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.