Uses of Package
de.jstacs.sequenceScores.statisticalModels.differentiable.directedGraphicalModels

Packages that use de.jstacs.sequenceScores.statisticalModels.differentiable.directedGraphicalModels

Package	Description
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.

Classes in de.jstacs.sequenceScores.statisticalModels.differentiable.directedGraphicalModels used by de.jstacs.sequenceScores.statisticalModels.differentiable

Class and Description
BayesianNetworkDiffSM This class implements a scoring function that is a moral directed graphical model, i.e.

Classes in de.jstacs.sequenceScores.statisticalModels.differentiable.directedGraphicalModels used by de.jstacs.sequenceScores.statisticalModels.differentiable.directedGraphicalModels

Class and Description
BayesianNetworkDiffSM This class implements a scoring function that is a moral directed graphical model, i.e.
BayesianNetworkDiffSMParameterSet Class for the parameters of a BayesianNetworkDiffSM.
BNDiffSMParameter Class for the parameters of a BayesianNetworkDiffSM.
BNDiffSMParameterTree Class for the tree that represents the context of a BNDiffSMParameter in a BayesianNetworkDiffSM.