
-
Sets the value of the rmse property.
- setROC(ROC) - Method in class weka.core.pmml.jaxbbindings.PredictiveModelQuality
-
Sets the value of the roc property.
- setROCGraph(ROCGraph) - Method in class weka.core.pmml.jaxbbindings.ROC
-
Sets the value of the rocGraph property.
- setROCString(String) - Method in class weka.gui.visualize.ThresholdVisualizePanel
-
Set the string with ROC area
- setRoot(boolean) - Method in class weka.gui.treevisualizer.Node
-
Set the value of root.
- setRootMeanSquaredError(Double) - Method in class weka.core.pmml.jaxbbindings.PredictiveModelQuality
-
Sets the value of the rootMeanSquaredError property.
- setRootNode(String) - Method in class weka.core.xml.XMLDocument
-
sets the root node to use in the XML output.
- setRow(int, double[]) - Method in class weka.core.Matrix
-
Deprecated.
Sets a row of the matrix to the given row.
- setRow(BigInteger) - Method in class weka.core.pmml.jaxbbindings.MatCell
-
Sets the value of the row property.
- setRowHidden(int, boolean) - Method in class weka.experiment.ResultMatrix
-
sets the hidden status of the row (if the index is valid).
- setRowName(int, String) - Method in class weka.experiment.ResultMatrix
-
sets the name of the row (if the index is valid).
- setRowNameWidth(int) - Method in class weka.experiment.ResultMatrix
-
sets the width for the row names (0 = optimal).
- setRowNumber(int) - Method in class weka.gui.boundaryvisualizer.RemoteBoundaryVisualizerSubTask
-
Set the row number for this sub task
- setRowOrder(int[]) - Method in class weka.experiment.ResultMatrix
-
sets the ordering of the rows, null means default.
- setRsource(String) - Method in class weka.gui.treevisualizer.Edge
-
Set the value of rsource.
- setRSquared(Double) - Method in class weka.core.pmml.jaxbbindings.PredictiveModelQuality
-
Sets the value of the rSquared property.
- setRtarget(String) - Method in class weka.gui.treevisualizer.Edge
-
Set the value of rtarget.
- setRuleFeature(RULEFEATURE) - Method in class weka.core.pmml.jaxbbindings.OutputField
-
Sets the value of the ruleFeature property.
- setRules(List<AssociationRule>) - Method in class weka.associations.AssociationRules
-
Set the rules to use.
- setRules(List<AssociationRule>) - Method in class weka.associations.FilteredAssociationRules
-
Set the rules to use.
- setRuleset(ArrayList<Rule>) - Method in class weka.classifiers.rules.RuleStats
-
Set the ruleset of the stats, overwriting the old one if any
- setRuleSetModel(RuleSetModel) - Method in class weka.core.pmml.jaxbbindings.Segment
-
Sets the value of the ruleSetModel property.
- setRulesMustContain(String) - Method in class weka.associations.FPGrowth
-
Set the comma separated list of items that rules must contain in order to
be output.
- setRunColumn(int) - Method in class weka.experiment.PairedTTester
-
Set the value of RunColumn.
- setRunColumn(int) - Method in interface weka.experiment.Tester
-
Set the value of RunColumn.
- setRunLower(int) - Method in class weka.experiment.Experiment
-
Set the lower run number for the experiment.
- setRunLower(int) - Method in class weka.experiment.RemoteExperiment
-
Set the lower run number for the experiment.
- setRuns(int) - Method in class weka.classifiers.bayes.net.search.global.GeneticSearch
-
Sets the number of runs
- setRuns(int) - Method in class weka.classifiers.bayes.net.search.global.RepeatedHillClimber
-
Sets the number of runs
- setRuns(int) - Method in class weka.classifiers.bayes.net.search.global.SimulatedAnnealing
-
Sets the m_nRuns.
- setRuns(int) - Method in class weka.classifiers.bayes.net.search.global.TabuSearch
-
Sets the number of runs
- setRuns(int) - Method in class weka.classifiers.bayes.net.search.local.GeneticSearch
-
Sets the number of runs
- setRuns(int) - Method in class weka.classifiers.bayes.net.search.local.RepeatedHillClimber
-
Sets the number of runs
- setRuns(int) - Method in class weka.classifiers.bayes.net.search.local.SimulatedAnnealing
-
Sets the m_nRuns.
- setRuns(int) - Method in class weka.classifiers.bayes.net.search.local.TabuSearch
-
Sets the number of runs
- setRunUpper(int) - Method in class weka.experiment.Experiment
-
Set the upper run number for the experiment.
- setRunUpper(int) - Method in class weka.experiment.RemoteExperiment
-
Set the upper run number for the experiment.
- setSample(Double) - Method in class weka.core.pmml.jaxbbindings.COUNTTABLETYPE
-
Sets the value of the sample property.
- setSamplePeriod(int) - Method in class weka.gui.beans.StreamThroughput
-
Set the sampling period (in milliseconds) to compute througput over
- setSampleSize(int) - Method in class weka.attributeSelection.ReliefFAttributeEval
-
Set the number of instances to sample for attribute estimation
- setSampleSize(int) - Method in class weka.filters.unsupervised.instance.ReservoirSample
-
Sets the size of the subsample.
- setSampleSizePercent(double) - Method in class weka.filters.supervised.instance.Resample
-
Sets the size of the subsample, as a percentage of the original set.
- setSampleSizePercent(double) - Method in class weka.filters.unsupervised.instance.Resample
-
Sets the size of the subsample, as a percentage of the original set.
- setSaveBinaryDictionary(boolean) - Method in class weka.core.converters.DictionarySaver
-
Set whether to save the dictionary as a binary serialized dictionary,
rather than a plain text one
- setSaveDialogTitle(String) - Method in class weka.gui.visualize.PrintableComponent
-
sets the title for the save dialog.
- setSaveDialogTitle(String) - Method in interface weka.gui.visualize.PrintableHandler
-
sets the title for the save dialog
- setSaveDialogTitle(String) - Method in class weka.gui.visualize.PrintablePanel
-
sets the title for the save dialog
- setSaveDictionaryInBinaryForm(boolean) - Method in class weka.filters.unsupervised.attribute.StringToWordVector
-
Set whether to save the dictionary in binary serialized form rather than
as plain text
- setSaveForVisualization(boolean) - Method in class weka.gui.explorer.ClassifierErrorsPlotInstances
-
Sets whether the instances are saved for visualization or only evaluation
of the prediction is to happen.
- setSaveInstanceData(boolean) - Method in class weka.classifiers.trees.J48
-
Set whether instance data is to be saved.
- setSaveInstanceData(boolean) - Method in class weka.clusterers.Cobweb
-
Set the value of saveInstances.
- setSaveInstances(boolean) - Method in class weka.classifiers.trees.M5P
-
Set whether to save instance data at each node in the tree for
visualization purposes
- setSaver(Saver) - Method in class weka.knowledgeflow.steps.Saver
-
Set the saver instance that is wrapped by this step.
- setSaverTemplate(Saver) - Method in class weka.gui.beans.Saver
-
Set the loader to use
- setScale(double) - Method in class weka.filters.unsupervised.attribute.Normalize
-
Sets the scaling factor.
- setScale(double, double) - Method in class weka.gui.visualize.JComponentWriter
-
sets the scale factor - is ignored since we always create a screenshot!
- setScale(double, double) - Method in class weka.gui.visualize.PrintableComponent
-
sets the scale factor.
- setScale(double, double) - Method in interface weka.gui.visualize.PrintableHandler
-
sets the scale factor
- setScale(double, double) - Method in class weka.gui.visualize.PrintablePanel
-
sets the scale factor
- setScaleWidthToFit(boolean) - Method in class weka.gui.DocumentPrinting
-
Sets whether to scale the width to fit.
- setScalingEnabled(boolean) - Method in class weka.gui.visualize.JComponentWriter
-
sets whether to enable scaling
- setScore(String) - Method in class weka.core.pmml.jaxbbindings.Node
-
Sets the value of the score property.
- setScore(String) - Method in class weka.core.pmml.jaxbbindings.SimpleRule
-
Sets the value of the score property.
- setScorecard(Scorecard) - Method in class weka.core.pmml.jaxbbindings.Segment
-
Sets the value of the scorecard property.
- setScoreType(SelectedTag) - Method in class weka.classifiers.bayes.net.search.local.LocalScoreSearchAlgorithm
-
set quality measure to be used in searching for networks.
- setSearch(ASSearch) - Method in class weka.attributeSelection.AttributeSelection
-
set the search method
- setSearch(ASSearch) - Method in class weka.attributeSelection.CheckAttributeSelection
-
Set the search method to test.
- setSearch(ASSearch) - Method in class weka.classifiers.meta.AttributeSelectedClassifier
-
Sets the search method
- setSearch(ASSearch) - Method in class weka.classifiers.rules.DecisionTable
-
Sets the search method to use
- setSearch(ASSearch) - Method in class weka.filters.supervised.attribute.AttributeSelection
-
Set search class
- setSearchAlgorithm(SearchAlgorithm) - Method in class weka.classifiers.bayes.BayesNet
-
Set the SearchAlgorithm used in searching for network structures.
- setSearchBackwards(boolean) - Method in class weka.attributeSelection.GreedyStepwise
-
Set whether to search backwards instead of forwards
- setSearchMethod(NearestNeighbourSearch) - Method in class weka.core.neighboursearch.FilteredNeighbourSearch
-
Sets the search method
- setSearchStrategy(ASSearch) - Method in class weka.knowledgeflow.steps.ASSearchStrategy
-
Set the search strategy wrapped by this step (calls setWrappedAlgorithm)
- setSearchString(String) - Method in class weka.gui.arffviewer.ArffTable
-
sets the search string to look for in the table, NULL or "" disables the
search
- setSearchTermination(int) - Method in class weka.attributeSelection.BestFirst
-
Set the numnber of non-improving nodes to consider before terminating
search.
- setSeasonalityExpoSmooth(SeasonalityExpoSmooth) - Method in class weka.core.pmml.jaxbbindings.ExponentialSmoothing
-
Sets the value of the seasonalityExpoSmooth property.
- setSecondValueIndex(String) - Method in class weka.filters.unsupervised.attribute.MergeTwoValues
-
Sets index of the second value used.
- setSecondValueIndex(String) - Method in class weka.filters.unsupervised.attribute.SwapValues
-
Sets index of the second value used.
- setSeed(int) - Method in class weka.attributeSelection.AttributeSelection
-
set the seed for use in cross validation
- setSeed(int) - Method in class weka.attributeSelection.ClassifierAttributeEval
-
Set the seed to use for cross validation
- setSeed(int) - Method in class weka.attributeSelection.ClassifierSubsetEval
-
Set the random seed used to randomize the data before performing a
percentage split
- setSeed(int) - Method in class weka.attributeSelection.OneRAttributeEval
-
Set the random number seed for cross validation
- setSeed(int) - Method in class weka.attributeSelection.ReliefFAttributeEval
-
Set the random number seed for randomly sampling instances.
- setSeed(int) - Method in class weka.attributeSelection.WrapperSubsetEval
-
Set the seed to use for cross validation
- setSeed(int) - Method in class weka.classifiers.bayes.net.search.global.GeneticSearch
-
Sets the random number seed
- setSeed(int) - Method in class weka.classifiers.bayes.net.search.global.RepeatedHillClimber
-
Sets the random number seed
- setSeed(int) - Method in class weka.classifiers.bayes.net.search.global.SimulatedAnnealing
-
Sets the random number seed
- setSeed(int) - Method in class weka.classifiers.bayes.net.search.local.GeneticSearch
-
Sets the random number seed
- setSeed(int) - Method in class weka.classifiers.bayes.net.search.local.RepeatedHillClimber
-
Sets the random number seed
- setSeed(int) - Method in class weka.classifiers.bayes.net.search.local.SimulatedAnnealing
-
Sets the random number seed
- setSeed(int) - Method in class weka.classifiers.BVDecompose
-
Sets the random number seed
- setSeed(int) - Method in class weka.classifiers.BVDecomposeSegCVSub
-
Sets the random number seed
- setSeed(int) - Method in class weka.classifiers.evaluation.EvaluationUtils
-
Sets the seed for randomization during cross-validation
- setSeed(int) - Method in class weka.classifiers.functions.MultilayerPerceptron
-
This seeds the random number generator, that is used when a random number
is needed for the network.
- setSeed(int) - Method in class weka.classifiers.functions.supportVector.RegOptimizer
-
Sets the seed value for the random number generator
- setSeed(int) - Method in class weka.classifiers.functions.VotedPerceptron
-
Set the value of Seed.
- setSeed(int) - Method in class weka.classifiers.meta.MultiScheme
-
Sets the seed for random number generation.
- setSeed(int) - Method in class weka.classifiers.RandomizableClassifier
-
Set the seed for random number generation.
- setSeed(int) - Method in class weka.classifiers.RandomizableIteratedSingleClassifierEnhancer
-
Set the seed for random number generation.
- setSeed(int) - Method in class weka.classifiers.RandomizableMultipleClassifiersCombiner
-
Set the seed for random number generation.
- setSeed(int) - Method in class weka.classifiers.RandomizableParallelIteratedSingleClassifierEnhancer
-
Set the seed for random number generation.
- setSeed(int) - Method in class weka.classifiers.RandomizableParallelMultipleClassifiersCombiner
-
Set the seed for random number generation.
- setSeed(int) - Method in class weka.classifiers.RandomizableSingleClassifierEnhancer
-
Set the seed for random number generation.
- setSeed(long) - Method in class weka.classifiers.rules.JRip
-
Sets the seed value to use in randomizing the data
- setSeed(int) - Method in class weka.classifiers.rules.PART
-
Set the value of Seed.
- setSeed(int) - Method in class weka.classifiers.trees.J48
-
Set the value of Seed.
- setSeed(int) - Method in class weka.classifiers.trees.RandomForest
-
Sets the seed for the random number generator.
- setSeed(int) - Method in class weka.classifiers.trees.RandomTree
-
Set the seed for random number generation.
- setSeed(int) - Method in class weka.classifiers.trees.REPTree
-
Set the value of Seed.
- setSeed(int) - Method in class weka.clusterers.RandomizableClusterer
-
Set the seed for random number generation.
- setSeed(int) - Method in class weka.clusterers.RandomizableDensityBasedClusterer
-
Set the seed for random number generation.
- setSeed(int) - Method in class weka.clusterers.RandomizableSingleClustererEnhancer
-
Set the seed for random number generation.
- setSeed(long) - Method in class weka.core.Debug.Random
-
Sets the seed of this random number generator using a single long seed.
- setSeed(int) - Method in class weka.core.neighboursearch.balltrees.MiddleOutConstructor
-
Sets the seed for random number generator (that is used for selecting the
first anchor point randomly).
- setSeed(int) - Method in interface weka.core.Randomizable
-
Set the seed for random number generation.
- setSeed(int) - Method in class weka.core.TestInstances
-
sets the seed value for the random number generator
- setSeed(int) - Method in class weka.datagenerators.classifiers.classification.BayesNet
-
Sets the random number seed.
- setSeed(int) - Method in class weka.datagenerators.DataGenerator
-
Sets the random number seed.
- setSeed(int) - Method in class weka.estimators.UnivariateMixtureEstimator
-
Set the seed for random number generation.
- setSeed(int) - Method in class weka.filters.MultiFilter
-
Set the seed for random number generation.
- setSeed(long) - Method in class weka.filters.supervised.attribute.ClassOrder
-
Set randomization seed
- setSeed(int) - Method in class weka.filters.supervised.instance.Resample
-
- setSeed(int) - Method in class weka.filters.supervised.instance.SpreadSubsample
-
- setSeed(long) - Method in class weka.filters.supervised.instance.StratifiedRemoveFolds
-
Sets the random number seed for shuffling the dataset.
- setSeed(int) - Method in class weka.filters.unsupervised.attribute.AddNoise
-
- setSeed(int) - Method in class weka.filters.unsupervised.attribute.RandomProjection
-
Sets the random seed of the random number generator
- setSeed(int) - Method in class weka.filters.unsupervised.attribute.RandomSubset
-
Set the seed value for the random number generator.
- setSeed(int) - Method in class weka.filters.unsupervised.attribute.ReplaceWithMissingValue
-
Set the random number generator seed value.
- setSeed(int) - Method in class weka.filters.unsupervised.instance.Randomize
-
- setSeed(long) - Method in class weka.filters.unsupervised.instance.RemoveFolds
-
Sets the random number seed for shuffling the dataset.
- setSeed(int) - Method in class weka.filters.unsupervised.instance.Resample
-
- setSeed(int) - Method in class weka.filters.unsupervised.instance.ReservoirSample
-
- setSeed(int) - Method in class weka.gui.beans.CrossValidationFoldMaker
-
Set the seed
- setSeed(int) - Method in class weka.gui.beans.TrainTestSplitMaker
-
Set the random seed
- setSeed(int) - Method in interface weka.gui.boundaryvisualizer.DataGenerator
-
Set a seed for random number generation (if needed).
- setSeed(int) - Method in class weka.gui.boundaryvisualizer.KDDataGenerator
-
Initializes a new random number generator using the supplied seed.
- setSeed(String) - Method in class weka.knowledgeflow.steps.CrossValidationFoldMaker
-
Set the random seed to use
- setSeed(String) - Method in class weka.knowledgeflow.steps.TrainTestSplitMaker
-
Set the random seed to use
- setSegmentId(String) - Method in class weka.core.pmml.jaxbbindings.OutputField
-
Sets the value of the segmentId property.
- setSelectedAttributes(String) - Method in class weka.filters.unsupervised.attribute.RenameNominalValues
-
- setSelectedAttributes(boolean[]) - Method in class weka.gui.AttributeSelectionPanel
-
Set the selected attributes in the widget.
- setSelectedBeans(Vector<Object>) - Method in class weka.gui.beans.KnowledgeFlowApp.MainKFPerspective
-
- setSelectedBeans(int, Vector<Object>) - Method in class weka.gui.beans.KnowledgeFlowApp.MainKFPerspective
-
- setSelectedColumn(int) - Method in class weka.gui.arffviewer.ArffTable
-
sets the selected column
- setSelectedEnumValue(String) - Method in class weka.core.EnumHelper
-
Set the selected/wrapped enum value (as obtained by calling toString() on
the enum value)
- setSelectedListValue(String) - Method in class weka.gui.ResultHistoryPanel
-
Set the selected list entry.
- setSelectedRange(String) - Method in class weka.core.DictionaryBuilder
-
Set the value of m_SelectedRange.
- setSelectedRange(String) - Method in class weka.filters.unsupervised.attribute.StringToWordVector
-
Set the value of m_SelectedRange.
- setSeperator(String) - Method in class weka.gui.HierarchyPropertyParser
-
Set the seperator between levels.
- setSeqId(String) - Method in class weka.core.pmml.jaxbbindings.SequenceReference
-
Sets the value of the seqId property.
- setSequenceModel(SequenceModel) - Method in class weka.core.pmml.jaxbbindings.Segment
-
Sets the value of the sequenceModel property.
- setSequenceReference(SequenceReference) - Method in class weka.core.pmml.jaxbbindings.AntecedentSequence
-
Sets the value of the sequenceReference property.
- setSequenceReference(SequenceReference) - Method in class weka.core.pmml.jaxbbindings.ConsequentSequence
-
Sets the value of the sequenceReference property.
- setSerializedClassifierFile(File) - Method in class weka.filters.supervised.attribute.AddClassification
-
Sets the file pointing to a serialized, trained classifier.
- setSerializedClustererFile(File) - Method in class weka.filters.unsupervised.attribute.AddCluster
-
Sets the file pointing to a serialized, built clusterer.
- setSetId(String) - Method in class weka.core.pmml.jaxbbindings.SetReference
-
Sets the value of the setId property.
- setSetReference(SetReference) - Method in class weka.core.pmml.jaxbbindings.Sequence
-
Sets the value of the setReference property.
- setSetting(String, Settings.SettingKey, Object) - Method in class weka.core.Settings
-
Set a value for a setting.
- setSettings(Settings) - Method in class weka.knowledgeflow.BaseExecutionEnvironment
-
- setSettings(Settings) - Method in interface weka.knowledgeflow.ExecutionEnvironment
-
Set knowledge flow settings for this execution environment
- setSettings(Settings) - Method in interface weka.knowledgeflow.FlowExecutor
-
Convenience method for applying settings - implementers should delegate the
the execution environment
- setSettings(Settings) - Method in class weka.knowledgeflow.FlowRunner
-
Set the settings to use when executing the Flow
- setShape(int) - Method in class weka.gui.treevisualizer.Node
-
Set the value of shape.
- setShapes(ArrayList<ArrayList<Double>>) - Method in class weka.gui.visualize.VisualizePanel
-
This will set the shapes for the instances.
- setShapeSize(int[]) - Method in class weka.gui.visualize.PlotData2D
-
Set the shape sizes for the plot data
- setShapeSize(ArrayList<Object>) - Method in class weka.gui.visualize.PlotData2D
-
Set the shape sizes for the plot data
- setShapeType(int[]) - Method in class weka.gui.visualize.PlotData2D
-
Set the shape type for the plot data
- setShapeType(ArrayList<Integer>) - Method in class weka.gui.visualize.PlotData2D
-
Set the shape type for the plot data
- setShowAndOr(boolean) - Method in class weka.knowledgeflow.steps.FlowByExpression.ExpressionNode
-
Set whether to show the combination operator in the textual description
- setShowAttBars(boolean) - Method in class weka.gui.visualize.VisualizePanel
-
Set whether the attribute bars should be shown or not.
- setShowAttributeIndex(boolean) - Method in class weka.gui.arffviewer.ArffPanel
-
Sets whether to display the attribute index in the header.
- setShowAttributeIndex(boolean) - Method in class weka.gui.arffviewer.ArffSortedTableModel
-
Sets whether to display the attribute index in the header.
- setShowAttributeIndex(boolean) - Method in class weka.gui.arffviewer.ArffTableModel
-
Sets whether to display the attribute index in the header.
- setShowAverage(boolean) - Method in class weka.experiment.ResultMatrix
-
sets whether to display the average per column or not.
- setShowClassPanel(boolean) - Method in class weka.gui.visualize.VisualizePanel
-
Set whether the class panel should be shown or not.
- setShowGlobalInfoToolTips(boolean) - Static method in class weka.gui.GenericObjectEditor
-
- setShowLeafTipText(boolean) - Method in class weka.gui.knowledgeflow.StepTree
-
Turn on or off tool tip text popups for the steps in the tree
- setShowStdDev(boolean) - Method in class weka.experiment.ResultMatrix
-
sets whether to display the std deviations or not.
- setShowStdDev(boolean) - Method in class weka.experiment.ResultMatrixSignificance
-
sets whether to display the std deviations or not - always false!
- setShowStdDevs(boolean) - Method in class weka.experiment.PairedTTester
-
Set whether standard deviations are displayed or not.
- setShowStdDevs(boolean) - Method in interface weka.experiment.Tester
-
Set whether standard deviations are displayed or not.
- setShowTipTexts(boolean) - Method in class weka.gui.knowledgeflow.StepTreeLeafDetails
-
Set whether to show tip text or not
- setShowZeroInstancesAsUnknown(boolean) - Method in class weka.gui.InstancesSummaryPanel
-
Set whether to show zero instances as unknown (i.e.
- setShrinkage(double) - Method in class weka.classifiers.meta.AdditiveRegression
-
Set the shrinkage parameter
- setShrinkage(double) - Method in class weka.classifiers.meta.LogitBoost
-
Set the value of Shrinkage.
- setSigma(int) - Method in class weka.attributeSelection.ReliefFAttributeEval
-
Sets the sigma value.
- setSigma(double) - Method in class weka.classifiers.functions.supportVector.Puk
-
Sets the sigma value.
- setSignificance(int, int, int) - Method in class weka.experiment.ResultMatrix
-
sets the significance at the given position (if the position is valid).
- setSignificanceLevel(double) - Method in class weka.associations.Apriori
-
Set the value of significanceLevel.
- setSignificanceLevel(double) - Method in class weka.experiment.PairedTTester
-
Set the value of SignificanceLevel.
- setSignificanceLevel(double) - Method in interface weka.experiment.Tester
-
Set the value of SignificanceLevel.
- setSignificanceLevel(double) - Method in class weka.filters.supervised.attribute.MergeNominalValues
-
Sets the significance level.
- setSignificanceWidth(int) - Method in class weka.experiment.ResultMatrix
-
sets the width for the significance (0 = optimal).
- setSilent(boolean) - Method in class weka.core.AllJavadoc
-
sets whether to suppress output in the console
- setSilent(boolean) - Method in class weka.core.Check
-
Set slient mode, i.e., no output at all to stdout
- setSilent(boolean) - Method in class weka.core.Javadoc
-
sets whether to suppress output in the console
- setSilent(boolean) - Method in class weka.estimators.CheckEstimator
-
Set slient mode, i.e., no output at all to stdout
- setSimilarityScale(Double) - Method in class weka.core.pmml.jaxbbindings.ClusteringField
-
Sets the value of the similarityScale property.
- setSimilarityType(String) - Method in class weka.core.pmml.jaxbbindings.TextModelSimiliarity
-
Sets the value of the similarityType property.
- setSimpleMatching(SimpleMatching) - Method in class weka.core.pmml.jaxbbindings.ComparisonMeasure
-
Sets the value of the simpleMatching property.
- setSimplePredicate(SimplePredicate) - Method in class weka.core.pmml.jaxbbindings.Attribute
-
Sets the value of the simplePredicate property.
- setSimplePredicate(SimplePredicate) - Method in class weka.core.pmml.jaxbbindings.CompoundRule
-
Sets the value of the simplePredicate property.
- setSimplePredicate(SimplePredicate) - Method in class weka.core.pmml.jaxbbindings.Segment
-
Sets the value of the simplePredicate property.
- setSimplePredicate(SimplePredicate) - Method in class weka.core.pmml.jaxbbindings.SimpleRule
-
Sets the value of the simplePredicate property.
- setSimpleSetPredicate(SimpleSetPredicate) - Method in class weka.core.pmml.jaxbbindings.Attribute
-
Sets the value of the simpleSetPredicate property.
- setSimpleSetPredicate(SimpleSetPredicate) - Method in class weka.core.pmml.jaxbbindings.CompoundRule
-
Sets the value of the simpleSetPredicate property.
- setSimpleSetPredicate(SimpleSetPredicate) - Method in class weka.core.pmml.jaxbbindings.Segment
-
Sets the value of the simpleSetPredicate property.
- setSimpleSetPredicate(SimpleSetPredicate) - Method in class weka.core.pmml.jaxbbindings.SimpleRule
-
Sets the value of the simpleSetPredicate property.
- setSIndex(int) - Method in class weka.gui.visualize.VisualizePanel
-
Set the shape for creating splits.
- setSingle(String) - Method in class weka.gui.ResultHistoryPanel
-
Sets the single-click display to view the named result.
