public class MultiLabelRuleRegression extends MultiLabelRule
instanceInformation, learningLiteral, literalList, otherBranchRule, otherOutputsRule, ruleNumberID
Constructor and Description |
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MultiLabelRuleRegression() |
MultiLabelRuleRegression(int id) |
MultiLabelRuleRegression(LearningLiteralRegression learningLiteral) |
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
notify, notifyAll
copy, copy, measureByteSize, measureByteSize
public MultiLabelRuleRegression(LearningLiteralRegression learningLiteral)
public MultiLabelRuleRegression()
public MultiLabelRuleRegression(int id)
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