Provides the facilities to learn the structure of a BayesianNetworkScoringFunction. 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 de.jstacs.parameters