Index

A B C D E F G H I L M N P R S T U V W X

A

actionPerformed(ActionEvent) - Method in class weka.gui.ensembleLibraryEditor.AddModelsPanel: This will support the button triggered events for this panel.
actionPerformed(ActionEvent) - Method in class weka.gui.ensembleLibraryEditor.DefaultModelsPanel: Deals with user input to the various buttons in this GUI
actionPerformed(ActionEvent) - Method in class weka.gui.ensembleLibraryEditor.ListModelsPanel: This handles all of the button events.
actionPerformed(ActionEvent) - Method in class weka.gui.ensembleLibraryEditor.LoadModelsPanel: This will support the button triggered events for this panel.
actionPerformed(ActionEvent) - Method in class weka.gui.ensembleLibraryEditor.tree.GenericObjectNodeEditor: This implements the action listener for the buttons in this editor, If they hit the choose class button then the popup menu for choosing the generic object ype is created.
actionPerformed(ActionEvent) - Method in class weka.gui.ensembleLibraryEditor.tree.ModelTreeNodeEditor: The item Listener that gets registered with all node editors that have a widget that had actionPerformed events.
actionPerformed(ActionEvent) - Method in class weka.gui.ensembleLibraryEditor.tree.NumberNodeEditor: This is the actionListener that while handle events from the JButton that specifies the type of iterator.
add(Object) - Method in class weka.gui.ensembleLibraryEditor.ModelList.SortedListModel
addAll(Object[]) - Method in class weka.gui.ensembleLibraryEditor.ModelList.SortedListModel
addEditorNodes(String, String) - Method in class weka.gui.ensembleLibraryEditor.tree.PropertyNode: This method figures out what kind of parameter type this node represents and then creates the appropriate set of child nodes for editing.
addModel(EnsembleLibraryModel) - Method in class weka.classifiers.EnsembleLibrary: adds a LibraryModel to the Library
addModel(String) - Method in class weka.classifiers.EnsembleLibrary: adds a LibraryModel to the Library
addModel(EnsembleLibraryModel) - Method in class weka.gui.ensembleLibraryEditor.ListModelsPanel: Adds a model to the current library
AddModelsPanel - Class in weka.gui.ensembleLibraryEditor: The purpose of this class is to create a user interface that will provide an intuitive method of building "playlists" of weka classifiers to be trained.
AddModelsPanel(ListModelsPanel) - Constructor for class weka.gui.ensembleLibraryEditor.AddModelsPanel: This constructor simply stores the reference to the ListModelsPanel and builf the user interface.
addNumbers(Number, Number) - Method in class weka.gui.ensembleLibraryEditor.tree.NumberNode: adds two objects that are instances of one of the child classes of java.lang.Number
addPropertyChangeListener(PropertyChangeListener) - Method in class weka.classifiers.EnsembleLibrary: Adds an object to the list of those that wish to be informed when the library changes.
addPropertyChangeListener(PropertyChangeListener) - Method in class weka.gui.EnsembleLibraryEditor: Adds an object to the list of those that wish to be informed when the library changes.
addWorkingDirectoryListener(PropertyChangeListener) - Method in class weka.classifiers.meta.ensembleSelection.EnsembleSelectionLibrary: Adds an object to the list of those that wish to be informed when the eotking directory changes.
ALGORITHM_BACKWARD - Static variable in class weka.classifiers.meta.EnsembleSelection
ALGORITHM_BEST - Static variable in class weka.classifiers.meta.EnsembleSelection
ALGORITHM_BUILD_LIBRARY - Static variable in class weka.classifiers.meta.EnsembleSelection
ALGORITHM_FORWARD - Static variable in class weka.classifiers.meta.EnsembleSelection: The "enumeration" of the algorithms we can use.
ALGORITHM_FORWARD_BACKWARD - Static variable in class weka.classifiers.meta.EnsembleSelection
algorithmTipText() - Method in class weka.classifiers.meta.EnsembleSelection: Returns the tip text for this property
applyFileSizeFilters() - Method in class weka.gui.ensembleLibraryEditor.DefaultModelsPanel: Removes models from the list that fit the regular expressions defining models that have large file sizes
applyFilters(Pattern[]) - Method in class weka.gui.ensembleLibraryEditor.DefaultModelsPanel: This is the code common to the previous three methods.
applyTestTimeFilters() - Method in class weka.gui.ensembleLibraryEditor.DefaultModelsPanel: Removes models from the list that fit the regular expressions defining models that have large test times
applyTrainTimeFilters() - Method in class weka.gui.ensembleLibraryEditor.DefaultModelsPanel: Removes models from the list that fit the regular expressions defining models that have large train times

B

backwardEliminate(Instances, int) - Method in class weka.classifiers.meta.ensembleSelection.ModelBag: Find the model whose removal will help the ensemble's performance the most, and remove it.
buildClassifier(Instances) - Method in class weka.classifiers.meta.EnsembleSelection: Buildclassifier selects a classifier from the set of classifiers by minimising error on the training data.
buildClassifierTree(Classifier) - Method in class weka.gui.ensembleLibraryEditor.AddModelsPanel: This method necessarily seperates the process of building the tree object from the rest of the GUI construction.

C

canDeselect(DefaultMutableTreeNode) - Method in class weka.gui.ensembleLibraryEditor.tree.PropertyNode: informs a requesting child node whether or not it has permission to be deselected.
canSelect(NumberNode) - Method in class weka.gui.ensembleLibraryEditor.tree.PropertyNode: This method informs a child number node whether or not it is allowed to be selected.
CheckBoxNode - Class in weka.gui.ensembleLibraryEditor.tree: This class is responsible for implementing the underlying logic of tree nodes representing a single nominal value.
CheckBoxNode(String, boolean, String) - Constructor for class weka.gui.ensembleLibraryEditor.tree.CheckBoxNode: The constructor initializes the members of this node.
CheckBoxNodeEditor - Class in weka.gui.ensembleLibraryEditor.tree: This class is responsible for creating a simple checkBox editor for the CheckBoxNode class.
CheckBoxNodeEditor(CheckBoxNode) - Constructor for class weka.gui.ensembleLibraryEditor.tree.CheckBoxNodeEditor: The constructor builds the simple CheckBox GUI based on the information in the node that is passed to it.
clear() - Method in class weka.gui.ensembleLibraryEditor.LibrarySerialization: generates internally a new XML document and clears also the IgnoreList and the mappings for the Read/Write-Methods
clear() - Method in class weka.gui.ensembleLibraryEditor.ModelList.SortedListModel
clearAll() - Method in class weka.gui.ensembleLibraryEditor.ListModelsPanel: This removes all the models from the current list in the GUI
clearModels() - Method in class weka.classifiers.EnsembleLibrary: removes all models from the current library
combineAllValues(Vector, Vector) - Method in class weka.gui.ensembleLibraryEditor.tree.GenericObjectNode: This method is responsible for returning all possible values through a recursive loop.
compare(Object, Object) - Method in class weka.classifiers.EnsembleLibraryModelComparator: Compares its two arguments for order.
contains(Object) - Method in class weka.gui.ensembleLibraryEditor.ModelList.SortedListModel
createGenericObjectRenderer(GenericObjectEditor) - Static method in class weka.gui.EnsembleLibraryEditor: This is a helper function that creates a renderer for GenericObjects
createModel(Classifier) - Method in class weka.classifiers.EnsembleLibrary: creates a LibraryModel from a string representing the command line invocation
createModel(String) - Method in class weka.classifiers.EnsembleLibrary: This method takes a String argument defining a classifier and uses it to create a base Classifier.
createModel(Classifier) - Method in class weka.classifiers.meta.ensembleSelection.EnsembleSelectionLibrary: creates a LibraryModel from a set of arguments
createModel(String) - Method in class weka.classifiers.meta.ensembleSelection.EnsembleSelectionLibrary: This method takes a String argument defining a classifier and uses it to create a base Classifier.
createModel(Instances[], Instances[], String, int) - Method in class weka.classifiers.meta.ensembleSelection.EnsembleSelectionLibraryModel: Creates the model.
createWorkingDirectory(String) - Method in class weka.classifiers.meta.ensembleSelection.EnsembleSelectionLibrary: Creates the working directory associated with this library

