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

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

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

Classes in de.jstacs.sequenceScores.statisticalModels.trainable.discrete with type parameters of type DiscreteGraphicalTrainSM
 class DGTrainSMParameterSet<T extends DiscreteGraphicalTrainSM>
          The super ParameterSet for any parameter set of a DiscreteGraphicalTrainSM.
 

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

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

Subclasses of DiscreteGraphicalTrainSM in de.jstacs.sequenceScores.statisticalModels.trainable.discrete.homogeneous
 class HomogeneousMM
          This class implements homogeneous Markov models (hMM) of arbitrary order.
 class HomogeneousTrainSM
          This class implements homogeneous models of arbitrary order.
 

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

Subclasses of DiscreteGraphicalTrainSM in de.jstacs.sequenceScores.statisticalModels.trainable.discrete.inhomogeneous
 class BayesianNetworkTrainSM
          The class implements a Bayesian network ( StructureLearner.ModelType.BN ) of fixed order.
 class DAGTrainSM
          The abstract class for directed acyclic graphical models (DAGTrainSM).
 class FSDAGModelForGibbsSampling
          This is the class for a fixed structure directed acyclic graphical model (see FSDAGTrainSM) that can be used in a Gibbs sampling.
 class FSDAGTrainSM
          This class can be used for any discrete fixed structure directed acyclic graphical model ( FSDAGTrainSM).
 class InhomogeneousDGTrainSM
          This class is the main class for all inhomogeneous discrete graphical models (InhomogeneousDGTrainSM).