Uses of Class
de.jstacs.sequenceScores.statisticalModels.differentiable.directedGraphicalModels.structureLearning.measures.InhomogeneousMarkov

Packages that use InhomogeneousMarkov

Package	Description
de.jstacs.sequenceScores.statisticalModels.differentiable.directedGraphicalModels	Provides DifferentiableStatisticalModels that are directed graphical models.
de.jstacs.sequenceScores.statisticalModels.differentiable.directedGraphicalModels.structureLearning.measures	Provides the facilities to learn the structure of a BayesianNetworkDiffSM.

Uses of InhomogeneousMarkov in de.jstacs.sequenceScores.statisticalModels.differentiable.directedGraphicalModels

Constructors in de.jstacs.sequenceScores.statisticalModels.differentiable.directedGraphicalModels with parameters of type InhomogeneousMarkov

Constructor and Description
MarkovModelDiffSM(AlphabetContainer alphabet, int length, double ess, boolean plugInParameters, InhomogeneousMarkov structureMeasure) This constructor creates an instance without any prior for the modeled length.
MarkovModelDiffSM(AlphabetContainer alphabet, int length, double ess, boolean plugInParameters, InhomogeneousMarkov structureMeasure, DurationDiffSM lengthPenalty) This constructor creates an instance with an prior for the modeled length.

Uses of InhomogeneousMarkov in de.jstacs.sequenceScores.statisticalModels.differentiable.directedGraphicalModels.structureLearning.measures

Methods in de.jstacs.sequenceScores.statisticalModels.differentiable.directedGraphicalModels.structureLearning.measures that return InhomogeneousMarkov

Modifier and Type	Method and Description
InhomogeneousMarkov	InhomogeneousMarkov.clone()