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

Packages that use DGMParameterSet
de.jstacs.models.discrete   
de.jstacs.models.discrete.inhomogeneous This package contains various inhomogeneous models. 
de.jstacs.models.discrete.inhomogeneous.parameters   
 

Uses of DGMParameterSet in de.jstacs.models.discrete
 

Fields in de.jstacs.models.discrete declared as DGMParameterSet
protected  DGMParameterSet DiscreteGraphicalModel.params
          The current parameter set of the model
 

Methods in de.jstacs.models.discrete that return DGMParameterSet
 DGMParameterSet DGMParameterSet.clone()
           
 DGMParameterSet DiscreteGraphicalModel.getCurrentParameterSet()
           
 

Methods in de.jstacs.models.discrete with parameters of type DGMParameterSet
protected  void DiscreteGraphicalModel.set(DGMParameterSet params, boolean trained)
          Sets the parameters as internal parameters and does some essential computations.
 

Constructors in de.jstacs.models.discrete with parameters of type DGMParameterSet
DiscreteGraphicalModel(DGMParameterSet params)
          The default constructor.
 

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

Methods in de.jstacs.models.discrete.inhomogeneous with parameters of type DGMParameterSet
protected  void InhomogeneousDGM.set(DGMParameterSet parameter, boolean trained)
           
protected  void FSDAGModel.set(DGMParameterSet params, boolean trained)
           
protected  void BayesianNetworkModel.set(DGMParameterSet parameter, boolean trained)
           
 

Uses of DGMParameterSet in de.jstacs.models.discrete.inhomogeneous.parameters
 

Subclasses of DGMParameterSet in de.jstacs.models.discrete.inhomogeneous.parameters
 class BayesianNetworkModelParameterSet
          The ParameterSet for the class BayesianNetworkModel.
 class FSDAGMParameterSet
          The class for the parameters of a FSDAGModel.
 class IDGMParameterSet
          This is the abstract container of parameters that is root container for all inhomogeneous discrete graphical model parameter containers.