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

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

Classes in de.jstacs.sequenceScores.statisticalModels.differentiable.directedGraphicalModels used by de.jstacs.sequenceScores.statisticalModels.differentiable
BayesianNetworkDiffSM This class implements a scoring function that is a moral directed graphical model, i.e. a moral Bayesian network.

Classes in de.jstacs.sequenceScores.statisticalModels.differentiable.directedGraphicalModels used by de.jstacs.sequenceScores.statisticalModels.differentiable.directedGraphicalModels
BayesianNetworkDiffSM This class implements a scoring function that is a moral directed graphical model, i.e. a moral Bayesian network.
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`.

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