Uses of Class
de.jstacs.models.discrete.DiscreteGraphicalModel

Packages that use DiscreteGraphicalModel

de.jstacs.models.discrete
de.jstacs.models.discrete.homogeneous
de.jstacs.models.discrete.inhomogeneous	This package contains various inhomogeneous models.

Uses of DiscreteGraphicalModel in de.jstacs.models.discrete

Methods in de.jstacs.models.discrete that return DiscreteGraphicalModel

DiscreteGraphicalModel

DiscreteGraphicalModel.clone()

Constructor parameters in de.jstacs.models.discrete with type arguments of type DiscreteGraphicalModel

DGMParameterSet(Class<? extends DiscreteGraphicalModel> instanceClass, AlphabetContainer alphabet, double ess, String description)
The constructor for models that can handle variable lengths.

DGMParameterSet(Class<? extends DiscreteGraphicalModel> instanceClass, AlphabetContainer alphabet, int length, double ess, String description)
The constructor for models that can handle only sequences of fixed length given by length.

DGMParameterSet(Class<? extends DiscreteGraphicalModel> instanceClass, boolean simple, boolean variableLength)
An empty constructor.

Uses of DiscreteGraphicalModel in de.jstacs.models.discrete.homogeneous

Subclasses of DiscreteGraphicalModel in de.jstacs.models.discrete.homogeneous

class	HomogeneousMM This class implements homogeneous Markov models (hMM) of arbitrary order.
class	HomogeneousModel This class implements homogeneous models of arbitrary order.

Uses of DiscreteGraphicalModel in de.jstacs.models.discrete.inhomogeneous

Subclasses of DiscreteGraphicalModel in de.jstacs.models.discrete.inhomogeneous

class	BayesianNetworkModel The class implements a Bayesian network ( StructureLearner.ModelType.BN ) of fixed order.
class	DAGModel The abstract class for directed acyclic graphical models (DAGModel).
class	FSDAGModel This class can be used for any discrete fixed structure directed acyclic graphical model ( FSDAGModel).
class	FSDAGModelForGibbsSampling This is the class for a fixed structure directed acyclic graphical model (see FSDAGModel) that can be used in a Gibbs sampling.
class	InhomogeneousDGM This class is the main class for all inhomogeneous discrete graphical models (InhomogeneousDGM).