public class MultiLabelRuleClassification extends MultiLabelRule
instanceInformation, learningLiteral, literalList, otherBranchRule, otherOutputsRule, ruleNumberID
Constructor and Description |
---|
MultiLabelRuleClassification() |
MultiLabelRuleClassification(int id) |
MultiLabelRuleClassification(LearningLiteralClassification 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 MultiLabelRuleClassification(LearningLiteralClassification learningLiteral)
public MultiLabelRuleClassification()
public MultiLabelRuleClassification(int id)
Copyright © 2019 University of Waikato, Hamilton, NZ. All Rights Reserved.