- setSingleIndex(String) - Method in class weka.core.SingleIndex
-
Sets the index from a string representation.
- setSingleLineCommentStart(String) - Method in class weka.gui.scripting.SyntaxDocument
-
Sets the string that is the start of a single-line comment.
- setSize(int) - Method in class weka.core.matrix.DoubleVector
-
Sets the size of the vector
- setSize(int) - Method in class weka.core.matrix.IntVector
-
Sets the size of the vector.
- setSize(BigInteger) - Method in class weka.core.pmml.jaxbbindings.Cluster
-
Sets the value of the size property.
- setSize(Double) - Method in class weka.core.pmml.jaxbbindings.Partition
-
Sets the value of the size property.
- setSize(int, int) - Method in class weka.experiment.ResultMatrix
-
clears the content of the matrix and sets the new size.
- setSkipIdentical(boolean) - Method in class weka.core.neighboursearch.LinearNNSearch
-
Sets the property to skip identical instances (with distance zero from
the target) from the set of neighbours returned.
- setSmoothedValue(Double) - Method in class weka.core.pmml.jaxbbindings.Level
-
Sets the value of the smoothedValue property.
- setSmoothedValue(Double) - Method in class weka.core.pmml.jaxbbindings.TrendExpoSmooth
-
Sets the value of the smoothedValue property.
- setSmoothing(boolean) - Method in class weka.classifiers.trees.m5.Rule
-
Smooth predictions
- setSMOReg(SMOreg) - Method in class weka.classifiers.functions.supportVector.RegOptimizer
-
sets the parent SVM
- setSort(boolean) - Method in class weka.filters.unsupervised.attribute.AddValues
-
Sets whether the labels are sorted.
- setSortColumn(int) - Method in class weka.experiment.PairedTTester
-
Set the column to sort on, -1 means the default sorting.
- setSortColumn(int) - Method in interface weka.experiment.Tester
-
Set the column to sort on, -1 means the default sorting.
- setSortDetails(String) - Method in class weka.gui.beans.Sorter
-
Set the sort rules to use
- setSortDetails(String) - Method in class weka.knowledgeflow.steps.Sorter
-
Set the sort rules to use
- setSortDictionary(boolean) - Method in class weka.core.DictionaryBuilder
-
Set whether to keep the dictionary sorted alphabetically as it is built.
- setSortType(SelectedTag) - Method in class weka.filters.unsupervised.attribute.SortLabels
-
Sets the sort type to be used.
- setSource(File) - Method in class weka.core.converters.AbstractFileLoader
-
Resets the Loader object and sets the source of the data set to be the
supplied File object.
- setSource(File) - Method in class weka.core.converters.AbstractLoader
-
Default implementation throws an IOException.
- setSource(InputStream) - Method in class weka.core.converters.AbstractLoader
-
Default implementation throws an IOException.
- setSource(URL) - Method in class weka.core.converters.ArffLoader
-
Resets the Loader object and sets the source of the data set to be the
supplied url.
- setSource(InputStream) - Method in class weka.core.converters.ArffLoader
-
Resets the Loader object and sets the source of the data set to be the
supplied InputStream.
- setSource(File) - Method in class weka.core.converters.C45Loader
-
Resets the Loader object and sets the source of the data set to be the
supplied File object.
- setSource(InputStream) - Method in class weka.core.converters.CSVLoader
-
Resets the Loader object and sets the source of the data set to be the
supplied Stream object.
- setSource(File) - Method in class weka.core.converters.CSVLoader
-
Resets the Loader object and sets the source of the data set to be the
supplied File object.
- setSource(String, String, String) - Method in class weka.core.converters.DatabaseLoader
-
Sets the database url, user and pw
- setSource(String) - Method in class weka.core.converters.DatabaseLoader
-
Sets the database url
- setSource() - Method in class weka.core.converters.DatabaseLoader
-
Sets the database url using the DatabaseUtils file
- setSource(File) - Method in class weka.core.converters.JSONLoader
-
Resets the Loader object and sets the source of the data set to be
the supplied File object.
- setSource(URL) - Method in class weka.core.converters.JSONLoader
-
Resets the Loader object and sets the source of the data set to be
the supplied url.
- setSource(InputStream) - Method in class weka.core.converters.JSONLoader
-
Resets the Loader object and sets the source of the data set to be
the supplied InputStream.
- setSource(URL) - Method in class weka.core.converters.LibSVMLoader
-
Resets the Loader object and sets the source of the data set to be the
supplied url.
- setSource(InputStream) - Method in class weka.core.converters.LibSVMLoader
-
Resets the Loader object and sets the source of the data set to be the
supplied InputStream.
- setSource(File) - Method in interface weka.core.converters.Loader
-
Resets the Loader object and sets the source of the data set to be the
supplied File object.
- setSource(InputStream) - Method in interface weka.core.converters.Loader
-
Resets the Loader object and sets the source of the data set to be the
supplied InputStream.
- setSource(URL) - Method in class weka.core.converters.MatlabLoader
-
Resets the Loader object and sets the source of the data set to be
the supplied url.
- setSource(InputStream) - Method in class weka.core.converters.MatlabLoader
-
Resets the Loader object and sets the source of the data set to be
the supplied InputStream.
- setSource(InputStream) - Method in class weka.core.converters.SerializedInstancesLoader
-
Resets the Loader object and sets the source of the data set to be
the supplied InputStream.
- setSource(URL) - Method in class weka.core.converters.SVMLightLoader
-
Resets the Loader object and sets the source of the data set to be
the supplied url.
- setSource(InputStream) - Method in class weka.core.converters.SVMLightLoader
-
Resets the Loader object and sets the source of the data set to be
the supplied InputStream.
- setSource(File) - Method in class weka.core.converters.TextDirectoryLoader
-
Resets the Loader object and sets the source of the data set to be the
supplied File object.
- setSource(File) - Method in class weka.core.converters.XRFFLoader
-
Resets the Loader object and sets the source of the data set to be
the supplied File object.
- setSource(URL) - Method in class weka.core.converters.XRFFLoader
-
Resets the Loader object and sets the source of the data set to be
the supplied url.
- setSource(InputStream) - Method in class weka.core.converters.XRFFLoader
-
Resets the Loader object and sets the source of the data set to be
the supplied InputStream.
- setSource(Package) - Method in class weka.core.packageManagement.Dependency
-
Set the source package.
- setSource(Node) - Method in class weka.gui.treevisualizer.Edge
-
Set the value of source.
- setSourceCode(Classifier) - Method in class weka.classifiers.CheckSource
-
Sets the class to test.
- setSourceCode(Filter) - Method in class weka.filters.CheckSource
-
Sets the class to test.
- setSourceStep(Step) - Method in class weka.knowledgeflow.Data
-
Set the source step of producing this Data object
- setSparseData(boolean) - Method in class weka.core.converters.DatabaseLoader
-
Sets whether data should be encoded as sparse instances
- setSparseData(boolean) - Method in class weka.experiment.InstanceQuery
-
Sets whether data should be encoded as sparse instances
- setSplitByDataSet(boolean) - Method in class weka.experiment.RemoteExperiment
-
Set whether sub experiments are to be created on the basis of data set.
- setSplitByProperty(boolean) - Method in class weka.experiment.RemoteExperiment
-
Set whether sub experiments are to be created on the basis of property.
- setSplitCharacteristic(String) - Method in class weka.core.pmml.jaxbbindings.DecisionTree
-
Sets the value of the splitCharacteristic property.
- setSplitCharacteristic(String) - Method in class weka.core.pmml.jaxbbindings.TreeModel
-
Sets the value of the splitCharacteristic property.
- setSplitConfidence(double) - Method in class weka.classifiers.trees.HoeffdingTree
-
Set the allowable error in a split decision.
- setSplitCriterion(SelectedTag) - Method in class weka.classifiers.trees.HoeffdingTree
-
Set the split criterion to use (either Gini or info gain).
- setSplitEvaluator(SplitEvaluator) - Method in class weka.experiment.CrossValidationResultProducer
-
Set the SplitEvaluator.
- setSplitEvaluator(SplitEvaluator) - Method in class weka.experiment.ExplicitTestsetResultProducer
-
Set the SplitEvaluator.
- setSplitEvaluator(SplitEvaluator) - Method in class weka.experiment.RandomSplitResultProducer
-
Set the SplitEvaluator.
- setSplitOnResiduals(boolean) - Method in class weka.classifiers.trees.LMT
-
Set the value of splitOnResiduals.
- setSplitPercent(String) - Method in class weka.attributeSelection.ClassifierSubsetEval
-
Set the split percentage to use
- setSplitPercentage(double) - Method in class weka.classifiers.meta.IterativeClassifierOptimizer
-
Set the value of SplitPercentage.
- setSplitPoint(Instances) - Method in class weka.classifiers.trees.j48.BinC45Split
-
Sets split point to greatest value in given data smaller or equal to old
split point.
- setSplitPoint(Instances) - Method in class weka.classifiers.trees.j48.C45Split
-
Sets split point to greatest value in given data smaller or equal to old
split point.
- setSplitPoint(double) - Method in class weka.filters.unsupervised.instance.RemoveWithValues
-
Split point to be used for selection on numeric attribute.
- setSpreadAttributeWeight(boolean) - Method in class weka.filters.supervised.attribute.ClassConditionalProbabilities
-
If true, when generating attributes, spread weight of old
attribute across new attributes.
- setSpreadAttributeWeight(boolean) - Method in class weka.filters.supervised.attribute.Discretize
-
If true, when generating binary attributes, spread weight of old
attribute across new attributes.
- setSpreadAttributeWeight(boolean) - Method in class weka.filters.supervised.attribute.NominalToBinary
-
If true, when generating binary attributes, spread weight of old
attribute across new attributes.
- setSpreadAttributeWeight(boolean) - Method in class weka.filters.unsupervised.attribute.Discretize
-
If true, when generating binary attributes, spread weight of old
attribute across new attributes.
- setSpreadAttributeWeight(boolean) - Method in class weka.filters.unsupervised.attribute.NominalToBinary
-
If true, when generating binary attributes, spread weight of old
attribute across new attributes.
- setSpreadInitialCount(boolean) - Method in class weka.classifiers.trees.REPTree
-
Set the value of SpreadInitialCount.
- setSqlWhere(String) - Method in class weka.core.pmml.jaxbbindings.Aggregate
-
Sets the value of the sqlWhere property.
- setSquaredEuclidean(SquaredEuclidean) - Method in class weka.core.pmml.jaxbbindings.ComparisonMeasure
-
Sets the value of the squaredEuclidean property.
- setSSB(Double) - Method in class weka.core.pmml.jaxbbindings.ClusteringModelQuality
-
Sets the value of the ssb property.
- setSSE(Double) - Method in class weka.core.pmml.jaxbbindings.ClusteringModelQuality
-
Sets the value of the sse property.
- setStandardDeviation(Double) - Method in class weka.core.pmml.jaxbbindings.NumericInfo
-
Sets the value of the standardDeviation property.
- setStandardDeviation(Double) - Method in class weka.core.pmml.jaxbbindings.Time
-
Sets the value of the standardDeviation property.
- setStandardError(Double) - Method in class weka.core.pmml.jaxbbindings.TimeValue
-
Sets the value of the standardError property.
- setStartEndIndices(int, int) - Method in class weka.core.neighboursearch.balltrees.BallNode
-
Sets the the start and end index of the
portion of the master index array that is
assigned to this node.
- setStartSequentially(boolean) - Method in class weka.gui.beans.FlowRunner
-
Set whether to launch Startable beans one after the other or all in
parallel.
- setStartSet(String) - Method in class weka.attributeSelection.BestFirst
-
Sets a starting set of attributes for the search.
- setStartSet(String) - Method in class weka.attributeSelection.GreedyStepwise
-
Sets a starting set of attributes for the search.
- setStartSet(String) - Method in class weka.attributeSelection.Ranker
-
Sets a starting set of attributes for the search.
- setStartSet(String) - Method in interface weka.attributeSelection.StartSetHandler
-
Sets a starting set of attributes for the search.
- setStartTime(Double) - Method in class weka.core.pmml.jaxbbindings.TimeSeries
-
Sets the value of the startTime property.
- setStartTimeVariable(String) - Method in class weka.core.pmml.jaxbbindings.GeneralRegressionModel
-
Sets the value of the startTimeVariable property.
- setStatic() - Method in class weka.gui.beans.BeanVisual
-
Deprecated.
- setStaticArgs(String) - Method in class weka.knowledgeflow.steps.ExecuteProcess
-
Set the arguments for the static command
- setStaticCmd(String) - Method in class weka.knowledgeflow.steps.ExecuteProcess
-
Set the static command to be executed
- setStaticWorkingDir(String) - Method in class weka.knowledgeflow.steps.ExecuteProcess
-
Set the working directory for the static command
- setStats(Stats) - Method in class weka.core.expressionlanguage.weka.StatsHelper
-
Sets the corresponding Stats object
- setStatus(int) - Method in class weka.gui.beans.IncrementalClassifierEvent
-
Set the status
- setStatus(int) - Method in class weka.gui.beans.InstanceEvent
-
Set the status
- setStatusFrequency(int) - Method in class weka.gui.beans.IncrementalClassifierEvaluator
-
Set how often progress is reported to the status bar.
- setStatusFrequency(int) - Method in class weka.knowledgeflow.steps.IncrementalClassifierEvaluator
-
Set how often progress is reported to the status bar.
- setStatusMessage(String) - Method in class weka.experiment.TaskStatusInfo
-
Set the status message.
- setStatusVariable(String) - Method in class weka.core.pmml.jaxbbindings.GeneralRegressionModel
-
Sets the value of the statusVariable property.
- setStdDev(int, int, double) - Method in class weka.experiment.ResultMatrix
-
sets the std deviation at the given position (if the position is valid).
- setStdDevPrec(int) - Method in class weka.experiment.ResultMatrix
-
sets the precision for the standard deviation.
- setStdDevWidth(int) - Method in class weka.experiment.ResultMatrix
-
sets the width for the std dev (0 = optimal).
- setStdError(Double) - Method in class weka.core.pmml.jaxbbindings.MultivariateStat
-
Sets the value of the stdError property.
- setStemmer(Stemmer) - Method in class weka.classifiers.bayes.NaiveBayesMultinomialText
-
the stemming algorithm to use, null means no stemming at all (i.e., the
NullStemmer is used).
- setStemmer(Stemmer) - Method in class weka.classifiers.functions.SGDText
-
the stemming algorithm to use, null means no stemming at all (i.e., the
NullStemmer is used).
- setStemmer(Stemmer) - Method in class weka.core.converters.DictionarySaver
-
the stemming algorithm to use, null means no stemming at all (i.e., the
NullStemmer is used).
- setStemmer(Stemmer) - Method in class weka.core.DictionaryBuilder
-
the stemming algorithm to use, null means no stemming at all (i.e., the
NullStemmer is used).
- setStemmer(String) - Method in class weka.core.stemmers.SnowballStemmer
-
sets the stemmer with the given name, e.g., "porter".
- setStemmer(Stemmer) - Method in class weka.filters.unsupervised.attribute.FixedDictionaryStringToWordVector
-
the stemming algorithm to use, null means no stemming at all (i.e., the
NullStemmer is used).
- setStemmer(Stemmer) - Method in class weka.filters.unsupervised.attribute.StringToWordVector
-
the stemming algorithm to use, null means no stemming at all (i.e., the
NullStemmer is used).
- setStep(Step) - Method in class weka.gui.knowledgeflow.BaseInteractiveViewer
-
Set the step that owns this viewer.
- setStep(Step) - Method in interface weka.gui.knowledgeflow.StepInteractiveViewer
-
Set the step that owns this viewer.
- setStepIsResourceIntensive(boolean) - Method in interface weka.knowledgeflow.StepManager
-
Mark the step managed by this step manager as resource intensive
- setStepIsResourceIntensive(boolean) - Method in class weka.knowledgeflow.StepManagerImpl
-
Set whether the managed step is resource (cpu/memory) intensive or not
- setStepIsResourceIntensive(boolean) - Method in class weka.knowledgeflow.steps.BaseStep
-
Set whether this step is resource intensive (cpu/memory) or not.
- setStepManager(StepManagerImpl) - Method in class weka.gui.knowledgeflow.NoteVisual
-
Set the StepManagerImpl
for the step covered by this visual
- setStepManager(StepManagerImpl) - Method in class weka.gui.knowledgeflow.StepVisual
-
Set the step manager for this visual
- setStepManager(StepManager) - Method in class weka.knowledgeflow.steps.BaseStep
-
Set the step manager for this step
- setStepManager(StepManager) - Method in interface weka.knowledgeflow.steps.Step
-
Set the step manager to use with this step.
- setStepMustRunSingleThreaded(boolean) - Method in interface weka.knowledgeflow.StepManager
-
Marked the step managed by this step manager as one that must run
single-threaded.
- setStepMustRunSingleThreaded(boolean) - Method in class weka.knowledgeflow.StepManagerImpl
-
Set whether the managed step must run single-threaded.
- setStepMustRunSingleThreaded(boolean) - Method in class weka.knowledgeflow.steps.BaseStep
-
Set whether this step must run single threaded.
- setStepName(String) - Method in class weka.gui.knowledgeflow.StepVisual
-
Convenience method for setting the name of the step that this visual wraps
- setStepProperty(String, Object) - Method in class weka.knowledgeflow.StepManagerImpl
-
Set a property for this step
- setStepSize(int) - Method in class weka.classifiers.meta.IterativeClassifierOptimizer
-
Set the value of StepSize.
- setStepsize(BigInteger) - Method in class weka.core.pmml.jaxbbindings.TimeAnchor
-
Sets the value of the stepsize property.
- setStepSize(int) - Method in class weka.experiment.LearningRateResultProducer
-
Set the value of StepSize.
- setStepToEdit(Step) - Method in class weka.gui.knowledgeflow.steps.ASEvaluatorStepEditorDialog
-
Set the step to edit in this dialog
- setStepToEdit(Step) - Method in class weka.gui.knowledgeflow.steps.ClassAssignerStepEditorDialog
-
Set the step being edited
- setStepToEdit(Step) - Method in class weka.gui.knowledgeflow.steps.ClassifierPerformanceEvaluatorStepEditorDialog
-
Set the step to edit
- setStepToEdit(Step) - Method in class weka.gui.knowledgeflow.steps.ClassValuePickerStepEditorDialog
-
Set the step to edit
- setStepToEdit(Step) - Method in class weka.gui.knowledgeflow.steps.LoaderStepEditorDialog
-
Set the step to edit in this editor
- setStepToEdit(Step) - Method in class weka.gui.knowledgeflow.steps.SaverStepEditorDialog
-
Set the step to edit
- setStepToEdit(Step) - Method in class weka.gui.knowledgeflow.steps.SendToPerspectiveStepEditorDialog
-
Sets the step to edit and configures the dialog
- setStepToWaitFor(String) - Method in class weka.knowledgeflow.steps.Block
-
Set the step to wait for
- setStepVisual(StepVisual) - Method in class weka.knowledgeflow.StepManagerImpl
-
Set the step visual to use when running in a graphical environment
- setStopRequested(boolean) - Method in class weka.knowledgeflow.StepManagerImpl
-
Set the status of the stop requested flag
- setStopwords(File) - Method in class weka.core.stopwords.AbstractFileBasedStopwords
-
Sets the file containing the stopwords, null or a directory unset the
stopwords.
- setStopwords(StopwordsHandler[]) - Method in class weka.core.stopwords.MultiStopwords
-
Sets the stopwords algorithms.
- setStopwordsHandler(StopwordsHandler) - Method in class weka.classifiers.bayes.NaiveBayesMultinomialText
-
Sets the stopwords handler to use.
- setStopwordsHandler(StopwordsHandler) - Method in class weka.classifiers.functions.SGDText
-
Sets the stopwords handler to use.
- setStopwordsHandler(StopwordsHandler) - Method in class weka.core.converters.DictionarySaver
-
Sets the stopwords handler to use.
- setStopwordsHandler(StopwordsHandler) - Method in class weka.core.DictionaryBuilder
-
Sets the stopwords handler to use.
- setStopwordsHandler(StopwordsHandler) - Method in class weka.filters.unsupervised.attribute.FixedDictionaryStringToWordVector
-
Sets the stopwords handler to use.
- setStopwordsHandler(StopwordsHandler) - Method in class weka.filters.unsupervised.attribute.StringToWordVector
-
Sets the stopwords handler to use.
- setStoreOutOfBagPredictions(boolean) - Method in class weka.classifiers.meta.Bagging
-
Set whether the out of bag predictions are stored.
- setString(String, String) - Method in class weka.core.expressionlanguage.common.SimpleVariableDeclarations.VariableInitializer
-
Sets the value of a string variable
- setStringAttributes(String) - Method in class weka.core.converters.CSVLoader
-
Sets the attribute range to be forced to type string.
- setStringValue(String) - Method in class weka.core.Attribute
-
Clear the map and list of values and set them to contain just the supplied
value
- setStroke(Stroke) - Method in class weka.gui.visualize.PostscriptGraphics
-
- setStructure(Instances) - Method in class weka.core.converters.AbstractSaver
-
Sets the strcuture of the instances for the first step of incremental
saving.
- setStructure(Instances) - Method in class weka.gui.beans.IncrementalClassifierEvent
-
Set the instances structure
- setStructure(Instances) - Method in class weka.gui.beans.InstanceEvent
-
Set the instances structure
- setSubFlow(Vector<Object>) - Method in class weka.gui.beans.MetaBean
-
- setSubFlowPreview(ImageIcon) - Method in class weka.gui.beans.MetaBean
-
- setSubjectIDVariable(String) - Method in class weka.core.pmml.jaxbbindings.GeneralRegressionModel
-
Sets the value of the subjectIDVariable property.
- setSubsequenceLength(int) - Method in class weka.classifiers.functions.supportVector.StringKernel
-
Sets the length of the subsequence.
- setSubSpaceSize(double) - Method in class weka.classifiers.meta.RandomSubSpace
-
Sets the size of each subSpace, as a percentage of the training set size.
- setSubtreeRaising(boolean) - Method in class weka.classifiers.trees.J48
-
Set the value of subtreeRaising.
- setSummary(int[][], int[][]) - Method in class weka.experiment.ResultMatrix
-
sets the non-significant and significant wins of the resultsets.
- setSumOfSquares(double) - Method in class weka.core.pmml.jaxbbindings.AnovaRow
-
Sets the value of the sumOfSquares property.
- setSumSquaredError(Double) - Method in class weka.core.pmml.jaxbbindings.PredictiveModelQuality
-
Sets the value of the sumSquaredError property.
- setSumSquaredRegression(Double) - Method in class weka.core.pmml.jaxbbindings.PredictiveModelQuality
-
Sets the value of the sumSquaredRegression property.
- setSupport(BigDecimal) - Method in class weka.core.pmml.jaxbbindings.AssociationRule
-
Sets the value of the support property.
- setSupport(BigDecimal) - Method in class weka.core.pmml.jaxbbindings.Itemset
-
Sets the value of the support property.
- setSupport(Double) - Method in class weka.core.pmml.jaxbbindings.Sequence
-
Sets the value of the support property.
- setSupport(double) - Method in class weka.core.pmml.jaxbbindings.SequenceRule
-
Sets the value of the support property.
- setSupportVectorMachineModel(SupportVectorMachineModel) - Method in class weka.core.pmml.jaxbbindings.Segment
-
Sets the value of the supportVectorMachineModel property.
- setSupportVectors(SupportVectors) - Method in class weka.core.pmml.jaxbbindings.SupportVectorMachine
-
Sets the value of the supportVectors property.
- setSuppressErrorMessage(boolean) - Method in class weka.classifiers.functions.SimpleLinearRegression
-
Turn off the error message that is reported when no useful attribute is
found.
- setSuppressMappingReport(boolean) - Method in class weka.classifiers.misc.InputMappedClassifier
-
Set whether to suppress output the report of model to input mappings.
- setSuppressOutput(boolean) - Method in class weka.classifiers.evaluation.output.prediction.AbstractOutput
-
Sets whether to the regular output is suppressed in case the output is
stored in a file.
- setSuppressWarnings(boolean) - Method in class weka.core.xml.XMLSerialization
-
Set whether to suppress warning messages or not
- setSvmRepresentation(SVMREPRESENTATION) - Method in class weka.core.pmml.jaxbbindings.SupportVectorMachineModel
-
Sets the value of the svmRepresentation property.
- setT1(double) - Method in class weka.clusterers.Canopy
-
Set the T1 distance.
- setT2(double) - Method in class weka.clusterers.Canopy
-
Set the T2 distance to use.
- setTableLocator(TableLocator) - Method in class weka.core.pmml.jaxbbindings.ChildParent
-
Sets the value of the tableLocator property.
- setTableLocator(TableLocator) - Method in class weka.core.pmml.jaxbbindings.MapValues
-
Sets the value of the tableLocator property.
- setTableLocator(TableLocator) - Method in class weka.core.pmml.jaxbbindings.TrainingInstances
-
Sets the value of the tableLocator property.
- setTableName(String) - Method in class weka.core.converters.DatabaseSaver
-
Sets the table's name.
- setTabs(int) - Method in class weka.gui.scripting.SyntaxDocument
-
sets the number of characters per tab.
- setTabTitle(String) - Method in class weka.gui.beans.KnowledgeFlowApp.MainKFPerspective
-
- setTabTitle(int, String) - Method in class weka.gui.beans.KnowledgeFlowApp.MainKFPerspective
-
- setTabuList(int) - Method in class weka.classifiers.bayes.net.search.global.TabuSearch
-
Sets the Tabu List length.
- setTabuList(int) - Method in class weka.classifiers.bayes.net.search.local.TabuSearch
-
Sets the Tabu List length.
- setTanimoto(Tanimoto) - Method in class weka.core.pmml.jaxbbindings.ComparisonMeasure
-
Sets the value of the tanimoto property.
- setTarget(PackageConstraint) - Method in class weka.core.packageManagement.Dependency
-
Set the target package constraint.
- setTarget(String) - Method in class weka.core.pmml.jaxbbindings.Anova
-
Sets the value of the target property.
- setTarget(Object) - Method in class weka.gui.PropertySheetPanel
-
Sets a new target object for customisation.
- setTarget(Node) - Method in class weka.gui.treevisualizer.Edge
-
Set the value of target.
- setTargetCategory(String) - Method in class weka.core.pmml.jaxbbindings.MultivariateStats
-
Sets the value of the targetCategory property.
- setTargetCategory(String) - Method in class weka.core.pmml.jaxbbindings.PCell
-
Sets the value of the targetCategory property.
- setTargetCategory(String) - Method in class weka.core.pmml.jaxbbindings.PCovCell
-
Sets the value of the targetCategory property.
- setTargetCategory(String) - Method in class weka.core.pmml.jaxbbindings.PPCell
-
Sets the value of the targetCategory property.
