Class MultiLabelRuleRegression
- java.lang.Object
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- moa.AbstractMOAObject
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- moa.classifiers.rules.multilabel.core.ObservableMOAObject
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- moa.classifiers.rules.multilabel.core.MultiLabelRule
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- moa.classifiers.rules.multilabel.core.MultiLabelRuleRegression
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- All Implemented Interfaces:
Serializable
,MOAObject
public class MultiLabelRuleRegression extends MultiLabelRule
- See Also:
- Serialized Form
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Field Summary
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Fields inherited from class moa.classifiers.rules.multilabel.core.MultiLabelRule
instanceInformation, learningLiteral, literalList, otherBranchRule, otherOutputsRule, ruleNumberID
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Constructor Summary
Constructors Constructor Description MultiLabelRuleRegression()
MultiLabelRuleRegression(int id)
MultiLabelRuleRegression(LearningLiteralRegression learningLiteral)
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Method Summary
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Methods inherited from class moa.classifiers.rules.multilabel.core.MultiLabelRule
addObserver, clearOtherOutputs, getAnomalyScore, getCurrentErrors, getDescription, getInputsCovered, getLearningNode, getLiterals, getNewRuleFromOtherBranch, getNewRuleFromOtherOutputs, getOutputsCovered, getPredictionForInstance, getRuleNumberID, getStaticOutput, getWeightSeenSinceExpansion, hasNewRuleFromOtherOutputs, isCovering, setAnomalyDetector, setAttributesPercentage, setChangeDetector, setErrorMeasurer, setInputAttributesSelector, setInstanceTransformer, setLearner, setNominalObserverOption, setNumericObserverOption, setOutputAttributesSelector, setRandomGenerator, setRuleNumberID, setSplitCriterion, toString, trainOnInstance, tryToExpand, updateAnomalyDetection, updateChangeDetection
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Methods inherited from class moa.classifiers.rules.multilabel.core.ObservableMOAObject
notify, notifyAll
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Methods inherited from class moa.AbstractMOAObject
copy, copy, measureByteSize, measureByteSize
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Constructor Detail
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MultiLabelRuleRegression
public MultiLabelRuleRegression(LearningLiteralRegression learningLiteral)
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MultiLabelRuleRegression
public MultiLabelRuleRegression()
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MultiLabelRuleRegression
public MultiLabelRuleRegression(int id)
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