Interface  Description 

MultiTargetCapable 
MultiTargetCapable.java  A multilabel Classifier that can also handle generic multitarget data.

SemisupervisedClassifier 
SemisupervisedClassifier.java  An Interface for Multilabel Semisupervised Classifiers.

Class  Description 

BCC 
BCC.java  Bayesian Classifier Chains.

BPNN 
BPNN.java  Back Propagation Neural Network.

BR  
BRq 
BRq.java  Random Subspace ('quick') Version.

CC 
CC.java  The Classifier Chains Method.

CCq 
The Classifier Chains Method  Random Subspace ('quick') Version.

CDN 
CDN.java  Conditional Dependency Networks.

CDT 
CDT.java  Conditional Dependency Trellis.

CT 
CT  Classifier Trellis.

DBPNN 
DBPNN.java  Deep BackPropagation Neural Network.

Evaluation 
Evaluation.java  Evaluation functionality.

FW 
FW.java Fourclass pairWise classification.

HASEL 
HASEL  Partitions labels into subsets based on the dataset defined hierarchy.

LC 
LC.java  The LC (Label Combination) aka LP (Laber Powerset) Method.

MajorityLabelset 
MajorityLabelset.java  The most simplest multilabel classifier.

MCC 
MCC.java  CC with Monte Carlo optimisation.

MULAN 
MULAN.java  A wrapper for MULAN classifiers MULAN.

MultilabelClassifier 
MultilabelClassifier.java  A Multilabel Classifier.

PCC 
PCC.java  (Bayes Optimal) Probabalistic Classifier Chains.

PMCC 
PMCC.java  Like MCC but creates a population of M chains at training time (from Is candidate chains, using Monte Carlo sampling), and uses this population for inference at test time; If you are looking for a 'more typical' majorityvote ensemble method, use something like EnsembleML or BaggingML with MCC.

PS 
PS.java  The Pruned Sets Method.

PSt 
PSt.java  Pruned Sets with a a threshold so as to be able to predict sets not seen in the training set.

RAkEL 
RAkEL.java  Draws M subsets of size k from the set of labels, and trains PS upon each one, then combines label votes from these PS classifiers to get a labelvector prediction.

RAkELd 
RAkELd  Takes RAndom partition of labELs; like RAkEL but labelsets are disjoint / nonoverlapping subsets.

RT 
RT.java  The 'Ranking + Threshold' classifier.
