Package moa.classifiers.rules.multilabel.functions
-
Interface Summary Interface Description AMRulesFunction -
Class Summary Class Description AbstractAMRulesFunctionBasicMlLearner AdaptiveMultiTargetRegressor Adaptive MultiTarget Regressor uses two learner The first is used in first stage when high error are produced(e.g.DominantLabelsClassifier MultiLabelNaiveBayes Binary relevance with Naive BayesMultiLabelPerceptronClassification Multi-Label perceptron classifier (by Binary Relevance).MultiTargetMeanRegressor Target mean regressorMultiTargetPerceptronRegressor Binary relevance with a regression perceptronStackedPredictor