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

Provides the facilities to learn the structure of a BayesianNetworkDiffSM.

See: Description

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

Provides the facilities to learn the structure of a BayesianNetworkDiffSM. The base is the Measure interface. Implementations of the interface can be found in the sub-packages. An implementation of an inhomogeneous Markov model, which does not require "real" structure learning, is provided with the class InhomogeneousMarkov.
See Also:
de.jstacs.parameters
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