Package moa.classifiers.rules.multilabel.core

Class MultiLabelRuleRegression

java.lang.Object

moa.AbstractMOAObject

moa.classifiers.rules.multilabel.core.ObservableMOAObject

moa.classifiers.rules.multilabel.core.MultiLabelRule

moa.classifiers.rules.multilabel.core.MultiLabelRuleRegression

All Implemented Interfaces:

java.io.Serializable, MOAObject

public class MultiLabelRuleRegression
extends MultiLabelRule

See Also:

Serialized Form

Field Summary

Fields inherited from class moa.classifiers.rules.multilabel.core.MultiLabelRule

instanceInformation, learningLiteral, literalList, otherBranchRule, otherOutputsRule, ruleNumberID

Constructor Summary

Constructors

Constructor	Description
MultiLabelRuleRegression()
MultiLabelRuleRegression(int id)
MultiLabelRuleRegression(LearningLiteralRegression learningLiteral)

Method Summary

Methods inherited from class moa.AbstractMOAObject

copy, copy, measureByteSize, measureByteSize

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

Methods inherited from class java.lang.Object

clone, equals, finalize, getClass, hashCode, notify, notifyAll, wait, wait, wait

Methods inherited from class moa.classifiers.rules.multilabel.core.ObservableMOAObject

notify, notifyAll

Constructor Detail

MultiLabelRuleRegression

public MultiLabelRuleRegression(LearningLiteralRegression learningLiteral)

MultiLabelRuleRegression

public MultiLabelRuleRegression()

MultiLabelRuleRegression

public MultiLabelRuleRegression(int id)