- setTargetCategory(String) - Method in class weka.core.pmml.jaxbbindings.RegressionTable
-
Sets the value of the targetCategory property.
- setTargetCategory(String) - Method in class weka.core.pmml.jaxbbindings.SupportVectorMachine
-
Sets the value of the targetCategory property.
- setTargetField(String) - Method in class weka.core.pmml.jaxbbindings.OutputField
-
Sets the value of the targetField property.
- setTargetField(String) - Method in class weka.core.pmml.jaxbbindings.PredictiveModelQuality
-
Sets the value of the targetField property.
- setTargetFieldDisplayValue(String) - Method in class weka.core.pmml.jaxbbindings.LiftData
-
Sets the value of the targetFieldDisplayValue property.
- setTargetFieldName(String) - Method in class weka.core.pmml.jaxbbindings.RegressionModel
-
Sets the value of the targetFieldName property.
- setTargetFieldValue(String) - Method in class weka.core.pmml.jaxbbindings.LiftData
-
Sets the value of the targetFieldValue property.
- setTargetReferenceCategory(String) - Method in class weka.core.pmml.jaxbbindings.GeneralRegressionModel
-
Sets the value of the targetReferenceCategory property.
- setTargets(Targets) - Method in class weka.core.pmml.jaxbbindings.DecisionTree
-
Sets the value of the targets property.
- setTargets(Targets) - Method in class weka.core.pmml.jaxbbindings.Regression
-
Sets the value of the targets property.
- setTargetValueCounts(TargetValueCounts) - Method in class weka.core.pmml.jaxbbindings.BayesOutput
-
Sets the value of the targetValueCounts property.
- setTargetValueCounts(TargetValueCounts) - Method in class weka.core.pmml.jaxbbindings.PairCounts
-
Sets the value of the targetValueCounts property.
- setTargetVariableName(String) - Method in class weka.core.pmml.jaxbbindings.GeneralRegressionModel
-
Sets the value of the targetVariableName property.
- setTaskResult(Object) - Method in class weka.experiment.TaskStatusInfo
-
Set the returnable result for this task..
- setTaxonomy(String) - Method in class weka.core.pmml.jaxbbindings.DataField
-
Sets the value of the taxonomy property.
- setTaxonomy(Taxonomy) - Method in class weka.core.pmml.jaxbbindings.TextDictionary
-
Sets the value of the taxonomy property.
- setTCol(String) - Method in class weka.core.pmml.jaxbbindings.PCovCell
-
Sets the value of the tCol property.
- setTempDirectory(String) - Method in class weka.gui.beans.Sorter
-
Set the directory to use for temporary files during incremental operation
- setTempDirectory(File) - Method in class weka.knowledgeflow.steps.Sorter
-
Set the directory to use for temporary files during incremental operation
- setTestBaseFromDialog() - Method in class weka.gui.experiment.ResultsPanel
-
- setTestEvaluator(boolean) - Method in class weka.attributeSelection.CheckAttributeSelection
-
Sets whether the evaluator or the search method is being tested.
- setTestSet(DataSetEvent) - Method in class weka.gui.beans.BatchClassifierEvent
-
Set the test set
- setTestsetDir(File) - Method in class weka.experiment.ExplicitTestsetResultProducer
-
Sets the directory to use for the test sets.
- setTestsetPrefix(String) - Method in class weka.experiment.ExplicitTestsetResultProducer
-
Sets the prefix to use for the test sets.
- setTestsetSuffix(String) - Method in class weka.experiment.ExplicitTestsetResultProducer
-
Sets the suffix to use for the test sets.
- setTestStatistic(BASELINETESTSTATISTIC) - Method in class weka.core.pmml.jaxbbindings.TestDistributions
-
Sets the value of the testStatistic property.
- setTestStructure(Instances) - Method in class weka.classifiers.misc.InputMappedClassifier
-
Set the test structure (if known in advance) that we are likely to see.
- setText(String) - Method in class weka.gui.beans.BeanVisual
-
Set the label for the visual.
- setText(String) - Method in class weka.gui.beans.EnvironmentField
-
Deprecated.
Set the text to display in the editable combo box.
- setText(String) - Method in class weka.gui.EnvironmentField
-
Set the text to display in the editable combo box.
- setText(String) - Method in class weka.gui.PasswordField
-
- setTextModel(TextModel) - Method in class weka.core.pmml.jaxbbindings.Segment
-
Sets the value of the textModel property.
- setTextNotificationListener(TextViewer.TextNotificationListener) - Method in class weka.knowledgeflow.steps.TextViewer
-
Set the listener to be notified about new textual results
- setTFTransform(boolean) - Method in class weka.core.DictionaryBuilder
-
Sets whether if the word frequencies should be transformed into log(1+fij)
where fij is the frequency of word i in document(instance) j.
- setTFTransform(boolean) - Method in class weka.filters.unsupervised.attribute.FixedDictionaryStringToWordVector
-
Sets whether if the word frequencies should be transformed into log(1+fij)
where fij is the frequency of word i in document(instance) j.
- setTFTransform(boolean) - Method in class weka.filters.unsupervised.attribute.StringToWordVector
-
Sets whether if the word frequencies should be transformed into log(1+fij)
where fij is the frequency of word i in document(instance) j.
- setThreshold(double) - Method in class weka.attributeSelection.ClassifierAttributeEval
-
Set the value of the threshold for repeating cross validation
- setThreshold(double) - Method in class weka.attributeSelection.GreedyStepwise
-
Set the threshold by which the AttributeSelection module can discard
attributes.
- setThreshold(double) - Method in interface weka.attributeSelection.RankedOutputSearch
-
Sets a threshold by which attributes can be discarded from the
ranking.
- setThreshold(double) - Method in class weka.attributeSelection.Ranker
-
Set the threshold by which the AttributeSelection module can discard
attributes.
- setThreshold(double) - Method in class weka.attributeSelection.WrapperSubsetEval
-
Set the value of the threshold for repeating cross validation
- setThreshold(double) - Method in class weka.core.pmml.jaxbbindings.NaiveBayesModel
-
Sets the value of the threshold property.
- setThreshold(Double) - Method in class weka.core.pmml.jaxbbindings.NearestNeighborModel
-
Sets the value of the threshold property.
- setThreshold(Double) - Method in class weka.core.pmml.jaxbbindings.NeuralLayer
-
Sets the value of the threshold property.
- setThreshold(Double) - Method in class weka.core.pmml.jaxbbindings.NeuralNetwork
-
Sets the value of the threshold property.
- setThreshold(Double) - Method in class weka.core.pmml.jaxbbindings.SupportVectorMachine
-
Sets the value of the threshold property.
- setThreshold(Double) - Method in class weka.core.pmml.jaxbbindings.SupportVectorMachineModel
-
Sets the value of the threshold property.
- setThreshold(double) - Method in class weka.filters.unsupervised.instance.RemoveMisclassified
-
Sets the threshold for the max error when predicting a numeric class.
- setTime(Time) - Method in class weka.core.pmml.jaxbbindings.AntecedentSequence
-
Sets the value of the time property.
- setTime(double) - Method in class weka.core.pmml.jaxbbindings.BaselineCell
-
Sets the value of the time property.
- setTime(Time) - Method in class weka.core.pmml.jaxbbindings.ConsequentSequence
-
Sets the value of the time property.
- setTime(Time) - Method in class weka.core.pmml.jaxbbindings.Sequence
-
Sets the value of the time property.
- setTime(Double) - Method in class weka.core.pmml.jaxbbindings.TimeValue
-
Sets the value of the time property.
- setTimeAnchor(TimeAnchor) - Method in class weka.core.pmml.jaxbbindings.TimeSeries
-
Sets the value of the timeAnchor property.
- setTimes(int, double) - Method in class weka.core.matrix.DoubleVector
-
Multiplies a value to an element
- setTimeSeriesModel(TimeSeriesModel) - Method in class weka.core.pmml.jaxbbindings.Segment
-
Sets the value of the timeSeriesModel property.
- setTimestamp(Timestamp) - Method in class weka.core.pmml.jaxbbindings.Header
-
Sets the value of the timestamp property.
- setTimestamp(Timestamp) - Method in class weka.core.pmml.jaxbbindings.TimeValue
-
Sets the value of the timestamp property.
- SettingKey() - Constructor for class weka.core.Settings.SettingKey
-
Construct a new empty setting key
- SettingKey(String, String, String) - Constructor for class weka.core.Settings.SettingKey
-
Construct a new SettingKey with the given key, description and tool tip
text
- SettingKey(String, String, String, List<String>) - Constructor for class weka.core.Settings.SettingKey
-
Construct a new SettingKey with the given key, description, tool tip and
pick list
- Settings - Class in weka.core
-
Maintains a collection of settings.
- Settings(String, String) - Constructor for class weka.core.Settings
-
Construct a new Settings object to be stored in the supplied store under
the given ID/name
- Settings.SettingKey - Class in weka.core
-
Class implementing a key for a setting.
- settingsChanged() - Method in class weka.gui.AbstractGUIApplication
-
Called when settings are changed by the user
- settingsChanged() - Method in class weka.gui.AbstractPerspective
-
Called when the user alters settings.
- settingsChanged() - Method in class weka.gui.explorer.AssociationsPanel
-
- settingsChanged() - Method in class weka.gui.explorer.AttributeSelectionPanel
-
- settingsChanged() - Method in class weka.gui.explorer.ClassifierPanel
-
- settingsChanged() - Method in class weka.gui.explorer.ClustererPanel
-
- settingsChanged() - Method in class weka.gui.explorer.PreprocessPanel
-
- settingsChanged() - Method in class weka.gui.explorer.VisualizePanel
-
- settingsChanged() - Method in interface weka.gui.GUIApplication
-
Called when settings are changed by the user
- settingsChanged() - Method in class weka.gui.knowledgeflow.KnowledgeFlowApp
-
Apply (changed) settings
- settingsChanged() - Method in class weka.gui.knowledgeflow.MainKFPerspective
-
Called when the user alters settings.
- settingsChanged() - Method in interface weka.gui.Perspective
-
Called when the user alters settings.
- settingsChanged() - Method in class weka.gui.SimpleCLIPanel
-
- settingsChanged() - Method in class weka.gui.WorkbenchApp
-
Called when the user changes settings
- SettingsEditor - Class in weka.gui
-
Provides a panel for editing application and perspective settings
- SettingsEditor(Settings, GUIApplication) - Constructor for class weka.gui.SettingsEditor
-
- SettingsEditor.SingleSettingsEditor - Class in weka.gui
-
- setTokenizer(Tokenizer) - Method in class weka.classifiers.bayes.NaiveBayesMultinomialText
-
the tokenizer algorithm to use.
- setTokenizer(Tokenizer) - Method in class weka.classifiers.functions.SGDText
-
the tokenizer algorithm to use.
- setTokenizer(Tokenizer) - Method in class weka.core.converters.DictionarySaver
-
the tokenizer algorithm to use.
- setTokenizer(Tokenizer) - Method in class weka.core.DictionaryBuilder
-
the tokenizer algorithm to use.
- setTokenizer(Tokenizer) - Method in class weka.filters.unsupervised.attribute.FixedDictionaryStringToWordVector
-
the tokenizer algorithm to use.
- setTokenizer(Tokenizer) - Method in class weka.filters.unsupervised.attribute.StringToWordVector
-
the tokenizer algorithm to use.
- setTolerance(double) - Method in class weka.classifiers.functions.supportVector.RegSMOImproved
-
sets the tolerance
- setToleranceParameter(double) - Method in class weka.classifiers.functions.SMO
-
Set the value of tolerance parameter.
- setToolTip(String) - Method in class weka.core.Settings.SettingKey
-
Set the tool tip text for this setting
- setToolTipText(String) - Method in class weka.gui.GenericObjectEditor.GOETreeNode
-
Set the tool tip for this node
- setTop(double) - Method in class weka.gui.treevisualizer.Node
-
Set the value of top.
- setTotalFreq(double) - Method in class weka.core.pmml.jaxbbindings.Counts
-
Sets the value of the totalFreq property.
- setTotalSquaresSum(Double) - Method in class weka.core.pmml.jaxbbindings.ContStats
-
Sets the value of the totalSquaresSum property.
- setTotalValuesSum(Double) - Method in class weka.core.pmml.jaxbbindings.ContStats
-
Sets the value of the totalValuesSum property.
- setTrainingData(Instances) - Method in class weka.gui.boundaryvisualizer.BoundaryPanel
-
Set the training data to use
- setTrainingTime(int) - Method in class weka.classifiers.functions.MultilayerPerceptron
-
Set the number of training epochs to perform.
- setTrainIterations(int) - Method in class weka.classifiers.BVDecompose
-
Sets the maximum number of boost iterations
- setTrainPercent(double) - Method in class weka.experiment.RandomSplitResultProducer
-
Set the value of TrainPercent.
- setTrainPercent(double) - Method in class weka.gui.beans.TrainTestSplitMaker
-
Set the percentage of data to be in the training portion of the split
- setTrainPercent(String) - Method in class weka.knowledgeflow.steps.TrainTestSplitMaker
-
Set the training percentage
- setTrainPoolSize(int) - Method in class weka.classifiers.BVDecompose
-
Set the number of instances in the training pool.
- setTrainSet(DataSetEvent) - Method in class weka.gui.beans.BatchClassifierEvent
-
Set the training set
- setTrainSize(int) - Method in class weka.classifiers.BVDecomposeSegCVSub
-
Set the training size.
- setTransactionsMustContain(String) - Method in class weka.associations.FPGrowth
-
Set the comma separated list of items that transactions must contain in
order to be considered for large item sets and rules.
- setTransform(AffineTransform) - Method in class weka.gui.visualize.PostscriptGraphics
-
- setTransformAllValues(boolean) - Method in class weka.filters.supervised.attribute.NominalToBinary
-
Sets whether all nominal values are transformed into new attributes, not
just if there are more than 2.
- setTransformAllValues(boolean) - Method in class weka.filters.unsupervised.attribute.NominalToBinary
-
Sets whether all nominal values are transformed into new attributes, not
just if there are more than 2.
- setTransformation(String) - Method in class weka.core.pmml.jaxbbindings.ExponentialSmoothing
-
Sets the value of the transformation property.
- setTransformationDictionary(TransformationDictionary) - Method in class weka.core.pmml.jaxbbindings.PMML
-
Sets the value of the transformationDictionary property.
- setTransformBackToOriginal(boolean) - Method in class weka.attributeSelection.PrincipalComponents
-
Sets whether the data should be transformed back to the original space
- setTranslation(double) - Method in class weka.filters.unsupervised.attribute.Normalize
-
Sets the translation.
- setTreatMissingValuesAsZero(boolean) - Method in class weka.filters.unsupervised.instance.NonSparseToSparse
-
Set whether missing values should be treated in the same way as zeros
- setTreatXValFoldsSeparately(boolean) - Method in class weka.knowledgeflow.steps.ASEvaluator
-
Set whether to output separate results for each fold of a cross-validation,
rather than averaging over folds.
- setTreatZeroAsMissing(boolean) - Method in class weka.associations.Apriori
-
Sets whether zeros (i.e.
- setTreeModel(TreeModel) - Method in class weka.core.pmml.jaxbbindings.Segment
-
Sets the value of the treeModel property.
- setTrend(String) - Method in class weka.core.pmml.jaxbbindings.TrendExpoSmooth
-
Sets the value of the trend property.
- setTrendExpoSmooth(TrendExpoSmooth) - Method in class weka.core.pmml.jaxbbindings.ExponentialSmoothing
-
Sets the value of the trendExpoSmooth property.
- setTrialsValue(BigInteger) - Method in class weka.core.pmml.jaxbbindings.GeneralRegressionModel
-
Sets the value of the trialsValue property.
- setTrialsVariable(String) - Method in class weka.core.pmml.jaxbbindings.GeneralRegressionModel
-
Sets the value of the trialsVariable property.
- setTrim(boolean) - Method in class weka.classifiers.misc.InputMappedClassifier
-
Set whether to trim white space from each end of names before matching.
- setTRow(String) - Method in class weka.core.pmml.jaxbbindings.PCovCell
-
Sets the value of the tRow property.
- setTrue(True) - Method in class weka.core.pmml.jaxbbindings.Attribute
-
Sets the value of the true property.
- setTrue(True) - Method in class weka.core.pmml.jaxbbindings.CompoundRule
-
Sets the value of the true property.
- setTrue(True) - Method in class weka.core.pmml.jaxbbindings.Segment
-
Sets the value of the true property.
- setTrue(True) - Method in class weka.core.pmml.jaxbbindings.SimpleRule
-
Sets the value of the true property.
- setTrueNegative(double) - Method in class weka.classifiers.evaluation.TwoClassStats
-
Sets the number of negative instances predicted as negative
- setTruePositive(double) - Method in class weka.classifiers.evaluation.TwoClassStats
-
Sets the number of positive instances predicted as positive
- setTrueStepName(String) - Method in class weka.gui.beans.FlowByExpression
-
Set the name of the connected step to send "true" instances to
- setTrueStepName(String) - Method in class weka.knowledgeflow.steps.FlowByExpression
-
Set the name of the connected step to send "true" instances to
- setTruncate(boolean) - Method in class weka.core.converters.DatabaseSaver
-
Set whether to truncate (i.e.
- setTStart(double) - Method in class weka.classifiers.bayes.net.search.global.SimulatedAnnealing
-
Sets the m_fTStart.
- setTStart(double) - Method in class weka.classifiers.bayes.net.search.local.SimulatedAnnealing
-
Sets the m_fTStart.
- setTValue(Double) - Method in class weka.core.pmml.jaxbbindings.MultivariateStat
-
Sets the value of the tValue property.
- setType(int) - Method in class weka.classifiers.functions.neural.NeuralConnection
-
- setType(String) - Method in class weka.core.pmml.jaxbbindings.AnovaRow
-
Sets the value of the type property.
- setType(String) - Method in class weka.core.pmml.jaxbbindings.ArrayType
-
Sets the value of the type property.
- setType(String) - Method in class weka.core.pmml.jaxbbindings.PCovMatrix
-
Sets the value of the type property.
- setType(String) - Method in class weka.core.pmml.jaxbbindings.SeasonalityExpoSmooth
-
Sets the value of the type property.
- setType(TIMEANCHOR2) - Method in class weka.core.pmml.jaxbbindings.TimeAnchor
-
Sets the value of the type property.
- setType(VALIDTIMESPEC) - Method in class weka.core.pmml.jaxbbindings.TimeCycle
-
Sets the value of the type property.
- setType(TIMEEXCEPTIONTYPE) - Method in class weka.core.pmml.jaxbbindings.TimeException
-
Sets the value of the type property.
- setType(String) - Method in class weka.filters.unsupervised.attribute.AddUserFields.AttributeSpec
-
Set the type of the new attribute
- setUndoBuffer(Stack<File>) - Method in class weka.gui.beans.KnowledgeFlowApp.MainKFPerspective
-
- setUndoBuffer(int, Stack<File>) - Method in class weka.gui.beans.KnowledgeFlowApp.MainKFPerspective
-
- setUndoEnabled(boolean) - Method in interface weka.core.Undoable
-
sets whether undo support is enabled
- setUndoEnabled(boolean) - Method in class weka.gui.arffviewer.ArffPanel
-
sets whether undo support is enabled
- setUndoEnabled(boolean) - Method in class weka.gui.arffviewer.ArffSortedTableModel
-
sets whether undo support is enabled
- setUndoEnabled(boolean) - Method in class weka.gui.arffviewer.ArffTableModel
-
sets whether undo support is enabled
- setUniformDistribution(UniformDistribution) - Method in class weka.core.pmml.jaxbbindings.Alternate
-
Sets the value of the uniformDistribution property.
- setUniformDistribution(UniformDistribution) - Method in class weka.core.pmml.jaxbbindings.Baseline
-
Sets the value of the uniformDistribution property.
- setUnit(String) - Method in class weka.core.pmml.jaxbbindings.SeasonalityExpoSmooth
-
Sets the value of the unit property.
- setUnpruned(boolean) - Method in class weka.classifiers.rules.PART
-
Set the value of unpruned.
- setUnpruned(boolean) - Method in class weka.classifiers.trees.J48
-
Set the value of unpruned.
- setUnpruned(boolean) - Method in class weka.classifiers.trees.m5.M5Base
-
Use unpruned tree/rules
- setUnpruned(boolean) - Method in class weka.classifiers.trees.m5.Rule
-
Use unpruned tree/rules
- setup(Instances) - Method in class weka.core.DictionaryBuilder
-
- setUp() - Method in class weka.gui.explorer.AbstractPlotInstances
-
Performs checks, sets up the structure for the plot instances.
- setupAttribLists() - Method in class weka.gui.visualize.MatrixPanel
-
Sets up the UI's attributes lists
- setUpBoundaryPanel() - Method in class weka.gui.boundaryvisualizer.BoundaryVisualizer
-
Sets up the BoundaryPanel object so that it is ready for plotting.
- setUpComboBoxes(Instances) - Method in class weka.gui.visualize.ThresholdVisualizePanel
-
This overloads VisualizePanel's setUpComboBoxes to add ActionListeners to
watch for when the X/Y Axis comboboxes are changed.
- setUpComboBoxes(Instances) - Method in class weka.gui.visualize.VisualizePanel
-
initializes the comboboxes based on the data
- setUpdateIncrementalClassifier(boolean) - Method in class weka.gui.beans.Classifier
-
Set whether an incremental classifier will be updated on the incoming
instance stream.
- setUpdateIncrementalClassifier(boolean) - Method in class weka.knowledgeflow.steps.Classifier
-
Set whether to update an incremental classifier on an incoming instance
stream
- setUpdateWeightsOnly(boolean) - Method in class weka.estimators.UnivariateEqualFrequencyHistogramEstimator
-
Sets whether only weights should be udpated.
- setupEval(Evaluation, Classifier, Instances, CostMatrix, ClassifierErrorsPlotInstances, AbstractOutput, boolean) - Static method in class weka.gui.explorer.ClassifierPanel
-
Configures an evaluation object with respect to a classifier, cost matrix,
output and plotting.
- setupEval(Evaluation, Classifier, Instances, CostMatrix, ClassifierErrorsPlotInstances, AbstractOutput, boolean, boolean) - Static method in class weka.gui.explorer.ClassifierPanel
-
Configures an evaluation object with respect to a classifier, cost matrix,
output and plotting.
- setUpFile() - Method in class weka.gui.beans.LoaderCustomizer
-
- setUpFile() - Method in class weka.gui.beans.SaverCustomizer
-
Sets up dialog for saving instances in a file
- setUpFile() - Method in class weka.gui.beans.SerializedModelSaverCustomizer
-
Sets up dialog for saving models to a file
- SetupModePanel - Class in weka.gui.experiment
-
This panel switches between simple and advanced experiment setup panels.
- SetupModePanel() - Constructor for class weka.gui.experiment.SetupModePanel
-
Creates the setup panel with no initial experiment.
- SetupPanel - Class in weka.gui.experiment
-
This panel controls the configuration of an experiment.
- SetupPanel(Experiment) - Constructor for class weka.gui.experiment.SetupPanel
-
Creates the setup panel with the supplied initial experiment.
- SetupPanel() - Constructor for class weka.gui.experiment.SetupPanel
-
Creates the setup panel with no initial experiment.
- setUpper(double) - Method in class weka.core.pmml.jaxbbindings.UniformDistribution
-
Sets the value of the upper property.
- setUpper(int) - Method in class weka.core.Range
-
Sets the value of "last".
- setUpper(int) - Method in class weka.core.SingleIndex
-
Sets the value of "last".
- setUpperBoundMinSupport(double) - Method in class weka.associations.Apriori
-
Set the value of upperBoundMinSupport.
- setUpperBoundMinSupport(double) - Method in class weka.associations.FPGrowth
-
Set the value of upperBoundMinSupport.
- setUpperSize(int) - Method in class weka.experiment.LearningRateResultProducer
-
Set the value of UpperSize.
- setURL(String) - Method in class weka.core.converters.ArffLoader
-
Set the url to load from
- setUrl(String) - Method in interface weka.core.converters.DatabaseConverter
-
- setUrl(String) - Method in class weka.core.converters.DatabaseLoader
-
Sets the database URL
- setUrl(String) - Method in class weka.core.converters.DatabaseSaver
-
Sets the database URL.
- setURL(String) - Method in class weka.core.converters.JSONLoader
-
Set the url to load from.
- setURL(String) - Method in class weka.core.converters.LibSVMLoader
-
Set the url to load from.
- setURL(String) - Method in class weka.core.converters.MatlabLoader
-
Set the url to load from.
- setURL(String) - Method in class weka.core.converters.SVMLightLoader
-
Set the url to load from.
- setURL(String) - Method in interface weka.core.converters.URLSourcedLoader
-
Set the url to load from
- setURL(String) - Method in class weka.core.converters.XRFFLoader
-
Set the url to load from
- setURL(String) - Method in class weka.gui.sql.ConnectionPanel
-
sets the URL.
- setUsage(TIMESERIESUSAGE) - Method in class weka.core.pmml.jaxbbindings.TimeSeries
-
Sets the value of the usage property.
- setUsageType(FIELDUSAGETYPE) - Method in class weka.core.pmml.jaxbbindings.MiningField
-
Sets the value of the usageType property.
- setUseADTree(boolean) - Method in class weka.classifiers.bayes.BayesNet
-
Set whether ADTree structure is used or not
- setUseAIC(boolean) - Method in class weka.classifiers.functions.SimpleLogistic
-
Set the value of useAIC.
- setUseAIC(boolean) - Method in class weka.classifiers.trees.lmt.LogisticBase
-
Set the value of useAIC.
- setUseAIC(boolean) - Method in class weka.classifiers.trees.LMT
-
Set the value of useAIC.
- setUseArcReversal(boolean) - Method in class weka.classifiers.bayes.net.search.global.HillClimber
-
set use the arc reversal operation
- setUseArcReversal(boolean) - Method in class weka.classifiers.bayes.net.search.local.HillClimber
-
set use the arc reversal operation
- setUseAverage(boolean) - Method in class weka.classifiers.meta.IterativeClassifierOptimizer
-
Set the value of UseAverage.
- setUseBetterEncoding(boolean) - Method in class weka.filters.supervised.attribute.Discretize
-
Sets whether better encoding is to be used for MDL.
- setUseBinNumbers(boolean) - Method in class weka.filters.supervised.attribute.Discretize
-
Sets whether bin numbers rather than ranges should be used for discretized
attributes.
- setUseBinNumbers(boolean) - Method in class weka.filters.unsupervised.attribute.Discretize
-
Sets whether bin numbers rather than ranges should be used for discretized
attributes.
- setUseBlanks(boolean) - Method in class weka.gui.scripting.SyntaxDocument
-
Sets whether to use blanks instead of tabs.
- setUseConjugateGradientDescent(boolean) - Method in class weka.classifiers.functions.Logistic
-
Sets whether conjugate gradient descent is used.
