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

Class MonteCarloCrossValidationEvaluatorFactory

java.lang.Object

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

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

All Implemented Interfaces:

IClassifierEvaluatorFactory

public class MonteCarloCrossValidationEvaluatorFactory
extends AMonteCarloCrossValidationBasedEvaluatorFactory

Factory for configuring standard Monte Carlo cross-validation evaluators.

Constructor Summary

Constructors

Constructor and Description
MonteCarloCrossValidationEvaluatorFactory() Standard C'tor.

Method Summary

Modifier and Type	Method and Description
MonteCarloCrossValidationEvaluator	getIClassifierEvaluator(weka.core.Instances dataset, long seed)
MonteCarloCrossValidationEvaluatorFactory	withData(weka.core.Instances data) Configures the dataset which is split into train and test data.
MonteCarloCrossValidationEvaluatorFactory	withDatasetSplitter(IDatasetSplitter datasetSplitter) Configures the evaluator to use the given dataset splitter.
MonteCarloCrossValidationEvaluatorFactory	withNumMCIterations(int numMCIterations) Configures the number of monte carlo cross-validation iterations.
MonteCarloCrossValidationEvaluatorFactory	withSeed(int seed) Configures the evaluator to use the given random seed.
MonteCarloCrossValidationEvaluatorFactory	withSplitBasedEvaluator(ISplitBasedClassifierEvaluator<java.lang.Double> splitBasedClassifierEvaluator) Configures the evaluator to use the given classifier evaluator.
MonteCarloCrossValidationEvaluatorFactory	withTimeoutForSolutionEvaluation(int timeoutForSolutionEvaluation) Configures a timeout for evaluating a solution.
MonteCarloCrossValidationEvaluatorFactory	withTrainFoldSize(double trainFoldSize) Configures the portion of the training data relative to the entire dataset size.

Methods inherited from class ai.libs.jaicore.ml.evaluation.evaluators.weka.factory.AMonteCarloCrossValidationBasedEvaluatorFactory

getData, getDatasetSplitter, getNumMCIterations, getSeed, getSplitBasedEvaluator, getTimeoutForSolutionEvaluation, getTrainFoldSize

Methods inherited from class java.lang.Object

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

Constructor Detail

MonteCarloCrossValidationEvaluatorFactory

public MonteCarloCrossValidationEvaluatorFactory()

Standard C'tor.

Method Detail

withDatasetSplitter

public MonteCarloCrossValidationEvaluatorFactory withDatasetSplitter(IDatasetSplitter datasetSplitter)

Description copied from class: AMonteCarloCrossValidationBasedEvaluatorFactory

Configures the evaluator to use the given dataset splitter.

Overrides:

withDatasetSplitter in class AMonteCarloCrossValidationBasedEvaluatorFactory

Parameters:

datasetSplitter - The dataset splitter to be used.

Returns:

The factory object.

withSplitBasedEvaluator

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

Description copied from class: AMonteCarloCrossValidationBasedEvaluatorFactory

Configures the evaluator to use the given classifier evaluator.

Overrides:

withSplitBasedEvaluator in class AMonteCarloCrossValidationBasedEvaluatorFactory

Parameters:

splitBasedClassifierEvaluator - The classifier evaluator to be used.

Returns:

The factory object.

withSeed

public MonteCarloCrossValidationEvaluatorFactory withSeed(int seed)

Description copied from class: AMonteCarloCrossValidationBasedEvaluatorFactory

Configures the evaluator to use the given random seed.

Overrides:

withSeed in class AMonteCarloCrossValidationBasedEvaluatorFactory

Parameters:

seed - The seed to be used for pseudo-randomization.

Returns:

The factory object.

withNumMCIterations

public MonteCarloCrossValidationEvaluatorFactory withNumMCIterations(int numMCIterations)

Description copied from class: AMonteCarloCrossValidationBasedEvaluatorFactory

Configures the number of monte carlo cross-validation iterations.

Overrides:

withNumMCIterations in class AMonteCarloCrossValidationBasedEvaluatorFactory

Parameters:

numMCIterations - The number of iterations to run.

Returns:

The factory object.

withData

public MonteCarloCrossValidationEvaluatorFactory withData(weka.core.Instances data)

Description copied from class: AMonteCarloCrossValidationBasedEvaluatorFactory

Configures the dataset which is split into train and test data.

Overrides:

withData in class AMonteCarloCrossValidationBasedEvaluatorFactory

Parameters:

data - The dataset to be split.

Returns:

The factory object.

withTrainFoldSize

public MonteCarloCrossValidationEvaluatorFactory withTrainFoldSize(double trainFoldSize)

Description copied from class: AMonteCarloCrossValidationBasedEvaluatorFactory

Configures the portion of the training data relative to the entire dataset size.

Overrides:

withTrainFoldSize in class AMonteCarloCrossValidationBasedEvaluatorFactory

Parameters:

trainFoldSize - The size of the training fold (0,1).

Returns:

The factory object.

withTimeoutForSolutionEvaluation

public MonteCarloCrossValidationEvaluatorFactory withTimeoutForSolutionEvaluation(int timeoutForSolutionEvaluation)

Description copied from class: AMonteCarloCrossValidationBasedEvaluatorFactory

Configures a timeout for evaluating a solution.

Overrides:

withTimeoutForSolutionEvaluation in class AMonteCarloCrossValidationBasedEvaluatorFactory

Parameters:

timeoutForSolutionEvaluation - The timeout for evaluating a solution.

Returns:

The factory object.

getIClassifierEvaluator

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