Uses of Class
de.jstacs.classifier.scoringFunctionBased.gendismix.GenDisMixClassifier

Packages that use GenDisMixClassifier

de.jstacs.classifier.scoringFunctionBased.gendismix	Provides an implementation of a classifier that allows to train the parameters of a set of NormalizableScoringFunctions by a unified generative-discriminative learning principle
de.jstacs.classifier.scoringFunctionBased.msp	Provides an implementation of a classifier that allows to train the parameters of a set of ScoringFunctions either by maximum supervised posterior (MSP) or by maximum conditional likelihood (MCL)

Uses of GenDisMixClassifier in de.jstacs.classifier.scoringFunctionBased.gendismix

Methods in de.jstacs.classifier.scoringFunctionBased.gendismix that return GenDisMixClassifier

GenDisMixClassifier	GenDisMixClassifier.clone()
static GenDisMixClassifier[]	GenDisMixClassifier.create(GenDisMixClassifierParameterSet params, LogPrior prior, double[] weights, NormalizableScoringFunction[]... functions) This method creates an array of GenDisMixClassifiers by using the cross-product of the given NormalizableScoringFunctions.

Uses of GenDisMixClassifier in de.jstacs.classifier.scoringFunctionBased.msp

Subclasses of GenDisMixClassifier in de.jstacs.classifier.scoringFunctionBased.msp

class

MSPClassifier This class implements a classifier that allows the training via MCL or MSP principle.