- setUseCpuTime(boolean) - Method in class weka.core.Debug.Clock
-
enables/disables the use of CPU time (if measurement of CPU time is
available).
- setUseCrossOver(boolean) - Method in class weka.classifiers.bayes.net.search.global.GeneticSearch
-
- setUseCrossOver(boolean) - Method in class weka.classifiers.bayes.net.search.local.GeneticSearch
-
- setUseCrossValidation(boolean) - Method in class weka.classifiers.functions.SimpleLogistic
-
Set the value of useCrossValidation.
- setUseCustomDimensions(boolean) - Method in class weka.gui.visualize.JComponentWriter
-
sets whether to use custom dimensions for the image
- setUseDouble(boolean) - Method in class weka.core.converters.MatlabSaver
-
Sets whether to use double or single precision.
- setUseDynamic(boolean) - Method in class weka.knowledgeflow.steps.ExecuteProcess
-
Set whether to execute dynamic commands
- setUseEnvironmentPropertyEditors(boolean) - Method in class weka.gui.PropertySheetPanel
-
Set whether to use environment property editors for string and
file properties
- setUseEqualFrequency(boolean) - Method in class weka.classifiers.meta.RegressionByDiscretization
-
Set the value of UseEqualFrequency.
- setUseEqualFrequency(boolean) - Method in class weka.filters.unsupervised.attribute.Discretize
-
Set the value of UseEqualFrequency.
- setUseEqualFrequency(boolean) - Method in class weka.filters.unsupervised.attribute.PKIDiscretize
-
Set the value of UseEqualFrequency.
- setUseEstimatedPriors(boolean) - Method in class weka.classifiers.meta.LogitBoost
-
Set resampling mode
- setUseIBk(boolean) - Method in class weka.classifiers.rules.DecisionTable
-
Sets whether IBk should be used instead of the majority class
- setUseK2Prior(boolean) - Method in class weka.classifiers.bayes.net.estimate.BMAEstimator
-
Sets the UseK2Prior.
- setUseK2Prior(boolean) - Method in class weka.classifiers.bayes.net.estimate.MultiNomialBMAEstimator
-
Sets the UseK2Prior.
- setUseKernelEstimator(boolean) - Method in class weka.classifiers.bayes.NaiveBayes
-
Sets if kernel estimator is to be used.
- setUseKononenko(boolean) - Method in class weka.filters.supervised.attribute.Discretize
-
Sets whether Kononenko's MDL criterion is to be used.
- setUseLaplace(boolean) - Method in class weka.classifiers.trees.J48
-
Set the value of useLaplace.
- setUseLeastValues(boolean) - Method in class weka.filters.unsupervised.instance.RemoveFrequentValues
-
Sets whether to use values with least or most instances
- setUseLowerOrder(boolean) - Method in class weka.classifiers.functions.supportVector.PolyKernel
-
Sets whether to use lower-order terms.
- setUseMDLcorrection(boolean) - Method in class weka.classifiers.rules.PART
-
Set the value of useMDLcorrection.
- setUseMDLcorrection(boolean) - Method in class weka.classifiers.trees.J48
-
Set the value of useMDLcorrection.
- setUseMissing(boolean) - Method in class weka.filters.unsupervised.attribute.AddNoise
-
Sets the flag if missing values are treated as extra values.
- setUseMutation(boolean) - Method in class weka.classifiers.bayes.net.search.global.GeneticSearch
-
- setUseMutation(boolean) - Method in class weka.classifiers.bayes.net.search.local.GeneticSearch
-
- setUseNormalization(boolean) - Method in class weka.classifiers.functions.supportVector.StringKernel
-
Sets whether to use normalization.
- setUseNormalizedEntropy(boolean) - Method in class weka.estimators.UnivariateMixtureEstimator
-
- setUseORForMustContainList(boolean) - Method in class weka.associations.FPGrowth
-
Set whether to use OR rather than AND when considering must contain lists.
- setUsePairwiseCoupling(boolean) - Method in class weka.classifiers.meta.MultiClassClassifier
-
Set whether to use pairwise coupling with 1-vs-1
classification to improve probability estimates.
- setUsePercentageSplit(boolean) - Method in class weka.attributeSelection.ClassifierSubsetEval
-
Set whether to perform a percentage split on the training data for
evaluation
- setUseProb(boolean) - Method in class weka.classifiers.bayes.net.search.global.GlobalScoreSearchAlgorithm
-
- setUsePropertyIterator(boolean) - Method in class weka.experiment.Experiment
-
Sets whether the custom property iterator should be used.
- setUsePropertyIterator(boolean) - Method in class weka.experiment.RemoteExperiment
-
Sets whether the custom property iterator should be used.
- setUsePruning(boolean) - Method in class weka.classifiers.rules.JRip
-
Sets whether pruning is performed
- setUseQRDecomposition(boolean) - Method in class weka.classifiers.functions.LinearRegression
-
Set whether to use QR decomposition.
- setUser(String) - Method in interface weka.core.converters.DatabaseConverter
-
- setUser(String) - Method in class weka.core.converters.DatabaseLoader
-
Sets the database user
- setUser(String) - Method in class weka.core.converters.DatabaseSaver
-
Sets the database user.
- setUser(String) - Method in class weka.gui.sql.ConnectionPanel
-
sets the User.
- setUseReasonCodes(Boolean) - Method in class weka.core.pmml.jaxbbindings.Scorecard
-
Sets the value of the useReasonCodes property.
- setUseRelativePath(boolean) - Method in class weka.core.converters.AbstractFileLoader
-
Set whether to use relative rather than absolute paths
- setUseRelativePath(boolean) - Method in class weka.core.converters.AbstractFileSaver
-
Set whether to use relative rather than absolute paths
- setUseRelativePath(boolean) - Method in interface weka.core.converters.FileSourcedConverter
-
Set whether to use relative rather than absolute paths
- setUseRelativePath(boolean) - Method in class weka.gui.beans.SerializedModelSaver
-
Set whether to use relative paths for the directory.
- setUseResampling(boolean) - Method in class weka.classifiers.meta.AdaBoostM1
-
Set resampling mode
- setUseResampling(boolean) - Method in class weka.classifiers.meta.LogitBoost
-
Set resampling mode
- setUsername(String) - Method in class weka.experiment.DatabaseUtils
-
Set the database username.
- setUserOptions(String[]) - Method in class weka.classifiers.functions.supportVector.KernelEvaluation
-
sets the option the user supplied for the kernel
- setUserOptions(String[]) - Method in class weka.core.CheckOptionHandler
-
Sets the user-supplied options (creates a copy)
- setUserVisiblePerspectives(LinkedList<String>) - Method in class weka.gui.PerspectiveManager.SelectedPerspectivePreferences
-
Set a list of perspectives that should be visible
- setUseShortIdentifiers(boolean) - Method in class weka.filters.supervised.attribute.MergeNominalValues
-
Set whether to output short identifiers for merged values.
- setUseShortIDs(boolean) - Method in class weka.filters.unsupervised.attribute.MergeInfrequentNominalValues
-
Sets whether short IDs are to be used.
- setUseStars(boolean) - Method in class weka.core.AllJavadoc
-
sets whether to prefix the Javadoc with "*"
- setUseStars(boolean) - Method in class weka.core.Javadoc
-
sets whether to prefix the Javadoc with "*"
- setUseSupervisedDiscretization(boolean) - Method in class weka.classifiers.bayes.NaiveBayes
-
Set whether supervised discretization is to be used.
- setUseSupervisedDiscretization(boolean) - Method in class weka.classifiers.bayes.NaiveBayesUpdateable
-
Set whether supervised discretization is to be used.
- setUseTab(boolean) - Method in class weka.classifiers.evaluation.output.prediction.CSV
-
Sets whether to use tab instead of comma as separator.
- setUseTabs(boolean) - Method in class weka.core.converters.MatlabSaver
-
Sets whether to use tabs instead of blanks.
- setUseTournamentSelection(boolean) - Method in class weka.classifiers.bayes.net.search.global.GeneticSearch
-
- setUseTournamentSelection(boolean) - Method in class weka.classifiers.bayes.net.search.local.GeneticSearch
-
- setUseTraining(boolean) - Method in class weka.attributeSelection.ClassifierSubsetEval
-
Set if training data is to be used instead of hold out/test data
- setUseTree(boolean) - Method in class weka.classifiers.trees.m5.Rule
-
Use an m5 tree rather than generate rules
- setUseUnsmoothed(boolean) - Method in class weka.classifiers.trees.m5.M5Base
-
Use unsmoothed predictions
- setUseVariant1(boolean) - Method in class weka.classifiers.functions.supportVector.RegSMOImproved
-
Sets whether to use variant 1
- setUseWordFrequencies(boolean) - Method in class weka.classifiers.bayes.NaiveBayesMultinomialText
-
Set whether to use word frequencies rather than binary bag of words
representation.
- setUseWordFrequencies(boolean) - Method in class weka.classifiers.functions.SGDText
-
Set whether to use word frequencies rather than binary bag of words
representation.
- setValidating(boolean) - Method in class weka.core.xml.XMLDocument
-
sets whether to use a validating parser or not.
Note: this does clear the current DOM document!
- setValidating(boolean) - Method in class weka.core.xml.XMLOptions
-
sets whether to use a validating parser or not.
- setValidationSetSize(int) - Method in class weka.classifiers.functions.MultilayerPerceptron
-
This will set the size of the validation set.
- setValidationThreshold(int) - Method in class weka.classifiers.functions.MultilayerPerceptron
-
This sets the threshold to use for when validation testing is being done.
- setValue(int, String) - Method in class weka.core.AbstractInstance
-
Sets a value of a nominal or string attribute to the given value.
- setValue(Attribute, double) - Method in class weka.core.AbstractInstance
-
Sets a specific value in the instance to the given value (internal
floating-point format).
- setValue(Attribute, String) - Method in class weka.core.AbstractInstance
-
Sets a value of an nominal or string attribute to the given value.
- setValue(int, double) - Method in class weka.core.BinarySparseInstance
-
Sets a specific value in the instance to the given value (internal
floating-point format).
- setValue(int, double) - Method in class weka.core.DenseInstance
-
Sets a specific value in the instance to the given value (internal
floating-point format).
- setValue(boolean) - Method in class weka.core.expressionlanguage.common.Primitives.BooleanVariable
-
- setValue(double) - Method in class weka.core.expressionlanguage.common.Primitives.DoubleVariable
-
- setValue(String) - Method in class weka.core.expressionlanguage.common.Primitives.StringVariable
-
- setValue(int, double) - Method in interface weka.core.Instance
-
Sets a specific value in the instance to the given value (internal
floating-point format).
- setValue(int, String) - Method in interface weka.core.Instance
-
Sets a value of a nominal or string attribute to the given value.
- setValue(Attribute, double) - Method in interface weka.core.Instance
-
Sets a specific value in the instance to the given value (internal
floating-point format).
- setValue(Attribute, String) - Method in interface weka.core.Instance
-
Sets a value of an nominal or string attribute to the given value.
- setValue(String) - Method in class weka.core.pmml.jaxbbindings.BaselineStratum
-
Sets the value of the value property.
- setValue(String) - Method in class weka.core.pmml.jaxbbindings.CategoricalPredictor
-
Sets the value of the value property.
- setValue(String) - Method in class weka.core.pmml.jaxbbindings.Category
-
Sets the value of the value property.
- setValue(Double) - Method in class weka.core.pmml.jaxbbindings.Coefficient
-
Sets the value of the value property.
- setValue(String) - Method in class weka.core.pmml.jaxbbindings.Constant
-
Sets the value of the value property.
- setValue(String) - Method in class weka.core.pmml.jaxbbindings.Decision
-
Sets the value of the value property.
- setValue(String) - Method in class weka.core.pmml.jaxbbindings.Extension
-
Sets the value of the value property.
- setValue(String) - Method in class weka.core.pmml.jaxbbindings.FieldValue
-
Sets the value of the value property.
- setValue(String) - Method in class weka.core.pmml.jaxbbindings.FieldValueCount
-
Sets the value of the value property.
- setValue(String) - Method in class weka.core.pmml.jaxbbindings.Item
-
Sets the value of the value property.
- setValue(String) - Method in class weka.core.pmml.jaxbbindings.MatCell
-
Sets the value of the value property.
- setValue(String) - Method in class weka.core.pmml.jaxbbindings.NormDiscrete
-
Sets the value of the value property.
- setValue(String) - Method in class weka.core.pmml.jaxbbindings.OutputField
-
Sets the value of the value property.
- setValue(String) - Method in class weka.core.pmml.jaxbbindings.PairCounts
-
Sets the value of the value property.
- setValue(double) - Method in class weka.core.pmml.jaxbbindings.PCovCell
-
Sets the value of the value property.
- setValue(String) - Method in class weka.core.pmml.jaxbbindings.PPCell
-
Sets the value of the value property.
- setValue(String) - Method in class weka.core.pmml.jaxbbindings.ResultField
-
Sets the value of the value property.
- setValue(String) - Method in class weka.core.pmml.jaxbbindings.ScoreDistribution
-
Sets the value of the value property.
- setValue(String) - Method in class weka.core.pmml.jaxbbindings.SimplePredicate
-
Sets the value of the value property.
- setValue(String) - Method in class weka.core.pmml.jaxbbindings.TargetValue
-
Sets the value of the value property.
- setValue(String) - Method in class weka.core.pmml.jaxbbindings.TargetValueCount
-
Sets the value of the value property.
- setValue(double) - Method in class weka.core.pmml.jaxbbindings.TimeValue
-
Sets the value of the value property.
- setValue(String) - Method in class weka.core.pmml.jaxbbindings.Value
-
Sets the value of the value property.
- setValue(Object, PropertyPath.Path, Object) - Static method in class weka.core.PropertyPath
-
set the given value specified by the given path in the object
- setValue(Object, String, Object) - Static method in class weka.core.PropertyPath
-
set the given value specified by the given path in the object
- setValue(int, double) - Method in class weka.core.SparseInstance
-
Sets a specific value in the instance to the given value (internal
floating-point format).
- setValue(TechnicalInformation.Field, String) - Method in class weka.core.TechnicalInformation
-
sets the value for the given field, overwrites any previously existing one.
- setValue(String) - Method in class weka.filters.unsupervised.attribute.AddUserFields.AttributeSpec
-
Set the value of the new attribute.
- setValue(Object) - Method in class weka.gui.beans.EnvironmentField
-
Deprecated.
- setValue(Object) - Method in class weka.gui.ColorEditor
-
Set the current color
- setValue(Object) - Method in class weka.gui.CostMatrixEditor
-
Sets the value of the CostMatrix to be edited.
- setValue(Object) - Method in class weka.gui.EnvironmentField
-
- setValue(Object) - Method in class weka.gui.FileEnvironmentField
-
- setValue(Object) - Method in class weka.gui.GenericArrayEditor
-
Sets the current object array.
- setValue(Object) - Method in class weka.gui.GenericObjectEditor
-
Sets the current Object.
- setValue(Object) - Method in class weka.gui.PasswordField
-
- setValue(Object) - Method in class weka.gui.SimpleDateFormatEditor
-
Sets the value of the date format to be edited.
- setValueAt(Object, int, int) - Method in class weka.gui.arffviewer.ArffTableModel
-
sets the value in the cell at columnIndex and rowIndex to aValue.
- setValueAt(Object, int, int, boolean) - Method in class weka.gui.arffviewer.ArffTableModel
-
sets the value in the cell at columnIndex and rowIndex to aValue.
- setValueAt(Object, int, int) - Method in class weka.gui.InteractiveTableModel
-
- setValueAt(Object, int, int) - Method in class weka.gui.SortedTableModel
-
Sets the value in the cell at columnIndex and rowIndex to aValue.
- setValueAt(Object, int, int) - Method in class weka.gui.sql.ResultSetTableModel
-
sets the value in the cell at columnIndex and rowIndex to aValue.
- setValueIndex(int) - Method in class weka.filters.unsupervised.attribute.MakeIndicator
-
Sets index of the indicator value.
- setValueIndices(String) - Method in class weka.filters.unsupervised.attribute.MakeIndicator
-
Sets indices of the indicator values.
- setValueIndicesArray(int[]) - Method in class weka.filters.unsupervised.attribute.MakeIndicator
-
Set which attributes are to be deleted (or kept if invert is true)
- setValueReplacements(String) - Method in class weka.filters.unsupervised.attribute.RenameNominalValues
-
- setValuesList(String) - Method in class weka.datagenerators.clusterers.SubspaceClusterDefinition
-
Sets the ranges for each attribute.
- setValueSparse(int, double) - Method in class weka.core.BinarySparseInstance
-
Sets a specific value in the instance to the given value (internal
floating-point format).
- setValueSparse(int, double) - Method in class weka.core.DenseInstance
-
Sets a specific value in the instance to the given value (internal
floating-point format).
- setValueSparse(int, double) - Method in interface weka.core.Instance
-
Sets a specific value in the instance to the given value (internal
floating-point format), given an index into the sparse representation.
- setValueSparse(int, double) - Method in class weka.core.SparseInstance
-
Sets a specific value in the instance to the given value (internal
floating-point format).
- setVariables(VariableDeclarations) - Method in class weka.core.expressionlanguage.parser.Parser
-
Sets the variable declarations for the program
- SetVariables - Class in weka.knowledgeflow.steps
-
Step that can be used to set the values of environment variables for the flow
being executed.
- SetVariables() - Constructor for class weka.knowledgeflow.steps.SetVariables
-
- SetVariablesStepEditorDialog - Class in weka.gui.knowledgeflow.steps
-
Editor dialog for the SetVariables
step
- SetVariablesStepEditorDialog() - Constructor for class weka.gui.knowledgeflow.steps.SetVariablesStepEditorDialog
-
- setVariance(double) - Method in class weka.core.pmml.jaxbbindings.AnyDistribution
-
Sets the value of the variance property.
- setVariance(double) - Method in class weka.core.pmml.jaxbbindings.GaussianDistribution
-
Sets the value of the variance property.
- setVarianceCovered(double) - Method in class weka.attributeSelection.PrincipalComponents
-
Sets the amount of variance to account for when retaining principal
components
- setVarianceCovered(double) - Method in class weka.filters.unsupervised.attribute.PrincipalComponents
-
Sets the amount of variance to account for when retaining principal
components.
- setVarsInternalRep(String) - Method in class weka.knowledgeflow.steps.SetVariables
-
Set the static variables to set (in internal representation)
- setVectorFields(VectorFields) - Method in class weka.core.pmml.jaxbbindings.VectorDictionary
-
Sets the value of the vectorFields property.
- setVectorId(String) - Method in class weka.core.pmml.jaxbbindings.SupportVector
-
Sets the value of the vectorId property.
- setVerbose(boolean) - Method in class weka.associations.Apriori
-
Sets verbose mode
- setVerboseOn() - Method in class weka.core.Debug.DBO
-
Set the verbose on flag on
- setVerificationFields(VerificationFields) - Method in class weka.core.pmml.jaxbbindings.ModelVerification
-
Sets the value of the verificationFields property.
- setVersion(String) - Method in class weka.core.pmml.jaxbbindings.Application
-
Sets the value of the version property.
- setVersion(String) - Method in class weka.core.pmml.jaxbbindings.PMML
-
Sets the value of the version property.
- setVersionConstraint(VersionPackageConstraint.VersionComparison) - Method in class weka.core.packageManagement.VersionPackageConstraint
-
- setVersionConstraint(String) - Method in class weka.core.packageManagement.VersionPackageConstraint
-
- setVisible(boolean) - Method in class weka.gui.knowledgeflow.InvisibleNode
-
Set the visible status of this node
- setVisible(boolean) - Method in class weka.gui.Main
-
Shows or hides this component depending on the value of parameter b.
- setVisible(boolean) - Method in class weka.gui.sql.SqlViewerDialog
-
displays the dialog if TRUE.
- setVisual(BeanVisual) - Method in class weka.gui.beans.AbstractDataSink
-
Set the visual for this data source
- setVisual(BeanVisual) - Method in class weka.gui.beans.AbstractDataSource
-
Set the visual for this data source
- setVisual(BeanVisual) - Method in class weka.gui.beans.AbstractEvaluator
-
Set the visual
- setVisual(BeanVisual) - Method in class weka.gui.beans.AbstractTestSetProducer
-
Set the visual for this bean
- setVisual(BeanVisual) - Method in class weka.gui.beans.AbstractTrainAndTestSetProducer
-
Set the visual for this bean
- setVisual(BeanVisual) - Method in class weka.gui.beans.AbstractTrainingSetProducer
-
Set the visual for this bean
- setVisual(BeanVisual) - Method in class weka.gui.beans.Appender
-
Set a new visual representation
- setVisual(BeanVisual) - Method in class weka.gui.beans.Associator
-
Sets the visual appearance of this wrapper bean
- setVisual(BeanVisual) - Method in class weka.gui.beans.ClassAssigner
-
- setVisual(BeanVisual) - Method in class weka.gui.beans.Classifier
-
Sets the visual appearance of this wrapper bean
- setVisual(BeanVisual) - Method in class weka.gui.beans.ClassValuePicker
-
- setVisual(BeanVisual) - Method in class weka.gui.beans.Clusterer
-
Sets the visual appearance of this wrapper bean
- setVisual(BeanVisual) - Method in class weka.gui.beans.CostBenefitAnalysis
-
- setVisual(BeanVisual) - Method in class weka.gui.beans.DataVisualizer
-
Set the visual appearance of this bean
- setVisual(BeanVisual) - Method in class weka.gui.beans.Filter
-
Set the visual appearance of this bean
- setVisual(BeanVisual) - Method in class weka.gui.beans.FlowByExpression
-
- setVisual(BeanVisual) - Method in class weka.gui.beans.GraphViewer
-
Set the visual appearance of this bean
- setVisual(BeanVisual) - Method in class weka.gui.beans.ImageSaver
-
- setVisual(BeanVisual) - Method in class weka.gui.beans.ImageViewer
-
- setVisual(BeanVisual) - Method in class weka.gui.beans.InstanceStreamToBatchMaker
-
Sets the visual appearance of this wrapper bean
- setVisual(BeanVisual) - Method in class weka.gui.beans.Join
-
Set the visual for this step
- setVisual(BeanVisual) - Method in class weka.gui.beans.MetaBean
-
Sets the visual appearance of this wrapper bean
- setVisual(BeanVisual) - Method in class weka.gui.beans.ModelPerformanceChart
-
Set the visual appearance of this bean
- setVisual(BeanVisual) - Method in class weka.gui.beans.PredictionAppender
-
Set the visual for this data source
- setVisual(BeanVisual) - Method in class weka.gui.beans.SerializedModelSaver
-
Set the visual for this data source.
- setVisual(BeanVisual) - Method in class weka.gui.beans.Sorter
-
Set a new visual representation
- setVisual(BeanVisual) - Method in class weka.gui.beans.StripChart
-
Set the visual appearance of this bean
- setVisual(BeanVisual) - Method in class weka.gui.beans.SubstringLabeler
-
Set a new visual representation
- setVisual(BeanVisual) - Method in class weka.gui.beans.SubstringReplacer
-
Set a new visual representation
- setVisual(BeanVisual) - Method in class weka.gui.beans.TextSaver
-
- setVisual(BeanVisual) - Method in class weka.gui.beans.TextViewer
-
Describe setVisual
method here.
- setVisual(BeanVisual) - Method in interface weka.gui.beans.Visible
-
Set a new visual representation
- setVoteFlag(boolean) - Method in class weka.datagenerators.classifiers.classification.RDG1
-
Sets the vote flag.
- setWeight(double) - Method in class weka.core.AbstractInstance
-
Sets the weight of an instance.
- setWeight(double) - Method in class weka.core.Attribute
-
Sets the new attribute's weight.
- setWeight(double) - Method in interface weka.core.Instance
-
Sets the weight of an instance.
- setWeight(double) - Method in class weka.core.pmml.jaxbbindings.Con1
-
Sets the value of the weight property.
- setWeight(Double) - Method in class weka.core.pmml.jaxbbindings.Item
-
Sets the value of the weight property.
- setWeight(Double) - Method in class weka.core.pmml.jaxbbindings.Segment
-
Sets the value of the weight property.
- setWeight(Double) - Method in class weka.core.pmml.jaxbbindings.SimpleRule
-
Sets the value of the weight property.
- setWeight(double) - Method in class weka.filters.unsupervised.attribute.Add
-
Sets weight of the attribute used.
- setWeightByDistance(boolean) - Method in class weka.attributeSelection.ReliefFAttributeEval
-
Set the nearest neighbour weighting method
- setWeighted(String) - Method in class weka.core.pmml.jaxbbindings.PartitionFieldStats
-
Sets the value of the weighted property.
- setWeighted(String) - Method in class weka.core.pmml.jaxbbindings.UnivariateStats
-
Sets the value of the weighted property.
- setWeightField(String) - Method in class weka.core.pmml.jaxbbindings.TestDistributions
-
Sets the value of the weightField property.
- setWeightingDimensions(boolean[]) - Method in interface weka.gui.boundaryvisualizer.DataGenerator
-
Set the dimensions to be used in computing a weight for
each instance generated
- setWeightingDimensions(boolean[]) - Method in class weka.gui.boundaryvisualizer.KDDataGenerator
-
Set which dimensions to use when computing a weight for the next instance
to generate
- setWeightingKernel(int) - Method in class weka.classifiers.lazy.LWL
-
Sets the kernel weighting method to use.
- setWeightingValues(double[]) - Method in interface weka.gui.boundaryvisualizer.DataGenerator
-
Set the values of the dimensions (chosen via setWeightingDimensions)
to be used when computing instance weights
- setWeightingValues(double[]) - Method in class weka.gui.boundaryvisualizer.KDDataGenerator
-
Set the values for the weighting dimensions to be used when computing the
weight for the next instance to be generated
- setWeightThreshold(int) - Method in class weka.classifiers.meta.AdaBoostM1
-
Set weight threshold
- setWeightThreshold(int) - Method in class weka.classifiers.meta.LogitBoost
-
Set weight thresholding
- setWeightTrimBeta(double) - Method in class weka.classifiers.functions.SimpleLogistic
-
Set the value of weightTrimBeta.
- setWeightTrimBeta(double) - Method in class weka.classifiers.trees.lmt.LogisticBase
-
Sets the option "weightTrimBeta".
- setWeightTrimBeta(double) - Method in class weka.classifiers.trees.LMT
-
Set the value of weightTrimBeta.
- setWidth(Double) - Method in class weka.core.pmml.jaxbbindings.NeuralLayer
-
Sets the value of the width property.
- setWidth(Double) - Method in class weka.core.pmml.jaxbbindings.NeuralNetwork
-
Sets the value of the width property.
- setWidth(Double) - Method in class weka.core.pmml.jaxbbindings.Neuron
-
Sets the value of the width property.