D

DefaultModelsPanel - Class in weka.gui.ensembleLibraryEditor: This class is intended to build a panel that contains as interface that will let users choose default lists of models to add to the library.
DefaultModelsPanel(ListModelsPanel) - Constructor for class weka.gui.ensembleLibraryEditor.DefaultModelsPanel: Constructor to initialize the GUI
DefaultNode - Class in weka.gui.ensembleLibraryEditor.tree: This class is responsible for representing objects that we haven't explicitly written custom tree node editors for.
DefaultNode(String, String, Object, PropertyEditor) - Constructor for class weka.gui.ensembleLibraryEditor.tree.DefaultNode: The constructor initializes the members of this node.
distributionForInstance(Instance) - Method in class weka.classifiers.meta.EnsembleSelection: Calculates the class membership probabilities for the given test instance.

E

EnsembleLibrary - Class in weka.classifiers: This class represents a library of classifiers.
EnsembleLibrary() - Constructor for class weka.classifiers.EnsembleLibrary: Constructor is responsible for initializing the data structure hoilding all of the models
EnsembleLibraryEditor - Class in weka.gui: Class for editing Library objects.
EnsembleLibraryEditor() - Constructor for class weka.gui.EnsembleLibraryEditor: Constructs a new LibraryEditor.
EnsembleLibraryModel - Class in weka.classifiers: This class is a light wrapper that is meant to represent a classifier in a classifier library.
EnsembleLibraryModel() - Constructor for class weka.classifiers.EnsembleLibraryModel: Default Constructor
EnsembleLibraryModel(Classifier) - Constructor for class weka.classifiers.EnsembleLibraryModel: Initializes the class with the given classifier.
EnsembleLibraryModelComparator - Class in weka.classifiers: This class is a Comparator for the LibraryModel class.
EnsembleLibraryModelComparator() - Constructor for class weka.classifiers.EnsembleLibraryModelComparator
EnsembleMetricHelper - Class in weka.classifiers.meta.ensembleSelection: This class is used by Ensemble Selection.
EnsembleMetricHelper() - Constructor for class weka.classifiers.meta.ensembleSelection.EnsembleMetricHelper
EnsembleModelMismatchException - Exception in weka.classifiers.meta.ensembleSelection: This excpetion gets thrown when a models don't match.
EnsembleModelMismatchException(String) - Constructor for exception weka.classifiers.meta.ensembleSelection.EnsembleModelMismatchException: constructor of the exception
EnsembleSelection - Class in weka.classifiers.meta: Combines several classifiers using the ensemble selection method.
EnsembleSelection() - Constructor for class weka.classifiers.meta.EnsembleSelection
EnsembleSelectionLibrary - Class in weka.classifiers.meta.ensembleSelection: This class represents an ensemble library.
EnsembleSelectionLibrary() - Constructor for class weka.classifiers.meta.ensembleSelection.EnsembleSelectionLibrary: Creates a default libary.
EnsembleSelectionLibrary(String, int, int, double) - Constructor for class weka.classifiers.meta.ensembleSelection.EnsembleSelectionLibrary: Creates a default libary.
EnsembleSelectionLibrary(String) - Constructor for class weka.classifiers.meta.ensembleSelection.EnsembleSelectionLibrary: This constructor will create a library from a model list file given by the file name argument
EnsembleSelectionLibrary(InputStream) - Constructor for class weka.classifiers.meta.ensembleSelection.EnsembleSelectionLibrary: This constructor will create a library from the given XML stream.
EnsembleSelectionLibraryEditor - Class in weka.gui: Class for editing Ensemble Library objects.
EnsembleSelectionLibraryEditor() - Constructor for class weka.gui.EnsembleSelectionLibraryEditor: Constructs a new LibraryEditor.
EnsembleSelectionLibraryModel - Class in weka.classifiers.meta.ensembleSelection: This class represents a library model that is used for EnsembleSelection.
EnsembleSelectionLibraryModel() - Constructor for class weka.classifiers.meta.ensembleSelection.EnsembleSelectionLibraryModel: Default Constructor
EnsembleSelectionLibraryModel(Classifier, int, String, double, int) - Constructor for class weka.classifiers.meta.ensembleSelection.EnsembleSelectionLibraryModel: Constructor for LibaryModel
EnsembleSelectionLibraryModel(Classifier) - Constructor for class weka.classifiers.meta.ensembleSelection.EnsembleSelectionLibraryModel: Basic Constructor
epsilon - Static variable in class weka.gui.ensembleLibraryEditor.tree.NumberNode: This is the maximum floating point value that we care about when testing for equality.
equals(Number, Number) - Method in class weka.gui.ensembleLibraryEditor.tree.NumberNode: tests for equality among two objects that are instances of one of the child classes of java.lang.Number
EXCLUDE_OPTIONS - Variable in class weka.gui.ensembleLibraryEditor.DefaultModelsPanel: options to exclude

F

FILE_EXTENSION - Static variable in class weka.classifiers.meta.ensembleSelection.EnsembleSelectionLibraryModel: The default file extension for ensemble library models
firstElement() - Method in class weka.gui.ensembleLibraryEditor.ModelList.SortedListModel
FLAT_FILE_EXTENSION - Static variable in class weka.classifiers.EnsembleLibrary: The flat file extension for model list files
forwardSelect(boolean, Instances, int) - Method in class weka.classifiers.meta.ensembleSelection.ModelBag: Forward select one model.
forwardSelectOrBackwardEliminate(boolean, Instances, int) - Method in class weka.classifiers.meta.ensembleSelection.ModelBag: Find the best action to perform, be it adding a model or removing a model, and perform it.

