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.gendismix	Provides an implementation of a classifier that allows to train the parameters of a set of NormalizableScoringFunctions by a unified generative-discriminative learning principle
de.jstacs.classifier.scoringFunctionBased.sampling	Provides the classes for AbstractScoreBasedClassifiers that are based on SamplingScoringFunctions and that sample parameters using the Metropolis-Hastings algorithm.
de.jstacs.models.discrete
de.jstacs.models.discrete.homogeneous.parameters
de.jstacs.models.discrete.inhomogeneous.parameters
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.gendismix

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

class

GenDisMixClassifierParameterSet This class contains the parameters for the GenDisMixClassifier.

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

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

class	SamplingGenDisMixClassifierParameterSet ParameterSet to instantiate a SamplingGenDisMixClassifier.
class	SamplingScoreBasedClassifierParameterSet ParameterSet to instantiate a SamplingScoreBasedClassifier.

Uses of SequenceScoringParameterSet in de.jstacs.models.discrete

Subclasses of SequenceScoringParameterSet in de.jstacs.models.discrete

class

DGMParameterSet The super ParameterSet for any parameter set 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	FSDAGModelForGibbsSamplingParameterSet The class for the parameters of a FSDAGModelForGibbsSampling.
class	FSDAGMParameterSet The class for the parameters of a FSDAGModel (fixed structure directed acyclic graphical model).
class	IDGMParameterSet This is the abstract container of parameters that is a root container for all inhomogeneous discrete graphical model parameter containers.

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.