Uses of Interface
moa.classifiers.MultiTargetRegressor
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Uses of MultiTargetRegressor in moa.classifiers.meta
Fields in moa.classifiers.meta declared as MultiTargetRegressor Modifier and Type Field Description protected MultiTargetRegressor
MLCviaMTR. learner
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Uses of MultiTargetRegressor in moa.classifiers.multilabel
Classes in moa.classifiers.multilabel that implement MultiTargetRegressor Modifier and Type Class Description class
MEKAClassifier
Wrapper for MEKA classifiers.class
MultilabelHoeffdingTree
Hoeffding Tree for classifying multi-label data. -
Uses of MultiTargetRegressor in moa.classifiers.multilabel.meta
Classes in moa.classifiers.multilabel.meta that implement MultiTargetRegressor Modifier and Type Class Description class
OzaBagAdwinML
OzaBagAdwinML: Changes the way to compute accuracy as an input for Adwinclass
OzaBagML
OzaBag for Multi-label data. -
Uses of MultiTargetRegressor in moa.classifiers.multilabel.trees
Classes in moa.classifiers.multilabel.trees that implement MultiTargetRegressor Modifier and Type Class Description class
ISOUPTree
iSOUPTree class for structured output prediction.class
ISOUPTreeRF
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Uses of MultiTargetRegressor in moa.classifiers.multitarget
Classes in moa.classifiers.multitarget that implement MultiTargetRegressor Modifier and Type Class Description class
BasicMultiTargetRegressor
Binary relevance Multi-Target Regressor -
Uses of MultiTargetRegressor in moa.classifiers.multitarget.functions
Classes in moa.classifiers.multitarget.functions that implement MultiTargetRegressor Modifier and Type Class Description class
MultiTargetNoChange
MultiTargetNoChange class regressor. -
Uses of MultiTargetRegressor in moa.classifiers.rules
Classes in moa.classifiers.rules that implement MultiTargetRegressor Modifier and Type Class Description class
AMRulesRegressor
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Uses of MultiTargetRegressor in moa.classifiers.rules.meta
Classes in moa.classifiers.rules.meta that implement MultiTargetRegressor Modifier and Type Class Description class
RandomAMRules
Random AMRules algoritgm that performs analogous procedure as the Random Forest Trees but with Rules -
Uses of MultiTargetRegressor in moa.classifiers.rules.multilabel
Classes in moa.classifiers.rules.multilabel that implement MultiTargetRegressor Modifier and Type Class Description class
AMRulesMultiTargetRegressor
AMRules Algorithm for multitarget splitCriterionOption- Split criterion used to assess the merit of a split weightedVoteOption - Weighted vote type learnerOption - Learner selection errorMeasurerOption - Measure of error for deciding which learner should predict changeDetector - Change selection João Duarte, João Gama, Albert Bifet, Adaptive Model Rules From High-Speed Data Streams. -
Uses of MultiTargetRegressor in moa.classifiers.rules.multilabel.functions
Classes in moa.classifiers.rules.multilabel.functions that implement MultiTargetRegressor Modifier and Type Class Description class
AdaptiveMultiTargetRegressor
Adaptive MultiTarget Regressor uses two learner The first is used in first stage when high error are produced(e.g.class
MultiTargetMeanRegressor
Target mean regressorclass
MultiTargetPerceptronRegressor
Binary relevance with a regression perceptronclass
StackedPredictor
Fields in moa.classifiers.rules.multilabel.functions declared as MultiTargetRegressor Modifier and Type Field Description protected MultiTargetRegressor[]
AdaptiveMultiTargetRegressor. baseLearner
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Uses of MultiTargetRegressor in moa.classifiers.rules.multilabel.meta
Classes in moa.classifiers.rules.multilabel.meta that implement MultiTargetRegressor Modifier and Type Class Description class
MultiLabelRandomAMRules
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