public class RandomAMRules extends MultiLabelRandomAMRules implements Regressor
baseLearnerOption, ensemble, ensembleSizeOption, errorMeasurer, errorMeasurerOption, featureRanking, featureRankingOption, isRegression, numAttributesPercentageOption, randomSeedOption, useBaggingOption, VerbosityOption, votingFunctionOption, votingTypeOption
classifierRandom, downSampleRatio, modelContext, randomSeed, trainingWeightSeenByModel
config
Constructor and Description |
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RandomAMRules() |
getModelDescription, getModelMeasurementsImpl, getPredictionForInstance, isRandomizable, resetLearningImpl, trainOnInstanceImpl
getPredictionForInstance, getPredictionForInstance, getVotesForInstance, trainOnInstanceImpl
contextIsCompatible, copy, correctlyClassifies, getAttributeNameString, getAWTRenderer, getClassLabelString, getClassNameString, getDescription, getDownSampleRatio, getModel, getModelContext, getModelMeasurements, getNominalValueString, getPurposeString, getSubClassifiers, getSublearners, getVotesForInstance, modelAttIndexToInstanceAttIndex, modelAttIndexToInstanceAttIndex, prepareForUseImpl, resetLearning, setModelContext, setRandomSeed, trainingHasStarted, trainingWeightSeenByModel, trainOnInstance, trainOnInstance, updateDownSampleRatio
getCLICreationString, getOptions, getPreparedClassOption, prepareClassOptions, prepareForUse, prepareForUse
copy, measureByteSize, measureByteSize, toString
clone, equals, finalize, getClass, hashCode, notify, notifyAll, wait, wait, wait
copy, correctlyClassifies, getPredictionForInstance, getSubClassifiers, getVotesForInstance, trainOnInstance
getModel, getModelContext, getModelMeasurements, getPredictionForInstance, getSublearners, getVotesForInstance, resetLearning, setModelContext, setRandomSeed, trainingHasStarted, trainingWeightSeenByModel, trainOnInstance
getCLICreationString, getOptions, getPurposeString, prepareForUse, prepareForUse
getDescription, measureByteSize
getAWTRenderer
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