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BayesianNetworkScoringFunction
.
See:
Description
Class Summary | |
---|---|
InhomogeneousMarkov | Class for a network structure of a
BayesianNetworkScoringFunction
that is an inhomogeneous Markov model. |
InhomogeneousMarkov.InhomogeneousMarkovParameterSet | Class for an InstanceParameterSet that defines the parameters of
an InhomogeneousMarkov structure Measure . |
Measure | Class for structure measures that derive an optimal structure with respect to some criterion within a class of possible structures from data. |
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
.
de.jstacs.parameters
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