net.sf.myra.datamining.function
Class ConfidenceCoverageFunction

java.lang.Object
  extended by net.sf.myra.datamining.AbstractObjectiveFunction
      extended by net.sf.myra.datamining.function.ConfidenceCoverageFunction
All Implemented Interfaces:
net.sf.myra.framework.ObjectiveFunction

public class ConfidenceCoverageFunction
extends AbstractObjectiveFunction

This class implements the confidence + coverage rule evaluation function.

Author:
Fernando Esteban Barril Otero

Constructor Summary
ConfidenceCoverageFunction(Dataset dataset)
          Creates a new ConfidenceCoverageFunction instance.
 
Method Summary
 net.sf.myra.framework.Cost evaluate(net.sf.myra.framework.Trail trail)
           
 
Methods inherited from class net.sf.myra.datamining.AbstractObjectiveFunction
getDataset, setDataset
 
Methods inherited from class java.lang.Object
clone, equals, finalize, getClass, hashCode, notify, notifyAll, toString, wait, wait, wait
 

Constructor Detail

ConfidenceCoverageFunction

public ConfidenceCoverageFunction(Dataset dataset)
Creates a new ConfidenceCoverageFunction instance.

Parameters:
dataset - the dataset reference.
Method Detail

evaluate

public net.sf.myra.framework.Cost evaluate(net.sf.myra.framework.Trail trail)


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