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

Provides DifferentiableStatisticalModels that are directed graphical models.

See: Description

Package de.jstacs.sequenceScores.statisticalModels.differentiable.directedGraphicalModels Description

Provides DifferentiableStatisticalModels that are directed graphical models. The currently implemented BayesianNetworkDiffSM provides structure learning for inhomogeneous Markov models, Bayesian trees, and permuted Markov models, but can be extended to other graph structures easily using the Measure interface. It is important to define only moral Bayesian network structures because of the chosen parameterization.
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