Uses of Class
moa.options.ClassOption
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Uses of ClassOption in com.github.javacliparser.gui
Fields in com.github.javacliparser.gui declared as ClassOption Modifier and Type Field Description protected ClassOption
ClassOptionEditComponent. editedOption
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Uses of ClassOption in moa.classifiers.active
Fields in moa.classifiers.active declared as ClassOption Modifier and Type Field Description ClassOption
ALRandom. baseLearnerOption
ClassOption
ALUncertainty. baseLearnerOption
ClassOption
ALRandom. budgetManagerOption
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Uses of ClassOption in moa.classifiers.drift
Fields in moa.classifiers.drift declared as ClassOption Modifier and Type Field Description ClassOption
DriftDetectionMethodClassifier. baseLearnerOption
ClassOption
DriftDetectionMethodClassifier. driftDetectionMethodOption
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Uses of ClassOption in moa.classifiers.meta
Fields in moa.classifiers.meta declared as ClassOption Modifier and Type Field Description ClassOption
ADOB. baseLearnerOption
ClassOption
BOLE. baseLearnerOption
ClassOption
DynamicWeightedMajority. baseLearnerOption
ClassOption
LearnNSE. baseLearnerOption
ClassOption
LeveragingBag. baseLearnerOption
ClassOption
LimAttClassifier. baseLearnerOption
ClassOption
OCBoost. baseLearnerOption
ClassOption
OnlineSmoothBoost. baseLearnerOption
ClassOption
OzaBag. baseLearnerOption
ClassOption
OzaBagAdwin. baseLearnerOption
ClassOption
OzaBagASHT. baseLearnerOption
ClassOption
OzaBoost. baseLearnerOption
ClassOption
OzaBoostAdwin. baseLearnerOption
ClassOption
RandomRules. baseLearnerOption
ClassOption
StreamingGradientBoostedTrees. baseLearnerOption
ClassOption
StreamingRandomPatches. baseLearnerOption
ClassOption
TemporallyAugmentedClassifier. baseLearnerOption
ClassOption
AdaptiveRandomForest. driftDetectionMethodOption
ClassOption
AdaptiveRandomForestRegressor. driftDetectionMethodOption
ClassOption
SelfOptimisingKNearestLeaves. driftDetectionMethodOption
ClassOption
StreamingRandomPatches. driftDetectionMethodOption
protected ClassOption
AdaptiveRandomForest.ARFBaseLearner. driftOption
protected ClassOption
AdaptiveRandomForestRegressor.ARFFIMTDDBaseLearner. driftOption
protected ClassOption
SelfOptimisingKNearestLeaves.SelfOptimisingKNearestLeavesBaseLearner. driftOption
protected ClassOption
StreamingRandomPatches.StreamingRandomPatchesClassifier. driftOption
ClassOption
AccuracyUpdatedEnsemble. learnerOption
Type of classifier to use as a component classifier.ClassOption
AccuracyWeightedEnsemble. learnerOption
Type of classifier to use as a component classifier.ClassOption
DACC. learnerOption
Base classifierClassOption
OnlineAccuracyUpdatedEnsemble. learnerOption
Type of classifier to use as a component classifier.ClassOption
PairedLearners. reactiveLearnerOption
ClassOption
MLCviaMTR. regressorOption
ClassOption
PairedLearners. stableLearnerOption
ClassOption
RCD. statisticalTestOption
ClassOption
AdaptiveRandomForest. treeLearnerOption
ClassOption
AdaptiveRandomForestRegressor. treeLearnerOption
ClassOption
SelfOptimisingKNearestLeaves. treeLearnerOption
ClassOption
AdaptiveRandomForest. warningDetectionMethodOption
ClassOption
AdaptiveRandomForestRegressor. warningDetectionMethodOption
ClassOption
SelfOptimisingKNearestLeaves. warningDetectionMethodOption
ClassOption
StreamingRandomPatches. warningDetectionMethodOption
protected ClassOption
AdaptiveRandomForest.ARFBaseLearner. warningOption
protected ClassOption
AdaptiveRandomForestRegressor.ARFFIMTDDBaseLearner. warningOption
protected ClassOption
SelfOptimisingKNearestLeaves.SelfOptimisingKNearestLeavesBaseLearner. warningOption
protected ClassOption
StreamingRandomPatches.StreamingRandomPatchesClassifier. warningOption
Constructors in moa.classifiers.meta with parameters of type ClassOption Constructor Description ARFBaseLearner(int indexOriginal, ARFHoeffdingTree instantiatedClassifier, BasicClassificationPerformanceEvaluator evaluatorInstantiated, long instancesSeen, boolean useBkgLearner, boolean useDriftDetector, ClassOption driftOption, ClassOption warningOption, boolean isBackgroundLearner)
