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

Packages that use de.jstacs.sequenceScores.statisticalModels.differentiable.directedGraphicalModels.structureLearning.measures
de.jstacs.sequenceScores.statisticalModels.differentiable.directedGraphicalModels | Provides `DifferentiableStatisticalModel`s 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
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
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
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
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`.

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