public class AMRulesMultiTargetRegressorSemiSuper extends AMRulesMultiLabelLearnerSemiSuper implements MultiTargetLearnerSemiSupervised
anomalyDetector, anomalyDetector2, attributesPercentage, changeDetector, defaultRule, dropOldRuleAfterExpansionOption, errorMeasurerOption, featureRankingOption, gracePeriodOption, hasModel, inputSelectorOption, learnerOption, nominalObserverOption, numberTotalExamples, numericObserverOption, observer, outputSelectorOption, prediction, randomSeedOption, ruleNumberID, ruleSet, scoreThreshold, slidingWindowSize, slidingWindowStep, splitConfidenceOption, splitCriterionOption, statistics, tieThresholdOption, unorderedRulesOption, VerbosityOption, weightedVoteOption
classifierRandom, modelContext, randomSeed, trainingWeightSeenByModel
config
Constructor and Description |
---|
AMRulesMultiTargetRegressorSemiSuper() |
AMRulesMultiTargetRegressorSemiSuper(double attributesPercentage) |
Modifier and Type | Method and Description |
---|---|
String |
getPurposeString()
Dictionary with option texts and objects
|
protected MultiLabelRule |
newDefaultRule() |
debug, defaultRuleErrors, getAttributesPercentage, getAverageInputs, getAverageOutputs, getModelDescription, getModelMeasurementsImpl, getPredictionForInstance, getTrainingPrediction, getVotes, isRandomizable, newErrorWeightedVote, PrintRuleSet, resetLearningImpl, setAttributesPercentage, setObserver, setRandomSeed, setRuleOptions, trainOnInstanceImpl, VerboseToConsole
getPredictionForInstance, getPredictionForInstance, getVotesForInstance, trainOnInstanceImpl
contextIsCompatible, copy, correctlyClassifies, getAttributeNameString, getAWTRenderer, getClassLabelString, getClassNameString, getDescription, getModel, getModelContext, getModelMeasurements, getNominalValueString, getSubClassifiers, getSublearners, getVotesForInstance, modelAttIndexToInstanceAttIndex, modelAttIndexToInstanceAttIndex, prepareForUseImpl, resetLearning, setModelContext, trainingHasStarted, trainingWeightSeenByModel, trainOnInstance, trainOnInstance
getCLICreationString, getOptions, getPreparedClassOption, prepareClassOptions, prepareForUse, prepareForUse
copy, measureByteSize, measureByteSize, toString
clone, equals, finalize, getClass, hashCode, notify, notifyAll, wait, wait, wait
getPredictionForInstance, getTrainingPrediction, trainOnInstanceImpl
copy, correctlyClassifies, getPredictionForInstance, getSubClassifiers, getVotesForInstance, trainOnInstance
getModel, getModelContext, getModelMeasurements, getPredictionForInstance, getSublearners, getVotesForInstance, isRandomizable, resetLearning, setModelContext, setRandomSeed, trainingHasStarted, trainingWeightSeenByModel, trainOnInstance
getCLICreationString, getOptions, prepareForUse, prepareForUse
getDescription, measureByteSize
getAWTRenderer
public AMRulesMultiTargetRegressorSemiSuper()
public AMRulesMultiTargetRegressorSemiSuper(double attributesPercentage)
public String getPurposeString()
AbstractOptionHandler
getPurposeString
in interface OptionHandler
getPurposeString
in class AbstractClassifier
protected MultiLabelRule newDefaultRule()
newDefaultRule
in class AMRulesMultiLabelLearnerSemiSuper
Copyright © 2019 University of Waikato, Hamilton, NZ. All Rights Reserved.