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Class Summary |
| AdaBoostMH |
Implementation of the AdaBoost.MH algorithm based on Weka's AdaBoostM1. |
| BinaryRelevance |
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| CalibratedLabelRanking |
Class implementing the Calibrated Label Ranking (CLR) algorithm. |
| ClassifierChain |
Class implementing the Classifier Chain (CC) algorithm. |
| EnsembleOfClassifierChains |
Class implementing the Ensemble of Classifier Chains(ECC) algorithm. |
| EnsembleOfPrunedSets |
Class implementing the Ensemble of Pruned Sets algorithm(EPS) . |
| IncludeLabelsClassifier |
A multilabel classifier based on the include labels transformation. |
| LabelPowerset |
Class that implements a label powerset classifier |
| LabelsetPruning |
Common functionality class for the PPT and PS algorithms |
| MultiClassLearner |
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| MultiLabelStacking |
This class is an implementation of the (BR)^2 or Multi-Label stacking method. |
| PPT |
Class implementing the Pruned Problem Transformation algorithm (PPT) . |
| PrunedSets |
Class implementing the Pruned Sets algorithm (PS). |
| TransformationBasedMultiLabelLearner |
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