Uses of Class
de.jstacs.sequenceScores.statisticalModels.trainable.discrete.DGTrainSMParameterSet

Packages that use DGTrainSMParameterSet
de.jstacs.sequenceScores.statisticalModels.trainable.discrete   
de.jstacs.sequenceScores.statisticalModels.trainable.discrete.homogeneous   
de.jstacs.sequenceScores.statisticalModels.trainable.discrete.homogeneous.parameters   
de.jstacs.sequenceScores.statisticalModels.trainable.discrete.inhomogeneous This package contains various inhomogeneous models. 
de.jstacs.sequenceScores.statisticalModels.trainable.discrete.inhomogeneous.parameters   
 

Uses of DGTrainSMParameterSet in de.jstacs.sequenceScores.statisticalModels.trainable.discrete
 

Fields in de.jstacs.sequenceScores.statisticalModels.trainable.discrete declared as DGTrainSMParameterSet
protected  DGTrainSMParameterSet DiscreteGraphicalTrainSM.params
          The current parameter set of the model.
 

Methods in de.jstacs.sequenceScores.statisticalModels.trainable.discrete that return DGTrainSMParameterSet
 DGTrainSMParameterSet DGTrainSMParameterSet.clone()
           
 DGTrainSMParameterSet DiscreteGraphicalTrainSM.getCurrentParameterSet()
           
 

Methods in de.jstacs.sequenceScores.statisticalModels.trainable.discrete with parameters of type DGTrainSMParameterSet
protected  void DiscreteGraphicalTrainSM.set(DGTrainSMParameterSet params, boolean trained)
          Sets the parameters as internal parameters and does some essential computations.
 

Constructors in de.jstacs.sequenceScores.statisticalModels.trainable.discrete with parameters of type DGTrainSMParameterSet
DiscreteGraphicalTrainSM(DGTrainSMParameterSet params)
          The default constructor.
 

Uses of DGTrainSMParameterSet in de.jstacs.sequenceScores.statisticalModels.trainable.discrete.homogeneous
 

Methods in de.jstacs.sequenceScores.statisticalModels.trainable.discrete.homogeneous with parameters of type DGTrainSMParameterSet
protected  void HomogeneousTrainSM.set(DGTrainSMParameterSet params, boolean trained)
           
protected  void HomogeneousMM.set(DGTrainSMParameterSet params, boolean trained)
           
 

Uses of DGTrainSMParameterSet in de.jstacs.sequenceScores.statisticalModels.trainable.discrete.homogeneous.parameters
 

Subclasses of DGTrainSMParameterSet in de.jstacs.sequenceScores.statisticalModels.trainable.discrete.homogeneous.parameters
 class HomMMParameterSet
          This class implements a container for all parameters of a homogeneous Markov model.
 class HomogeneousTrainSMParameterSet
          This class implements a container for all parameters of any homogeneous model.
 

Uses of DGTrainSMParameterSet in de.jstacs.sequenceScores.statisticalModels.trainable.discrete.inhomogeneous
 

Methods in de.jstacs.sequenceScores.statisticalModels.trainable.discrete.inhomogeneous with parameters of type DGTrainSMParameterSet
protected  void InhomogeneousDGTrainSM.set(DGTrainSMParameterSet parameter, boolean trained)
           
protected  void FSDAGTrainSM.set(DGTrainSMParameterSet params, boolean trained)
           
protected  void BayesianNetworkTrainSM.set(DGTrainSMParameterSet parameter, boolean trained)
           
 

Uses of DGTrainSMParameterSet in de.jstacs.sequenceScores.statisticalModels.trainable.discrete.inhomogeneous.parameters
 

Subclasses of DGTrainSMParameterSet in de.jstacs.sequenceScores.statisticalModels.trainable.discrete.inhomogeneous.parameters
 class BayesianNetworkTrainSMParameterSet
          The ParameterSet for the class BayesianNetworkTrainSM.
 class FSDAGModelForGibbsSamplingParameterSet
          The class for the parameters of a FSDAGModelForGibbsSampling.
 class FSDAGTrainSMParameterSet
          The class for the parameters of a FSDAGTrainSM (fixed structure directed acyclic graphical model).
 class IDGTrainSMParameterSet
          This is the abstract container of parameters that is a root container for all inhomogeneous discrete graphical model parameter containers.