Package ai.libs.jaicore.ml.core.evaluation.evaluator.factory

Class MonteCarloCrossValidationEvaluatorFactory

java.lang.Object

ai.libs.jaicore.ml.core.evaluation.evaluator.factory.AMonteCarloCrossValidationBasedEvaluatorFactory<MonteCarloCrossValidationEvaluatorFactory>

ai.libs.jaicore.ml.core.evaluation.evaluator.factory.MonteCarloCrossValidationEvaluatorFactory

All Implemented Interfaces:

ISplitBasedSupervisedLearnerEvaluatorFactory<org.api4.java.ai.ml.core.dataset.supervised.ILabeledInstance,org.api4.java.ai.ml.core.dataset.supervised.ILabeledDataset<? extends org.api4.java.ai.ml.core.dataset.supervised.ILabeledInstance>,MonteCarloCrossValidationEvaluatorFactory>, ISupervisedLearnerEvaluatorFactory<org.api4.java.ai.ml.core.dataset.supervised.ILabeledInstance,org.api4.java.ai.ml.core.dataset.supervised.ILabeledDataset<? extends org.api4.java.ai.ml.core.dataset.supervised.ILabeledInstance>>, org.api4.java.ai.ml.core.evaluation.IPredictionPerformanceMetricConfigurable, org.api4.java.ai.ml.core.IDataConfigurable<org.api4.java.ai.ml.core.dataset.supervised.ILabeledDataset<? extends org.api4.java.ai.ml.core.dataset.supervised.ILabeledInstance>>, org.api4.java.common.control.IRandomConfigurable

public class MonteCarloCrossValidationEvaluatorFactory
extends AMonteCarloCrossValidationBasedEvaluatorFactory<MonteCarloCrossValidationEvaluatorFactory>

Factory for configuring standard Monte Carlo cross-validation evaluators. The basic performance measure is always averaged over the different runs.

Field Summary

Fields inherited from class ai.libs.jaicore.ml.core.evaluation.evaluator.factory.AMonteCarloCrossValidationBasedEvaluatorFactory

data, metric, numMCIterations, random

Constructor Summary

Constructors

Constructor	Description
MonteCarloCrossValidationEvaluatorFactory()

Method Summary

Modifier and Type	Method	Description
MonteCarloCrossValidationEvaluator	getLearnerEvaluator()
MonteCarloCrossValidationEvaluatorFactory	getSelf()

Methods inherited from class ai.libs.jaicore.ml.core.evaluation.evaluator.factory.AMonteCarloCrossValidationBasedEvaluatorFactory

getCacheSplitSets, getData, getDatasetSplitter, getMeasure, getMetric, getNumMCIterations, getTimeoutForSolutionEvaluation, getTrainFoldSize, setData, setMeasure, setRandom, withCacheSplitSets, withData, withDatasetSplitter, withMeasure, withNumMCIterations, withRandom, withTimeoutForSolutionEvaluation, withTrainFoldSize

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

getLearnerEvaluator

public MonteCarloCrossValidationEvaluator getLearnerEvaluator()

getSelf

public MonteCarloCrossValidationEvaluatorFactory getSelf()

Specified by:

getSelf in class AMonteCarloCrossValidationBasedEvaluatorFactory<MonteCarloCrossValidationEvaluatorFactory>