Uses of Package
de.jstacs.sequenceScores.statisticalModels.differentiable.directedGraphicalModels.structureLearning.measures

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

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.
de.jstacs.sequenceScores.statisticalModels.differentiable.directedGraphicalModels.structureLearning.measures.btMeasures	Provides the facilities to learn the structure of a BayesianNetworkDiffSM as a Bayesian tree using a number of measures to define a rating of structures.
de.jstacs.sequenceScores.statisticalModels.differentiable.directedGraphicalModels.structureLearning.measures.pmmMeasures	Provides the facilities to learn the structure of a BayesianNetworkDiffSM as a permuted Markov model using a number of measures to define a rating of structures.

Classes in de.jstacs.sequenceScores.statisticalModels.differentiable.directedGraphicalModels.structureLearning.measures used by de.jstacs.sequenceScores.statisticalModels.differentiable.directedGraphicalModels

Class and Description
InhomogeneousMarkov Class for a network structure of a BayesianNetworkDiffSM that is an inhomogeneous Markov model.
Measure Class for structure measures that derive an optimal structure with respect to some criterion within a class of possible structures from data.

Classes in de.jstacs.sequenceScores.statisticalModels.differentiable.directedGraphicalModels.structureLearning.measures used by de.jstacs.sequenceScores.statisticalModels.differentiable.directedGraphicalModels.structureLearning.measures

Class and Description
InhomogeneousMarkov Class for a network structure of a BayesianNetworkDiffSM that is an inhomogeneous Markov model.
InhomogeneousMarkov.InhomogeneousMarkovParameterSet Class for an InstanceParameterSet that defines the parameters of an InhomogeneousMarkov structure Measure.
Measure Class for structure measures that derive an optimal structure with respect to some criterion within a class of possible structures from data.
Measure.MeasureParameterSet This class is the super class of any ParameterSet that can be used to instantiate a Measure.

Classes in de.jstacs.sequenceScores.statisticalModels.differentiable.directedGraphicalModels.structureLearning.measures used by de.jstacs.sequenceScores.statisticalModels.differentiable.directedGraphicalModels.structureLearning.measures.btMeasures

Class and Description
Measure Class for structure measures that derive an optimal structure with respect to some criterion within a class of possible structures from data.
Measure.MeasureParameterSet This class is the super class of any ParameterSet that can be used to instantiate a Measure.

Classes in de.jstacs.sequenceScores.statisticalModels.differentiable.directedGraphicalModels.structureLearning.measures used by de.jstacs.sequenceScores.statisticalModels.differentiable.directedGraphicalModels.structureLearning.measures.pmmMeasures

Class and Description
Measure Class for structure measures that derive an optimal structure with respect to some criterion within a class of possible structures from data.
Measure.MeasureParameterSet This class is the super class of any ParameterSet that can be used to instantiate a Measure.