edu.udo.cs.yale.operator.learner.meta
Class SDReweightMeasures

java.lang.Object
  edu.udo.cs.yale.operator.learner.meta.WeightedPerformanceMeasures
      edu.udo.cs.yale.operator.learner.meta.SDReweightMeasures

public class SDReweightMeasures
extends WeightedPerformanceMeasures

A set of weighted performance measures used for subgroup discovery.

Version:

$Id: SDReweightMeasures.java,v 1.11 2006/03/21 15:35:48 ingomierswa Exp $

Author:

Martin Scholz

Field Summary

private boolean	additive
private double	gamma

Fields inherited from class edu.udo.cs.yale.operator.learner.meta.WeightedPerformanceMeasures

RULE_DOES_NOT_APPLY

Constructor Summary

SDReweightMeasures(ExampleSet e)

Method Summary

private double	reweightAdd(double w, int timesCovered)
boolean	reweightExamples(ExampleSet exampleSet, int posIndex, int coveredSubset) Overwrites method from super class.
private double	reweightMult(double w)
void	setAdditive(boolean additive)
void	setGamma(double gamma)

Methods inherited from class edu.udo.cs.yale.operator.learner.meta.WeightedPerformanceMeasures

createLiftRatioMatrix, getContingencyMatrix, getCoveredExamplesNumForPred, getLabelPriors, getLift, getNumberOfLabels, getNumberOfNonEmptyClasses, getNumberOfPredictions, getPnRatios, getProbability, getProbabilityLabel, getProbabilityPrediction, reweightExamples

Methods inherited from class java.lang.Object

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

Field Detail

gamma

private double gamma

additive

private boolean additive

Constructor Detail

SDReweightMeasures

public SDReweightMeasures(ExampleSet e)
                   throws OperatorException

Throws:

OperatorException

Method Detail

reweightExamples

public boolean reweightExamples(ExampleSet exampleSet,
                                int posIndex,
                                int coveredSubset)
                         throws OperatorException

Overwrites method from super class. Examples are reweighted by the additive or multiplicative heuristic. After reweighting the class priors are rescaled so that P(pos) = P(neg).

Throws:

OperatorException

reweightAdd

private double reweightAdd(double w,
                           int timesCovered)

reweightMult

private double reweightMult(double w)

setGamma

public void setGamma(double gamma)

setAdditive

public void setAdditive(boolean additive)