Package ai.libs.jaicore.ml.evaluation.evaluators.weka

Class ProbabilisticMonteCarloCrossValidationEvaluator

java.lang.Object

ai.libs.jaicore.ml.evaluation.evaluators.weka.ProbabilisticMonteCarloCrossValidationEvaluator

All Implemented Interfaces:

ai.libs.jaicore.basic.IInformedObjectEvaluatorExtension<java.lang.Double>, ai.libs.jaicore.basic.ILoggingCustomizable, ai.libs.jaicore.basic.IObjectEvaluator<weka.classifiers.Classifier,java.lang.Double>, IClassifierEvaluator

public class ProbabilisticMonteCarloCrossValidationEvaluator
extends java.lang.Object
implements IClassifierEvaluator, ai.libs.jaicore.basic.IInformedObjectEvaluatorExtension<java.lang.Double>, ai.libs.jaicore.basic.ILoggingCustomizable

A classifier evaluator that can perform a (monte-carlo)cross-validation on the given dataset. Thereby, it uses the AbstractSplitBasedClassifierEvaluator to evaluate the classifier on a random split of the dataset. This probabilistic version can be used to speed up the process by early termination based on a threshold value that has to be beaten by the evaluation. If it is unlikely after the first repeats that this is possible the unfinished, not as precise result will be returned.

Constructor Summary

Constructors

Constructor	Description
ProbabilisticMonteCarloCrossValidationEvaluator(ISplitBasedClassifierEvaluator<java.lang.Double> bridge, IDatasetSplitter datasetSplitter, int repeats, double bestscore, weka.core.Instances data, double trainingPortion, long seed)

Method Summary

Modifier and Type	Method	Description
void	cancel()
java.lang.Double	evaluate(weka.classifiers.Classifier pl)
java.lang.Double	evaluate(weka.classifiers.Classifier pl, org.apache.commons.math3.stat.descriptive.DescriptiveStatistics stats)
ISplitBasedClassifierEvaluator<java.lang.Double>	getBridge()
java.lang.String	getLoggerName()
void	setLoggerName(java.lang.String name)
void	updateBestScore(java.lang.Double bestScore)

Methods inherited from class java.lang.Object

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

Constructor Detail

ProbabilisticMonteCarloCrossValidationEvaluator

public ProbabilisticMonteCarloCrossValidationEvaluator(ISplitBasedClassifierEvaluator<java.lang.Double> bridge,
                                                       IDatasetSplitter datasetSplitter,
                                                       int repeats,
                                                       double bestscore,
                                                       weka.core.Instances data,
                                                       double trainingPortion,
                                                       long seed)

Method Detail

updateBestScore

public void updateBestScore(java.lang.Double bestScore)

Specified by:

updateBestScore in interface ai.libs.jaicore.basic.IInformedObjectEvaluatorExtension<java.lang.Double>

cancel

public void cancel()

evaluate

public java.lang.Double evaluate(weka.classifiers.Classifier pl)
                          throws ai.libs.jaicore.basic.algorithm.exceptions.ObjectEvaluationFailedException,
                                 java.lang.InterruptedException

Specified by:

evaluate in interface ai.libs.jaicore.basic.IObjectEvaluator<weka.classifiers.Classifier,java.lang.Double>

Throws:

ai.libs.jaicore.basic.algorithm.exceptions.ObjectEvaluationFailedException

java.lang.InterruptedException

evaluate

public java.lang.Double evaluate(weka.classifiers.Classifier pl,
                                 org.apache.commons.math3.stat.descriptive.DescriptiveStatistics stats)
                          throws ai.libs.jaicore.basic.algorithm.exceptions.ObjectEvaluationFailedException,
                                 java.lang.InterruptedException

Throws:

ai.libs.jaicore.basic.algorithm.exceptions.ObjectEvaluationFailedException

java.lang.InterruptedException

getBridge

public ISplitBasedClassifierEvaluator<java.lang.Double> getBridge()

getLoggerName

public java.lang.String getLoggerName()

Specified by:

getLoggerName in interface ai.libs.jaicore.basic.ILoggingCustomizable

setLoggerName

public void setLoggerName(java.lang.String name)

Specified by:

setLoggerName in interface ai.libs.jaicore.basic.ILoggingCustomizable