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## Uses of Package
de.jstacs.sequenceScores.differentiable

Packages that use de.jstacs.sequenceScores.differentiable
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.logPrior | Provides a general definition of a parameter log-prior and a number of implementations of Laplace and Gaussian priors
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.motifDiscovery | This package provides the framework including the interface for any de novo motif discoverer
de.jstacs.sequenceScores.differentiable |
de.jstacs.sequenceScores.differentiable.logistic |
de.jstacs.sequenceScores.statisticalModels.differentiable | Provides all `DifferentiableStatisticalModel`s, which can compute the gradient with respect to their parameters for a given input `Sequence`.
de.jstacs.sequenceScores.statisticalModels.differentiable.directedGraphicalModels | Provides `DifferentiableStatisticalModel`s that are directed graphical models.
de.jstacs.sequenceScores.statisticalModels.differentiable.homogeneous | Provides `DifferentiableStatisticalModel`s that are homogeneous, i.e. model probabilities or scores independent of the position within a sequence
de.jstacs.sequenceScores.statisticalModels.differentiable.mixture | Provides `DifferentiableSequenceScore`s that are mixtures of other `DifferentiableSequenceScore`s.
de.jstacs.sequenceScores.statisticalModels.differentiable.mixture.motif |
de.jstacs.sequenceScores.statisticalModels.trainable.hmm.models | The package provides different implementations of hidden Markov models based on `AbstractHMM`

Classes in de.jstacs.sequenceScores.differentiable used by de.jstacs.classifiers.differentiableSequenceScoreBased
DifferentiableSequenceScore This interface is the main part of any `ScoreClassifier`.

Classes in de.jstacs.sequenceScores.differentiable used by de.jstacs.classifiers.differentiableSequenceScoreBased.gendismix
DifferentiableSequenceScore This interface is the main part of any `ScoreClassifier`.

Classes in de.jstacs.sequenceScores.differentiable used by de.jstacs.classifiers.differentiableSequenceScoreBased.logPrior
DifferentiableSequenceScore This interface is the main part of any `ScoreClassifier`.

Classes in de.jstacs.sequenceScores.differentiable used by de.jstacs.classifiers.differentiableSequenceScoreBased.msp
DifferentiableSequenceScore This interface is the main part of any `ScoreClassifier`.

Classes in de.jstacs.sequenceScores.differentiable used by de.jstacs.motifDiscovery
DifferentiableSequenceScore This interface is the main part of any `ScoreClassifier`.

Classes in de.jstacs.sequenceScores.differentiable used by de.jstacs.sequenceScores.differentiable
AbstractDifferentiableSequenceScore This class is the main part of any `ScoreClassifier`.
DifferentiableSequenceScore This interface is the main part of any `ScoreClassifier`.
IndependentProductDiffSS This class enables the user to model parts of a sequence independent of each other.

Classes in de.jstacs.sequenceScores.differentiable used by de.jstacs.sequenceScores.differentiable.logistic
AbstractDifferentiableSequenceScore This class is the main part of any `ScoreClassifier`.
DifferentiableSequenceScore This interface is the main part of any `ScoreClassifier`.

Classes in de.jstacs.sequenceScores.differentiable used by de.jstacs.sequenceScores.statisticalModels.differentiable
AbstractDifferentiableSequenceScore This class is the main part of any `ScoreClassifier`.
DifferentiableSequenceScore This interface is the main part of any `ScoreClassifier`.
IndependentProductDiffSS This class enables the user to model parts of a sequence independent of each other.
UniformDiffSS This `DifferentiableSequenceScore` does nothing.

Classes in de.jstacs.sequenceScores.differentiable used by de.jstacs.sequenceScores.statisticalModels.differentiable.directedGraphicalModels
AbstractDifferentiableSequenceScore This class is the main part of any `ScoreClassifier`.
DifferentiableSequenceScore This interface is the main part of any `ScoreClassifier`.

Classes in de.jstacs.sequenceScores.differentiable used by de.jstacs.sequenceScores.statisticalModels.differentiable.homogeneous
AbstractDifferentiableSequenceScore This class is the main part of any `ScoreClassifier`.
DifferentiableSequenceScore This interface is the main part of any `ScoreClassifier`.

Classes in de.jstacs.sequenceScores.differentiable used by de.jstacs.sequenceScores.statisticalModels.differentiable.mixture
AbstractDifferentiableSequenceScore This class is the main part of any `ScoreClassifier`.
DifferentiableSequenceScore This interface is the main part of any `ScoreClassifier`.

Classes in de.jstacs.sequenceScores.differentiable used by de.jstacs.sequenceScores.statisticalModels.differentiable.mixture.motif
AbstractDifferentiableSequenceScore This class is the main part of any `ScoreClassifier`.
DifferentiableSequenceScore This interface is the main part of any `ScoreClassifier`.

Classes in de.jstacs.sequenceScores.differentiable used by de.jstacs.sequenceScores.statisticalModels.trainable.hmm.models
DifferentiableSequenceScore This interface is the main part of any `ScoreClassifier`.

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