Package weka.classifiers.trees.j48
Class SplitCriterion
- java.lang.Object
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- weka.classifiers.trees.j48.SplitCriterion
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- All Implemented Interfaces:
java.io.Serializable
,RevisionHandler
- Direct Known Subclasses:
EntropyBasedSplitCrit
public abstract class SplitCriterion extends java.lang.Object implements java.io.Serializable, RevisionHandler
Abstract class for computing splitting criteria with respect to distributions of class values.- Version:
- $Revision: 1.8 $
- Author:
- Eibe Frank (eibe@cs.waikato.ac.nz)
- See Also:
- Serialized Form
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Constructor Summary
Constructors Constructor Description SplitCriterion()
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Method Summary
All Methods Instance Methods Concrete Methods Modifier and Type Method Description double
splitCritValue(Distribution bags)
Computes result of splitting criterion for given distribution.double
splitCritValue(Distribution train, Distribution test)
Computes result of splitting criterion for given training and test distributions.double
splitCritValue(Distribution train, Distribution test, int noClassesDefault)
Computes result of splitting criterion for given training and test distributions and given number of classes.double
splitCritValue(Distribution train, Distribution test, Distribution defC)
Computes result of splitting criterion for given training and test distributions and given default distribution.-
Methods inherited from class java.lang.Object
equals, getClass, hashCode, notify, notifyAll, toString, wait, wait, wait
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Methods inherited from interface weka.core.RevisionHandler
getRevision
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Method Detail
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splitCritValue
public double splitCritValue(Distribution bags)
Computes result of splitting criterion for given distribution.- Returns:
- value of splitting criterion. 0 by default
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splitCritValue
public double splitCritValue(Distribution train, Distribution test)
Computes result of splitting criterion for given training and test distributions.- Returns:
- value of splitting criterion. 0 by default
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splitCritValue
public double splitCritValue(Distribution train, Distribution test, int noClassesDefault)
Computes result of splitting criterion for given training and test distributions and given number of classes.- Returns:
- value of splitting criterion. 0 by default
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splitCritValue
public double splitCritValue(Distribution train, Distribution test, Distribution defC)
Computes result of splitting criterion for given training and test distributions and given default distribution.- Returns:
- value of splitting criterion. 0 by default
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