public class DataNearBalancedND extends RandomizableSingleClassifierEnhancer implements TechnicalInformationHandler
@inproceedings{Dong2005, author = {Lin Dong and Eibe Frank and Stefan Kramer}, booktitle = {PKDD}, pages = {84-95}, publisher = {Springer}, title = {Ensembles of Balanced Nested Dichotomies for Multi-class Problems}, year = {2005} } @inproceedings{Frank2004, author = {Eibe Frank and Stefan Kramer}, booktitle = {Twenty-first International Conference on Machine Learning}, publisher = {ACM}, title = {Ensembles of nested dichotomies for multi-class problems}, year = {2004} }Valid options are:
-S <num> Random number seed. (default 1)
-D If set, classifier is run in debug mode and may output additional info to the console
-W Full name of base classifier. (default: weka.classifiers.trees.J48)
Options specific to classifier weka.classifiers.trees.J48:
-U Use unpruned tree.
-C <pruning confidence> Set confidence threshold for pruning. (default 0.25)
-M <minimum number of instances> Set minimum number of instances per leaf. (default 2)
-R Use reduced error pruning.
-N <number of folds> Set number of folds for reduced error pruning. One fold is used as pruning set. (default 3)
-B Use binary splits only.
-S Don't perform subtree raising.
-L Do not clean up after the tree has been built.
-A Laplace smoothing for predicted probabilities.
-Q <seed> Seed for random data shuffling (default 1).
Constructor and Description |
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DataNearBalancedND()
Constructor.
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Modifier and Type | Method and Description |
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void |
buildClassifier(Instances data)
Builds tree recursively.
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double[] |
distributionForInstance(Instance inst)
Predicts the class distribution for a given instance
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Capabilities |
getCapabilities()
Returns default capabilities of the classifier.
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java.lang.String |
getRevision()
Returns the revision string.
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java.lang.String |
getString(int[] indices)
Returns the list of indices as a string.
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TechnicalInformation |
getTechnicalInformation()
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.
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java.lang.String |
globalInfo() |
static void |
main(java.lang.String[] argv)
Main method for testing this class.
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void |
setHashtable(java.util.Hashtable table)
Set hashtable from END.
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java.lang.String |
toString()
Outputs the classifier as a string.
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getOptions, getSeed, listOptions, seedTipText, setOptions, setSeed
classifierTipText, getClassifier, setClassifier
classifyInstance, debugTipText, forName, getDebug, makeCopies, makeCopy, setDebug
public TechnicalInformation getTechnicalInformation()
getTechnicalInformation
in interface TechnicalInformationHandler
public void setHashtable(java.util.Hashtable table)
table
- the hashtable to usepublic Capabilities getCapabilities()
getCapabilities
in interface CapabilitiesHandler
getCapabilities
in class SingleClassifierEnhancer
Capabilities
public void buildClassifier(Instances data) throws java.lang.Exception
buildClassifier
in class Classifier
data
- contains the (multi-class) instancesjava.lang.Exception
- if the building failspublic double[] distributionForInstance(Instance inst) throws java.lang.Exception
distributionForInstance
in class Classifier
inst
- the (multi-class) instance to be classifiedjava.lang.Exception
- if computing failspublic java.lang.String getString(int[] indices)
indices
- the indices to return as stringpublic java.lang.String globalInfo()
public java.lang.String toString()
toString
in class java.lang.Object
public java.lang.String getRevision()
getRevision
in interface RevisionHandler
getRevision
in class Classifier
public static void main(java.lang.String[] argv)
argv
- the options