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	FSMEManager.set(DGTrainSMParameterSet params, 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	FSMEMParameterSet The ParameterSet for a FSMEManager.
class	IDGTrainSMParameterSet This is the abstract container of parameters that is a root container for all inhomogeneous discrete graphical model parameter containers.
class	MEManagerParameterSet The ParameterSet for any MEManager.