weka.classifiers.trees.j48

Class EntropySplitCrit

java.lang.Object

weka.classifiers.trees.j48.SplitCriterion

weka.classifiers.trees.j48.EntropyBasedSplitCrit

weka.classifiers.trees.j48.EntropySplitCrit

All Implemented Interfaces:

Serializable, RevisionHandler

public final class EntropySplitCrit
extends EntropyBasedSplitCrit

Class for computing the entropy for a given distribution.

Version:

$Revision: 8034 $

Author:

Eibe Frank (eibe@cs.waikato.ac.nz)

See Also:

Serialized Form

Constructor Summary

Constructors

Constructor and Description
EntropySplitCrit()

Method Summary

Methods

Modifier and Type	Method and Description
String	getRevision() Returns the revision string.
double	splitCritValue(Distribution bags) Computes entropy for given distribution.
double	splitCritValue(Distribution train, Distribution test) Computes entropy of test distribution with respect to training distribution.

Methods inherited from class weka.classifiers.trees.j48.EntropyBasedSplitCrit

logFunc, newEnt, oldEnt, splitEnt

Methods inherited from class weka.classifiers.trees.j48.SplitCriterion

splitCritValue, splitCritValue

Methods inherited from class java.lang.Object

equals, getClass, hashCode, notify, notifyAll, toString, wait, wait, wait

Constructor Detail

EntropySplitCrit

public EntropySplitCrit()

Method Detail

splitCritValue

public final double splitCritValue(Distribution bags)

Computes entropy for given distribution.

Overrides:

splitCritValue in class SplitCriterion

Returns:

value of splitting criterion. 0 by default

splitCritValue

public final double splitCritValue(Distribution train,
                    Distribution test)

Computes entropy of test distribution with respect to training distribution.

Overrides:

splitCritValue in class SplitCriterion

Returns:

value of splitting criterion. 0 by default

getRevision

public String getRevision()

Returns the revision string.

Returns:

the revision