- setWindowSize(int) - Method in class weka.classifiers.lazy.IBk
-
Sets the maximum number of instances allowed in the training
pool.
- setWindowSize(BigInteger) - Method in class weka.core.pmml.jaxbbindings.TestDistributions
-
Sets the value of the windowSize property.
- setWords(String) - Method in class weka.core.CheckScheme
-
Sets the comma-separated list of words to use for generating strings.
- setWords(String) - Method in class weka.core.TestInstances
-
Sets the comma-separated list of words to use for generating strings.
- setWordSeparators(String) - Method in class weka.core.CheckScheme
-
sets the word separators (chars) to use for assembling strings.
- setWordSeparators(String) - Method in class weka.core.TestInstances
-
sets the word separators (chars) to use for assembling strings.
- setWordsToKeep(int) - Method in class weka.core.converters.DictionarySaver
-
Sets the number of words (per class if there is a class attribute assigned)
to attempt to keep.
- setWordsToKeep(int) - Method in class weka.core.DictionaryBuilder
-
Sets the number of words (per class if there is a class attribute assigned)
to attempt to keep.
- setWordsToKeep(int) - Method in class weka.filters.unsupervised.attribute.StringToWordVector
-
Sets the number of words (per class if there is a class attribute assigned)
to attempt to keep.
- setWordwrap(boolean) - Method in class weka.gui.LogWindow
-
toggles the wordwrap
override wordwrap from:
http://forum.java.sun.com/thread.jspa?threadID=498535&messageID=2356174
- setWrappedAlgorithm(Object) - Method in class weka.gui.beans.Associator
-
Sets the algorithm (associator) for this bean
- setWrappedAlgorithm(Object) - Method in class weka.gui.beans.Classifier
-
Sets the algorithm (classifier) for this bean
- setWrappedAlgorithm(Object) - Method in class weka.gui.beans.Clusterer
-
Sets the algorithm (clusterer) for this bean
- setWrappedAlgorithm(Object) - Method in class weka.gui.beans.Filter
-
Set the filter to be wrapped by this bean
- setWrappedAlgorithm(Object) - Method in class weka.gui.beans.Loader
-
Set the loader
- setWrappedAlgorithm(Object) - Method in class weka.gui.beans.Saver
-
Set the saver
- setWrappedAlgorithm(Object) - Method in interface weka.gui.beans.WekaWrapper
-
Set the algorithm.
- setWrappedAlgorithm(Object) - Method in class weka.knowledgeflow.steps.ASEvaluator
-
Set an instance of the wrapped algorithm to use
- setWrappedAlgorithm(Object) - Method in class weka.knowledgeflow.steps.ASSearchStrategy
-
Set the actual algorithm wrapped by this instance
- setWrappedAlgorithm(Object) - Method in class weka.knowledgeflow.steps.Associator
-
Set the wrapped algorithm
- setWrappedAlgorithm(Object) - Method in class weka.knowledgeflow.steps.Classifier
-
- setWrappedAlgorithm(Object) - Method in class weka.knowledgeflow.steps.Clusterer
-
Set the wrapped algorithm
- setWrappedAlgorithm(Object) - Method in class weka.knowledgeflow.steps.DataGenerator
-
Set the algorithm to wrap
- setWrappedAlgorithm(Object) - Method in class weka.knowledgeflow.steps.Filter
-
Set the wrapped algorithm (filter)
- setWrappedAlgorithm(Object) - Method in class weka.knowledgeflow.steps.Loader
-
Set the wrapped algorithm to use
- setWrappedAlgorithm(Object) - Method in class weka.knowledgeflow.steps.Saver
-
Set the actual wrapped algorithm instance
- setWrappedAlgorithm(Object) - Method in class weka.knowledgeflow.steps.WekaAlgorithmWrapper
-
Set the wrapped algorithm
- setWrappedRules(AssociationRules) - Method in class weka.associations.FilteredAssociationRules
-
Set the wrapped AssociationRules
object to use.
- setWriteTitleString(boolean) - Method in class weka.knowledgeflow.steps.TextSaver
-
Set whether the title string will be written to the file
- setX(double) - Method in class weka.classifiers.functions.neural.NeuralConnection
-
- setX(int) - Method in class weka.gui.beans.BeanInstance
-
Sets the x coordinate of this bean
- setX(int) - Method in class weka.gui.knowledgeflow.StepVisual
-
Set the x coordinate of this step on the graphical layout
- setX(int) - Method in class weka.gui.visualize.AttributePanel
-
shows which bar is the current x attribute.
- setXAttName(String) - Method in class weka.knowledgeflow.steps.BoundaryPlotter
-
Set the name/index of the X axis attribute
- setXAttribute(int) - Method in class weka.gui.boundaryvisualizer.BoundaryPanel
-
Set the x attribute index
- setXAttribute(int) - Method in class weka.gui.boundaryvisualizer.RemoteBoundaryVisualizerSubTask
-
Set the x axis fixed dimension
- setXCoordinates(XCoordinates) - Method in class weka.core.pmml.jaxbbindings.LiftGraph
-
Sets the value of the xCoordinates property.
- setXCoordinates(XCoordinates) - Method in class weka.core.pmml.jaxbbindings.ROCGraph
-
Sets the value of the xCoordinates property.
- setXindex(int) - Method in class weka.gui.visualize.Plot2D
-
Set the index of the attribute to go on the x axis
- setXindex(int) - Method in class weka.gui.visualize.PlotData2D
-
Set the x index of the data.
- setXIndex(int) - Method in class weka.gui.visualize.VisualizePanel
-
Set the index of the attribute for the x axis
- setXLabelFreq(int) - Method in class weka.gui.beans.StripChart
-
Set the frequency for printing x label values
- setXLabelFreq(int) - Method in class weka.knowledgeflow.steps.StripChart
-
Set the x label frequency
- setXML(Reader) - Method in class weka.core.xml.XMLInstances
-
reads the XML structure from the given reader
- setXORMode(Color) - Method in class weka.gui.visualize.PostscriptGraphics
-
Not implemented
- setXval(boolean) - Method in class weka.attributeSelection.AttributeSelection
-
do a cross validation
- setXY(int, int) - Method in class weka.gui.beans.BeanInstance
-
Set the x and y coordinates of this bean
- setY(double) - Method in class weka.classifiers.functions.neural.NeuralConnection
-
- setY(int) - Method in class weka.gui.beans.BeanInstance
-
Sets the y coordinate of this bean
- setY(int) - Method in class weka.gui.knowledgeflow.StepVisual
-
Set the y coordinate of this step on the graphical layout
- setY(int) - Method in class weka.gui.visualize.AttributePanel
-
shows which bar is the current y attribute.
- setYAttName(String) - Method in class weka.knowledgeflow.steps.BoundaryPlotter
-
Set the name/index of the Y axis attribute
- setYAttribute(int) - Method in class weka.gui.boundaryvisualizer.BoundaryPanel
-
Set the y attribute index
- setYAttribute(int) - Method in class weka.gui.boundaryvisualizer.RemoteBoundaryVisualizerSubTask
-
Set the y axis fixed dimension
- setYCoordinates(YCoordinates) - Method in class weka.core.pmml.jaxbbindings.LiftGraph
-
Sets the value of the yCoordinates property.
- setYCoordinates(YCoordinates) - Method in class weka.core.pmml.jaxbbindings.ROCGraph
-
Sets the value of the yCoordinates property.
- setYindex(int) - Method in class weka.gui.visualize.Plot2D
-
Set the index of the attribute to go on the y axis
- setYindex(int) - Method in class weka.gui.visualize.PlotData2D
-
Set the y index of the data
- setYIndex(int) - Method in class weka.gui.visualize.VisualizePanel
-
Set the index of the attribute for the y axis
- setZeroThreshold(Double) - Method in class weka.core.pmml.jaxbbindings.VerificationField
-
Sets the value of the zeroThreshold property.
- setZMax(double) - Method in class weka.classifiers.meta.LogitBoost
-
Set the Z max threshold on the responses
- setZoomSetting(int, int) - Method in class weka.gui.beans.KnowledgeFlowApp.MainKFPerspective
-
- setZoomSetting(int) - Method in class weka.gui.knowledgeflow.VisibleLayout
-
Set the current zoom setting for this layout
- SEVERE - Static variable in class weka.core.Debug
-
the log level Severe
- SFEntropyGain() - Method in class weka.classifiers.evaluation.Evaluation
-
Returns the difference in base-2 log loss between null model and scheme.
- SFEntropyGain() - Method in class weka.classifiers.Evaluation
-
Returns the total SF, which is the null model entropy minus the scheme
entropy.
- SFMeanEntropyGain() - Method in class weka.classifiers.evaluation.Evaluation
-
Returns the mean difference in base-2 log loss between null model and scheme.
- SFMeanEntropyGain() - Method in class weka.classifiers.Evaluation
-
Returns the SF per instance, which is the null model entropy minus the
scheme entropy, per instance.
- SFMeanPriorEntropy() - Method in class weka.classifiers.evaluation.Evaluation
-
Returns the mean base-2 log loss wrt the null model.
- SFMeanPriorEntropy() - Method in class weka.classifiers.Evaluation
-
Returns the entropy per instance for the null model.
- SFMeanSchemeEntropy() - Method in class weka.classifiers.evaluation.Evaluation
-
Returns the mean base-2 log loss wrt the scheme.
- SFMeanSchemeEntropy() - Method in class weka.classifiers.Evaluation
-
Returns the entropy per instance for the scheme.
- SFPriorEntropy() - Method in class weka.classifiers.evaluation.Evaluation
-
Returns the base-2 log loss wrt the null model.
- SFPriorEntropy() - Method in class weka.classifiers.Evaluation
-
Returns the total entropy for the null model.
- SFSchemeEntropy() - Method in class weka.classifiers.evaluation.Evaluation
-
Returns the base-2 log loss wrt the scheme.
- SFSchemeEntropy() - Method in class weka.classifiers.Evaluation
-
Returns the total entropy for the scheme.
- SGD - Class in weka.classifiers.functions
-
Implements stochastic gradient descent for learning various linear models (binary class SVM, binary class logistic regression, squared loss, Huber loss and epsilon-insensitive loss linear regression).
- SGD() - Constructor for class weka.classifiers.functions.SGD
-
- SGDText - Class in weka.classifiers.functions
-
Implements stochastic gradient descent for learning a linear binary class SVM or binary class logistic regression on text data.
- SGDText() - Constructor for class weka.classifiers.functions.SGDText
-
- SGDText.Count - Class in weka.classifiers.functions
-
- ShadowBorder - Class in weka.gui.beans
-
- ShadowBorder() - Constructor for class weka.gui.beans.ShadowBorder
-
Constructor.
- ShadowBorder(int) - Constructor for class weka.gui.beans.ShadowBorder
-
Constructor.
- ShadowBorder(int, Color) - Constructor for class weka.gui.beans.ShadowBorder
-
Constructor.
- ShadowBorder - Class in weka.gui.knowledgeflow
-
Border implementation that provides a drop shadow
- ShadowBorder() - Constructor for class weka.gui.knowledgeflow.ShadowBorder
-
Constructor.
- ShadowBorder(int) - Constructor for class weka.gui.knowledgeflow.ShadowBorder
-
Constructor.
- ShadowBorder(int, Color) - Constructor for class weka.gui.knowledgeflow.ShadowBorder
-
Constructor.
- shear(double, double) - Method in class weka.gui.visualize.PostscriptGraphics
-
- shift(int, int, Instance) - Method in class weka.classifiers.trees.j48.Distribution
-
Shifts given instance from one bag to another one.
- shift(int, int) - Method in class weka.core.matrix.IntVector
-
Shifts an element to another position.
- shiftBeans(BeanInstance, boolean) - Method in class weka.gui.beans.MetaBean
-
Move coords of all inputs and outputs of this meta bean to the coords of
the supplied BeanInstance.
- shiftRange(int, int, Instances, int, int) - Method in class weka.classifiers.trees.j48.Distribution
-
Shifts all instances in given range from one bag to another one.
- shiftToEnd(int) - Method in class weka.core.matrix.IntVector
-
Shifts an element to the end of the vector.
- SHORT - Static variable in class weka.experiment.DatabaseUtils
-
Type mapping for SHORT used for reading experiment results.
- show(Component, int, int) - Method in class weka.gui.GenericObjectEditor.JTreePopupMenu
-
Displays the menu, making sure it will fit on the screen.
- SHOW_GRID - Static variable in class weka.knowledgeflow.KFDefaults
-
- SHOW_GRID_KEY - Static variable in class weka.knowledgeflow.KFDefaults
-
- SHOW_JTREE_GLOBAL_INFO_TIPS - Static variable in class weka.knowledgeflow.KFDefaults
-
- SHOW_JTREE_TIP_TEXT_KEY - Static variable in class weka.knowledgeflow.KFDefaults
-
- showApplicationSettingsEditor(Settings, GUIApplication) - Static method in class weka.gui.SettingsEditor
-
Popup a settings editor for an application
- showAttributes() - Method in class weka.gui.arffviewer.ArffViewerMainPanel
-
displays all the attributes, returns the selected item or NULL if canceled
- showAverageTipText() - Method in class weka.experiment.ResultMatrix
-
Returns the tip text for this property.
- showChart() - Method in class weka.gui.beans.StripChart
-
Popup the chart panel
- showDialog(Component, String) - Method in class weka.gui.ConverterFileChooser
-
Pops a custom file chooser dialog with a custom approve button.
- showDialog() - Method in class weka.gui.experiment.OutputFormatDialog
-
Pops up the modal dialog and waits for cancel or a selection.
- showDialog() - Method in class weka.gui.ListSelectorDialog
-
Pops up the modal dialog and waits for cancel or a selection.
- showDialog() - Method in class weka.gui.PropertySelectorDialog
-
Pops up the modal dialog and waits for cancel or a selection.
- showDialog() - Method in class weka.gui.ViewerDialog
-
Pops up the modal dialog and waits for Cancel or OK.
- showDialog(Instances) - Method in class weka.gui.ViewerDialog
-
Pops up the modal dialog and waits for Cancel or OK.
- showErrorDialog(Exception) - Method in class weka.gui.AbstractGUIApplication
-
Popup a dialog displaying the supplied Exception
- showErrorDialog(Exception) - Method in interface weka.gui.GUIApplication
-
Popup a dialog displaying the supplied Exception
- showErrorDialog(Exception) - Method in class weka.gui.knowledgeflow.MainKFPerspective
-
Popup an error dialog
- showExplorer(String) - Method in class weka.gui.GUIChooserApp
-
- showHistory() - Method in class weka.gui.sql.ConnectionPanel
-
displays the query history.
- showHistory() - Method in class weka.gui.sql.QueryPanel
-
displays the query history.
- showInfoDialog(Object, String, boolean) - Method in class weka.gui.AbstractGUIApplication
-
Popup an information dialog
- showInfoDialog(Object, String, boolean) - Method in interface weka.gui.GUIApplication
-
Popup an information dialog
- showInfoDialog(Object, String, boolean) - Method in class weka.gui.knowledgeflow.MainKFPerspective
-
Popup an information dialog
- showInformationBox(Component, String, String, int) - Static method in class weka.gui.ComponentHelper
-
displays a message box with the given title, message, buttons and icon
ant the dimension.
- showInputBox(Component, String, String, Object) - Static method in class weka.gui.ComponentHelper
-
pops up an input dialog
- showKnowledgeFlow(String) - Method in class weka.gui.GUIChooserApp
-
- showMemoryIsLow() - Method in class weka.core.Memory
-
Prints a warning message if memoryIsLow (and if GUI is present a dialog).
- showMemoryIsLow() - Method in class weka.gui.knowledgeflow.MainKFPerspective
-
Print a warning if memory is low (and show a GUI dialog if running in a
graphical environment)
- showMenuBar(JFrame) - Method in class weka.gui.AbstractGUIApplication
-
Show the menu bar for the application
- showMenuBar(JFrame) - Method in interface weka.gui.GUIApplication
-
Show the menu bar for the application
- showMenuBar(JFrame) - Method in class weka.gui.PerspectiveManager
-
Tell the perspective manager to show the menu bar
- showMessageBox(Component, String, String, int, int) - Static method in class weka.gui.ComponentHelper
-
displays a message box with the given title, message, buttons and icon
ant the dimension.
- showOpenDialog(Component) - Method in class weka.gui.ConverterFileChooser
-
Pops up an "Open File" file chooser dialog.
- showOutOfMemory() - Method in class weka.core.Memory
-
prints an error message if OutOfMemory (and if GUI is present a dialog),
otherwise nothing happens.
- showPanel(ScriptingPanel, String[]) - Static method in class weka.gui.scripting.ScriptingPanel
-
Displays the panel in a frame.
- showPanel(ScriptingPanel, String[], int, int) - Static method in class weka.gui.scripting.ScriptingPanel
-
Displays the panel in a frame.
- showPerspectivesToolBar() - Method in class weka.gui.AbstractGUIApplication
-
Show the perspectives toolbar
- showPerspectivesToolBar() - Method in interface weka.gui.GUIApplication
-
Show the perspectives toolbar
- showPopup() - Method in class weka.gui.GenericObjectEditor.CapabilitiesFilterDialog
-
if a JPopupMenu is set, it is displayed again.
- showProperties() - Method in class weka.gui.arffviewer.ArffViewerMainPanel
-
displays some properties of the instances
- showPropertyDialog() - Method in class weka.gui.PropertyPanel
-
Displays the property edit dialog for the panel.
- showResults() - Method in class weka.gui.beans.GraphViewer
-
Popup a result list from which the user can select a graph to view
- showResults() - Method in class weka.gui.beans.TextViewer
-
Popup a component to display the selected text
- showSaveDialog(Component) - Method in class weka.gui.ConverterFileChooser
-
Pops up an "Save File" file chooser dialog.
- showSingleSettingsEditor(Settings, String, String, JComponent) - Static method in class weka.gui.SettingsEditor
-
Popup a single panel settings editor dialog for one group of related
settings
- showSingleSettingsEditor(Settings, String, String, JComponent, int, int) - Static method in class weka.gui.SettingsEditor
-
Popup a single panel settings editor dialog for one group of related
settings
- showStdDevTipText() - Method in class weka.experiment.ResultMatrix
-
Returns the tip text for this property.
- showTree() - Method in class weka.gui.HierarchyPropertyParser
-
Show the whole tree in text format
- showValues() - Method in class weka.gui.arffviewer.ArffViewerMainPanel
-
displays all the distinct values for an attribute
- showWindow(Container) - Method in class weka.gui.Main
-
brings child frame to the top.
- showWindow(Class<?>) - Method in class weka.gui.Main
-
brings the first frame to the top that is of the specified window class.
- shrinkageTipText() - Method in class weka.classifiers.meta.AdditiveRegression
-
Returns the tip text for this property
- shrinkageTipText() - Method in class weka.classifiers.meta.LogitBoost
-
Returns the tip text for this property
- sigLevel - Variable in class weka.experiment.PairedStats
-
The significance level for comparisons
- sigmaTipText() - Method in class weka.attributeSelection.ReliefFAttributeEval
-
Returns the tip text for this property
- sigmaTipText() - Method in class weka.classifiers.functions.supportVector.Puk
-
Returns the tip text for this property
- SigmoidKernelType - Class in weka.core.pmml.jaxbbindings
-
Java class for SigmoidKernelType element declaration.
- SigmoidKernelType() - Constructor for class weka.core.pmml.jaxbbindings.SigmoidKernelType
-
- SigmoidUnit - Class in weka.classifiers.functions.neural
-
This can be used by the
neuralnode to perform all it's computations (as a sigmoid unit).
- SigmoidUnit() - Constructor for class weka.classifiers.functions.neural.SigmoidUnit
-
- sign() - Method in class weka.core.matrix.DoubleVector
-
Returns the signs of all elements in terms of -1, 0 and +1.
- SIGNIFICANCE_LOSS - Static variable in class weka.experiment.ResultMatrix
-
loss.
- SIGNIFICANCE_TIE - Static variable in class weka.experiment.ResultMatrix
-
tie.
- SIGNIFICANCE_WIN - Static variable in class weka.experiment.ResultMatrix
-
win.
- significanceLevelTipText() - Method in class weka.associations.Apriori
-
Returns the tip text for this property
- significanceLevelTipText() - Method in class weka.filters.supervised.attribute.MergeNominalValues
-
Returns the tip text for this property
- significanceWidthTipText() - Method in class weka.experiment.ResultMatrix
-
Returns the tip text for this property.
- SimpleBatchFilter - Class in weka.filters
-
This filter is a superclass for simple batch filters.
- SimpleBatchFilter() - Constructor for class weka.filters.SimpleBatchFilter
-
- SimpleCLI - Class in weka.gui
-
Creates a very simple command line for invoking the main method of
classes.
- SimpleCLI() - Constructor for class weka.gui.SimpleCLI
-
Constructor.
- SimpleCLIPanel - Class in weka.gui
-
Creates a very simple command line for invoking the main method of classes.
- SimpleCLIPanel() - Constructor for class weka.gui.SimpleCLIPanel
-
- SimpleCLIPanel.ClassRunner - Class in weka.gui
-
A class that handles running the main method of the class in a separate
thread.
- SimpleCLIPanel.CommandlineCompletion - Class in weka.gui
-
A class for commandline completion of classnames.
- SimpleDateFormatEditor - Class in weka.gui
-
Class for editing SimpleDateFormat strings.
- SimpleDateFormatEditor() - Constructor for class weka.gui.SimpleDateFormatEditor
-
Constructs a new SimpleDateFormatEditor.
- SimpleEstimator - Class in weka.classifiers.bayes.net.estimate
-
SimpleEstimator is used for estimating the
conditional probability tables of a Bayes network once the structure has been
learned.
- SimpleEstimator() - Constructor for class weka.classifiers.bayes.net.estimate.SimpleEstimator
-
- SimpleFilter - Class in weka.filters
-
This filter contains common behavior of the SimpleBatchFilter and the
SimpleStreamFilter.
- SimpleFilter() - Constructor for class weka.filters.SimpleFilter
-
- SimpleKMeans - Class in weka.clusterers
-
Cluster data using the k means algorithm.
- SimpleKMeans() - Constructor for class weka.clusterers.SimpleKMeans
-
the default constructor.
- SimpleLinearRegression - Class in weka.classifiers.functions
-
Learns a simple linear regression model.
- SimpleLinearRegression() - Constructor for class weka.classifiers.functions.SimpleLinearRegression
-
- SimpleLinearRegression - Class in weka.classifiers.trees.lmt
-
Stripped down version of SimpleLinearRegression.
- SimpleLinearRegression() - Constructor for class weka.classifiers.trees.lmt.SimpleLinearRegression
-
Default constructor.
- SimpleLinearRegression(int, double, double) - Constructor for class weka.classifiers.trees.lmt.SimpleLinearRegression
-
Construct a simple linear regression model based on the given info.
- SimpleLog() - Constructor for class weka.core.Debug.SimpleLog
-
default constructor, uses only stdout
- SimpleLog(String) - Constructor for class weka.core.Debug.SimpleLog
-
Creates a logger that writes into the specified file.
- SimpleLog(String, boolean) - Constructor for class weka.core.Debug.SimpleLog
-
Creates a logger that writes into the specified file.
- SimpleLogger() - Constructor for class weka.gui.beans.FlowRunner.SimpleLogger
-
- SimpleLogger() - Constructor for class weka.knowledgeflow.FlowRunner.SimpleLogger
-
- SimpleLogistic - Class in weka.classifiers.functions
-
Classifier for building linear logistic regression
models.
- SimpleLogistic() - Constructor for class weka.classifiers.functions.SimpleLogistic
-
Constructor for creating SimpleLogistic object with standard options.
- SimpleLogistic(int, boolean, boolean) - Constructor for class weka.classifiers.functions.SimpleLogistic
-
Constructor for creating SimpleLogistic object.
- SimpleMatching - Class in weka.core.pmml.jaxbbindings
-
Java class for simpleMatching element declaration.
- SimpleMatching() - Constructor for class weka.core.pmml.jaxbbindings.SimpleMatching
-
- SimplePredicate - Class in weka.core.pmml.jaxbbindings
-
Java class for SimplePredicate element declaration.
- SimplePredicate() - Constructor for class weka.core.pmml.jaxbbindings.SimplePredicate
-
- SimpleRule - Class in weka.core.pmml.jaxbbindings
-
Java class for SimpleRule element declaration.
- SimpleRule() - Constructor for class weka.core.pmml.jaxbbindings.SimpleRule
-
- SimpleSetPredicate - Class in weka.core.pmml.jaxbbindings
-
Java class for SimpleSetPredicate element declaration.
- SimpleSetPredicate() - Constructor for class weka.core.pmml.jaxbbindings.SimpleSetPredicate
-
- SimpleSetupPanel - Class in weka.gui.experiment
-
This panel controls the configuration of an experiment.
- SimpleSetupPanel(Experiment) - Constructor for class weka.gui.experiment.SimpleSetupPanel
-
Creates the setup panel with the supplied initial experiment.
- SimpleSetupPanel() - Constructor for class weka.gui.experiment.SimpleSetupPanel
-
Creates the setup panel with no initial experiment.
- SimpleStreamFilter - Class in weka.filters
-
This filter is a superclass for simple stream filters.
- SimpleStreamFilter() - Constructor for class weka.filters.SimpleStreamFilter
-
- SimpleVariableDeclarations - Class in weka.core.expressionlanguage.common
-
A set of customizable variable declarations for primitive types.
- SimpleVariableDeclarations() - Constructor for class weka.core.expressionlanguage.common.SimpleVariableDeclarations
-
- SimpleVariableDeclarations.VariableInitializer - Class in weka.core.expressionlanguage.common
-
- SimulatedAnnealing - Class in weka.classifiers.bayes.net.search.global
-
This Bayes Network learning algorithm uses the
general purpose search method of simulated annealing to find a well scoring
network structure.
For more information see:
R.R.
- SimulatedAnnealing() - Constructor for class weka.classifiers.bayes.net.search.global.SimulatedAnnealing
-
- SimulatedAnnealing - Class in weka.classifiers.bayes.net.search.local
-
This Bayes Network learning algorithm uses the
general purpose search method of simulated annealing to find a well scoring
network structure.
For more information see:
R.R.
- SimulatedAnnealing() - Constructor for class weka.classifiers.bayes.net.search.local.SimulatedAnnealing
-
- SINE - Static variable in class weka.datagenerators.clusterers.BIRCHCluster
-
Constant set for choice of pattern.
- SingleAssociatorEnhancer - Class in weka.associations
-
Abstract utility class for handling settings common to meta associators that
use a single base associator.
- SingleAssociatorEnhancer() - Constructor for class weka.associations.SingleAssociatorEnhancer
-
- SingleClassifierEnhancer - Class in weka.classifiers
-
Abstract utility class for handling settings common to meta
classifiers that use a single base learner.
