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

Packages that use de.jstacs.classifiers.differentiableSequenceScoreBased.gendismix
de.jstacs.classifiers.differentiableSequenceScoreBased.gendismix | Provides an implementation of a classifier that allows to train the parameters of a set of `DifferentiableStatisticalModel`s 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 `DifferentiableStatisticalModel`s either by maximum supervised posterior (MSP) or by maximum conditional likelihood (MCL)
de.jstacs.classifiers.differentiableSequenceScoreBased.sampling | Provides the classes for `AbstractScoreBasedClassifier`s that are based on `SamplingDifferentiableStatisticalModel`s and that sample parameters using the Metropolis-Hastings algorithm.

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

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