Provides ScoringFunction
s that are equivalent to directed graphical models. The currently implemented
BayesianNetworkScoringFunction
provides structure learning for inhomogeneous Markov models, Bayesian trees, and permuted Markov models,
but can be extended to other graph structures easily using the Measure
interface. When using a BayesianNetworkScoringFunction
in the CLLClassifier
, it is important to define only moral Bayesian network structures, because other in the chosen parameterization the
normalization is not defined.