Class InfoGainSplitCriterionMultilabel
- java.lang.Object
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- moa.AbstractMOAObject
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- moa.options.AbstractOptionHandler
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- moa.classifiers.core.splitcriteria.InfoGainSplitCriterion
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- moa.classifiers.core.splitcriteria.InfoGainSplitCriterionMultilabel
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- All Implemented Interfaces:
Configurable
,Serializable
,SplitCriterion
,MOAObject
,OptionHandler
public class InfoGainSplitCriterionMultilabel extends InfoGainSplitCriterion
Class for computing splitting criteria using information gain with respect to distributions of class values for Multilabel data. The split criterion is used as a parameter on decision trees and decision stumps.- Version:
- $Revision: 1 $
- Author:
- Richard Kirkby (rkirkby@cs.waikato.ac.nz), Jesse Read (jesse@tsc.uc3m.es)
- See Also:
- Serialized Form
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Field Summary
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Fields inherited from class moa.classifiers.core.splitcriteria.InfoGainSplitCriterion
minBranchFracOption
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Fields inherited from class moa.options.AbstractOptionHandler
config
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Constructor Summary
Constructors Constructor Description InfoGainSplitCriterionMultilabel()
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Method Summary
All Methods Static Methods Concrete Methods Modifier and Type Method Description static double
computeEntropy(double[] dist)
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Methods inherited from class moa.classifiers.core.splitcriteria.InfoGainSplitCriterion
computeEntropy, getDescription, getMeritOfSplit, getRangeOfMerit, numSubsetsGreaterThanFrac, prepareForUseImpl
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Methods inherited from class moa.options.AbstractOptionHandler
copy, getCLICreationString, getOptions, getPreparedClassOption, getPurposeString, prepareClassOptions, prepareForUse, prepareForUse
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Methods inherited from class moa.AbstractMOAObject
copy, measureByteSize, measureByteSize, toString
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Methods inherited from class java.lang.Object
clone, equals, finalize, getClass, hashCode, notify, notifyAll, wait, wait, wait
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Methods inherited from interface moa.MOAObject
measureByteSize
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Methods inherited from interface moa.options.OptionHandler
copy, getCLICreationString, getOptions, getPurposeString, prepareForUse, prepareForUse
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