Uses of Package
de.jstacs.classifiers.differentiableSequenceScoreBased.gendismix

Packages that use de.jstacs.classifiers.differentiableSequenceScoreBased.gendismix

Package	Description
de.jstacs.classifiers	This package provides the framework for any classifier.
de.jstacs.classifiers.differentiableSequenceScoreBased.gendismix	Provides an implementation of a classifier that allows to train the parameters of a set of DifferentiableStatisticalModels by a unified generative-discriminative learning principle.
de.jstacs.classifiers.differentiableSequenceScoreBased.msp	Provides an implementation of a classifier that allows to train the parameters of a set of DifferentiableStatisticalModels either by maximum supervised posterior (MSP) or by maximum conditional likelihood (MCL).
de.jstacs.classifiers.differentiableSequenceScoreBased.sampling	Provides the classes for AbstractScoreBasedClassifiers that are based on SamplingDifferentiableStatisticalModels and that sample parameters using the Metropolis-Hastings algorithm.

Classes in de.jstacs.classifiers.differentiableSequenceScoreBased.gendismix used by de.jstacs.classifiers

Class and Description
LearningPrinciple This enum can be used to obtain the weights for well-known optimization tasks.

Classes in de.jstacs.classifiers.differentiableSequenceScoreBased.gendismix used by de.jstacs.classifiers.differentiableSequenceScoreBased.gendismix

Class and Description
GenDisMixClassifier This class implements a classifier the optimizes the following function The weights have to sum to 1.
GenDisMixClassifierParameterSet This class contains the parameters for the GenDisMixClassifier.
LearningPrinciple This enum can be used to obtain the weights for well-known optimization tasks.
LogGenDisMixFunction This class implements the the following function The weights have to sum to 1.

Classes in de.jstacs.classifiers.differentiableSequenceScoreBased.gendismix used by de.jstacs.classifiers.differentiableSequenceScoreBased.msp

Class and Description
GenDisMixClassifier This class implements a classifier the optimizes the following function The weights have to sum to 1.
GenDisMixClassifierParameterSet This class contains the parameters for the GenDisMixClassifier.

Classes in de.jstacs.classifiers.differentiableSequenceScoreBased.gendismix used by de.jstacs.classifiers.differentiableSequenceScoreBased.sampling

Class and Description
GenDisMixClassifier This class implements a classifier the optimizes the following function The weights have to sum to 1.
GenDisMixClassifierParameterSet This class contains the parameters for the GenDisMixClassifier.
LearningPrinciple This enum can be used to obtain the weights for well-known optimization tasks.