Uses of Package
de.jstacs.sequenceScores.differentiable

Packages that use de.jstacs.sequenceScores.differentiable

de.jstacs.classifiers.differentiableSequenceScoreBased	Provides the classes for Classifiers that are based on SequenceScores.
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.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 DifferentiableStatisticalModels 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 DifferentiableStatisticalModels, which can compute the gradient with respect to their parameters for a given input Sequence.
de.jstacs.sequenceScores.statisticalModels.differentiable.directedGraphicalModels	Provides DifferentiableStatisticalModels that are directed graphical models.
de.jstacs.sequenceScores.statisticalModels.differentiable.homogeneous	Provides DifferentiableStatisticalModels that are homogeneous, i.e. model probabilities or scores independent of the position within a sequence
de.jstacs.sequenceScores.statisticalModels.differentiable.mixture	Provides DifferentiableSequenceScores that are mixtures of other DifferentiableSequenceScores.
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.