java.io.Serializable
, MOAObject
public class MultiLabelRuleRegression extends MultiLabelRule
instanceInformation, learningLiteral, literalList, otherBranchRule, otherOutputsRule, ruleNumberID
Constructor | Description |
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MultiLabelRuleRegression() |
|
MultiLabelRuleRegression(int id) |
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MultiLabelRuleRegression(LearningLiteralRegression learningLiteral) |
copy, copy, measureByteSize, measureByteSize
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
clone, equals, finalize, getClass, hashCode, notify, notifyAll, wait, wait, wait
notify, notifyAll
public MultiLabelRuleRegression(LearningLiteralRegression learningLiteral)
public MultiLabelRuleRegression()
public MultiLabelRuleRegression(int id)
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