- SingleClassifierEnhancer() - Constructor for class weka.classifiers.SingleClassifierEnhancer
-
- SingleClustererEnhancer - Class in weka.clusterers
-
Meta-clusterer for enhancing a base clusterer.
- SingleClustererEnhancer() - Constructor for class weka.clusterers.SingleClustererEnhancer
-
- SingleIndex - Class in weka.core
-
Class representing a single cardinal number.
- SingleIndex() - Constructor for class weka.core.SingleIndex
-
Default constructor.
- SingleIndex(String) - Constructor for class weka.core.SingleIndex
-
Constructor to set initial index.
- SingleSettingsEditor(Map<Settings.SettingKey, Object>) - Constructor for class weka.gui.SettingsEditor.SingleSettingsEditor
-
- SingleThreadedExecution - Annotation Type in weka.knowledgeflow
-
Class annotation that can be used to indicate that something should
be executed in a non-parallel manner - i.e.
- singletons(Instances, boolean) - Static method in class weka.associations.AprioriItemSet
-
Converts the header info of the given set of instances into a set of item
sets (singletons).
- singletons(Instances) - Static method in class weka.associations.ItemSet
-
Converts the header info of the given set of instances into a set of item
sets (singletons).
- singletons(Instances, Instances) - Static method in class weka.associations.LabeledItemSet
-
Converts the header info of the given set of instances into a set of item
sets (singletons).
- SINGULAR_DUMMY - Static variable in interface weka.gui.graphvisualizer.GraphConstants
-
SINGULAR_DUMMY node - node with only one outgoing edge
i.e.
- SingularValueDecomposition - Class in weka.core.matrix
-
Singular Value Decomposition.
- SingularValueDecomposition(Matrix) - Constructor for class weka.core.matrix.SingularValueDecomposition
-
Construct the singular value decomposition
- size() - Method in class weka.classifiers.CostMatrix
-
The number of rows (and columns)
- size() - Method in class weka.classifiers.evaluation.ConfusionMatrix
-
Gets the number of classes.
- size() - Method in class weka.classifiers.lazy.kstar.KStarCache.CacheTable
-
Returns the number of keys in this hashtable.
- size() - Method in class weka.classifiers.rules.JRip.RipperRule
-
the number of antecedents of the rule
- size() - Method in class weka.classifiers.rules.Rule
-
The size of the rule.
- size() - Method in class weka.core.Instances
-
Returns the number of instances in the dataset.
- size() - Method in class weka.core.matrix.DoubleVector
-
Gets the size of the vector.
- size() - Method in class weka.core.matrix.IntVector
-
Gets the size of the vector.
- size() - Method in class weka.core.PropertyPath.Path
-
returns the number of path elements of this structure
- size() - Method in class weka.core.Queue
-
Gets queue's size.
- size() - Method in class weka.core.Tee
-
returns the number of streams currently in the list.
- size() - Method in class weka.core.Trie
-
Returns the number of elements in this collection.
- size() - Method in class weka.core.Trie.TrieNode
-
returns the number of stored strings, i.e., leaves
- size() - Method in class weka.core.xml.MethodHandler
-
returns the number of currently stored Methods
- size() - Method in class weka.gui.GenericObjectEditorHistory
-
Returns the number of entries in the history.
- size() - Method in class weka.knowledgeflow.Flow
-
Get the number of steps in this flow
- sizeOfPredictedRegions() - Method in class weka.classifiers.evaluation.Evaluation
-
Gets the average size of the predicted regions, relative to the range of
the target in the training data, at the confidence level specified when
evaluation was performed.
- sizeOfPredictedRegions() - Method in class weka.classifiers.Evaluation
-
Gets the average size of the predicted regions, relative to the range of
the target in the training data, at the confidence level specified when
evaluation was performed.
- skipIdenticalTipText() - Method in class weka.core.neighboursearch.LinearNNSearch
-
Returns the tip text for this property.
- SlidingMidPointOfWidestSide - Class in weka.core.neighboursearch.kdtrees
-
The class that splits a node into two based on the midpoint value of the dimension in which the node's rectangle is widest.
- SlidingMidPointOfWidestSide() - Constructor for class weka.core.neighboursearch.kdtrees.SlidingMidPointOfWidestSide
-
- sm(double, double) - Static method in class weka.core.Utils
-
Tests if a is smaller than b.
- SMALL - Static variable in class weka.core.Utils
-
The small deviation allowed in double comparisons.
- SMO - Class in weka.classifiers.functions
-
Implements John Platt's sequential minimal optimization algorithm for training a support vector classifier.
This implementation globally replaces all missing values and transforms nominal attributes into binary ones.
- SMO() - Constructor for class weka.classifiers.functions.SMO
-
- SMO.BinarySMO - Class in weka.classifiers.functions
-
Class for building a binary support vector machine.
- SMOreg - Class in weka.classifiers.functions
-
SMOreg implements the support vector machine for regression.
- SMOreg() - Constructor for class weka.classifiers.functions.SMOreg
-
- smOrEq(double, double) - Static method in class weka.core.Utils
-
Tests if a is smaller or equal to b.
- SMOset - Class in weka.classifiers.functions.supportVector
-
Stores a set of integer of a given size.
- SMOset(int) - Constructor for class weka.classifiers.functions.supportVector.SMOset
-
Creates a new set of the given size.
- SNAPSHOT - Static variable in class weka.core.Version
-
True if snapshot
- SnowballStemmer - Class in weka.core.stemmers
-
A wrapper class for the Snowball stemmers.
- SnowballStemmer() - Constructor for class weka.core.stemmers.SnowballStemmer
-
initializes the stemmer ("porter").
- SnowballStemmer(String) - Constructor for class weka.core.stemmers.SnowballStemmer
-
initializes the stemmer with the given stemmer.
- solve(Matrix) - Method in class weka.core.matrix.CholeskyDecomposition
-
Solve A*X = B
- solve(Matrix) - Method in class weka.core.matrix.LUDecomposition
-
Solve A*X = B
- solve(Matrix) - Method in class weka.core.matrix.Matrix
-
Solve A*X = B
- solve(Matrix) - Method in class weka.core.matrix.QRDecomposition
-
Least squares solution of A*X = B
- solve(double[]) - Method in class weka.core.Matrix
-
Deprecated.
Solve A*X = B using backward substitution.
- solveTranspose(Matrix) - Method in class weka.core.matrix.Matrix
-
Solve X*A = B, which is also A'*X' = B'
- solveTriangle(Matrix, double[], boolean, boolean[]) - Static method in class weka.core.Optimization
-
Solve the linear equation of TX=B where T is a triangle matrix It can be
solved using back/forward substitution, with O(N^2) complexity
- sort(int) - Method in class weka.core.Instances
-
Sorts the instances based on an attribute.
- sort(Attribute) - Method in class weka.core.Instances
-
Sorts the instances based on an attribute.
- sort() - Method in class weka.core.matrix.DoubleVector
-
Sorts the array in place
- sort() - Method in class weka.core.matrix.IntVector
-
Sorts the elements in place
- sort(int[]) - Static method in class weka.core.Utils
-
Sorts a given array of integers in ascending order and returns an array of
integers with the positions of the elements of the original array in the
sorted array.
- sort(double[]) - Static method in class weka.core.Utils
-
Sorts a given array of doubles in ascending order and returns an array of
integers with the positions of the elements of the original array in the
sorted array.
- sort(int, boolean) - Method in class weka.gui.arffviewer.ArffSortedTableModel
-
sorts the table over the given column, either ascending or descending
- sort(int) - Method in class weka.gui.SortedTableModel
-
sorts the table over the given column (ascending)
- sort(int, boolean) - Method in class weka.gui.SortedTableModel
-
sorts the table over the given column, either ascending or descending
- SORT_CASEINSENSITIVE - Static variable in class weka.filters.unsupervised.attribute.SortLabels
-
sorts the strings case-insensitive.
- SORT_CASESENSITIVE - Static variable in class weka.filters.unsupervised.attribute.SortLabels
-
sorts the strings case-sensitive.
- sortClassesByRoot(String) - Static method in class weka.gui.GenericObjectEditor
-
parses the given string of classes separated by ", " and returns the a
hashtable with as many entries as there are different root elements in the
class names (the key is the root element).
- SortContainer(Comparable<?>, int) - Constructor for class weka.gui.SortedTableModel.SortContainer
-
Initializes the container.
- sortDictionaryTipText() - Method in class weka.core.DictionaryBuilder
-
Tip text for this property
- SortedTableModel - Class in weka.gui
-
Represents a TableModel with sorting functionality.
- SortedTableModel() - Constructor for class weka.gui.SortedTableModel
-
initializes with no model
- SortedTableModel(TableModel) - Constructor for class weka.gui.SortedTableModel
-
initializes with the given model
- SortedTableModel.SortContainer - Class in weka.gui
-
Helper class for sorting the columns.
- Sorter - Class in weka.gui.beans
-
Sorts incoming instances in ascending or descending
order according to the values of user specified attributes.
- Sorter() - Constructor for class weka.gui.beans.Sorter
-
Constructs a new Sorter
- Sorter - Class in weka.knowledgeflow.steps
-
Step for sorting instances according to one or more attributes.
- Sorter() - Constructor for class weka.knowledgeflow.steps.Sorter
-
- Sorter.SortRule - Class in weka.knowledgeflow.steps
-
Implements a sorting rule based on a single attribute
- SorterBeanInfo - Class in weka.gui.beans
-
BeanInfo class for the Sorter step
- SorterBeanInfo() - Constructor for class weka.gui.beans.SorterBeanInfo
-
- SorterCustomizer - Class in weka.gui.beans
-
Customizer for the Sorter step
- SorterCustomizer() - Constructor for class weka.gui.beans.SorterCustomizer
-
Constructor
- SorterStepEditorDialog - Class in weka.gui.knowledgeflow.steps
-
Step editor dialog for the Sorter step
- SorterStepEditorDialog() - Constructor for class weka.gui.knowledgeflow.steps.SorterStepEditorDialog
-
- sortInstances() - Method in class weka.gui.arffviewer.ArffPanel
-
sorts the instances via the currently selected column
- sortInstances(int) - Method in class weka.gui.arffviewer.ArffSortedTableModel
-
sorts the instances via the given attribute
- sortInstances(int, boolean) - Method in class weka.gui.arffviewer.ArffSortedTableModel
-
sorts the instances via the given attribute
- sortInstances(int) - Method in class weka.gui.arffviewer.ArffTableModel
-
sorts the instances via the given attribute (ascending)
- sortInstances(int, boolean) - Method in class weka.gui.arffviewer.ArffTableModel
-
sorts the instances via the given attribute
- sortInstances() - Method in class weka.gui.arffviewer.ArffViewerMainPanel
-
sorts the current selected attribute
- SortLabels - Class in weka.filters.unsupervised.attribute
-
A simple filter for sorting the labels of nominal
attributes.
- SortLabels() - Constructor for class weka.filters.unsupervised.attribute.SortLabels
-
- SortLabels.CaseInsensitiveComparator - Class in weka.filters.unsupervised.attribute
-
Represents a case-insensitive comparator for two strings.
- SortLabels.CaseSensitiveComparator - Class in weka.filters.unsupervised.attribute
-
Represents a case-sensitive comparator for two strings.
- SortRule(String, boolean) - Constructor for class weka.knowledgeflow.steps.Sorter.SortRule
-
Constructor
- SortRule() - Constructor for class weka.knowledgeflow.steps.Sorter.SortRule
-
Constructor
- SortRule(String) - Constructor for class weka.knowledgeflow.steps.Sorter.SortRule
-
Constructor
- sortTipText() - Method in class weka.filters.unsupervised.attribute.AddValues
-
Returns the tip text for this property
- sortTypeTipText() - Method in class weka.filters.unsupervised.attribute.SortLabels
-
Returns the tip text for this property.
- sortWithIndex() - Method in class weka.core.matrix.DoubleVector
-
Sorts the array in place with index returned
- sortWithIndex(int, int, IntVector) - Method in class weka.core.matrix.DoubleVector
-
Sorts the array in place with index changed
- sortWithNoMissingValues(double[]) - Static method in class weka.core.Utils
-
Sorts a given array of doubles in ascending order and returns an array of
integers with the positions of the elements of the original array in the
sorted array.
- Sourcable - Interface in weka.classifiers
-
Interface for classifiers that can be converted to Java source.
- Sourcable - Interface in weka.filters
-
Interface for filters that can be converted to Java source.
- sourceClass(int, Instances) - Method in class weka.classifiers.trees.j48.ClassifierSplitModel
-
- sourceExpression(int, Instances) - Method in class weka.classifiers.trees.j48.BinC45Split
-
Returns a string containing java source code equivalent to the test made at
this node.
- sourceExpression(int, Instances) - Method in class weka.classifiers.trees.j48.C45Split
-
Returns a string containing java source code equivalent to the test made at
this node.
- sourceExpression(int, Instances) - Method in class weka.classifiers.trees.j48.ClassifierSplitModel
-
- sourceExpression(int, Instances) - Method in class weka.classifiers.trees.j48.NBTreeNoSplit
-
Returns a string containing java source code equivalent to the test
made at this node.
- sourceExpression(int, Instances) - Method in class weka.classifiers.trees.j48.NBTreeSplit
-
Returns a string containing java source code equivalent to the test made at
this node.
- sourceExpression(int, Instances) - Method in class weka.classifiers.trees.j48.NoSplit
-
Returns a string containing java source code equivalent to the test
made at this node.
- sourceExpression(int, Instances) - Method in class weka.classifiers.trees.lmt.ResidualSplit
-
Method not in use
- SOUTH_CONNECTOR - Static variable in class weka.gui.beans.BeanVisual
-
- spaceHorizontal(ArrayList<Integer>) - Method in class weka.classifiers.bayes.net.EditableBayesNet
-
space out set of nodes evenly between left and right most node in the list
- spaceVertical(ArrayList<Integer>) - Method in class weka.classifiers.bayes.net.EditableBayesNet
-
space out set of nodes evenly between top and bottom most node in the list
- SPARSE - Static variable in class weka.core.json.JSONInstances
-
the sparse attribute.
- SPARSE1 - Static variable in class weka.filters.unsupervised.attribute.RandomProjection
-
distribution type: sparse 1
- SPARSE2 - Static variable in class weka.filters.unsupervised.attribute.RandomProjection
-
distribution type: sparse 2
- SPARSE_SEPARATOR - Static variable in class weka.core.json.JSONInstances
-
the separator for index/value in case of sparse instances.
- SparseArray - Class in weka.core.pmml
-
Implementation of a sparse array.
- sparseDataTipText() - Method in class weka.core.converters.DatabaseLoader
-
Returns the tip text for this property
- sparseDataTipText() - Method in class weka.experiment.InstanceQuery
-
Returns the tip text for this property
- sparseIndices() - Method in class weka.classifiers.functions.SMO
-
Returns the indices in sparse format.
- SparseInstance - Class in weka.core
-
Class for storing an instance as a sparse vector.
- SparseInstance(Instance) - Constructor for class weka.core.SparseInstance
-
Constructor that generates a sparse instance from the given instance.
- SparseInstance(SparseInstance) - Constructor for class weka.core.SparseInstance
-
Constructor that copies the info from the given instance.
- SparseInstance(double, double[]) - Constructor for class weka.core.SparseInstance
-
Constructor that generates a sparse instance from the given parameters.
- SparseInstance(double, double[], int[], int) - Constructor for class weka.core.SparseInstance
-
Constructor that initializes instance variable with given values.
- SparseInstance(int) - Constructor for class weka.core.SparseInstance
-
Constructor of an instance that sets weight to one, all values to be
missing, and the reference to the dataset to null.
- SparseToNonSparse - Class in weka.filters.unsupervised.instance
-
An instance filter that converts all incoming sparse instances into non-sparse format.
- SparseToNonSparse() - Constructor for class weka.filters.unsupervised.instance.SparseToNonSparse
-
- sparseWeights() - Method in class weka.classifiers.functions.SMO
-
Returns the weights in sparse format.
- SpecialFunctions - Class in weka.core
-
Class implementing some mathematical functions.
- SpecialFunctions() - Constructor for class weka.core.SpecialFunctions
-
- sphere - Variable in class weka.classifiers.lazy.kstar.KStarWrapper
-
used/reused to hold the sphere size
- splash(Image, List<String>) - Static method in class weka.gui.SplashWindow
-
Open's a splash window using the specified image.
- splash(URL) - Static method in class weka.gui.SplashWindow
-
Open's a splash window using the specified image.
- splash(URL, List<String>) - Static method in class weka.gui.SplashWindow
-
Open's a splash window using the specified image and message
- SplashWindow - Class in weka.gui
-
A Splash window.
- Split - Class in weka.classifiers.trees.ht
-
Base class for different split types
- Split() - Constructor for class weka.classifiers.trees.ht.Split
-
- split(Instances) - Method in class weka.classifiers.trees.j48.ClassifierSplitModel
-
Splits the given set of instances into subsets.
- split() - Method in class weka.classifiers.trees.m5.RuleNode
-
Finds an attribute and split point for this node
- splitAtt() - Method in class weka.classifiers.trees.m5.RuleNode
-
Get the index of the splitting attribute for this node
- splitAttr() - Method in class weka.classifiers.trees.m5.CorrelationSplitInfo
-
Returns the attribute used in this split
- splitAttr() - Method in interface weka.classifiers.trees.m5.SplitEvaluate
-
Returns the attribute used in this split
- splitAttr() - Method in class weka.classifiers.trees.m5.YongSplitInfo
-
Returns the attribute used in this split
- splitAttributes() - Method in class weka.classifiers.trees.ht.Split
-
- SplitCandidate - Class in weka.classifiers.trees.ht
-
Encapsulates a candidate split
- SplitCandidate(Split, List<Map<String, WeightMass>>, double) - Constructor for class weka.classifiers.trees.ht.SplitCandidate
-
Constructor
- splitConfidenceTipText() - Method in class weka.classifiers.trees.HoeffdingTree
-
Returns the tip text for this property
- SplitCriterion - Class in weka.classifiers.trees.j48
-
Abstract class for computing splitting criteria
with respect to distributions of class values.
- SplitCriterion() - Constructor for class weka.classifiers.trees.j48.SplitCriterion
-
- splitCriterionTipText() - Method in class weka.classifiers.trees.HoeffdingTree
-
Returns the tip text for this property
- splitCritValue(Distribution) - Method in class weka.classifiers.trees.j48.EntropySplitCrit
-
Computes entropy for given distribution.
- splitCritValue(Distribution, Distribution) - Method in class weka.classifiers.trees.j48.EntropySplitCrit
-
Computes entropy of test distribution with respect to training distribution.
- splitCritValue(Distribution) - Method in class weka.classifiers.trees.j48.GainRatioSplitCrit
-
This method is a straightforward implementation of the gain ratio criterion
for the given distribution.
- splitCritValue(Distribution, double, double) - Method in class weka.classifiers.trees.j48.GainRatioSplitCrit
-
This method computes the gain ratio in the same way C4.5 does.
- splitCritValue(Distribution) - Method in class weka.classifiers.trees.j48.InfoGainSplitCrit
-
This method is a straightforward implementation of the information gain
criterion for the given distribution.
- splitCritValue(Distribution, double) - Method in class weka.classifiers.trees.j48.InfoGainSplitCrit
-
This method computes the information gain in the same way C4.5 does.
- splitCritValue(Distribution, double, double) - Method in class weka.classifiers.trees.j48.InfoGainSplitCrit
-
This method computes the information gain in the same way C4.5 does.
- splitCritValue(Distribution) - Method in class weka.classifiers.trees.j48.SplitCriterion
-
Computes result of splitting criterion for given distribution.
- splitCritValue(Distribution, Distribution) - Method in class weka.classifiers.trees.j48.SplitCriterion
-
Computes result of splitting criterion for given training and
test distributions.
- splitCritValue(Distribution, Distribution, int) - Method in class weka.classifiers.trees.j48.SplitCriterion
-
Computes result of splitting criterion for given training and
test distributions and given number of classes.
- splitCritValue(Distribution, Distribution, Distribution) - Method in class weka.classifiers.trees.j48.SplitCriterion
-
Computes result of splitting criterion for given training and
test distributions and given default distribution.
- splitData(Instances, double, double) - Method in class weka.classifiers.rules.JRip.Antd
-
- splitData(Instances, double, double) - Method in class weka.classifiers.rules.JRip.NominalAntd
-
Implements the splitData function.
- splitData(Instances, double, double) - Method in class weka.classifiers.rules.JRip.NumericAntd
-
Implements the splitData function.
- splitEnt(Distribution) - Method in class weka.classifiers.trees.j48.EntropyBasedSplitCrit
-
Computes entropy after splitting without considering the
class values.
- SplitEvaluate - Interface in weka.classifiers.trees.m5
-
Interface for objects that determine a split point on an attribute
- SplitEvaluator - Interface in weka.experiment
-
Interface to objects able to generate a fixed set of results for
a particular split of a dataset.
- splitEvaluatorTipText() - Method in class weka.experiment.CrossValidationResultProducer
-
Returns the tip text for this property
- splitEvaluatorTipText() - Method in class weka.experiment.ExplicitTestsetResultProducer
-
Returns the tip text for this property.
- splitEvaluatorTipText() - Method in class weka.experiment.RandomSplitResultProducer
-
Returns the tip text for this property
- SplitMetric - Class in weka.classifiers.trees.ht
-
Base class for split metrics
- SplitMetric() - Constructor for class weka.classifiers.trees.ht.SplitMetric
-
- SplitNode - Class in weka.classifiers.trees.ht
-
Class for a node that splits the data in a Hoeffding tree
- SplitNode(Map<String, WeightMass>, Split) - Constructor for class weka.classifiers.trees.ht.SplitNode
-
Construct a new SplitNode
- splitNode(BallNode, int) - Method in class weka.core.neighboursearch.balltrees.BallSplitter
-
Splits a node into two.
- splitNode(BallNode, int) - Method in class weka.core.neighboursearch.balltrees.MedianDistanceFromArbitraryPoint
-
Splits a ball into two.
- splitNode(BallNode, int) - Method in class weka.core.neighboursearch.balltrees.MedianOfWidestDimension
-
Splits a ball into two.
- splitNode(BallNode, int) - Method in class weka.core.neighboursearch.balltrees.PointsClosestToFurthestChildren
-
Splits a ball into two.
- splitNode(KDTreeNode, int, double[][], double[][]) - Method in class weka.core.neighboursearch.kdtrees.KDTreeNodeSplitter
-
Splits a node into two.
- splitNode(KDTreeNode, int, double[][], double[][]) - Method in class weka.core.neighboursearch.kdtrees.KMeansInpiredMethod
-
Splits a node into two such that the overall sum of squared distances of
points to their centres on both sides of the (axis-parallel) splitting
plane is minimum.
- splitNode(KDTreeNode, int, double[][], double[][]) - Method in class weka.core.neighboursearch.kdtrees.MedianOfWidestDimension
-
Splits a node into two based on the median value of the dimension
in which the points have the widest spread.
- splitNode(KDTreeNode, int, double[][], double[][]) - Method in class weka.core.neighboursearch.kdtrees.MidPointOfWidestDimension
-
Splits a node into two based on the midpoint value of the dimension
in which the points have the widest spread.
- splitNode(KDTreeNode, int, double[][], double[][]) - Method in class weka.core.neighboursearch.kdtrees.SlidingMidPointOfWidestSide
-
Splits a node into two based on the midpoint value of the dimension
in which the node's rectangle is widest.
- splitOnResidualsTipText() - Method in class weka.classifiers.trees.LMT
-
Returns the tip text for this property
- splitOptions(String) - Static method in class weka.core.Utils
-
Split up a string containing options into an array of strings, one for each
option.
- splitOptions(String, String[], char[]) - Static method in class weka.core.Utils
-
Split up a string containing options into an array of strings, one for each option.
- splitPercentageTipText() - Method in class weka.classifiers.meta.IterativeClassifierOptimizer
-
Returns the tip text for this property
- splitPercentTipText() - Method in class weka.attributeSelection.ClassifierSubsetEval
-
Returns the tip text for this property
- splitPoint() - Method in class weka.classifiers.trees.j48.BinC45Split
-
Returns the split point (numeric attribute only).
- splitPoint() - Method in class weka.classifiers.trees.j48.C45Split
-
Returns the split point (numeric attribute only).
- splitPointTipText() - Method in class weka.filters.unsupervised.instance.RemoveWithValues
-
Returns the tip text for this property
- splitVal() - Method in class weka.classifiers.trees.m5.RuleNode
-
Get the split point for this node
- splitValue() - Method in class weka.classifiers.trees.m5.CorrelationSplitInfo
-
Returns the split value
- splitValue() - Method in interface weka.classifiers.trees.m5.SplitEvaluate
-
Returns the split value
- splitValue() - Method in class weka.classifiers.trees.m5.YongSplitInfo
-
Returns the split value
- spreadAttributeWeightTipText() - Method in class weka.filters.supervised.attribute.Discretize
-
Returns the tip text for this property
- spreadAttributeWeightTipText() - Method in class weka.filters.supervised.attribute.NominalToBinary
-
Returns the tip text for this property
- spreadAttributeWeightTipText() - Method in class weka.filters.unsupervised.attribute.Discretize
-
Returns the tip text for this property
- spreadAttributeWeightTipText() - Method in class weka.filters.unsupervised.attribute.NominalToBinary
-
Returns the tip text for this property
- spreadInitialCountTipText() - Method in class weka.classifiers.trees.REPTree
-
Returns the tip text for this property
- SpreadSubsample - Class in weka.filters.supervised.instance
-
Produces a random subsample of a dataset.
- SpreadSubsample() - Constructor for class weka.filters.supervised.instance.SpreadSubsample
-
- sqDifference(int, double, double) - Method in class weka.core.EuclideanDistance
-
Returns the squared difference of two values of an attribute.
- SqlViewer - Class in weka.gui.sql
-
Represents a little tool for querying SQL databases.
- SqlViewer(JFrame) - Constructor for class weka.gui.sql.SqlViewer
-
initializes the SqlViewer.
- SqlViewerDialog - Class in weka.gui.sql
-
A little dialog containing the SqlViewer.
- SqlViewerDialog(JFrame) - Constructor for class weka.gui.sql.SqlViewerDialog
-
initializes the dialog.
- SQLViewerPerspective - Class in weka.gui.beans
-
Simple Knowledge Flow perspective that wraps the SqlViewer class
- SQLViewerPerspective() - Constructor for class weka.gui.beans.SQLViewerPerspective
-
Constructor
- SQLViewerPerspective - Class in weka.gui.knowledgeflow
-
Perspective that wraps the {@code SQLViewer) component
- SQLViewerPerspective() - Constructor for class weka.gui.knowledgeflow.SQLViewerPerspective
-
Constructor
- sqrt() - Method in class weka.core.matrix.DoubleVector
-
Returns the square-root of all the elements in the vector
- sqrt() - Method in class weka.core.matrix.Matrix
-
returns the square root of the matrix, i.e., X from the equation X*X = A.