G

GenericObjectNode - Class in weka.gui.ensembleLibraryEditor.tree: This class is responsible for allowing users to choose an object that was provided with a GenericObjectEditor.
GenericObjectNode(AddModelsPanel, Object, GenericObjectEditor, String) - Constructor for class weka.gui.ensembleLibraryEditor.tree.GenericObjectNode: The constructor initialiazes the member variables of this node, Note that the "value" of this generic object is stored as the treeNode user object.
GenericObjectNodeEditor - Class in weka.gui.ensembleLibraryEditor.tree: This class creates a simple user interface for selecting the Generic Object Type.
GenericObjectNodeEditor(GenericObjectNode) - Constructor for class weka.gui.ensembleLibraryEditor.tree.GenericObjectNodeEditor: The constructor builds initializes the various member values from the node
getAlgorithm() - Method in class weka.classifiers.meta.EnsembleSelection: Gets the algorithm
getAllValues() - Method in class weka.gui.ensembleLibraryEditor.tree.PropertyNode: This method gets the range of values as specified by the child editor nodes.
getAsText() - Method in class weka.gui.EnsembleLibraryEditor: Some objects can be represented as text, but a library cannot.
getAveragePrediction(Instance) - Method in class weka.classifiers.meta.ensembleSelection.EnsembleSelectionLibraryModel: Returns the average of the prediction of the models across all folds.
getCapabilities() - Method in class weka.classifiers.meta.EnsembleSelection: We return true for basically everything except for Missing class values, because we can't really answer for all the models in our library.
getCellEditorValue() - Method in class weka.gui.ensembleLibraryEditor.tree.ModelTreeNodeEditor: I'm supposed to implemnent this as part of the TreeCellEDitor interface.
getCheckable() - Method in class weka.gui.ensembleLibraryEditor.tree.NumberNode: returns whether or not this node can be toggled on and off
getChecksum() - Method in class weka.classifiers.meta.ensembleSelection.EnsembleSelectionLibraryModel: get the checksum
getClassifier() - Method in class weka.classifiers.EnsembleLibraryModel: Returns the base classifier this library model represents.
getCustomEditor() - Method in class weka.gui.EnsembleLibraryEditor: Gets a GUI component with which the user can edit the cost matrix.
getCustomEditor() - Method in class weka.gui.EnsembleSelectionLibraryEditor: Gets a GUI component with which the user can edit the cost matrix.
getDataDirectoryName(Instances) - Static method in class weka.classifiers.meta.ensembleSelection.EnsembleSelectionLibrary: Returns the unique name for the set of instances supplied.
getDefaultRenderer(PropertyEditor) - Static method in class weka.gui.EnsembleLibraryEditor: This is a helper function that creates a renderer for Default Objects.
getDefaultWorkingDirectory() - Static method in class weka.classifiers.meta.EnsembleSelection: This method tries to find a reasonable path name for the ensemble working directory where models and files will be stored.
getDescriptionText() - Method in class weka.classifiers.EnsembleLibraryModel: getter for the string representation
getEditor() - Method in class weka.gui.ensembleLibraryEditor.tree.DefaultNode: this returns the property editor that was provided for this object.
getEditor() - Method in class weka.gui.ensembleLibraryEditor.tree.GenericObjectNode: A getter for the GenericObjectEditor for this node
getEditorValue(Object) - Static method in class weka.gui.EnsembleLibraryEditor: This method handles the different object editor types in weka to obtain their current values.
getElementAt(int) - Method in class weka.gui.ensembleLibraryEditor.ModelList.SortedListModel
getErrorText() - Method in class weka.classifiers.EnsembleLibraryModel: getter for the error text
getFileName(String) - Static method in class weka.classifiers.meta.ensembleSelection.EnsembleSelectionLibraryModel: The purpose of this method is to get an appropriate file name for a model based on its string representation of a model.
getFoldPrediction(Instance, int) - Method in class weka.classifiers.meta.ensembleSelection.EnsembleSelectionLibraryModel: Returns prediction of the classifier for the specified fold.
getFolds() - Method in class weka.classifiers.meta.ensembleSelection.EnsembleSelectionLibraryModel: get the number of folds
getGreedySortInitialization() - Method in class weka.classifiers.meta.EnsembleSelection: Get the value of greedySortInitialization.
getHelpText() - Method in class weka.gui.ensembleLibraryEditor.tree.GenericObjectNode: getter for the tooltip text
getHillclimbIterations() - Method in class weka.classifiers.meta.EnsembleSelection: Gets the number of hillclimbIterations.
getHillclimbMetric() - Method in class weka.classifiers.meta.EnsembleSelection: Gets the hill climbing metric.
getHillclimbPredictions() - Method in class weka.classifiers.meta.ensembleSelection.EnsembleSelectionLibrary: This method will get the predictions for all the models in the ensemble library.
getIndividualPerformance(Instances, int) - Method in class weka.classifiers.meta.ensembleSelection.ModelBag: Gets the individual performances of all the models in the bag.
getInstancesChecksum(Instances) - Static method in class weka.classifiers.meta.ensembleSelection.EnsembleSelectionLibrary: This method takes an Instances object and returns a checksum of its toString method - that is the checksum of the .arff file that would be created if the Instances object were transformed into an arff file in the file system.
getIteratorType() - Method in class weka.gui.ensembleLibraryEditor.tree.NumberNode: getter for this node's iteratorType which will be one of the three enumerated values
getJavaInitializationString() - Method in class weka.gui.EnsembleLibraryEditor: Returns the Java code that generates an object the same as the one being edited.
getLibrary() - Method in class weka.classifiers.meta.EnsembleSelection: Gets the ensemble library.
getLibrary() - Method in class weka.gui.ensembleLibraryEditor.ListModelsPanel: returns the current library
getListCellRendererComponent(JList, Object, int, boolean, boolean) - Method in class weka.gui.ensembleLibraryEditor.ModelList.ModelListRenderer: This is the only method necessary to overload.
getMetric(Evaluation, int) - Static method in class weka.classifiers.meta.ensembleSelection.EnsembleMetricHelper: Given an Evaluation object and metric, call the appropriate function to get the value for that metric and return it.
getModelClass() - Method in class weka.classifiers.EnsembleLibraryModel: getter for the modelClass
getModelListFile() - Method in class weka.classifiers.meta.ensembleSelection.EnsembleSelectionLibrary: Gets the model list file that holds the list of models in the ensemble library.
getModelNames() - Method in class weka.classifiers.meta.ensembleSelection.EnsembleSelectionLibrary: This method will return a Set object containing all the String representations of the models.
getModelRatio() - Method in class weka.classifiers.meta.EnsembleSelection: Get the value of modelRatio.
getModels() - Method in class weka.classifiers.EnsembleLibrary: getter for the set of models in this library
getModels() - Method in class weka.classifiers.meta.ensembleSelection.EnsembleSelectionLibraryModel: Returs the array of classifiers
getModelWeights() - Method in class weka.classifiers.meta.ensembleSelection.ModelBag: returns the model weights