ARFFIMTDDBaseLearner(int indexOriginal, ARFFIMTDD instantiatedClassifier, BasicRegressionPerformanceEvaluator evaluatorInstantiated, long instancesSeen, boolean useBkgLearner, boolean useDriftDetector, ClassOption driftOption, ClassOption warningOption, boolean isBackgroundLearner)
SelfOptimisingKNearestLeavesBaseLearner(int indexOriginal, SelfOptimisingBaseTree instantiatedClassifier, BasicRegressionPerformanceEvaluator evaluatorInstantiated, long instancesSeen, boolean useBkgLearner, boolean useDriftDetector, ClassOption driftOption, ClassOption warningOption, boolean isBackgroundLearner, Random random)
StreamingRandomPatchesClassifier(int indexOriginal, Classifier instantiatedClassifier, BasicClassificationPerformanceEvaluator evaluatorInstantiated, long instancesSeen, boolean disableBkgLearner, boolean disableDriftDetector, ClassOption driftOption, ClassOption warningOption, boolean isBackgroundLearner)
StreamingRandomPatchesClassifier(int indexOriginal, Classifier instantiatedClassifier, BasicClassificationPerformanceEvaluator evaluatorInstantiated, long instancesSeen, boolean disableBkgLearner, boolean disableDriftDetector, ClassOption driftOption, ClassOption warningOption, ArrayList<Integer> featuresIndexes, Instance instance, boolean isBackgroundLearner)
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Uses of ClassOption in moa.classifiers.meta.imbalanced
Fields in moa.classifiers.meta.imbalanced declared as ClassOption Modifier and Type Field Description ClassOption
CSMOTE. baseLearnerOption
ClassOption
OnlineAdaBoost. baseLearnerOption
ClassOption
OnlineAdaC2. baseLearnerOption
ClassOption
OnlineCSB2. baseLearnerOption
ClassOption
OnlineRUSBoost. baseLearnerOption
ClassOption
OnlineSMOTEBagging. baseLearnerOption
ClassOption
OnlineUnderOverBagging. baseLearnerOption
ClassOption
RebalanceStream. baseLearnerOption
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Uses of ClassOption in moa.classifiers.multitarget
Fields in moa.classifiers.multitarget declared as ClassOption Modifier and Type Field Description ClassOption
BasicMultiLabelLearner. baseLearnerOption
ClassOption
BasicMultiTargetRegressor. baseLearnerOption
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Uses of ClassOption in moa.classifiers.rules
Fields in moa.classifiers.rules declared as ClassOption Modifier and Type Field Description ClassOption
BinaryClassifierFromRegressor. baseLearnerOption
ClassOption
AbstractAMRules. numericObserverOption
ClassOption
AMRulesRegressorOld. splitCriterionOption
ClassOption
AMRulesRegressorOld. votingTypeOption
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Uses of ClassOption in moa.classifiers.rules.core.anomalydetection
Fields in moa.classifiers.rules.core.anomalydetection declared as ClassOption Modifier and Type Field Description ClassOption
AnomalinessRatioScore. probabilityFunctionOption
ClassOption
OddsRatioScore. probabilityFunctionOption
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Uses of ClassOption in moa.classifiers.rules.functions
Fields in moa.classifiers.rules.functions declared as ClassOption Modifier and Type Field Description ClassOption
LowPassFilteredLearner. baseLearnerOption
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Uses of ClassOption in moa.classifiers.rules.meta
Fields in moa.classifiers.rules.meta declared as ClassOption Modifier and Type Field Description ClassOption
RandomAMRulesOld. baseLearnerOption
ClassOption
RandomAMRulesOld. votingFunctionOption
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Uses of ClassOption in moa.classifiers.rules.multilabel
Fields in moa.classifiers.rules.multilabel declared as ClassOption Modifier and Type Field Description ClassOption
AMRulesMultiLabelLearner. anomalyDetector
ClassOption
AMRulesMultiLabelLearnerSemiSuper. anomalyDetector
ClassOption
AMRulesMultiLabelLearner. changeDetector
ClassOption
AMRulesMultiLabelLearnerSemiSuper. changeDetector
ClassOption
AMRulesMultiLabelLearner. errorMeasurerOption
ClassOption
AMRulesMultiLabelLearnerSemiSuper. errorMeasurerOption
ClassOption
