Package ai.libs.mlplan.multiclass.wekamlplan

Class MLPlanWekaBuilder

java.lang.Object

ai.libs.mlplan.core.AMLPlanBuilder<ai.libs.jaicore.ml.weka.classification.learner.IWekaClassifier,MLPlanWekaBuilder>

ai.libs.mlplan.multiclass.wekamlplan.MLPlanWekaBuilder

All Implemented Interfaces:

ai.libs.mlplan.core.IMLPlanBuilder<ai.libs.jaicore.ml.weka.classification.learner.IWekaClassifier,MLPlanWekaBuilder>, org.api4.java.common.control.ILoggingCustomizable

public class MLPlanWekaBuilder
extends ai.libs.mlplan.core.AMLPlanBuilder<ai.libs.jaicore.ml.weka.classification.learner.IWekaClassifier,MLPlanWekaBuilder>

Constructor Summary

Constructors

Constructor	Description
MLPlanWekaBuilder()
MLPlanWekaBuilder(EMLPlanWekaProblemType problemType)

Method Summary

Modifier and Type	Method	Description
MLPlan4Weka	build()
static MLPlanWekaBuilder	forClassification()
static MLPlanWekaBuilder	forClassificationWithTinySearchSpace()
static MLPlanWekaBuilder	forRegression()
MLPlanWekaBuilder	getSelf()
MLPlanWekaBuilder	withDataset(org.api4.java.ai.ml.core.dataset.supervised.ILabeledDataset<?> dataset)
void	withLearningCurveExtrapolationEvaluation(int[] anchorpoints, ai.libs.jaicore.ml.core.filter.sampling.inmemory.factories.interfaces.ISamplingAlgorithmFactory<org.api4.java.ai.ml.core.dataset.supervised.ILabeledDataset<?>,? extends ai.libs.jaicore.ml.core.filter.sampling.inmemory.ASamplingAlgorithm<org.api4.java.ai.ml.core.dataset.supervised.ILabeledDataset<?>>> subsamplingAlgorithmFactory, double trainSplitForAnchorpointsMeasurement, ai.libs.jaicore.ml.functionprediction.learner.learningcurveextrapolation.LearningCurveExtrapolationMethod extrapolationMethod)	Allows to use learning curve extrapolation for predicting the quality of candidate solutions.

Methods inherited from class ai.libs.mlplan.core.AMLPlanBuilder

build, checkPreconditionsForInitialization, getAlgorithmConfig, getCandidateEvaluationTimeOut, getComponentParameterConfigurations, getComponents, getDataset, getHASCOFactory, getLearnerEvaluationFactoryForSearchPhase, getLearnerEvaluationFactoryForSelectionPhase, getLearnerFactory, getLoggerName, getMetricForSearchPhase, getMetricForSelectionPhase, getNodeEvaluationTimeOut, getPipelineValidityCheckingNodeEvaluator, getPortionOfDataReservedForSelectionPhase, getPreferredComponents, getPreferredNodeEvaluators, getRequestedInterface, getSafeGuardFactory, getSearchEvaluatorFactory, getSearchSelectionDatasetSplitter, getSearchSpaceConfigFile, getSelectionEvaluatorFactory, getTimeOut, getTimeoutPrecautionOffsetInSeconds, setLoggerName, withAlgorithmConfig, withAlgorithmConfigFile, withCandidateEvaluationTimeOut, withDatasetSplitterForSearchSelectionSplit, withLearnerFactory, withMCCVBasedCandidateEvaluationInSearchPhase, withMCCVBasedCandidateEvaluationInSelectionPhase, withNodeEvaluationTimeOut, withNumCpus, withPerformanceMeasure, withPerformanceMeasureForSearchPhase, withPerformanceMeasureForSelectionPhase, withPipelineValidityCheckingNodeEvaluator, withPortionOfDataReservedForSelection, withPreferredComponents, withPreferredComponentsFile, withPreferredNodeEvaluator, withProblemType, withRequestedInterface, withSafeGuardFactory, withSearchFactory, withSearchPhaseEvaluatorFactory, withSearchSpaceConfigFile, withSeed, withSelectionPhaseEvaluatorFactory, withTimeOut, withTimeoutPrecautionOffsetInSeconds

Methods inherited from class java.lang.Object

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

Constructor Detail

MLPlanWekaBuilder

public MLPlanWekaBuilder()
                  throws java.io.IOException

Throws:

java.io.IOException

MLPlanWekaBuilder

public MLPlanWekaBuilder(EMLPlanWekaProblemType problemType)
                  throws java.io.IOException

Throws:

java.io.IOException

Method Detail

forClassification

public static MLPlanWekaBuilder forClassification()
                                           throws java.io.IOException

Throws:

java.io.IOException

forRegression

public static MLPlanWekaBuilder forRegression()
                                       throws java.io.IOException

Throws:

java.io.IOException

forClassificationWithTinySearchSpace

public static MLPlanWekaBuilder forClassificationWithTinySearchSpace()
                                                              throws java.io.IOException

Throws:

java.io.IOException

withLearningCurveExtrapolationEvaluation

public void withLearningCurveExtrapolationEvaluation(int[] anchorpoints,
                                                     ai.libs.jaicore.ml.core.filter.sampling.inmemory.factories.interfaces.ISamplingAlgorithmFactory<org.api4.java.ai.ml.core.dataset.supervised.ILabeledDataset<?>,? extends ai.libs.jaicore.ml.core.filter.sampling.inmemory.ASamplingAlgorithm<org.api4.java.ai.ml.core.dataset.supervised.ILabeledDataset<?>>> subsamplingAlgorithmFactory,
                                                     double trainSplitForAnchorpointsMeasurement,
                                                     ai.libs.jaicore.ml.functionprediction.learner.learningcurveextrapolation.LearningCurveExtrapolationMethod extrapolationMethod)

Allows to use learning curve extrapolation for predicting the quality of candidate solutions.

Parameters:

anchorpoints - The anchor points for which samples are actually evaluated on the respective data.

subsamplingAlgorithmFactory - The factory for the sampling algorithm that is to be used to randomly draw training instances.

trainSplitForAnchorpointsMeasurement - The training fold size for measuring the acnhorpoints.

extrapolationMethod - The method to be used in order to extrapolate the learning curve from the anchorpoints.

withDataset

public MLPlanWekaBuilder withDataset(org.api4.java.ai.ml.core.dataset.supervised.ILabeledDataset<?> dataset)

Overrides:

withDataset in class ai.libs.mlplan.core.AMLPlanBuilder<ai.libs.jaicore.ml.weka.classification.learner.IWekaClassifier,MLPlanWekaBuilder>

getSelf

public MLPlanWekaBuilder getSelf()

build

public MLPlan4Weka build()

Overrides:

build in class ai.libs.mlplan.core.AMLPlanBuilder<ai.libs.jaicore.ml.weka.classification.learner.IWekaClassifier,MLPlanWekaBuilder>