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:

java.io.Serializable

public final class EntropySplitCrit

extends EntropyBasedSplitCrit

Class for computing the entropy for a given distribution.

Version:

$Revision: 1.5 $

Author:

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

See Also:

Serialized Form

Field Summary

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

log2

Constructor Summary

EntropySplitCrit()

Method Summary

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

clone, equals, finalize, 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