Package mulan.classifier.transformation

Class Summary

AdaBoostMH	Implementation of the AdaBoost.MH algorithm based on Weka's AdaBoostM1.
BinaryRelevance
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
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

Enum Summary

PPT.Strategy	strategies for processing infrequent labelsets
PrunedSets.Strategy	strategies for processing infrequent labelsets