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

Packages that use de.jstacs.classifiers.differentiableSequenceScoreBased
de.jstacs.classifiers.differentiableSequenceScoreBased | Provides the classes for `Classifier`s that are based on `SequenceScore`s.
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.
de.jstacs.motifDiscovery | This package provides the framework including the interface for any de novo motif discoverer

Classes in de.jstacs.classifiers.differentiableSequenceScoreBased used by de.jstacs.classifiers.differentiableSequenceScoreBased
AbstractMultiThreadedOptimizableFunction This class enables the user to exploit all CPUs of an computer by using threads.
AbstractOptimizableFunction This class extends `OptimizableFunction` and implements some common methods.
DiffSSBasedOptimizableFunction This abstract class is the basis of all multi-threaded `OptimizableFunction`s that are based on `DifferentiableSequenceScore`s.
OptimizableFunction This is the main function for the `ScoreClassifier`.
OptimizableFunction.KindOfParameter This `enum` defines the kinds of parameters that can be returned by the method `OptimizableFunction.getParameters(KindOfParameter)`.
ScoreClassifier This abstract class implements the main functionality of a `DifferentiableSequenceScore` based classifier.
ScoreClassifierParameterSet A set of `Parameter`s for any `ScoreClassifier`.

Classes in de.jstacs.classifiers.differentiableSequenceScoreBased used by de.jstacs.classifiers.differentiableSequenceScoreBased.gendismix
AbstractMultiThreadedOptimizableFunction This class enables the user to exploit all CPUs of an computer by using threads.
AbstractOptimizableFunction This class extends `OptimizableFunction` and implements some common methods.
DiffSSBasedOptimizableFunction This abstract class is the basis of all multi-threaded `OptimizableFunction`s that are based on `DifferentiableSequenceScore`s.
OptimizableFunction This is the main function for the `ScoreClassifier`.
OptimizableFunction.KindOfParameter This `enum` defines the kinds of parameters that can be returned by the method `OptimizableFunction.getParameters(KindOfParameter)`.
ScoreClassifier This abstract class implements the main functionality of a `DifferentiableSequenceScore` based classifier.
ScoreClassifierParameterSet A set of `Parameter`s for any `ScoreClassifier`.

Classes in de.jstacs.classifiers.differentiableSequenceScoreBased used by de.jstacs.classifiers.differentiableSequenceScoreBased.msp
ScoreClassifier This abstract class implements the main functionality of a `DifferentiableSequenceScore` based classifier.

Classes in de.jstacs.classifiers.differentiableSequenceScoreBased used by de.jstacs.classifiers.differentiableSequenceScoreBased.sampling
DiffSSBasedOptimizableFunction This abstract class is the basis of all multi-threaded `OptimizableFunction`s that are based on `DifferentiableSequenceScore`s.

Classes in de.jstacs.classifiers.differentiableSequenceScoreBased used by de.jstacs.motifDiscovery
DiffSSBasedOptimizableFunction This abstract class is the basis of all multi-threaded `OptimizableFunction`s that are based on `DifferentiableSequenceScore`s.
OptimizableFunction.KindOfParameter This `enum` defines the kinds of parameters that can be returned by the method `OptimizableFunction.getParameters(KindOfParameter)`.

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