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

Class ProbabilisticMonteCarloCrossValidationEvaluatorFactory

java.lang.Object

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

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

All Implemented Interfaces:

IClassifierEvaluatorFactory

public class ProbabilisticMonteCarloCrossValidationEvaluatorFactory
extends AMonteCarloCrossValidationBasedEvaluatorFactory

Factory for configuring probabilistic Monte Carlo cross-validation evaluators.

Constructor Summary

Constructors

Constructor and Description
ProbabilisticMonteCarloCrossValidationEvaluatorFactory() Standard c'tor.

Method Summary

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

ProbabilisticMonteCarloCrossValidationEvaluatorFactory

public ProbabilisticMonteCarloCrossValidationEvaluatorFactory()

Standard c'tor.

Method Detail

withDatasetSplitter

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