getName() - Method in class weka.gui.ensembleLibraryEditor.tree.CheckBoxNode: gets the name of the parameter value represented by this node which is stored as the node's user object
getName() - Method in class weka.gui.ensembleLibraryEditor.tree.DefaultNode: gets the name of the parameter value represented by this node
getName() - Method in class weka.gui.ensembleLibraryEditor.tree.PropertyNode: getter for the name to be displayed for this node
getNodeEditor() - Method in class weka.gui.ensembleLibraryEditor.tree.GenericObjectNode: A getter for the GenericObjectNodeEditor for this node
getNumberFormat() - Method in class weka.gui.ensembleLibraryEditor.tree.NumberNode: A helper method to figure out what number format should be used to display the numbers value in a formatted text box.
getNumFolds() - Method in class weka.classifiers.meta.EnsembleSelection: Gets the number of folds for the cross-validation.
getNumModelBags() - Method in class weka.classifiers.meta.EnsembleSelection: Gets numModelBags.
getObject() - Method in class weka.gui.ensembleLibraryEditor.tree.GenericObjectNode: getter for this node's object
getOneValue() - Method in class weka.gui.ensembleLibraryEditor.tree.NumberNode: figures out the class of this node's object and returns a new instance of it initialized with the value of "1".
getOptions() - Method in class weka.classifiers.EnsembleLibraryModel: getter for the classifier options
getOptions() - Method in class weka.classifiers.meta.EnsembleSelection: Gets the current settings of the Classifier.
getOptionsWereValid() - Method in class weka.classifiers.EnsembleLibraryModel: getter for the optionsWereValid member variable
getPackageName() - Static method in class weka.gui.ensembleLibraryEditor.DefaultModelsPanel: this bit of code grabs all of the .model.xml files located in the ensemble selection package directory.
getParentPanel() - Method in class weka.gui.ensembleLibraryEditor.tree.GenericObjectNode: getter for the parent panel
getPropertyEditor() - Method in class weka.gui.ensembleLibraryEditor.tree.PropertyNode: this returns the property editor that was provided for this object.
getReplacement() - Method in class weka.classifiers.meta.EnsembleSelection: Get the value of replacement.
getRevision() - Method in class weka.classifiers.EnsembleLibrary: Returns the revision string.
getRevision() - Method in class weka.classifiers.EnsembleLibraryModel: Returns the revision string.
getRevision() - Method in class weka.classifiers.EnsembleLibraryModelComparator: Returns the revision string.
getRevision() - Method in class weka.classifiers.meta.ensembleSelection.EnsembleMetricHelper: Returns the revision string.
getRevision() - Method in class weka.classifiers.meta.ensembleSelection.EnsembleSelectionLibrary: Returns the revision string.
getRevision() - Method in class weka.classifiers.meta.ensembleSelection.EnsembleSelectionLibraryModel: Returns the revision string.
getRevision() - Method in class weka.classifiers.meta.EnsembleSelection: Returns the revision string.
getRevision() - Method in class weka.classifiers.meta.ensembleSelection.ModelBag: Returns the revision string.
getSeed() - Method in class weka.classifiers.meta.ensembleSelection.EnsembleSelectionLibraryModel: Get the seed
getSelected() - Method in class weka.gui.ensembleLibraryEditor.tree.CheckBoxNode: getter for the node state
getSelected() - Method in class weka.gui.ensembleLibraryEditor.tree.NumberNode: getter for the node selected state
getSize() - Method in class weka.gui.ensembleLibraryEditor.ModelList.SortedListModel
getSortInitializationRatio() - Method in class weka.classifiers.meta.EnsembleSelection: Get the value of sortInitializationRatio.
getStringChecksum(String) - Static method in class weka.classifiers.meta.ensembleSelection.EnsembleSelectionLibraryModel: Gets a checksum for the string defining this classifier.
getStringRepresentation() - Method in class weka.classifiers.EnsembleLibraryModel: getter for the string representation
getTags() - Method in class weka.gui.EnsembleLibraryEditor: Some objects can return tags, but a cost matrix cannot.
getTechnicalInformation() - Method in class weka.classifiers.meta.EnsembleSelection: Return the technical information.
getText() - Method in class weka.gui.ensembleLibraryEditor.tree.NumberNode: returns the text to be displayed for this node
getToolTipText() - Method in class weka.gui.ensembleLibraryEditor.tree.CheckBoxNode: getter for the tooltip text
getToolTipText() - Method in class weka.gui.ensembleLibraryEditor.tree.DefaultNode: getter for the tooltip text
getToolTipText() - Method in class weka.gui.ensembleLibraryEditor.tree.GenericObjectNode: getter for the tooltip text
getToolTipText() - Method in class weka.gui.ensembleLibraryEditor.tree.NumberNode: getter for the tooltip text
getToolTipText() - Method in class weka.gui.ensembleLibraryEditor.tree.PropertyNode: getter for the tooltip text
getTree() - Method in class weka.gui.ensembleLibraryEditor.tree.GenericObjectNode: returns the current tree
getTreeCellEditorComponent(JTree, Object, boolean, boolean, boolean, int) - Method in class weka.gui.ensembleLibraryEditor.tree.ModelTreeNodeEditor: This method uses the ModelTreeNodeRenderer class to get the individual editors and then registers this classes editing event listeners with them
getTreeCellRendererComponent(JTree, Object, boolean, boolean, boolean, int, boolean) - Method in class weka.gui.ensembleLibraryEditor.tree.ModelTreeNodeRenderer: This is the method of this class that is responsible for figuring out how to display each of the tree nodes.
getTwoValue() - Method in class weka.gui.ensembleLibraryEditor.tree.NumberNode: figures out the class of this node's object and returns a new instance of it initialized with the value of "2".
getValidationPredictions() - Method in class weka.classifiers.meta.ensembleSelection.EnsembleSelectionLibraryModel: getter for validation predictions
getValidationRatio() - Method in class weka.classifiers.meta.ensembleSelection.EnsembleSelectionLibraryModel: get validationRatio
getValidationRatio() - Method in class weka.classifiers.meta.EnsembleSelection: Get the value of validationRatio.
getValue() - Method in class weka.gui.EnsembleLibraryEditor: Gets the cost matrix that is being edited.
getValue() - Method in class weka.gui.ensembleLibraryEditor.tree.NumberNode: getter for this node's object
getValues() - Method in class weka.gui.ensembleLibraryEditor.tree.GenericObjectNode: This method iterates over all of the child nodes of this GenericObjectNode and requests the verious sets of values that the user has presumably specified.
getVerboseOutput() - Method in class weka.classifiers.meta.EnsembleSelection: Get the value of verboseOutput.
getWorkingDirectory() - Method in class weka.classifiers.meta.ensembleSelection.EnsembleSelectionLibrary: Gets the working Directory of the ensemble library.
getWorkingDirectory() - Method in class weka.classifiers.meta.EnsembleSelection: Get the value of working directory.
getZeroValue() - Method in class weka.gui.ensembleLibraryEditor.tree.NumberNode: figures out the class of this node's object and returns a new instance of it initialized with the value of "0".
globalInfo() - Method in class weka.classifiers.meta.EnsembleSelection: Returns a string describing classifier
greedySortInitializationTipText() - Method in class weka.classifiers.meta.EnsembleSelection: Returns the tip text for this property