Steps in the Calculation (see
sqrtm
in Matlab):
perform eigenvalue decomposition
[V,D]=eig(A)
take the square root of all elements in D (only the ones with positive
sign are considered for further computation)
S=sqrt(D)
calculate the root
X=V*S/V, which can be also written as X=(V'\(V*S)')'
Note: since this method uses other high-level methods, it generates
several instances of matrices.
- square() - Method in class weka.core.matrix.DoubleVector
-
Returns the squared vector
- square(double) - Static method in class weka.core.matrix.Maths
-
Returns the square of a value
- SquaredEuclidean - Class in weka.core.pmml.jaxbbindings
-
Java class for squaredEuclidean element declaration.
- SquaredEuclidean() - Constructor for class weka.core.pmml.jaxbbindings.SquaredEuclidean
-
- SQUAREDLOSS - Static variable in class weka.classifiers.functions.SGD
-
the squared loss function.
- src - Variable in class weka.gui.graphvisualizer.GraphEdge
-
The index of source node in Nodes vector
- srcLbl - Variable in class weka.gui.graphvisualizer.GraphEdge
-
Label of source node
- stableSort(int) - Method in class weka.core.Instances
-
Sorts the instances based on an attribute, using a stable sort.
- stableSort(Attribute) - Method in class weka.core.Instances
-
Sorts the instances based on an attribute, using a stable sort.
- stableSort(double[]) - Static method in class weka.core.Utils
-
Sorts a given array of doubles in ascending order and returns an array of
integers with the positions of the elements of the original array in the
sorted array.
- Stack<T> - Class in weka.core.neighboursearch.covertrees
-
Class implementing a stack.
- Stack() - Constructor for class weka.core.neighboursearch.covertrees.Stack
-
Constructor.
- Stack(int) - Constructor for class weka.core.neighboursearch.covertrees.Stack
-
Constructor.
- Stacking - Class in weka.classifiers.meta
-
Combines several classifiers using the stacking method.
- Stacking() - Constructor for class weka.classifiers.meta.Stacking
-
- stackTraceToString(Throwable) - Static method in class weka.knowledgeflow.LogManager
-
Utility method to convert a stack trace to a String
- StandardEvaluationMetric - Interface in weka.classifiers.evaluation
-
Primarily a marker interface for a "standard" evaluation metric - i.e.
- Standardize - Class in weka.filters.unsupervised.attribute
-
Standardizes all numeric attributes in the given dataset to have zero mean and unit variance (apart from the class attribute, if set).
- Standardize() - Constructor for class weka.filters.unsupervised.attribute.Standardize
-
- start() - Method in class weka.core.Debug.Clock
-
saves the current system time (or CPU time) in msec as start time
- start() - Method in class weka.gui.beans.Loader
-
Start loading
- start() - Method in class weka.gui.beans.MetaBean
-
- start() - Method in interface weka.gui.beans.Startable
-
Start the flow running
- start() - Method in class weka.gui.boundaryvisualizer.BoundaryPanel
-
Start the plotting thread
- start() - Method in class weka.gui.boundaryvisualizer.BoundaryPanelDistributed
-
Start processing
- start(String[]) - Method in class weka.gui.scripting.Script
-
Executes the script.
- start() - Method in class weka.knowledgeflow.steps.BaseStep
-
Start processing.
- start() - Method in interface weka.knowledgeflow.steps.BaseStepExtender
-
Start executing (if this component is a start point).
- start() - Method in class weka.knowledgeflow.steps.DataGenerator
-
Start the data generation process.
- start() - Method in class weka.knowledgeflow.steps.DataGrid
-
Start processing
- start() - Method in class weka.knowledgeflow.steps.ExecuteProcess
-
Start processing if operating as a start point in a flow
- start() - Method in class weka.knowledgeflow.steps.GetDataFromResult
-
- start() - Method in class weka.knowledgeflow.steps.Job
-
- start() - Method in class weka.knowledgeflow.steps.Loader
-
Start executing
- start() - Method in class weka.knowledgeflow.steps.MemoryBasedDataSource
-
Start processing
- start() - Method in interface weka.knowledgeflow.steps.Step
-
Start executing (if this component is a start point)
- start_production() - Method in class weka.core.expressionlanguage.parser.Parser
-
Indicates start production.
- start_production() - Method in class weka.core.json.Parser
-
Indicates start production.
- start_state() - Method in class weka.core.expressionlanguage.parser.Parser
-
Indicates start state.
- start_state() - Method in class weka.core.json.Parser
-
Indicates start state.
- Startable - Interface in weka.gui.beans
-
Interface to something that is a start point for a flow and
can be launched programatically.
- startApp() - Static method in class weka.gui.beans.KnowledgeFlow
-
Static method that can be called from a running program to launch the
KnowledgeFlow
- startClock() - Method in class weka.core.Debug
-
starts the clock
- startLoading() - Method in class weka.gui.beans.Loader
-
Start loading data
- startPlotThread() - Method in class weka.gui.boundaryvisualizer.BoundaryPanel
-
Starts the plotting thread.
- StartSetHandler - Interface in weka.attributeSelection
-
Interface for search methods capable of doing something sensible
given a starting set of attributes.
- startSetTipText() - Method in class weka.attributeSelection.BestFirst
-
Returns the tip text for this property
- startSetTipText() - Method in class weka.attributeSelection.GreedyStepwise
-
Returns the tip text for this property
- startSetTipText() - Method in class weka.attributeSelection.Ranker
-
Returns the tip text for this property
- startThread(SimpleCLIPanel.ClassRunner) - Method in class weka.gui.SimpleCLIPanel
-
Starts the thread.
- startupCheck(boolean, PrintStream...) - Static method in class weka.core.WekaPackageManager
-
- startUpComplete() - Method in interface weka.gui.beans.StartUpListener
-
- StartUpListener - Interface in weka.gui.beans
-
Interface to something that can be notified of a successful startup
- stateChanged(ChangeEvent) - Method in class weka.gui.arffviewer.ArffPanel
-
Invoked when the target of the listener has changed its state.
- stateChanged(ChangeEvent) - Method in class weka.gui.arffviewer.ArffViewerMainPanel
-
Invoked when the target of the listener has changed its state.
- stateChanged(ChangeEvent) - Method in class weka.gui.LogWindow
-
Invoked when the target of the listener has changed its state.
- stateChanged(ChangeEvent) - Method in class weka.gui.sql.ResultPanel
-
Invoked when the target of the listener has changed its state.
- stateChanged(ChangeEvent) - Method in class weka.gui.ViewerDialog
-
Invoked when the target of the listener has changed its state.
- statisticIsMaximisable(String) - Method in class weka.classifiers.evaluation.AbstractEvaluationMetric
-
True if the optimum value of the named metric is a maximum value; false if
the optimim value is a minimum value.
- Statistics - Class in weka.core
-
Class implementing some distributions, tests, etc.
- Statistics() - Constructor for class weka.core.Statistics
-
- Stats - Class in weka.classifiers.trees.j48
-
Class implementing a statistical routine needed by J48 to
compute its error estimate.
- Stats() - Constructor for class weka.classifiers.trees.j48.Stats
-
- Stats - Class in weka.experiment
-
A class to store simple statistics.
- Stats() - Constructor for class weka.experiment.Stats
-
- StatsHelper - Class in weka.core.expressionlanguage.weka
-
A helper class to expose a Stats object to a program
- StatsHelper() - Constructor for class weka.core.expressionlanguage.weka.StatsHelper
-
- statusFrequencyTipText() - Method in class weka.gui.beans.IncrementalClassifierEvaluator
-
Return a tip text string for this property
- statusFrequencyTipText() - Method in class weka.knowledgeflow.steps.IncrementalClassifierEvaluator
-
Return a tip text string for this property
- statusMessage(String) - Method in class weka.gui.beans.FlowRunner.SimpleLogger
-
- statusMessage(String) - Method in class weka.gui.beans.LogPanel
-
Sends the supplied message to the status area.
- statusMessage(String) - Method in interface weka.gui.Logger
-
Sends the supplied message to the status line.
- statusMessage(String) - Method in class weka.gui.LogPanel
-
Sends the supplied message to the status line.
- statusMessage(String) - Method in class weka.gui.SysErrLog
-
Sends the supplied message to the status line.
- statusMessage(String) - Method in class weka.knowledgeflow.FlowRunner.SimpleLogger
-
- statusMessage(String) - Method in class weka.knowledgeflow.LogManager
-
Output a status message
- statusMessage(String) - Method in interface weka.knowledgeflow.StepManager
-
Write a status message
- statusMessage(String) - Method in class weka.knowledgeflow.StepManagerImpl
-
Output a status message to the status area of the log
- stdDev - Variable in class weka.experiment.Stats
-
The std deviation of values at the last calculateDerived() call
- stdDevPrecTipText() - Method in class weka.experiment.ResultMatrix
-
Returns the tip text for this property.
- stdDevWidthTipText() - Method in class weka.experiment.ResultMatrix
-
Returns the tip text for this property.
- stealPoints(MiddleOutConstructor.TempNode, Vector<MiddleOutConstructor.TempNode>, Vector<double[]>) - Method in class weka.core.neighboursearch.balltrees.MiddleOutConstructor
-
Removes points from old anchors that are nearer to the given new anchor and
adds them to the list of points of the new anchor.
- stem(String) - Method in class weka.core.stemmers.IteratedLovinsStemmer
-
Iterated stemming of the given word.
- stem(String) - Method in class weka.core.stemmers.LovinsStemmer
-
Returns the stemmed version of the given word.
- stem(String) - Method in class weka.core.stemmers.NullStemmer
-
Returns the word as it is.
- stem(String) - Method in class weka.core.stemmers.SnowballStemmer
-
Returns the word in its stemmed form.
- stem(String) - Method in interface weka.core.stemmers.Stemmer
-
Stems the given word and returns the stemmed version
- Stemmer - Interface in weka.core.stemmers
-
Interface for all stemming algorithms.
- stemmerTipText() - Method in class weka.classifiers.bayes.NaiveBayesMultinomialText
-
Returns the tip text for this property.
- stemmerTipText() - Method in class weka.classifiers.functions.SGDText
-
Returns the tip text for this property.
- stemmerTipText() - Method in class weka.core.DictionaryBuilder
-
Returns the tip text for this property.
- stemmerTipText() - Method in class weka.core.stemmers.SnowballStemmer
-
Returns the tip text for this property.
- stemmerTipText() - Method in class weka.filters.unsupervised.attribute.StringToWordVector
-
Returns the tip text for this property.
- Stemming - Class in weka.core.stemmers
-
A helper class for using the stemmers.
- Stemming() - Constructor for class weka.core.stemmers.Stemming
-
- stemString(String) - Method in class weka.core.stemmers.LovinsStemmer
-
Stems everything in the given string.
- Step - Interface in weka.knowledgeflow.steps
-
Client API for Knowledge Flow steps.
- STEP_EXECUTOR_SERVICE_NUM_THREADS - Static variable in class weka.knowledgeflow.BaseExecutionEnvironment.BaseExecutionEnvironmentDefaults
-
- STEP_EXECUTOR_SERVICE_NUM_THREADS_KEY - Static variable in class weka.knowledgeflow.BaseExecutionEnvironment.BaseExecutionEnvironmentDefaults
-
- STEP_FIELD_NAME - Static variable in class weka.experiment.LearningRateResultProducer
-
The name of the key field containing the learning rate step number
- STEP_LABEL_FONT_SIZE - Static variable in class weka.knowledgeflow.KFDefaults
-
- STEP_LABEL_FONT_SIZE_KEY - Static variable in class weka.knowledgeflow.KFDefaults
-
- StepEditorDialog - Class in weka.gui.knowledgeflow
-
Base class for step editor dialogs.
- StepEditorDialog() - Constructor for class weka.gui.knowledgeflow.StepEditorDialog
-
Constructor
- StepEditorDialog.ClosingListener - Interface in weka.gui.knowledgeflow
-
Interface for those that want to be notified when this dialog closes
- stepInit() - Method in class weka.knowledgeflow.steps.AlterRelationName
-
Initialize the step
- stepInit() - Method in class weka.knowledgeflow.steps.Appender
-
Initialize the step
- stepInit() - Method in class weka.knowledgeflow.steps.ASEvaluator
-
Initialize at the start of a run
- stepInit() - Method in class weka.knowledgeflow.steps.ASSearchStrategy
-
Initialize the step
- stepInit() - Method in class weka.knowledgeflow.steps.Associator
-
Initializes the step
- stepInit() - Method in class weka.knowledgeflow.steps.BaseSimpleDataVisualizer
-
- stepInit() - Method in interface weka.knowledgeflow.steps.BaseStepExtender
-
Initialize the step.
- stepInit() - Method in class weka.knowledgeflow.steps.Block
-
Initialize the step
- stepInit() - Method in class weka.knowledgeflow.steps.BoundaryPlotter
-
Initialize the step.
- stepInit() - Method in class weka.knowledgeflow.steps.ClassAssigner
-
Initialize the step prior to execution
- stepInit() - Method in class weka.knowledgeflow.steps.Classifier
-
- stepInit() - Method in class weka.knowledgeflow.steps.ClassifierPerformanceEvaluator
-
- stepInit() - Method in class weka.knowledgeflow.steps.ClassValuePicker
-
Initialize the step.
- stepInit() - Method in class weka.knowledgeflow.steps.Clusterer
-
Initialize the step
- stepInit() - Method in class weka.knowledgeflow.steps.ClustererPerformanceEvaluator
-
Initialize the step.
- stepInit() - Method in class weka.knowledgeflow.steps.CrossValidationFoldMaker
-
Initialize the step.
- stepInit() - Method in class weka.knowledgeflow.steps.DataGenerator
-
Initialize the step.
- stepInit() - Method in class weka.knowledgeflow.steps.DataGrid
-
Initialize the step;
- stepInit() - Method in class weka.knowledgeflow.steps.DataVisualizer
-
- stepInit() - Method in class weka.knowledgeflow.steps.Dummy
-
Initialize the step.
- stepInit() - Method in class weka.knowledgeflow.steps.ExecuteProcess
-
Initialize the step
- stepInit() - Method in class weka.knowledgeflow.steps.Filter
-
Initialize the step.
- stepInit() - Method in class weka.knowledgeflow.steps.FlowByExpression
-
Initialize the step.
- stepInit() - Method in class weka.knowledgeflow.steps.GetDataFromResult
-
- stepInit() - Method in class weka.knowledgeflow.steps.ImageSaver
-
Initialize the step.
- stepInit() - Method in class weka.knowledgeflow.steps.ImageViewer
-
Initialize the step.
- stepInit() - Method in class weka.knowledgeflow.steps.IncrementalClassifierEvaluator
-
Initialize the step.
- stepInit() - Method in class weka.knowledgeflow.steps.InstanceStreamToBatchMaker
-
Initialize the step.
- stepInit() - Method in class weka.knowledgeflow.steps.Job
-
- stepInit() - Method in class weka.knowledgeflow.steps.Join
-
Initialize the step
- stepInit() - Method in class weka.knowledgeflow.steps.Loader
-
Initialize the step.
- stepInit() - Method in class weka.knowledgeflow.steps.MakeResourceIntensive
-
Initialize the step
- stepInit() - Method in class weka.knowledgeflow.steps.MemoryBasedDataSource
-
Initialize the step
- stepInit() - Method in class weka.knowledgeflow.steps.ModelPerformanceChart
-
Initialize the step
- stepInit() - Method in class weka.knowledgeflow.steps.Note
-
Initialize - does nothing in the case of a note :-)
- stepInit() - Method in class weka.knowledgeflow.steps.PredictionAppender
-
Initialize the step
- stepInit() - Method in class weka.knowledgeflow.steps.Saver
-
Initialize the step
- stepInit() - Method in class weka.knowledgeflow.steps.SendToPerspective
-
- stepInit() - Method in class weka.knowledgeflow.steps.SerializedModelSaver
-
Initialize the step
- stepInit() - Method in class weka.knowledgeflow.steps.SetPropertiesFromEnvironment
-
Initialize the step.
- stepInit() - Method in class weka.knowledgeflow.steps.SetVariables
-
Initialize the step.
- stepInit() - Method in class weka.knowledgeflow.steps.Sorter
-
Initialize the step.
- stepInit() - Method in interface weka.knowledgeflow.steps.Step
-
Initialize the step.
- stepInit() - Method in class weka.knowledgeflow.steps.StorePropertiesInEnvironment
-
- stepInit() - Method in class weka.knowledgeflow.steps.StripChart
-
- stepInit() - Method in class weka.knowledgeflow.steps.SubstringLabeler
-
Initialize the step
- stepInit() - Method in class weka.knowledgeflow.steps.SubstringReplacer
-
Initialize the step
- stepInit() - Method in class weka.knowledgeflow.steps.TestSetMaker
-
Initialize the step
- stepInit() - Method in class weka.knowledgeflow.steps.TextSaver
-
Initialize the step
- stepInit() - Method in class weka.knowledgeflow.steps.TextViewer
-
Initialize the step
- stepInit() - Method in class weka.knowledgeflow.steps.TrainingSetMaker
-
Initialize the step
- stepInit() - Method in class weka.knowledgeflow.steps.TrainTestSplitMaker
-
Initialize the step
- stepInit() - Method in class weka.knowledgeflow.steps.WriteDataToResult
-
- stepInit() - Method in class weka.knowledgeflow.steps.WriteWekaLog
-
Initialize the step
- StepInjectorFlowRunner - Class in weka.knowledgeflow
-
A flow runner that runs a flow by injecting data into a target step
- StepInjectorFlowRunner() - Constructor for class weka.knowledgeflow.StepInjectorFlowRunner
-
- StepInteractiveViewer - Interface in weka.gui.knowledgeflow
-
Interface for GUI interactive viewer components that can be popped up from
the contextual menu in the Knowledge Flow that appears when you right-click
over a step on the layout.
- stepIsResourceIntensive() - Method in interface weka.knowledgeflow.StepManager
-
Returns true if the step managed by this step manager has been marked as
being resource (cpu/memory) intensive.
- stepIsResourceIntensive() - Method in class weka.knowledgeflow.StepManagerImpl
-
Get whether the managed step is resource (cpu/memory) intensive or not
- StepManager - Interface in weka.knowledgeflow
-
Client public interface for the StepManager.
- StepManagerImpl - Class in weka.knowledgeflow
-
Concrete implementation of the StepManager interface.
- StepManagerImpl(Step) - Constructor for class weka.knowledgeflow.StepManagerImpl
-
Constructor
- stepMustRunSingleThreaded() - Method in class weka.knowledgeflow.steps.BaseStep
-
Get whether this step must run single threaded.
- StepOutputListener - Interface in weka.knowledgeflow
-
Inteface to something that listens to the output from a Step
- STEPS - Static variable in class weka.knowledgeflow.JSONFlowUtils
-
- stepSizeTipText() - Method in class weka.classifiers.meta.IterativeClassifierOptimizer
-
Returns the tip text for this property
- stepSizeTipText() - Method in class weka.experiment.LearningRateResultProducer
-
Returns the tip text for this property
- stepStatusMessagePrefix() - Method in class weka.knowledgeflow.StepManagerImpl
-
Gets a prefix for the step managed by this manager.
- StepTask<T> - Class in weka.knowledgeflow
-
A task that can be executed by the ExecutionEnvironment's submitTask()
service.
- StepTask(Step) - Constructor for class weka.knowledgeflow.StepTask
-
Constructor.
- StepTask(Step, boolean) - Constructor for class weka.knowledgeflow.StepTask
-
Constructor.
- StepTask(Step, StepTaskCallback<T>) - Constructor for class weka.knowledgeflow.StepTask
-
Constructor with supplied callback.
- StepTask(Step, StepTaskCallback<T>, boolean) - Constructor for class weka.knowledgeflow.StepTask
-
Constructor with supplied callback.
- StepTaskCallback<T> - Interface in weka.knowledgeflow
-
Callback that Steps can use when executing StepTasks via
EnvironmentManager.submitTask().
- StepTree - Class in weka.gui.knowledgeflow
-
Subclass of JTree for displaying available steps.
- StepTree(MainKFPerspective) - Constructor for class weka.gui.knowledgeflow.StepTree
-
Constructor
- StepTreeIgnore - Annotation Type in weka.gui.knowledgeflow
-
Marker annotation.
- StepTreeLeafDetails - Class in weka.gui.knowledgeflow
-
Maintains information about a step in the StepTree
- e.g.
- StepTreeLeafDetails(Object) - Constructor for class weka.gui.knowledgeflow.StepTreeLeafDetails
-
Constructor
- StepTreeLeafDetails(Object, boolean) - Constructor for class weka.gui.knowledgeflow.StepTreeLeafDetails
-
Constructor
- StepVisual - Class in weka.gui.knowledgeflow
-
Class for managing the appearance of a step in the GUI Knowledge Flow
environment.
- stirlingFormula(double) - Static method in class weka.core.Statistics
-
Returns the Gamma function computed by Stirling's formula.
- stop() - Method in class weka.core.Debug.Clock
-
saves the current system (or CPU time) in msec as stop time
- STOP - Static variable in class weka.core.Trie.TrieNode
-
the stop character
- stop() - Method in class weka.gui.beans.AbstractDataSink
-
Stop any processing that the bean might be doing.
- stop() - Method in class weka.gui.beans.AbstractEvaluator
-
Stop any processing that the bean might be doing.
- stop() - Method in class weka.gui.beans.AbstractTestSetProducer
-
Stop any processing that the bean might be doing.
- stop() - Method in class weka.gui.beans.AbstractTrainAndTestSetProducer
-
Stop any processing that the bean might be doing.
- stop() - Method in class weka.gui.beans.AbstractTrainingSetProducer
-
Stop any processing that the bean might be doing.
- stop() - Method in class weka.gui.beans.Appender
-
Stop any processing that the bean might be doing.
- stop() - Method in class weka.gui.beans.Associator
-
Stop any associator action
- stop() - Method in interface weka.gui.beans.BeanCommon
-
Stop any processing that the bean might be doing.
- stop() - Method in class weka.gui.beans.ClassAssigner
-
- stop() - Method in class weka.gui.beans.Classifier
-
Stop any classifier action
- stop() - Method in class weka.gui.beans.ClassifierPerformanceEvaluator
-
Try and stop any action
- stop() - Method in class weka.gui.beans.ClassValuePicker
-
- stop() - Method in class weka.gui.beans.Clusterer
-
Stop any clusterer action
- stop() - Method in class weka.gui.beans.ClustererPerformanceEvaluator
-
Try and stop any action
- stop() - Method in class weka.gui.beans.CostBenefitAnalysis
-
Stop any processing that the bean might be doing.
- stop() - Method in class weka.gui.beans.CrossValidationFoldMaker
-
Stop any action
- stop() - Method in class weka.gui.beans.DataVisualizer
-
Stop any processing that the bean might be doing.
- stop() - Method in class weka.gui.beans.Filter
-
Stop all action if possible
- stop() - Method in class weka.gui.beans.FlowByExpression
-
- stop() - Method in class weka.gui.beans.ImageSaver
-
- stop() - Method in class weka.gui.beans.ImageViewer
-
- stop() - Method in class weka.gui.beans.IncrementalClassifierEvaluator
-
Stop all action
- stop() - Method in class weka.gui.beans.InstanceStreamToBatchMaker
-
Stop any action (if possible).
- stop() - Method in class weka.gui.beans.Join
-
Attempt to stop processing
- stop() - Method in class weka.gui.beans.Loader
-
Stop any loading action.
- stop() - Method in class weka.gui.beans.MetaBean
-
Stop all encapsulated beans
- stop() - Method in class weka.gui.beans.ModelPerformanceChart
-
Stop any processing that the bean might be doing.
- stop() - Method in class weka.gui.beans.PredictionAppender
-
- stop() - Method in class weka.gui.beans.Saver
-
Stops the bean
- stop() - Method in class weka.gui.beans.SerializedModelSaver
-
Stop any processing that the bean might be doing.
- stop() - Method in class weka.gui.beans.Sorter
-
Stop any processing that the bean might be doing.
- stop() - Method in class weka.gui.beans.StripChart
-
Stop any processing that the bean might be doing.
- stop() - Method in class weka.gui.beans.SubstringLabeler
-
Stop any processing that the bean might be doing.
- stop() - Method in class weka.gui.beans.SubstringReplacer
-
Stop any processing that the bean might be doing.
- stop() - Method in class weka.gui.beans.TestSetMaker
-
- stop() - Method in class weka.gui.beans.TextSaver
-
- stop() - Method in class weka.gui.beans.TextViewer
-
Stop any processing that the bean might be doing.
- stop() - Method in class weka.gui.beans.TrainingSetMaker
-
Stop any action
- stop() - Method in class weka.gui.beans.TrainTestSplitMaker
-
Stop processing
- stop() - Method in class weka.gui.scripting.Script
-
Stops the execution of the script.
- stop() - Method in class weka.knowledgeflow.steps.BaseStep
-
Request that processing be stopped.
- stop() - Method in class weka.knowledgeflow.steps.ClassifierPerformanceEvaluator
-
- stop() - Method in interface weka.knowledgeflow.steps.Step
-
Request a stop to all processing by this step (as soon as possible)
- stopAllFlows() - Method in class weka.gui.beans.FlowRunner
-
- stopClock(String) - Method in class weka.core.Debug
-
stops the clock and prints the message associated with the time, but only
if the logging is enabled.
- stopFlow() - Method in class weka.gui.knowledgeflow.VisibleLayout
-
Stop the flow from executing
- stopMonitoring() - Method in class weka.gui.MemoryUsagePanel
-
stops the monitoring thread.
- stopPlotting() - Method in class weka.gui.boundaryvisualizer.BoundaryPanel
-
Stop the plotting thread
- stopPlotting() - Method in class weka.gui.boundaryvisualizer.BoundaryVisualizer
-
Stops the plotting thread.
- stopProcessing() - Method in class weka.knowledgeflow.BaseExecutionEnvironment
-
The main point at which to request stop processing of a flow.
- stopProcessing() - Method in interface weka.knowledgeflow.ExecutionEnvironment
-
Step/StepManager can use this to request a stop to all processing
- stopProcessing() - Method in interface weka.knowledgeflow.FlowExecutor
-
Stop all processing
- stopProcessing() - Method in class weka.knowledgeflow.FlowRunner
-
Attempt to stop processing in all steps
- stopScript() - Method in class weka.gui.scripting.Script.ScriptThread
-
Stops the script execution.
- stopThread() - Method in class weka.gui.SimpleCLIPanel
-
Stops the currently running thread, if any.
- stopThreads() - Method in class weka.core.Memory
-
stops all the current threads, to make a restart possible
- Stopwords - Class in weka.core
-
Class that can test whether a given string is a stop word.
- Stopwords() - Constructor for class weka.core.Stopwords
-
initializes the stopwords (based on
Rainbow).