AMRulesMultiLabelLearner. featureRankingOption
ClassOption
AMRulesMultiLabelLearnerSemiSuper. featureRankingOption
ClassOption
AMRulesMultiLabelLearner. inputSelectorOption
ClassOption
AMRulesMultiLabelLearnerSemiSuper. inputSelectorOption
ClassOption
AMRulesMultiLabelLearner. learnerOption
ClassOption
AMRulesMultiLabelLearnerSemiSuper. learnerOption
ClassOption
AMRulesMultiLabelLearner. nominalObserverOption
ClassOption
AMRulesMultiLabelLearnerSemiSuper. nominalObserverOption
ClassOption
AMRulesMultiLabelLearner. numericObserverOption
ClassOption
AMRulesMultiLabelLearnerSemiSuper. numericObserverOption
ClassOption
AMRulesMultiLabelLearner. outputSelectorOption
ClassOption
AMRulesMultiLabelLearnerSemiSuper. outputSelectorOption
ClassOption
AMRulesMultiLabelLearner. splitCriterionOption
ClassOption
AMRulesMultiLabelLearnerSemiSuper. splitCriterionOption
ClassOption
AMRulesMultiLabelLearner. weightedVoteOption
ClassOption
AMRulesMultiLabelLearnerSemiSuper. weightedVoteOption
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Uses of ClassOption in moa.classifiers.rules.multilabel.functions
Fields in moa.classifiers.rules.multilabel.functions declared as ClassOption Modifier and Type Field Description ClassOption
AdaptiveMultiTargetRegressor. baseLearnerOption1
ClassOption
AdaptiveMultiTargetRegressor. baseLearnerOption2
ClassOption
AdaptiveMultiTargetRegressor. errorMeasurerOption
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Uses of ClassOption in moa.classifiers.rules.multilabel.meta
Fields in moa.classifiers.rules.multilabel.meta declared as ClassOption Modifier and Type Field Description ClassOption
MultiLabelRandomAMRules. baseLearnerOption
ClassOption
MultiLabelRandomAMRules. errorMeasurerOption
ClassOption
MultiLabelRandomAMRules. featureRankingOption
ClassOption
MultiLabelRandomAMRules. votingFunctionOption
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Uses of ClassOption in moa.classifiers.trees
Fields in moa.classifiers.trees declared as ClassOption Modifier and Type Field Description ClassOption
HoeffdingTreeClassifLeaves. learnerOption
ClassOption
HoeffdingAdaptiveTreeClassifLeaves. leaveLearnerOption
ClassOption
EFDT. nominalEstimatorOption
ClassOption
HoeffdingOptionTree. nominalEstimatorOption
ClassOption
HoeffdingTree. nominalEstimatorOption
ClassOption
EFDT. numericEstimatorOption
ClassOption
HoeffdingOptionTree. numericEstimatorOption
ClassOption
HoeffdingTree. numericEstimatorOption
ClassOption
ARFFIMTDD. splitCriterionOption
ClassOption
DecisionStump. splitCriterionOption
ClassOption
EFDT. splitCriterionOption
ClassOption
FIMTDD. splitCriterionOption
ClassOption
HoeffdingOptionTree. splitCriterionOption
ClassOption
HoeffdingTree. splitCriterionOption
ClassOption
SelfOptimisingBaseTree. splitCriterionOption
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Uses of ClassOption in moa.classifiers.trees.iadem
Fields in moa.classifiers.trees.iadem declared as ClassOption Modifier and Type Field Description ClassOption
Iadem2. driftDetectionMethodOption
ClassOption
Iadem2. numericEstimatorOption
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Uses of ClassOption in moa.gui.experimentertab.tasks
Fields in moa.gui.experimentertab.tasks declared as ClassOption Modifier and Type Field Description ClassOption
EvaluateConceptDrift. evaluatorOption
ClassOption
EvaluateInterleavedChunks. evaluatorOption
Allows to select the classifier performance evaluation method.ClassOption
EvaluateInterleavedTestThenTrain. evaluatorOption
ClassOption
EvaluatePeriodicHeldOutTest. evaluatorOption
ClassOption
EvaluatePrequential. evaluatorOption
ClassOption
EvaluatePrequentialCV. evaluatorOption
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Uses of ClassOption in moa.learners
Fields in moa.learners declared as ClassOption Modifier and Type Field Description ClassOption
ChangeDetectorLearner. driftDetectionMethodOption
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Uses of ClassOption in moa.learners.featureanalysis
Fields in moa.learners.featureanalysis declared as ClassOption Modifier and Type Field Description ClassOption
FeatureImportanceHoeffdingTreeEnsemble. ensembleLearnerOption
