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## Uses of Class
de.jstacs.scoringFunctions.directedGraphicalModels.structureLearning.measures.InhomogeneousMarkov

Packages that use InhomogeneousMarkov
de.jstacs.scoringFunctions.directedGraphicalModels | Provides `ScoringFunction`s that are equivalent to directed graphical models.
de.jstacs.scoringFunctions.directedGraphicalModels.structureLearning.measures | Provides the facilities to learn the structure of a `BayesianNetworkScoringFunction`.

Uses of InhomogeneousMarkov in de.jstacs.scoringFunctions.directedGraphicalModels

Constructors in de.jstacs.scoringFunctions.directedGraphicalModels with parameters of type InhomogeneousMarkov
`MutableMarkovModelScoringFunction(AlphabetContainer alphabet, int length, double ess, boolean plugInParameters, InhomogeneousMarkov structureMeasure)` This constructor creates an instance without any prior for the modeled length.
`MutableMarkovModelScoringFunction(AlphabetContainer alphabet, int length, double ess, boolean plugInParameters, InhomogeneousMarkov structureMeasure, DurationScoringFunction lengthPenalty)` This constructor creates an instance with an prior for the modeled length.

Uses of InhomogeneousMarkov in de.jstacs.scoringFunctions.directedGraphicalModels.structureLearning.measures

Methods in de.jstacs.scoringFunctions.directedGraphicalModels.structureLearning.measures that return InhomogeneousMarkov
`InhomogeneousMarkov` | `InhomogeneousMarkov.clone()`

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