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

Class MonteCarloCrossValidationEvaluatorFactory

java.lang.Object

ai.libs.jaicore.ml.evaluation.evaluators.weka.factory.MonteCarloCrossValidationEvaluatorFactory

All Implemented Interfaces:

IClassifierEvaluatorFactory

public class MonteCarloCrossValidationEvaluatorFactory
extends java.lang.Object
implements IClassifierEvaluatorFactory

Constructor Summary

Constructors

Constructor and Description
MonteCarloCrossValidationEvaluatorFactory()

Method Summary

Modifier and Type	Method and Description
weka.core.Instances	getData()
IDatasetSplitter	getDatasetSplitter()
MonteCarloCrossValidationEvaluator	getIClassifierEvaluator(weka.core.Instances dataset, long seed)
int	getNumMCIterations()
int	getSeed()
ISplitBasedClassifierEvaluator<java.lang.Double>	getSplitBasedEvaluator()
int	getTimeoutForSolutionEvaluation()
double	getTrainFoldSize()
MonteCarloCrossValidationEvaluatorFactory	withData(weka.core.Instances data)
MonteCarloCrossValidationEvaluatorFactory	withDatasetSplitter(IDatasetSplitter datasetSplitter)
MonteCarloCrossValidationEvaluatorFactory	withNumMCIterations(int numMCIterations)
MonteCarloCrossValidationEvaluatorFactory	withSeed(int seed)
MonteCarloCrossValidationEvaluatorFactory	withSplitBasedEvaluator(ISplitBasedClassifierEvaluator<java.lang.Double> splitBasedClassifierEvaluator)
MonteCarloCrossValidationEvaluatorFactory	withTimeoutForSolutionEvaluation(int timeoutForSolutionEvaluation)
MonteCarloCrossValidationEvaluatorFactory	withTrainFoldSize(double trainFoldSize)

Methods inherited from class java.lang.Object

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

Constructor Detail

MonteCarloCrossValidationEvaluatorFactory

public MonteCarloCrossValidationEvaluatorFactory()

Method Detail

getDatasetSplitter

public IDatasetSplitter getDatasetSplitter()

getSplitBasedEvaluator

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

getSeed

public int getSeed()

getNumMCIterations

public int getNumMCIterations()

getData

public weka.core.Instances getData()

getTrainFoldSize

public double getTrainFoldSize()

getTimeoutForSolutionEvaluation

public int getTimeoutForSolutionEvaluation()

withDatasetSplitter

public MonteCarloCrossValidationEvaluatorFactory withDatasetSplitter(IDatasetSplitter datasetSplitter)

withSplitBasedEvaluator

public MonteCarloCrossValidationEvaluatorFactory withSplitBasedEvaluator(ISplitBasedClassifierEvaluator<java.lang.Double> splitBasedClassifierEvaluator)

withSeed

public MonteCarloCrossValidationEvaluatorFactory withSeed(int seed)

withNumMCIterations

public MonteCarloCrossValidationEvaluatorFactory withNumMCIterations(int numMCIterations)

withData

public MonteCarloCrossValidationEvaluatorFactory withData(weka.core.Instances data)

withTrainFoldSize

public MonteCarloCrossValidationEvaluatorFactory withTrainFoldSize(double trainFoldSize)

withTimeoutForSolutionEvaluation

public MonteCarloCrossValidationEvaluatorFactory withTimeoutForSolutionEvaluation(int timeoutForSolutionEvaluation)

getIClassifierEvaluator

public MonteCarloCrossValidationEvaluator getIClassifierEvaluator(weka.core.Instances dataset,
                                                                  long seed)

Specified by:

getIClassifierEvaluator in interface IClassifierEvaluatorFactory