ClassOption
ClassifierWithFeatureImportance. featureImportanceLearnerOption
ClassOption
FeatureImportanceHoeffdingTreeEnsemble. hoeffdingTreeFeatureImportanceOption
ClassOption
FeatureImportanceHoeffdingTree. treeLearnerOption
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Uses of ClassOption in moa.options
Subclasses of ClassOption in moa.options Modifier and Type Class Description class
ClassOptionWithListenerOption
ClassOption that can be given a ChangeListener.Methods in moa.options with parameters of type ClassOption Modifier and Type Method Description protected Object
AbstractOptionHandler. getPreparedClassOption(ClassOption opt)
Gets a prepared option of this class.Object
OptionsHandler. getPreparedClassOption(ClassOption opt)
Gets a prepared option of this class. -
Uses of ClassOption in moa.recommender.predictor
Fields in moa.recommender.predictor declared as ClassOption Modifier and Type Field Description ClassOption
BaselinePredictor. dataOption
ClassOption
BRISMFPredictor. dataOption
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Uses of ClassOption in moa.streams
Fields in moa.streams declared as ClassOption Modifier and Type Field Description ClassOption
ConceptDriftRealStream. driftstreamOption
ClassOption
ConceptDriftStream. driftstreamOption
ClassOption
FilteredStream. filtersOption
ClassOption
MultiLabelFilteredStream. filtersOption
ClassOption
BootstrappedStream. streamOption
ClassOption
ConceptDriftRealStream. streamOption
ClassOption
ConceptDriftStream. streamOption
ClassOption
FilteredStream. streamOption
ClassOption
ImbalancedStream. streamOption
ClassOption
IrrelevantFeatureAppenderStream. streamOption
ClassOption
MultiFilteredStream. streamOption
ClassOption
MultiLabelFilteredStream. streamOption
ClassOption
PartitioningStream. streamOption
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Uses of ClassOption in moa.streams.generators.multilabel
Fields in moa.streams.generators.multilabel declared as ClassOption Modifier and Type Field Description ClassOption
MetaMultilabelGenerator. binaryGeneratorOption
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Uses of ClassOption in moa.tasks
Fields in moa.tasks declared as ClassOption Modifier and Type Field Description ClassOption
EvaluateOnlineRecommender. datasetOption
ClassOption
EvaluateConceptDrift. evaluatorOption
ClassOption
EvaluateInterleavedChunks. evaluatorOption
Allows to select the classifier performance evaluation method.ClassOption
EvaluateInterleavedTestThenTrain. evaluatorOption
ClassOption
EvaluateModel. evaluatorOption
ClassOption
EvaluateModelMultiLabel. evaluatorOption
ClassOption
EvaluateModelMultiTarget. evaluatorOption
ClassOption
EvaluateModelRegression. evaluatorOption
ClassOption
EvaluatePeriodicHeldOutTest. evaluatorOption
ClassOption
EvaluatePrequential. evaluatorOption
ClassOption
EvaluatePrequentialCV. evaluatorOption
ClassOption
EvaluatePrequentialDelayed. evaluatorOption
ClassOption
EvaluatePrequentialDelayedCV. evaluatorOption
ClassOption
EvaluatePrequentialMultiLabel. evaluatorOption
ClassOption
EvaluatePrequentialMultiTarget. evaluatorOption
ClassOption
EvaluatePrequentialMultiTargetSemiSuper. evaluatorOption
ClassOption
EvaluatePrequentialRegression. evaluatorOption
ClassOption
EvaluateClustering. learnerOption
ClassOption
EvaluateConceptDrift. learnerOption
ClassOption
EvaluateInterleavedChunks. learnerOption
Allows to select the trained classifier.ClassOption
EvaluateInterleavedTestThenTrain. learnerOption
ClassOption
EvaluateMultipleClusterings. learnerOption
ClassOption
EvaluatePeriodicHeldOutTest. learnerOption
ClassOption
EvaluatePrequential. learnerOption
ClassOption
EvaluatePrequentialCV. learnerOption
ClassOption
EvaluatePrequentialDelayed. learnerOption
ClassOption
EvaluatePrequentialDelayedCV. learnerOption
ClassOption
EvaluatePrequentialMultiLabel. learnerOption
ClassOption
EvaluatePrequentialMultiTarget. learnerOption
ClassOption
EvaluatePrequentialMultiTargetSemiSuper. learnerOption
ClassOption
EvaluatePrequentialRegression. learnerOption
ClassOption
FeatureImportanceConfig. learnerOption