H

hillclimbIterationsTipText() - Method in class weka.classifiers.meta.EnsembleSelection: Returns the tip text for this property
hillclimbMetricTipText() - Method in class weka.classifiers.meta.EnsembleSelection: Returns the tip text for this property

I

InvalidInputException - Exception in weka.gui.ensembleLibraryEditor.tree: A custom Exception that is thrown when a user specifies an invalid set of parameters to the LibraryEditor Tree GUI.
InvalidInputException(String) - Constructor for exception weka.gui.ensembleLibraryEditor.tree.InvalidInputException: initializes the exception
isCellEditable(EventObject) - Method in class weka.gui.ensembleLibraryEditor.tree.ModelTreeNodeEditor: This tells the JTree whether or not to let nodes in the tree be edited.
isLoadModelsPanelSelected() - Method in class weka.gui.EnsembleSelectionLibraryEditor: returns whether or not the LoadModelsPanel is currently selected
isPaintable() - Method in class weka.gui.EnsembleLibraryEditor: Indicates whether the object can be represented graphically.
itemStateChanged(ItemEvent) - Method in class weka.gui.ensembleLibraryEditor.tree.CheckBoxNode: This is the listener that fires when the check box is actually toggled.
itemStateChanged(ItemEvent) - Method in class weka.gui.ensembleLibraryEditor.tree.CheckBoxNodeEditor: This is the implementation of the itemListener for the CheckBoxNode.
itemStateChanged(ItemEvent) - Method in class weka.gui.ensembleLibraryEditor.tree.ModelTreeNodeEditor: The item Listener that gets registered with all node editors that have a widget that had itemStateChangeg events.
itemStateChanged(ItemEvent) - Method in class weka.gui.ensembleLibraryEditor.tree.NumberNodeEditor: This is the Listener that while handle events from the checkBox ,if this node has one.
iterator() - Method in class weka.gui.ensembleLibraryEditor.ModelList.SortedListModel

L

lastElement() - Method in class weka.gui.ensembleLibraryEditor.ModelList.SortedListModel
lessThan(Number, Number) - Method in class weka.gui.ensembleLibraryEditor.tree.NumberNode: tests if the first argument is greater than the second among two objects that are instances of one of the child classes of java.lang.Number
LibrarySerialization - Class in weka.gui.ensembleLibraryEditor: For serializing LibraryModels.
LibrarySerialization() - Constructor for class weka.gui.ensembleLibraryEditor.LibrarySerialization: initializes the serialization
libraryTipText() - Method in class weka.classifiers.meta.EnsembleSelection: Returns the tip text for this property
ListModelsPanel - Class in weka.gui.ensembleLibraryEditor: This class is responsible for creating the main panel in the library editor gui.
ListModelsPanel(EnsembleLibrary) - Constructor for class weka.gui.ensembleLibraryEditor.ListModelsPanel: Constructor to initialize library object and GUI
listOptions() - Method in class weka.classifiers.meta.EnsembleSelection: Returns an enumeration describing the available options.
loadLibrary(File, JComponent, EnsembleLibrary) - Static method in class weka.classifiers.EnsembleLibrary: Loads and returns a library from the specified file
loadLibrary(File, EnsembleLibrary) - Static method in class weka.classifiers.EnsembleLibrary: This method takes a model list file and a library object as arguments and Instantiates all of the models in the library list file.
loadLibrary(InputStream, EnsembleLibrary) - Static method in class weka.classifiers.EnsembleLibrary: This method takes an XML input stream and a library object as arguments and Instantiates all of the models in the stream.
loadModel(String) - Static method in class weka.classifiers.meta.ensembleSelection.EnsembleSelectionLibraryModel: loads the specified model
loadModels() - Method in class weka.gui.ensembleLibraryEditor.LoadModelsPanel: This method will load all of the models found in the current working directory into the ModelList object
LoadModelsPanel - Class in weka.gui.ensembleLibraryEditor
LoadModelsPanel(ListModelsPanel, EnsembleSelectionLibraryEditor) - Constructor for class weka.gui.ensembleLibraryEditor.LoadModelsPanel: This constructor simply stores the reference to the ListModelsPanel and build the user interface.

M

m_Debug - Variable in class weka.classifiers.meta.ensembleSelection.EnsembleSelectionLibrary: Whether we should print debug messages.
m_Debug - Variable in class weka.classifiers.meta.ensembleSelection.EnsembleSelectionLibraryModel: The debug flag as propagated from the main EnsembleSelection class.
m_Models - Variable in class weka.classifiers.EnsembleLibrary: the set of classifiers that constitute the library
main(String[]) - Static method in class weka.classifiers.meta.EnsembleSelection: Executes the classifier from commandline.
main(String[]) - Static method in class weka.gui.EnsembleLibraryEditor: This is a simple main method that lets you run a LibraryEditor on its own without having to deal with the Explorer, etc...
METRIC_ACCURACY - Static variable in class weka.classifiers.meta.ensembleSelection.EnsembleMetricHelper: metric: Accuracy
METRIC_ALL - Static variable in class weka.classifiers.meta.ensembleSelection.EnsembleMetricHelper: metric: All
METRIC_FSCORE - Static variable in class weka.classifiers.meta.ensembleSelection.EnsembleMetricHelper: metric: FScore
METRIC_PRECISION - Static variable in class weka.classifiers.meta.ensembleSelection.EnsembleMetricHelper: metric: Precision
METRIC_RECALL - Static variable in class weka.classifiers.meta.ensembleSelection.EnsembleMetricHelper: metric: Recall
METRIC_RMSE - Static variable in class weka.classifiers.meta.ensembleSelection.EnsembleMetricHelper: metric: RMSE
METRIC_ROC - Static variable in class weka.classifiers.meta.ensembleSelection.EnsembleMetricHelper: metric: ROC
ModelBag - Class in weka.classifiers.meta.ensembleSelection: This class is responsible for the duties of a bag of models.
ModelBag(double[][][], double, boolean) - Constructor for class weka.classifiers.meta.ensembleSelection.ModelBag: Constructor for ModelBag.
ModelList - Class in weka.gui.ensembleLibraryEditor: This class is basically a customization of the JList class to allow it to display LibraryModel objects.
ModelList() - Constructor for class weka.gui.ensembleLibraryEditor.ModelList: The constructor simply initializes the model and the renderer.
ModelList.ModelListRenderer - Class in weka.gui.ensembleLibraryEditor: This nested helper class is responsible for rendering each Library Model object.
ModelList.SortedListModel - Class in weka.gui.ensembleLibraryEditor: This is a helper class that creates a custom list model for the ModelList class.
ModelListRenderer() - Constructor for class weka.gui.ensembleLibraryEditor.ModelList.ModelListRenderer
modelRatioTipText() - Method in class weka.classifiers.meta.EnsembleSelection: Returns the tip text for this property
ModelTreeNodeEditor - Class in weka.gui.ensembleLibraryEditor.tree: This class is in charge of dynamically creating editor GUI objects on demand for the main JTree class that will display our Classifier tree model of parameters.
ModelTreeNodeEditor(JTree) - Constructor for class weka.gui.ensembleLibraryEditor.tree.ModelTreeNodeEditor: default Constructor
ModelTreeNodeRenderer - Class in weka.gui.ensembleLibraryEditor.tree: This class renders a tree nodes.
ModelTreeNodeRenderer() - Constructor for class weka.gui.ensembleLibraryEditor.tree.ModelTreeNodeRenderer: empty Constructor
multiplyNumbers(Number, Number) - Method in class weka.gui.ensembleLibraryEditor.tree.NumberNode: multiplies two objects that are instances of one of the child classes of java.lang.Number

