Package 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.

See: Description

Class Summary

Class	Description
BTExplainingAwayResidual	Structure learning Measure that computes a maximum spanning tree based on the explaining away residual and uses the resulting tree structure as structure of a Bayesian tree (special case of a Bayesian network) in a BayesianNetworkDiffSM .
BTExplainingAwayResidual.BTExplainingAwayResidualParameterSet	Class for the parameters of a BTExplainingAwayResidual structure Measure.
BTMutualInformation	Structure learning Measure that computes a maximum spanning tree based on mutual information and uses the resulting tree structure as structure of a Bayesian tree (special case of a Bayesian network) in a BayesianNetworkDiffSM .
BTMutualInformation.BTMutualInformationParameterSet	Class for the parameters of a BTMutualInformation structure Measure.

Enum Summary

Enum	Description
BTMutualInformation.DataSource	Enum defining the possible sources of data to compute the mutual information.

Package de.jstacs.sequenceScores.statisticalModels.differentiable.directedGraphicalModels.structureLearning.measures.btMeasures Description

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.

See Also:

de.jstacs.parameters