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## Package de.jstacs.scoringFunctions.directedGraphicalModels.structureLearning.measures.pmmMeasures

Provides the facilities to learn the structure of a `BayesianNetworkScoringFunction` as a permuted Markov model using a number of measures to define a rating of structures

See:
Description

Class Summary
PMMExplainingAwayResidual | Class for the network structure of a `BayesianNetworkScoringFunction` that is a permuted Markov model based on the explaining away residual.
PMMExplainingAwayResidual.PMMExplainingAwayResidualParameterSet | Class for the parameters of a `PMMExplainingAwayResidual` structure `Measure`.
PMMMutualInformation | Class for the network structure of a `BayesianNetworkScoringFunction` that is a permuted Markov model based on mutual information.
PMMMutualInformation.PMMMutualInformationParameterSet | Class for the parameters of a `PMMMutualInformation` structure `Measure`.

## Package de.jstacs.scoringFunctions.directedGraphicalModels.structureLearning.measures.pmmMeasures Description

Provides the facilities to learn the structure of a `BayesianNetworkScoringFunction` as a permuted Markov model using a number of measures to define a rating of structures.

See Also:
  `de.jstacs.parameters`

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