N

NOT_ITERATOR - Static variable in class weka.gui.ensembleLibraryEditor.tree.NumberNode: the enumerated value indicating a node is not an iterator
NumberClassNotFoundException - Exception in weka.gui.ensembleLibraryEditor.tree: This is a custom exception that gets thrown when the NumberNode class or its editor cannot determine the correct child class of java.lang.Number for a numeric parameter.
NumberClassNotFoundException(String) - Constructor for exception weka.gui.ensembleLibraryEditor.tree.NumberClassNotFoundException: initializes the exception
NumberNode - Class in weka.gui.ensembleLibraryEditor.tree: This subclass is responsible for allowing users to specify either a minimum, maximum, or iterator value for Integer attributes.
NumberNode(String, Number, int, boolean, String) - Constructor for class weka.gui.ensembleLibraryEditor.tree.NumberNode: The constructor simply initializes all of the member variables
NumberNodeEditor - Class in weka.gui.ensembleLibraryEditor.tree: This class is responsible for creating the number editor GUI to allow users to specify ranges of numerical values.
NumberNodeEditor(NumberNode) - Constructor for class weka.gui.ensembleLibraryEditor.tree.NumberNodeEditor: The constructor builds a user interface based on the information queried from the node passed in.
numFoldsTipText() - Method in class weka.classifiers.meta.EnsembleSelection: Returns the tip text for this property
numModelBagsTipText() - Method in class weka.classifiers.meta.EnsembleSelection: Returns the tip text for this property

P

paintValue(Graphics, Rectangle) - Method in class weka.gui.EnsembleLibraryEditor: Paints a graphical representation of the Object.
PLUS_EQUAL - Static variable in class weka.gui.ensembleLibraryEditor.tree.NumberNode: the enumerated value indicating a node is a += iterator
popupMenuCanceled(PopupMenuEvent) - Method in class weka.gui.ensembleLibraryEditor.tree.GenericObjectNodeEditor: in the case that the popup menu is cancelled we need to manually inform the ModelTreeNodeEditor that we are done editing.
popupMenuWillBecomeInvisible(PopupMenuEvent) - Method in class weka.gui.ensembleLibraryEditor.tree.GenericObjectNodeEditor: Necessary for popup listener interface.
popupMenuWillBecomeVisible(PopupMenuEvent) - Method in class weka.gui.ensembleLibraryEditor.tree.GenericObjectNodeEditor: Necessary for popup listener interface.
PROPERTY_FILE - Static variable in class weka.gui.ensembleLibraryEditor.DefaultModelsPanel: the name of the property file
propertyChange(PropertyChangeEvent) - Method in class weka.gui.ensembleLibraryEditor.LoadModelsPanel: This property change listener gets fired whenever the library's default working directory changes.
propertyChange(PropertyChangeEvent) - Method in class weka.gui.ensembleLibraryEditor.tree.DefaultNode: This implements the PropertyChangeListener for this node that gets registered with its Editor.
propertyChange(PropertyChangeEvent) - Method in class weka.gui.ensembleLibraryEditor.tree.GenericObjectNode: This implements the PropertyChangeListener for this node that gets registered with its Editor.
propertyChange(PropertyChangeEvent) - Method in class weka.gui.ensembleLibraryEditor.tree.GenericObjectNodeEditor: This method implements the property change listener for this node.
propertyChange(PropertyChangeEvent) - Method in class weka.gui.ensembleLibraryEditor.tree.ModelTreeNodeEditor: The prtopertyListener that gets registered with all node editors that have a widget that had propertyStateChangeg events.
propertyChange(PropertyChangeEvent) - Method in class weka.gui.ensembleLibraryEditor.tree.NumberNodeEditor: This is the Listener that while handle events from the text box for this node.
PropertyNode - Class in weka.gui.ensembleLibraryEditor.tree: This node class represents individual parameters of generic objects (in practice this means classifiers).
PropertyNode(JTree, AddModelsPanel, String, String, Object, PropertyEditor) - Constructor for class weka.gui.ensembleLibraryEditor.tree.PropertyNode: The constructor initialiazes the member variables of this node, Note that the "value" of this generic object is stored as the treeNode user object.

R

rehydrateModel(String) - Method in class weka.classifiers.meta.ensembleSelection.EnsembleSelectionLibraryModel: The purpose of this method is to "rehydrate" the classifier object fot this library model from the filesystem.
releaseModel() - Method in class weka.classifiers.meta.ensembleSelection.EnsembleSelectionLibraryModel: Releases the model from memory.
removeElement(Object) - Method in class weka.gui.ensembleLibraryEditor.ModelList.SortedListModel
removeModel(EnsembleLibraryModel) - Method in class weka.classifiers.EnsembleLibrary: removes a LibraryModel from the Library
removeModel(String) - Method in class weka.classifiers.meta.ensembleSelection.EnsembleSelectionLibrary: This will remove the model associated with the given String from the model libraryHashMap
removeModel(EnsembleLibraryModel) - Method in class weka.gui.ensembleLibraryEditor.ListModelsPanel: Removes a model to the current library
removePropertyChangeListener(PropertyChangeListener) - Method in class weka.gui.EnsembleLibraryEditor: Removes an object from the list of those that wish to be informed when the cost matrix changes.
replacementTipText() - Method in class weka.classifiers.meta.EnsembleSelection: Returns the tip text for this property
roundDouble(double) - Static method in class weka.gui.ensembleLibraryEditor.tree.NumberNode: This method rounds a double to the number of decimal places defined by scale
roundFloat(float) - Static method in class weka.gui.ensembleLibraryEditor.tree.NumberNode: This method rounds a float to the number of decimal places defined by scale

