Package moa.classifiers.rules
Class AMRulesRegressor
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- All Implemented Interfaces:
Configurable
,Serializable
,CapabilitiesHandler
,Classifier
,MultiLabelLearner
,MultiTargetRegressor
,Regressor
,AWTRenderable
,Learner<Example<Instance>>
,MOAObject
,OptionHandler
public class AMRulesRegressor extends AMRulesMultiTargetRegressor implements Regressor
- See Also:
- Serialized Form
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Field Summary
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Fields inherited from class moa.classifiers.rules.multilabel.AMRulesMultiLabelLearner
anomalyDetector, attributesPercentage, changeDetector, defaultRule, dropOldRuleAfterExpansionOption, errorMeasurerOption, featureRankingOption, gracePeriodOption, inputSelectorOption, learnerOption, nominalObserverOption, numericObserverOption, observer, outputSelectorOption, randomSeedOption, ruleNumberID, ruleSet, splitConfidenceOption, splitCriterionOption, statistics, tieThresholdOption, unorderedRulesOption, VerbosityOption, weightedVoteOption
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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 AMRulesRegressor()
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Method Summary
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Methods inherited from class moa.classifiers.rules.multilabel.AMRulesMultiTargetRegressor
newDefaultRule, newErrorWeightedVote
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Methods inherited from class moa.classifiers.rules.multilabel.AMRulesMultiLabelLearner
debug, defaultRuleErrors, getAttributesPercentage, getAverageInputs, getAverageOutputs, getModelDescription, getModelMeasurementsImpl, getPredictionForInstance, getVotes, isRandomizable, PrintRuleSet, resetLearningImpl, setAttributesPercentage, setObserver, setRandomSeed, setRuleOptions, trainOnInstanceImpl, VerboseToConsole
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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, 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, isRandomizable, 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.classifiers.MultiLabelLearner
getPredictionForInstance, trainOnInstanceImpl
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Methods inherited from interface moa.options.OptionHandler
getCLICreationString, getOptions, getPurposeString, prepareForUse, prepareForUse
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