- StopwordsHandler - Interface in weka.core.stopwords
-
Interface for classes that support stopword handling.
- stopwordsHandlerTipText() - Method in class weka.classifiers.bayes.NaiveBayesMultinomialText
-
Returns the tip text for this property.
- stopwordsHandlerTipText() - Method in class weka.classifiers.functions.SGDText
-
Returns the tip text for this property.
- stopwordsHandlerTipText() - Method in class weka.core.DictionaryBuilder
-
Returns the tip text for this property.
- stopwordsHandlerTipText() - Method in class weka.filters.unsupervised.attribute.StringToWordVector
-
Returns the tip text for this property.
- stopwordsTipText() - Method in class weka.core.stopwords.AbstractFileBasedStopwords
-
Returns the tip text for this property.
- stopwordsTipText() - Method in class weka.core.stopwords.MultiStopwords
-
Returns the tip text for this property.
- stopwordsTipText() - Method in class weka.core.stopwords.RegExpFromFile
-
Returns the tip text for this property.
- stopwordsTipText() - Method in class weka.core.stopwords.WordsFromFile
-
Returns the tip text for this property.
- store(double, double, double) - Method in class weka.classifiers.lazy.kstar.KStarCache
-
Stores the specified values in the cahce table for easy retrieval.
- storeEntry(String, String, Object) - Method in interface weka.core.metastore.MetaStore
-
Store a named entry
- storeEntry(String, String, Object) - Method in class weka.core.metastore.XMLFileBasedMetaStore
-
- storeOutOfBagPredictionsTipText() - Method in class weka.classifiers.meta.Bagging
-
Returns the tip text for this property
- StorePropertiesInEnvironment - Class in weka.knowledgeflow.steps
-
Stores property values specified in incoming instances in the flow
environment.
- StorePropertiesInEnvironment() - Constructor for class weka.knowledgeflow.steps.StorePropertiesInEnvironment
-
- StorePropertiesInEnvironmentStepEditorDialog - Class in weka.gui.knowledgeflow.steps
-
Editor dialog for the StorePropertiesInEnvironment step.
- StorePropertiesInEnvironmentStepEditorDialog() - Constructor for class weka.gui.knowledgeflow.steps.StorePropertiesInEnvironmentStepEditorDialog
-
- StratifiedRemoveFolds - Class in weka.filters.supervised.instance
-
This filter takes a dataset and outputs a specified
fold for cross validation.
- StratifiedRemoveFolds() - Constructor for class weka.filters.supervised.instance.StratifiedRemoveFolds
-
- stratify(Instances, int, Random) - Static method in class weka.classifiers.rules.RuleStats
-
Stratify the given data into the given number of bags based on the class
values.
- stratify(int) - Method in class weka.core.Instances
-
Stratifies a set of instances according to its class values if the class
attribute is nominal (so that afterwards a stratified cross-validation can
be performed).
- StreamableFilter - Interface in weka.filters
-
Interface for filters can work with a stream of instances.
- StreamThroughput - Class in weka.gui.beans
-
Class for measuring throughput of an incremental Knowledge Flow step.
- StreamThroughput(String) - Constructor for class weka.gui.beans.StreamThroughput
-
Construct a new StreamThroughput
- StreamThroughput(String, String, Logger) - Constructor for class weka.gui.beans.StreamThroughput
-
Construct a new StreamThroughput
- StreamTokenizerUtils - Class in weka.core.converters
-
Helper class for using stream tokenizers
- StreamTokenizerUtils() - Constructor for class weka.core.converters.StreamTokenizerUtils
-
- STRING - Static variable in class weka.core.Attribute
-
Constant set for attributes with string values.
- STRING - Static variable in interface weka.core.expressionlanguage.parser.sym
-
- STRING - Static variable in class weka.core.json.Scanner
-
- STRING - Static variable in interface weka.core.json.sym
-
- STRING - Static variable in class weka.experiment.DatabaseUtils
-
Type mapping for STRING used for reading experiment results.
- STRING1 - Static variable in class weka.core.expressionlanguage.parser.Scanner
-
- STRING2 - Static variable in class weka.core.expressionlanguage.parser.Scanner
-
- stringAttributesTipText() - Method in class weka.core.converters.CSVLoader
-
Returns the tip text for this property.
- StringCompare() - Constructor for class weka.core.ClassDiscovery.StringCompare
-
- StringConstant(String) - Constructor for class weka.core.expressionlanguage.common.Primitives.StringConstant
-
- stringFreeStructure() - Method in class weka.core.Instances
-
Create a copy of the structure.
- StringKernel - Class in weka.classifiers.functions.supportVector
-
Implementation of the subsequence kernel (SSK) as
described in [1] and of the subsequence kernel with lambda pruning (SSK-LP)
as described in [2].
For more information, see
Huma Lodhi, Craig Saunders, John Shawe-Taylor, Nello Cristianini, Christopher
J.
- StringKernel() - Constructor for class weka.classifiers.functions.supportVector.StringKernel
-
default constructor
- StringKernel(Instances, int, int, double, boolean) - Constructor for class weka.classifiers.functions.supportVector.StringKernel
-
creates a new StringKernel object.
- StringLocator - Class in weka.core
-
This class locates and records the indices of String attributes, recursively
in case of Relational attributes.
- StringLocator(Instances) - Constructor for class weka.core.StringLocator
-
initializes the StringLocator with the given data
- StringLocator(Instances, int, int) - Constructor for class weka.core.StringLocator
-
Initializes the StringLocator with the given data.
- StringLocator(Instances, int[]) - Constructor for class weka.core.StringLocator
-
Initializes the AttributeLocator with the given data.
- stringSize(FontMetrics) - Method in class weka.gui.treevisualizer.Edge
-
This will calculate how large a rectangle using the FontMetrics
passed that the lines of the label will take up
- stringSize(FontMetrics) - Method in class weka.gui.treevisualizer.Node
-
This will return the width and height of the rectangle that the text will
fit into.
- stringToLevel(String) - Static method in class weka.core.Debug.Log
-
turns the string representing a level, e.g., "FINE" or "ALL" into
the corresponding level (case-insensitive).
- stringToLevel(String) - Static method in class weka.core.Debug
-
turns the string representing a level, e.g., "FINE" or "ALL" into
the corresponding level (case-insensitive).
- stringToLevel(String) - Static method in enum weka.knowledgeflow.LoggingLevel
-
Return LoggingLevel given its name as a string
- StringToNominal - Class in weka.filters.unsupervised.attribute
-
Converts a range of string attributes (unspecified
number of values) to nominal (set number of values).
- StringToNominal() - Constructor for class weka.filters.unsupervised.attribute.StringToNominal
-
- StringToWordVector - Class in weka.filters.unsupervised.attribute
-
Converts string attributes into a set of numeric attributes representing word occurrence
information from the text contained in the strings.
- StringToWordVector() - Constructor for class weka.filters.unsupervised.attribute.StringToWordVector
-
Default constructor.
- StringToWordVector(int) - Constructor for class weka.filters.unsupervised.attribute.StringToWordVector
-
Constructor that allows specification of the target number of words in the
output.
- stringValue(int) - Method in class weka.core.AbstractInstance
-
Returns the value of a nominal, string, date, or relational attribute for
the instance as a string.
- stringValue(Attribute) - Method in class weka.core.AbstractInstance
-
Returns the value of a nominal, string, date, or relational attribute for
the instance as a string.
- stringValue(int) - Method in interface weka.core.Instance
-
Returns the value of a nominal, string, date, or relational attribute for
the instance as a string.
- stringValue(Attribute) - Method in interface weka.core.Instance
-
Returns the value of a nominal, string, date, or relational attribute for
the instance as a string.
- StringVariable(String) - Constructor for class weka.core.expressionlanguage.common.Primitives.StringVariable
-
- StripChart - Class in weka.gui.beans
-
Bean that can display a horizontally scrolling strip chart.
- StripChart() - Constructor for class weka.gui.beans.StripChart
-
- StripChart - Class in weka.knowledgeflow.steps
-
A step that can display a viewer showing a right-to-left scrolling chart
for streaming data
- StripChart() - Constructor for class weka.knowledgeflow.steps.StripChart
-
- StripChart.PlotNotificationListener - Interface in weka.knowledgeflow.steps
-
StripChartInteractiveView implements this in order to receive data points.
- StripChartBeanInfo - Class in weka.gui.beans
-
Bean info class for the strip chart bean
- StripChartBeanInfo() - Constructor for class weka.gui.beans.StripChartBeanInfo
-
- StripChartCustomizer - Class in weka.gui.beans
-
GUI Customizer for the strip chart bean
- StripChartCustomizer() - Constructor for class weka.gui.beans.StripChartCustomizer
-
- StripChartInteractiveView - Class in weka.gui.knowledgeflow.steps
-
Implements the actual strip chart view
- StripChartInteractiveView() - Constructor for class weka.gui.knowledgeflow.steps.StripChartInteractiveView
-
- StructureNotReadyException(String) - Constructor for exception weka.core.converters.Loader.StructureNotReadyException
-
- StructureProducer - Interface in weka.gui.beans
-
Interface for something that can describe the structure of what
is encapsulated in a named event type as an empty set of
Instances (i.e.
- STYLE_STDERR - Static variable in class weka.gui.LogWindow
-
the name of the style for stderr
- STYLE_STDOUT - Static variable in class weka.gui.LogWindow
-
the name of the style for stdout
- sub(int, Instance) - Method in class weka.classifiers.trees.j48.Distribution
-
Subtracts given instance from given bag.
- subFlowContains(BeanInstance) - Method in class weka.gui.beans.MetaBean
-
- subList(int, int) - Method in class weka.core.neighboursearch.covertrees.Stack
-
Returns a sublist of the elements in the stack.
- submitTask(StepTask<T>) - Method in class weka.knowledgeflow.BaseExecutionEnvironment
-
Submit a task to be run by the execution environment.
- submitTask(StepTask<T>) - Method in interface weka.knowledgeflow.ExecutionEnvironment
-
Submit a task to be run by the execution environment.
- subpath(int) - Method in class weka.core.PropertyPath.Path
-
returns a subpath of the current structure, starting with the specified
element index up to the end
- subpath(int, int) - Method in class weka.core.PropertyPath.Path
-
returns a subpath of the current structure, starting with the specified
element index up.
- subsequenceLengthTipText() - Method in class weka.classifiers.functions.supportVector.StringKernel
-
Returns the tip text for this property
- SubsetByExpression - Class in weka.filters.unsupervised.instance
-
Filters instances according to a user-specified expression.
Examples:
- extracting only mammals and birds from the 'zoo' UCI dataset:
(CLASS is 'mammal') or (CLASS is 'bird')
- extracting only animals with at least 2 legs from the 'zoo' UCI dataset:
(ATT14 >= 2)
- extracting only instances with non-missing 'wage-increase-second-year'
from the 'labor' UCI dataset:
not ismissing(ATT3)
Valid options are:
- SubsetByExpression() - Constructor for class weka.filters.unsupervised.instance.SubsetByExpression
-
- subsetDL(double, double, double) - Static method in class weka.classifiers.rules.RuleStats
-
Subset description length:
S(t,k,p) = -k*log2(p)-(n-k)log2(1-p)
Details see Quilan: "MDL and categorical theories (Continued)",ML95
- SubsetEvaluator - Interface in weka.attributeSelection
-
Interface for attribute subset evaluators.
- SubspaceCluster - Class in weka.datagenerators.clusterers
-
A data generator that produces data points in
hyperrectangular subspace clusters.
- SubspaceCluster() - Constructor for class weka.datagenerators.clusterers.SubspaceCluster
-
initializes the generator, sets the number of clusters to 0, since user has
to specify them explicitly
- SubspaceClusterDefinition - Class in weka.datagenerators.clusterers
-
A single cluster for the SubspaceCluster data generator.
- SubspaceClusterDefinition() - Constructor for class weka.datagenerators.clusterers.SubspaceClusterDefinition
-
Needed so that this class can be found as permissible.
- SubspaceClusterDefinition(ClusterGenerator) - Constructor for class weka.datagenerators.clusterers.SubspaceClusterDefinition
-
initializes the cluster with default values
- subSpaceSizeTipText() - Method in class weka.classifiers.meta.RandomSubSpace
-
Returns the tip text for this property
- substitute(String) - Method in class weka.core.Environment
-
Substitute a variable names for their values in the given string.
- substract(AlgVector) - Method in class weka.core.AlgVector
-
Returns the difference of this vector minus another.
- SubstringLabeler - Class in weka.gui.beans
-
A bean that finds matches in string attribute values (using either substring
or regular expression matches) and labels the instance (sets the value of a
new attribute) according to the supplied label for the matching rule.
- SubstringLabeler() - Constructor for class weka.gui.beans.SubstringLabeler
-
Constructor
- SubstringLabeler - Class in weka.knowledgeflow.steps
-
Step that appends a label to incoming instances according to substring
matches in string attributes.
- SubstringLabeler() - Constructor for class weka.knowledgeflow.steps.SubstringLabeler
-
- SubstringLabelerBeanInfo - Class in weka.gui.beans
-
Bean info class for the substring labeler bean
- SubstringLabelerBeanInfo() - Constructor for class weka.gui.beans.SubstringLabelerBeanInfo
-
- SubstringLabelerCustomizer - Class in weka.gui.beans
-
Customizer class for the Substring labeler step
- SubstringLabelerCustomizer() - Constructor for class weka.gui.beans.SubstringLabelerCustomizer
-
- SubstringLabelerMatchRule() - Constructor for class weka.gui.beans.SubstringLabelerRules.SubstringLabelerMatchRule
-
Constructor
- SubstringLabelerMatchRule(String) - Constructor for class weka.gui.beans.SubstringLabelerRules.SubstringLabelerMatchRule
-
Constructor
- SubstringLabelerMatchRule(String, boolean, boolean, String) - Constructor for class weka.gui.beans.SubstringLabelerRules.SubstringLabelerMatchRule
-
Constructor
- SubstringLabelerRules - Class in weka.gui.beans
-
Manages a list of match rules for labeling strings.
- SubstringLabelerRules(String, String, boolean, boolean, Instances, String, Logger, Environment) - Constructor for class weka.gui.beans.SubstringLabelerRules
-
Constructor
- SubstringLabelerRules(String, String, Instances) - Constructor for class weka.gui.beans.SubstringLabelerRules
-
Constructor.
- SubstringLabelerRules.SubstringLabelerMatchRule - Class in weka.gui.beans
-
Inner class encapsulating the logic for matching
- SubstringLabelerStepEditorDialog - Class in weka.gui.knowledgeflow.steps
-
Step editor dialog for the SubstringLabeler step
- SubstringLabelerStepEditorDialog() - Constructor for class weka.gui.knowledgeflow.steps.SubstringLabelerStepEditorDialog
-
- SubstringReplacer - Class in weka.gui.beans
-
A bean that can replace substrings in the values of string attributes.
- SubstringReplacer() - Constructor for class weka.gui.beans.SubstringReplacer
-
Constructs a new SubstringReplacer
- SubstringReplacer - Class in weka.knowledgeflow.steps
-
A step that can replace sub-strings in the values of string attributes.
- SubstringReplacer() - Constructor for class weka.knowledgeflow.steps.SubstringReplacer
-
- SubstringReplacerBeanInfo - Class in weka.gui.beans
-
Bean info class for the substring replacer
- SubstringReplacerBeanInfo() - Constructor for class weka.gui.beans.SubstringReplacerBeanInfo
-
- SubstringReplacerCustomizer - Class in weka.gui.beans
-
Customizer for the SubstringReplacer
- SubstringReplacerCustomizer() - Constructor for class weka.gui.beans.SubstringReplacerCustomizer
-
Constructor
- SubstringReplacerMatchRule() - Constructor for class weka.gui.beans.SubstringReplacerRules.SubstringReplacerMatchRule
-
Constructor
- SubstringReplacerMatchRule(String) - Constructor for class weka.gui.beans.SubstringReplacerRules.SubstringReplacerMatchRule
-
Constructor
- SubstringReplacerMatchRule(String, String, boolean, boolean, String) - Constructor for class weka.gui.beans.SubstringReplacerRules.SubstringReplacerMatchRule
-
Constructor
- SubstringReplacerRules - Class in weka.gui.beans
-
Manages a list of match and replace rules for replacing values in string
attributes
- SubstringReplacerRules(String, Instances, String, Logger, Environment) - Constructor for class weka.gui.beans.SubstringReplacerRules
-
Constructor
- SubstringReplacerRules(String, Instances) - Constructor for class weka.gui.beans.SubstringReplacerRules
-
Constructor.
- SubstringReplacerRules.SubstringReplacerMatchRule - Class in weka.gui.beans
-
Inner class encapsulating the logic for matching and replacing.
- SubstringReplacerStepEditorDialog - Class in weka.gui.knowledgeflow.steps
-
Step editor dialog for the SubstringReplacer step
- SubstringReplacerStepEditorDialog() - Constructor for class weka.gui.knowledgeflow.steps.SubstringReplacerStepEditorDialog
-
- subtract(AprioriItemSet) - Method in class weka.associations.AprioriItemSet
-
Subtracts an item set from another one.
- subtract(Distribution) - Method in class weka.classifiers.trees.j48.Distribution
-
Subtracts the given distribution from this one.
- subtract(double[]) - Method in class weka.core.pmml.VectorInstance
-
Subtract the values in the supplied array from this vector instance
- subtract(VectorInstance) - Method in class weka.core.pmml.VectorInstance
-
Subtract the supplied VectorInstance from this one and return the
result as a new VectorInstance
- subtract(double, double) - Method in class weka.experiment.PairedStats
-
Removes an observed pair of values.
- subtract(double[], double[]) - Method in class weka.experiment.PairedStats
-
Removes an array of observed pair of values.
- subtract(double) - Method in class weka.experiment.Stats
-
Removes a value to the observed values (no checking is done
that the value being removed was actually added).
- subtract(double, double) - Method in class weka.experiment.Stats
-
Subtracts a weighted value from the observed values
- subtreeRaisingTipText() - Method in class weka.classifiers.trees.J48
-
Returns the tip text for this property
- subvector(int, int) - Method in class weka.core.matrix.DoubleVector
-
Returns a subvector.
- subvector(IntVector) - Method in class weka.core.matrix.DoubleVector
-
Returns a subvector.
- subvector(int, int) - Method in class weka.core.matrix.IntVector
-
Returns a subvector.
- subvector(IntVector) - Method in class weka.core.matrix.IntVector
-
Returns a subvector as indexed by an IntVector.
- sum(Map<String, WeightMass>) - Static method in class weka.classifiers.trees.ht.SplitMetric
-
Utility method to return the sum of instance weight in a distribution
- sum() - Method in class weka.core.matrix.DoubleVector
-
Returns the sum of all elements in the vector.
- sum(double[]) - Static method in class weka.core.Utils
-
Computes the sum of the elements of an array of doubles.
- sum(int[]) - Static method in class weka.core.Utils
-
Computes the sum of the elements of an array of integers.
- sum - Variable in class weka.experiment.Stats
-
The sum of values seen
- sum2() - Method in class weka.core.matrix.DoubleVector
-
Returns the squared sum of all elements in the vector.
- sum2(DoubleVector) - Method in class weka.core.matrix.DoubleVector
-
Returns ||u-v||^2
- Summarizable - Interface in weka.core
-
Interface to something that provides a short textual summary (as opposed
to toString() which is usually a fairly complete description) of itself.
- sumOfWeights() - Method in class weka.core.Instances
-
Computes the sum of all the instances' weights.
- sumSq - Variable in class weka.experiment.Stats
-
The sum of values squared seen
- SupervisedFilter - Interface in weka.filters
-
Interface for filters that make use of a class attribute.
- support() - Method in class weka.associations.ItemSet
-
Outputs the support for an item set.
- support() - Method in class weka.associations.LabeledItemSet
-
Outputs the support for an item set.
- supports(Capabilities) - Method in class weka.core.Capabilities
-
Returns true if the currently set capabilities support at least all of the
capabilities of the given Capabilities object (checks only the enum!)
- supportsCustomEditor() - Method in class weka.gui.beans.EnvironmentField
-
Deprecated.
- supportsCustomEditor() - Method in class weka.gui.ColorEditor
-
We use JColorChooser, so return true
- supportsCustomEditor() - Method in class weka.gui.CostMatrixEditor
-
Indicates whether the cost matrix can be edited in a GUI, which it can.
- supportsCustomEditor() - Method in class weka.gui.EnvironmentField
-
- supportsCustomEditor() - Method in class weka.gui.FileEditor
-
Returns true because we do support a custom editor.
- supportsCustomEditor() - Method in class weka.gui.GenericArrayEditor
-
Returns true because we do support a custom editor.
- supportsCustomEditor() - Method in class weka.gui.GenericObjectEditor
-
Returns true because we do support a custom editor.
- supportsCustomEditor() - Method in class weka.gui.PasswordField
-
- supportsCustomEditor() - Method in class weka.gui.SimpleDateFormatEditor
-
Indicates whether the date format can be edited in a GUI, which it can.
- supportsMaybe(Capabilities) - Method in class weka.core.Capabilities
-
Returns true if the currently set capabilities support (or have a
dependency) at least all of the capabilities of the given Capabilities
object (checks only the enum!)
- SupportVector - Class in weka.core.pmml.jaxbbindings
-
Java class for SupportVector element declaration.
- SupportVector() - Constructor for class weka.core.pmml.jaxbbindings.SupportVector
-
- SupportVectorMachine - Class in weka.core.pmml.jaxbbindings
-
Java class for SupportVectorMachine element declaration.
- SupportVectorMachine() - Constructor for class weka.core.pmml.jaxbbindings.SupportVectorMachine
-
- SupportVectorMachineModel - Class in weka.classifiers.pmml.consumer
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Implements a PMML SupportVectorMachineModel
- SupportVectorMachineModel(Element, Instances, MiningSchema) - Constructor for class weka.classifiers.pmml.consumer.SupportVectorMachineModel
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Construct a new SupportVectorMachineModel encapsulating the information provided
in the PMML document.
- SupportVectorMachineModel - Class in weka.core.pmml.jaxbbindings
-
Java class for SupportVectorMachineModel element declaration.
- SupportVectorMachineModel() - Constructor for class weka.core.pmml.jaxbbindings.SupportVectorMachineModel
-
- SupportVectors - Class in weka.core.pmml.jaxbbindings
-
Java class for SupportVectors element declaration.
- SupportVectors() - Constructor for class weka.core.pmml.jaxbbindings.SupportVectors
-
- SUPPRESS_PROPERTY_WARNINGS - Static variable in class weka.core.xml.XMLSerialization
-
List of fully qualified property names to suppress any warning messages for
- suppressMappingReportTipText() - Method in class weka.classifiers.misc.InputMappedClassifier
-
Returns the tip text for this property
- suppressOutputTipText() - Method in class weka.classifiers.evaluation.output.prediction.AbstractOutput
-
Returns the tip text for this property.
- svd() - Method in class weka.core.matrix.Matrix
-
Singular Value Decomposition
- SVMCLASSIFICATIONMETHOD - Enum in weka.core.pmml.jaxbbindings
-
Java class for SVM-CLASSIFICATION-METHOD.
- SVMLightLoader - Class in weka.core.converters
-
Reads a source that is in svm light format.
For more information about svm light see:
http://svmlight.joachims.org/
- SVMLightLoader() - Constructor for class weka.core.converters.SVMLightLoader
-
- SVMLightSaver - Class in weka.core.converters
-
Writes to a destination that is in svm light
format.
For more information about svm light see:
http://svmlight.joachims.org/
Valid options are:
- SVMLightSaver() - Constructor for class weka.core.converters.SVMLightSaver
-
Constructor.
- SVMOutput(int, Instance) - Method in class weka.classifiers.functions.SMO.BinarySMO
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Computes SVM output for given instance.
- SVMOutput(Instance) - Method in class weka.classifiers.functions.supportVector.RegOptimizer
-
- SVMREPRESENTATION - Enum in weka.core.pmml.jaxbbindings
-
Java class for SVM-REPRESENTATION.
- swap(int, int) - Method in class weka.core.FastVector
-
Deprecated.
Swaps two elements in the vector.
- swap(int, int) - Method in class weka.core.Instances
-
Swaps two instances in the set.
- swap(int, int) - Method in class weka.core.matrix.DoubleVector
-
Swaps the values stored at i and j
- swap(int, int) - Method in class weka.core.matrix.IntVector
-
Swaps the values stored at i and j
- SwapValues - Class in weka.filters.unsupervised.attribute
-
Swaps two values of a nominal attribute.
- SwapValues() - Constructor for class weka.filters.unsupervised.attribute.SwapValues
-
- switchSetup() - Method in class weka.gui.sql.ConnectionPanel
-
Lets the user select a props file for changing the database connection
parameters.
- switchTo(AbstractSetupPanel, Experiment) - Method in class weka.gui.experiment.SetupModePanel
-
Switches to the specified panel.
- switchToAdvanced(Experiment) - Method in class weka.gui.experiment.SetupModePanel
-
Switches to the advanced panel.
- sym - Interface in weka.core.expressionlanguage.parser
-
CUP generated interface containing symbol constants.
- sym - Interface in weka.core.json
-
CUP generated interface containing symbol constants.
- symmetricalUncertainty(double[][]) - Static method in class weka.core.ContingencyTables
-
Calculates the symmetrical uncertainty for base 2.
- SymmetricalUncertAttributeEval - Class in weka.attributeSelection
-
SymmetricalUncertAttributeEval :
Evaluates the worth of an attribute by measuring the symmetrical uncertainty
with respect to the class.
- SymmetricalUncertAttributeEval() - Constructor for class weka.attributeSelection.SymmetricalUncertAttributeEval
-
Constructor
- Sync(BayesNet) - Method in class weka.classifiers.bayes.net.BIFReader
-
synchronizes the node ordering of this Bayes network with those in the
other network (if possible).
- synopsis() - Method in class weka.core.Option
-
Returns the option's synopsis.
- SyntaxDocument - Class in weka.gui.scripting
-
Highlights syntax in a DefaultStyledDocument.
- SyntaxDocument(Properties) - Constructor for class weka.gui.scripting.SyntaxDocument
-
Initializes the document.
- SyntaxDocument.ATTR_TYPE - Enum in weka.gui.scripting
-
The attribute type.
- SyntaxException - Exception in weka.core.expressionlanguage.core
-
An exception to represent an invalid syntax of a program
- SyntaxException(String) - Constructor for exception weka.core.expressionlanguage.core.SyntaxException
-
- SysErrLog - Class in weka.gui
-
This Logger just sends messages to System.err.
- SysErrLog() - Constructor for class weka.gui.SysErrLog
-
- SystemInfo - Class in weka.core
-
This class prints some information about the system setup, like Java version,
JVM settings etc.
- SystemInfo() - Constructor for class weka.core.SystemInfo
-
initializes the object and reads the system information