weka.classifiers.trees.ht

Class InfoGainSplitMetric

java.lang.Object

weka.classifiers.trees.ht.SplitMetric

weka.classifiers.trees.ht.InfoGainSplitMetric

All Implemented Interfaces:

Serializable

public class InfoGainSplitMetric
extends SplitMetric
implements Serializable

Implements the info gain splitting criterion

Version:

$Revision: 9720 $

Author:

Richard Kirkby (rkirkby@cs.waikato.ac.nz), Mark Hall (mhall{[at]}pentaho{[dot]}com)

See Also:

Serialized Form

Constructor Summary

Constructors

Constructor and Description
InfoGainSplitMetric(double minFracWeightForTwoBranches)

Method Summary

Modifier and Type	Method and Description
double	evaluateSplit(Map<String,WeightMass> preDist, List<Map<String,WeightMass>> postDist) Evaluate the merit of a split
double	getMetricRange(Map<String,WeightMass> preDist) Get the range of the splitting metric

Methods inherited from class weka.classifiers.trees.ht.SplitMetric

sum

Methods inherited from class java.lang.Object

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

Constructor Detail

InfoGainSplitMetric

public InfoGainSplitMetric(double minFracWeightForTwoBranches)

Method Detail

evaluateSplit

public double evaluateSplit(Map<String,WeightMass> preDist,
                            List<Map<String,WeightMass>> postDist)

Description copied from class: SplitMetric

Evaluate the merit of a split

Specified by:

evaluateSplit in class SplitMetric

Parameters:

preDist - the class distribution before the split

postDist - the class distributions after the split

Returns:

the merit of the split

getMetricRange

public double getMetricRange(Map<String,WeightMass> preDist)

Description copied from class: SplitMetric

Get the range of the splitting metric

Specified by:

getMetricRange in class SplitMetric

Parameters:

preDist - the pre-split class distribution

Returns:

the range of the splitting metric