Uses of Class
moa.classifiers.AbstractMultiLabelLearner
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Uses of AbstractMultiLabelLearner in moa.classifiers.meta
Subclasses of AbstractMultiLabelLearner in moa.classifiers.meta Modifier and Type Class Description class
MLCviaMTR
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Uses of AbstractMultiLabelLearner in moa.classifiers.multilabel
Subclasses of AbstractMultiLabelLearner in moa.classifiers.multilabel Modifier and Type Class Description class
MajorityLabelset
Majority Labelset classifier.class
MEKAClassifier
Wrapper for MEKA classifiers. -
Uses of AbstractMultiLabelLearner in moa.classifiers.multilabel.trees
Subclasses of AbstractMultiLabelLearner in moa.classifiers.multilabel.trees Modifier and Type Class Description class
ISOUPTree
iSOUPTree class for structured output prediction.class
ISOUPTreeRF
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Uses of AbstractMultiLabelLearner in moa.classifiers.multitarget
Subclasses of AbstractMultiLabelLearner in moa.classifiers.multitarget Modifier and Type Class Description class
BasicMultiLabelClassifier
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BasicMultiLabelLearner
Binary relevance Multilabel Classifierclass
BasicMultiTargetRegressor
Binary relevance Multi-Target Regressor -
Uses of AbstractMultiLabelLearner in moa.classifiers.multitarget.functions
Subclasses of AbstractMultiLabelLearner in moa.classifiers.multitarget.functions Modifier and Type Class Description class
MultiTargetNoChange
MultiTargetNoChange class regressor. -
Uses of AbstractMultiLabelLearner in moa.classifiers.rules
Subclasses of AbstractMultiLabelLearner in moa.classifiers.rules Modifier and Type Class Description class
AMRulesRegressor
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Uses of AbstractMultiLabelLearner in moa.classifiers.rules.meta
Subclasses of AbstractMultiLabelLearner in moa.classifiers.rules.meta Modifier and Type Class Description class
RandomAMRules
Random AMRules algoritgm that performs analogous procedure as the Random Forest Trees but with Rules -
Uses of AbstractMultiLabelLearner in moa.classifiers.rules.multilabel
Subclasses of AbstractMultiLabelLearner in moa.classifiers.rules.multilabel Modifier and Type Class Description class
AMRulesMultiLabelClassifier
Method for online multi-Label classification.class
AMRulesMultiLabelLearner
Adaptive Model Rules for MultiLabel problems (AMRulesML), the streaming rule learning algorithm.class
AMRulesMultiLabelLearnerSemiSuper
Semi-supervised method for online multi-target regression.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.class
AMRulesMultiTargetRegressorSemiSuper
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Uses of AbstractMultiLabelLearner in moa.classifiers.rules.multilabel.functions
Subclasses of AbstractMultiLabelLearner in moa.classifiers.rules.multilabel.functions Modifier and Type Class Description class
AbstractAMRulesFunctionBasicMlLearner
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AdaptiveMultiTargetRegressor
Adaptive MultiTarget Regressor uses two learner The first is used in first stage when high error are produced(e.g.class
DominantLabelsClassifier
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MultiLabelNaiveBayes
Binary relevance with Naive Bayesclass
MultiLabelPerceptronClassification
Multi-Label perceptron classifier (by Binary Relevance).class
MultiTargetMeanRegressor
Target mean regressorclass
MultiTargetPerceptronRegressor
Binary relevance with a regression perceptronclass
StackedPredictor
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Uses of AbstractMultiLabelLearner in moa.classifiers.rules.multilabel.meta
Subclasses of AbstractMultiLabelLearner in moa.classifiers.rules.multilabel.meta Modifier and Type Class Description class
MultiLabelRandomAMRules
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