S

saveLibrary(File, EnsembleLibrary, JComponent) - Static method in class weka.classifiers.EnsembleLibrary: Saves the given library in the specified file.
saveModel(String, EnsembleSelectionLibraryModel) - Static method in class weka.classifiers.meta.ensembleSelection.EnsembleSelectionLibraryModel: Saves the given model to the specified file.
scale - Static variable in class weka.gui.ensembleLibraryEditor.tree.NumberNode: this defines the number of decimal places we care about, we arbitrarily chose 7 thinking that anything beyond this is overkill
setActionListener(ActionListener) - Method in class weka.gui.ensembleLibraryEditor.tree.NumberNodeEditor: This method provides a way for the ModelTreeNodeEditor to register an actionListener with this editor.
setAlgorithm(SelectedTag) - Method in class weka.classifiers.meta.EnsembleSelection: Sets the Algorithm to use
setAsText(String) - Method in class weka.gui.EnsembleLibraryEditor: Some objects can be represented as text, but a library cannot.
setBoxSelected(boolean) - Method in class weka.gui.ensembleLibraryEditor.tree.CheckBoxNode: sets whether the box is selected
setChecksum(String) - Method in class weka.classifiers.meta.ensembleSelection.EnsembleSelectionLibraryModel: set the checksum
setDebug(boolean) - Method in class weka.classifiers.meta.ensembleSelection.EnsembleSelectionLibrary: Set debug flag for the library and all its models.
setDebug(boolean) - Method in class weka.classifiers.meta.ensembleSelection.EnsembleSelectionLibraryModel: This is used to propagate the m_Debug flag of the EnsembleSelection classifier to this class.
setDescriptionText(String) - Method in class weka.classifiers.EnsembleLibraryModel: setter for the description text
setErrorText(String) - Method in class weka.classifiers.EnsembleLibraryModel: setter for the error text
setFileName(String) - Method in class weka.classifiers.meta.ensembleSelection.EnsembleSelectionLibraryModel: Sets the .elm file name for this library model
setFolds(int) - Method in class weka.classifiers.meta.ensembleSelection.EnsembleSelectionLibraryModel: Set the number of folds for cross validation.
setGreedySortInitialization(boolean) - Method in class weka.classifiers.meta.EnsembleSelection: Set the value of greedySortInitialization.
setHillclimbIterations(int) - Method in class weka.classifiers.meta.EnsembleSelection: Sets the number of hillclimbIterations.
setHillclimbMetric(SelectedTag) - Method in class weka.classifiers.meta.EnsembleSelection: Sets the hill climbing metric.
setItemListener(ItemListener) - Method in class weka.gui.ensembleLibraryEditor.tree.CheckBoxNodeEditor: This method provides a way for the ModelTreeNodeEditor to register an itemListener with this editor.
setItemListener(ItemListener) - Method in class weka.gui.ensembleLibraryEditor.tree.NumberNodeEditor: This method provides a way for the ModelTreeNodeEditor to register an itemListener with this editor.
setIteratorType(int) - Method in class weka.gui.ensembleLibraryEditor.tree.NumberNode: setter for this nodes iteratorType which should be one of the three enumerated values
setLibrary(EnsembleSelectionLibrary) - Method in class weka.classifiers.meta.EnsembleSelection: Sets the ensemble library.
setLibrary(EnsembleLibrary) - Method in class weka.gui.ensembleLibraryEditor.ListModelsPanel: this is necessay to set the Library object after initiialization
setLibrary(EnsembleSelectionLibrary) - Method in class weka.gui.ensembleLibraryEditor.LoadModelsPanel: Sets the library to use
setModelListFile(String) - Method in class weka.classifiers.meta.ensembleSelection.EnsembleSelectionLibrary: Sets the model list file that holds the list of models in the ensemble library.
setModelRatio(double) - Method in class weka.classifiers.meta.EnsembleSelection: Set the value of modelRatio.
setModels(TreeSet) - Method in class weka.classifiers.EnsembleLibrary: setter for the set of models in this library
setName(String) - Method in class weka.gui.ensembleLibraryEditor.tree.CheckBoxNode: sets the name of the parameter value represented by this node and stores it as the node's user object
setNodeEditor(GenericObjectNodeEditor) - Method in class weka.gui.ensembleLibraryEditor.tree.GenericObjectNode: A setter for the GenericObjectNodeEditor for this node
setNumFolds(int) - Method in class weka.classifiers.meta.ensembleSelection.EnsembleSelectionLibrary: Set the number of folds for cross validation.
setNumFolds(int) - Method in class weka.classifiers.meta.EnsembleSelection: Sets the number of folds for the cross-validation.
setNumModelBags(int) - Method in class weka.classifiers.meta.EnsembleSelection: Sets numModelBags.
setObject(Object) - Method in class weka.gui.ensembleLibraryEditor.tree.GenericObjectNode: setter for this nodes object
setOptions(String[]) - Method in class weka.classifiers.meta.EnsembleSelection: Valid options are:
setOptionsWereValid(boolean) - Method in class weka.classifiers.EnsembleLibraryModel: setter for the optionsWereValid member variable
setPropertyChangeListener(PropertyChangeListener) - Method in class weka.gui.ensembleLibraryEditor.tree.GenericObjectNodeEditor: Sets the prop change listener
setPropertyChangeListener(PropertyChangeListener) - Method in class weka.gui.ensembleLibraryEditor.tree.NumberNodeEditor: This method provides a way for the ModelTreeNodeEditor to register a PropertyListener with this editor.
setReplacement(boolean) - Method in class weka.classifiers.meta.EnsembleSelection: Set the value of replacement.
setSeed(int) - Method in class weka.classifiers.meta.ensembleSelection.EnsembleSelectionLibraryModel: Set the seed
setSelected(boolean) - Method in class weka.gui.ensembleLibraryEditor.tree.CheckBoxNode: setter for the node state
setSelected(boolean) - Method in class weka.gui.ensembleLibraryEditor.tree.NumberNode: setter for the node selected state
setSortInitializationRatio(double) - Method in class weka.classifiers.meta.EnsembleSelection: Set the value of sortInitializationRatio.
setTree(JTree) - Method in class weka.gui.ensembleLibraryEditor.tree.GenericObjectNode: It seems kind of dumb that the reference to the tree model is passed in seperately - but know that this is actually necessary.
setUserObject(Object) - Method in class weka.gui.ensembleLibraryEditor.tree.CheckBoxNode: this is a simple filter for the setUserObject method.
setUserObject(Object) - Method in class weka.gui.ensembleLibraryEditor.tree.DefaultNode: this is a simple filter for the setUserObject method.
setUserObject(Object) - Method in class weka.gui.ensembleLibraryEditor.tree.GenericObjectNode: this is a simple filter for the setUserObject method.
setUserObject(Object) - Method in class weka.gui.ensembleLibraryEditor.tree.NumberNode: this is a simple filter for the setUserObject method.
setValidationPredictions(double[][]) - Method in class weka.classifiers.meta.ensembleSelection.EnsembleSelectionLibraryModel: setter for validation predictions
setValidationRatio(double) - Method in class weka.classifiers.meta.ensembleSelection.EnsembleSelectionLibrary: Sets the validation-set ratio.
setValidationRatio(double) - Method in class weka.classifiers.meta.ensembleSelection.EnsembleSelectionLibraryModel: Sets the validation set ratio (only meaningful if folds == 1)
setValidationRatio(double) - Method in class weka.classifiers.meta.EnsembleSelection: Set the value of validationRatio.
setValue(Object) - Method in class weka.gui.EnsembleLibraryEditor: Sets the value of the Library to be edited.
setValue(Number) - Method in class weka.gui.ensembleLibraryEditor.tree.NumberNode: setter for this nodes object
setValue(Object) - Method in class weka.gui.EnsembleSelectionLibraryEditor: Sets the value of the Library to be edited.
setVerboseOutput(boolean) - Method in class weka.classifiers.meta.EnsembleSelection: Set the value of verboseOutput.
setWorkingDirectory(File) - Method in class weka.classifiers.meta.ensembleSelection.EnsembleSelectionLibrary: Sets the working Directory of the ensemble library.
setWorkingDirectory(File) - Method in class weka.classifiers.meta.EnsembleSelection: Set the value of working directory.
shuffle(Random) - Method in class weka.classifiers.meta.ensembleSelection.ModelBag: Shuffle the models.
size() - Method in class weka.classifiers.EnsembleLibrary: Returns the number of models in the ensemble library
SortedListModel() - Constructor for class weka.gui.ensembleLibraryEditor.ModelList.SortedListModel: default constructor
sortInitializationRatioTipText() - Method in class weka.classifiers.meta.EnsembleSelection: Returns the tip text for this property
sortInitialize(int, boolean, Instances, int) - Method in class weka.classifiers.meta.ensembleSelection.ModelBag: Sort initialize the bag.
stateChanged(ChangeEvent) - Method in class weka.gui.ensembleLibraryEditor.DefaultModelsPanel: this listener event fires when the use switches back to this panel it checks to se if the working directory has changed since they were here last.
stateChanged(ChangeEvent) - Method in class weka.gui.ensembleLibraryEditor.LoadModelsPanel: this listener event fires when the use switches back to this panel it checks to se if the working directory has changed since they were here last.
supportsCustomEditor() - Method in class weka.gui.EnsembleLibraryEditor: Indicates whether the library can be edited in a GUI, which it can.

