Provides the facilities to learn the structure of a {@link de.jstacs.sequenceScores.statisticalModels.differentiable.directedGraphicalModels.BayesianNetworkDiffSM}.
The base is the {@link de.jstacs.sequenceScores.statisticalModels.differentiable.directedGraphicalModels.structureLearning.measures.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 {@link de.jstacs.sequenceScores.statisticalModels.differentiable.directedGraphicalModels.structureLearning.measures.InhomogeneousMarkov}.
@see de.jstacs.parameters