Package moa.classifiers.rules.meta
Class RandomAMRules
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Configurable
,Serializable
,CapabilitiesHandler
,Classifier
,MultiLabelLearner
,MultiTargetRegressor
,Regressor
,AWTRenderable
,Learner<Example<Instance>>
,MOAObject
,OptionHandler
public class RandomAMRules extends MultiLabelRandomAMRules implements Regressor
Random AMRules algoritgm that performs analogous procedure as the Random Forest Trees but with Rules- See Also:
- Serialized Form
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Field Summary
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Fields inherited from class moa.classifiers.rules.multilabel.meta.MultiLabelRandomAMRules
baseLearnerOption, ensemble, ensembleSizeOption, errorMeasurer, errorMeasurerOption, featureRanking, featureRankingOption, isRegression, numAttributesPercentageOption, randomSeedOption, useBaggingOption, VerbosityOption, votingFunctionOption, votingTypeOption
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Fields inherited from class moa.classifiers.AbstractClassifier
classifierRandom, modelContext, randomSeed, trainingWeightSeenByModel
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Fields inherited from class moa.options.AbstractOptionHandler
config
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Constructor Summary
Constructors Constructor Description RandomAMRules()
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Method Summary
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Methods inherited from class moa.classifiers.rules.multilabel.meta.MultiLabelRandomAMRules
getModelDescription, getModelMeasurementsImpl, getPredictionForInstance, isRandomizable, resetLearningImpl, trainOnInstanceImpl
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Methods inherited from class moa.classifiers.AbstractMultiLabelLearner
getPredictionForInstance, getPredictionForInstance, getVotesForInstance, trainOnInstanceImpl
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Methods inherited from class moa.classifiers.AbstractClassifier
contextIsCompatible, copy, correctlyClassifies, defineImmutableCapabilities, getAttributeNameString, getAWTRenderer, getClassLabelString, getClassNameString, getDescription, getModel, getModelContext, getModelMeasurements, getNominalValueString, getPurposeString, getSubClassifiers, getSublearners, getVotesForInstance, modelAttIndexToInstanceAttIndex, modelAttIndexToInstanceAttIndex, prepareForUseImpl, resetLearning, setModelContext, setRandomSeed, trainingHasStarted, trainingWeightSeenByModel, trainOnInstance, trainOnInstance
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Methods inherited from class moa.options.AbstractOptionHandler
getCLICreationString, getOptions, getPreparedClassOption, prepareClassOptions, prepareForUse, prepareForUse
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Methods inherited from class moa.AbstractMOAObject
copy, measureByteSize, measureByteSize, toString
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Methods inherited from class java.lang.Object
clone, equals, finalize, getClass, hashCode, notify, notifyAll, wait, wait, wait
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Methods inherited from interface moa.gui.AWTRenderable
getAWTRenderer
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Methods inherited from interface moa.capabilities.CapabilitiesHandler
getCapabilities
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Methods inherited from interface moa.classifiers.Classifier
copy, correctlyClassifies, getPredictionForInstance, getSubClassifiers, getVotesForInstance, trainOnInstance
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Methods inherited from interface moa.learners.Learner
getModel, getModelContext, getModelMeasurements, getPredictionForInstance, getSublearners, getVotesForInstance, resetLearning, setModelContext, setRandomSeed, trainingHasStarted, trainingWeightSeenByModel, trainOnInstance
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Methods inherited from interface moa.MOAObject
getDescription, measureByteSize
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Methods inherited from interface moa.options.OptionHandler
getCLICreationString, getOptions, getPurposeString, prepareForUse, prepareForUse
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