Uses of Interface
meka.core.MultiLabelDrawable

Packages that use MultiLabelDrawable

Package	Description
meka.classifiers.multilabel
meka.classifiers.multilabel.incremental
meka.classifiers.multilabel.neurofuzzy
meka.classifiers.multitarget

Uses of MultiLabelDrawable in meka.classifiers.multilabel

Classes in meka.classifiers.multilabel that implement MultiLabelDrawable

Modifier and Type	Class and Description
class	BCC BCC.java - Bayesian Classifier Chains.
class	BR
class	CC CC.java - The Classifier Chains Method.
class	CT CT - Classifier Trellis.
class	HASEL HASEL - Partitions labels into subsets based on the dataset defined hierarchy.
class	LC LC.java - The LC (Label Combination) aka LP (Laber Powerset) Method.
class	MCC MCC.java - CC with Monte Carlo optimisation.
class	PCC PCC.java - (Bayes Optimal) Probabalistic Classifier Chains.
class	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' majority-vote ensemble method, use something like EnsembleML or BaggingML with MCC.
class	PS PS.java - The Pruned Sets Method.
class	PSt PSt.java - Pruned Sets with a a threshold so as to be able to predict sets not seen in the training set.
class	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 label-vector prediction.
class	RAkELd RAkELd - Takes RAndom partition of labELs; like RAkEL but labelsets are disjoint / non-overlapping subsets.

Uses of MultiLabelDrawable in meka.classifiers.multilabel.incremental

Classes in meka.classifiers.multilabel.incremental that implement MultiLabelDrawable

Modifier and Type	Class and Description
class	BRUpdateable BRUpdateable.java - Updateable BR.
class	CCUpdateable CCUpdateable.java - Updateable version of CC.
class	PSUpdateable PSUpdateable.java - Pruned Sets Updateable.

Uses of MultiLabelDrawable in meka.classifiers.multilabel.neurofuzzy

Classes in meka.classifiers.multilabel.neurofuzzy that implement MultiLabelDrawable

Modifier and Type	Class and Description
class	WARAM ****REPLACE THE FOLLOWING WITH SIMILAR INFORMATION.

Uses of MultiLabelDrawable in meka.classifiers.multitarget

Classes in meka.classifiers.multitarget that implement MultiLabelDrawable

Modifier and Type	Class and Description
class	CCp CCp.java - Multitarget CC with probabilistic output.
class	CR
class	NSR NSR.java - The Nearest Set Relpacement (NSR) method.
class	SCC SCC.java - Super Class Classifier (aka Super Node Classifier).