BayesianNetworkDiffSM
.See: Description
Class | Description |
---|---|
InhomogeneousMarkov |
Class for a network structure of a
BayesianNetworkDiffSM
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.
|
Measure.MeasureParameterSet |
This class is the super class of any
ParameterSet that can be used to instantiate a Measure . |
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
.
de.jstacs.parameters