Uses of Class
de.jstacs.parameters.SequenceScoringParameterSet

Packages that use SequenceScoringParameterSet

de.jstacs.classifier.scoringFunctionBased	Provides the classes for Classifiers that are based on ScoringFunctions.
de.jstacs.classifier.scoringFunctionBased.cll	Provides the implementation of the log conditional likelihood as an OptimizableFunction and a classifier that uses log conditional likelihood or supervised posterior to learn the parameters of a set of ScoringFunctions
de.jstacs.models.discrete
de.jstacs.models.discrete.homogeneous.parameters
de.jstacs.models.discrete.inhomogeneous.parameters
de.jstacs.models.mixture.gibbssampling	This package contains many classes that can be used while a Gibbs sampling.
de.jstacs.parameters	This package provides classes for parameters that establish a general convention for the description of parameters as defined in the Parameter-interface.
de.jstacs.scoringFunctions.directedGraphicalModels	Provides ScoringFunctions that are equivalent to directed graphical models.

Uses of SequenceScoringParameterSet in de.jstacs.classifier.scoringFunctionBased

Subclasses of SequenceScoringParameterSet in de.jstacs.classifier.scoringFunctionBased

class

ScoreClassifierParameterSet A set of Parameters for any ScoreClassifier.

Uses of SequenceScoringParameterSet in de.jstacs.classifier.scoringFunctionBased.cll

Subclasses of SequenceScoringParameterSet in de.jstacs.classifier.scoringFunctionBased.cll

class

CLLClassifierParameterSet This class contains the parameters for the CLLClassifier.

Uses of SequenceScoringParameterSet in de.jstacs.models.discrete

Subclasses of SequenceScoringParameterSet in de.jstacs.models.discrete

class

DGMParameterSet The super ParameterSet for any ParameterSet of a DiscreteGraphicalModel.

Uses of SequenceScoringParameterSet in de.jstacs.models.discrete.homogeneous.parameters

Subclasses of SequenceScoringParameterSet in de.jstacs.models.discrete.homogeneous.parameters

class	HomMMParameterSet This class implements a container for all parameters of a homogeneous Markov model
class	HomogeneousModelParameterSet This class implements a container for all parameters of any homogeneous model.

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

Subclasses of SequenceScoringParameterSet 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.

Uses of SequenceScoringParameterSet in de.jstacs.models.mixture.gibbssampling

Subclasses of SequenceScoringParameterSet in de.jstacs.models.mixture.gibbssampling

class

FSDAGModelForGibbsSamplingParameterSet The class for the parameters of a FSDAGModelForGibbsSampling.

Uses of SequenceScoringParameterSet in de.jstacs.parameters

Methods in de.jstacs.parameters that return SequenceScoringParameterSet

SequenceScoringParameterSet

SequenceScoringParameterSet.clone()

Uses of SequenceScoringParameterSet in de.jstacs.scoringFunctions.directedGraphicalModels

Subclasses of SequenceScoringParameterSet in de.jstacs.scoringFunctions.directedGraphicalModels

class

BayesianNetworkScoringFunctionParameterSet Class for the parameters of a BayesianNetworkScoringFunction.