Provides GUI to user so that they can configure parameters for feature importance algorithm.ClassOption
LearnModel. learnerOption
ClassOption
LearnModelMultiLabel. learnerOption
ClassOption
LearnModelMultiTarget. learnerOption
ClassOption
LearnModelRegression. learnerOption
ClassOption
EvaluateModel. modelOption
ClassOption
EvaluateModelMultiLabel. modelOption
ClassOption
EvaluateModelMultiTarget. modelOption
ClassOption
EvaluateModelRegression. modelOption
ClassOption
EvaluateOnlineRecommender. ratingPredictorOption
ClassOption
CacheShuffledStream. streamOption
ClassOption
EvaluateClustering. streamOption
ClassOption
EvaluateConceptDrift. streamOption
ClassOption
EvaluateInterleavedChunks. streamOption
Allows to select the stream the classifier will learn.ClassOption
EvaluateInterleavedTestThenTrain. streamOption
ClassOption
EvaluateModel. streamOption
ClassOption
EvaluateModelMultiLabel. streamOption
ClassOption
EvaluateModelMultiTarget. streamOption
ClassOption
EvaluateModelRegression. streamOption
ClassOption
EvaluateMultipleClusterings. streamOption
ClassOption
EvaluatePeriodicHeldOutTest. streamOption
ClassOption
EvaluatePrequential. streamOption
ClassOption
EvaluatePrequentialCV. streamOption
ClassOption
EvaluatePrequentialDelayed. streamOption
ClassOption
EvaluatePrequentialDelayedCV. streamOption
ClassOption
EvaluatePrequentialMultiLabel. streamOption
ClassOption
EvaluatePrequentialMultiTarget. streamOption
ClassOption
EvaluatePrequentialMultiTargetSemiSuper. streamOption
ClassOption
EvaluatePrequentialRegression. streamOption
ClassOption
LearnModel. streamOption
ClassOption
LearnModelMultiLabel. streamOption
ClassOption
LearnModelMultiTarget. streamOption
ClassOption
LearnModelRegression. streamOption
ClassOption
MeasureStreamSpeed. streamOption
ClassOption
WriteMultipleStreamsToARFF. streamOption
ClassOption
WriteStreamToARFFFile. streamOption
ClassOption
RunStreamTasks. taskOption
ClassOption
RunTasks. taskOption
ClassOption
WriteConfigurationToJupyterNotebook. taskOption
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Uses of ClassOption in moa.tasks.meta
Fields in moa.tasks.meta declared as ClassOption Modifier and Type Field Description ClassOption
ALPrequentialEvaluationTask. evaluatorOption
ClassOption
ALPrequentialEvaluationTask. learnerOption
ClassOption
ALPartitionEvaluationTask. multiParamTaskOption
ClassOption
ALPrequentialEvaluationTask. streamOption
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Uses of ClassOption in weka.classifiers.meta
Fields in weka.classifiers.meta declared as ClassOption Modifier and Type Field Description protected ClassOption
MOA. m_Classifier
the moa classifier option (this object is used in the GenericObjectEditor).Methods in weka.classifiers.meta that return ClassOption Modifier and Type Method Description ClassOption
MOA. getClassifier()
Returns the current MOA classifier in use.Methods in weka.classifiers.meta with parameters of type ClassOption Modifier and Type Method Description void
MOA. setClassifier(ClassOption value)
Sets the MOA classifier to use. -
Uses of ClassOption in weka.core
Methods in weka.core with parameters of type ClassOption Modifier and Type Method Description static MOAObject
MOAUtils. fromCommandLine(ClassOption option, String commandline)
Turns a commandline into an object (classname + optional options).static MOAObject
MOAUtils. fromOption(ClassOption option)
Creates a MOA object from the specified class option. -
Uses of ClassOption in weka.datagenerators.classifiers.classification
Fields in weka.datagenerators.classifiers.classification declared as ClassOption Modifier and Type Field Description protected ClassOption
MOA. m_Generator
for manipulating the generator through the GUI.Methods in weka.datagenerators.classifiers.classification that return ClassOption Modifier and Type Method Description ClassOption
MOA. getGenerator()
Returns the current MOA stream generator in use.Methods in weka.datagenerators.classifiers.classification with parameters of type ClassOption Modifier and Type Method Description void
MOA. setGenerator(ClassOption value)
Sets the MOA stream generator to use.
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