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

Packages that use InhomogeneousMarkov
de.jstacs.scoringFunctions.directedGraphicalModels Provides ScoringFunctions 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()