T

TAGS_ALGORITHM - Static variable in class weka.classifiers.meta.EnsembleSelection: defines metrics that can be chosen for hillclimbing
TAGS_METRIC - Static variable in class weka.classifiers.meta.EnsembleSelection: defines metrics that can be chosen for hillclimbing
testOptions() - Method in class weka.classifiers.EnsembleLibraryModel: This method will attempt to instantiate this classifier with the given options.
TIMES_EQUAL - Static variable in class weka.gui.ensembleLibraryEditor.tree.NumberNode: the enumerated value indicating a node is a *= iterator
toString() - Method in class weka.classifiers.EnsembleLibraryModel: This method converts the current set of arguments and the class name to a string value representing the command line invocation
toString() - Method in class weka.classifiers.meta.EnsembleSelection: Output a representation of this classifier
toString() - Method in class weka.gui.ensembleLibraryEditor.tree.CheckBoxNode: ToString methods prints out the toString method of this nodes user object
toString() - Method in class weka.gui.ensembleLibraryEditor.tree.DefaultNode: ToString method simply prints out the user object toString for this node
toString() - Method in class weka.gui.ensembleLibraryEditor.tree.GenericObjectNode: returns always null
toString() - Method in class weka.gui.ensembleLibraryEditor.tree.NumberNode: returns a string representation
toString() - Method in class weka.gui.ensembleLibraryEditor.tree.PropertyNode: returns a string representation
train(Instances, int) - Method in class weka.classifiers.meta.ensembleSelection.EnsembleSelectionLibraryModel: Train the classifier for the specified fold on the given data
trainAll(Instances, String, int) - Method in class weka.classifiers.meta.ensembleSelection.EnsembleSelectionLibrary: This method will iterate through the TreeMap of models and train all models that do not currently exist (are not yet trained).

U

updateDefaultList() - Method in class weka.gui.ensembleLibraryEditor.DefaultModelsPanel: This method is called in response to user actions prompting us to reload the model list: when they select a new list, or hit reload.
updateDescriptionText() - Method in class weka.classifiers.EnsembleLibraryModel: This method loops through all of the properties of a classifier to build the html toolTipText that will show all of the property values for this model.
updateDirectoryLabel() - Method in class weka.gui.ensembleLibraryEditor.LoadModelsPanel: updates the "directory" label
updateEditor() - Method in class weka.gui.ensembleLibraryEditor.tree.GenericObjectNodeEditor: This method updates the editor by creating the two buttons and the JPanel that constiture the generic object editor GUI.
updateLoadingLabel(int, int) - Method in class weka.gui.ensembleLibraryEditor.LoadModelsPanel: updates the "loading" label
updateTree() - Method in class weka.gui.ensembleLibraryEditor.tree.GenericObjectNode: This method uses introspection to programatically discover all of the parameters for this generic object.

V

validationRatioTipText() - Method in class weka.classifiers.meta.EnsembleSelection: Returns the tip text for this property
verboseOutputTipText() - Method in class weka.classifiers.meta.EnsembleSelection: Returns the tip text for this property

W

weightAll(int) - Method in class weka.classifiers.meta.ensembleSelection.ModelBag: Add "weight" to the number of times each model in the bag was chosen.
weka.classifiers - package weka.classifiers
weka.classifiers.meta - package weka.classifiers.meta
weka.classifiers.meta.ensembleSelection - package weka.classifiers.meta.ensembleSelection
weka.gui - package weka.gui
weka.gui.ensembleLibraryEditor - package weka.gui.ensembleLibraryEditor
weka.gui.ensembleLibraryEditor.tree - package weka.gui.ensembleLibraryEditor.tree
workingDirectoryTipText() - Method in class weka.classifiers.meta.EnsembleSelection: Returns the tip text for this property

X

XML_FILE_EXTENSION - Static variable in class weka.classifiers.EnsembleLibrary: The default file extension for model list files

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