Uses of Class
de.jstacs.parameters.SequenceScoringParameterSet

Packages that use SequenceScoringParameterSet

Package	Description
de.jstacs.classifiers.differentiableSequenceScoreBased	Provides the classes for Classifiers that are based on SequenceScores. It includes a sub-package for discriminative objective functions, namely conditional likelihood and supervised posterior, and a separate sub-package for the parameter priors, that can be used for the supervised posterior.
de.jstacs.classifiers.differentiableSequenceScoreBased.gendismix	Provides an implementation of a classifier that allows to train the parameters of a set of DifferentiableStatisticalModels by a unified generative-discriminative learning principle.
de.jstacs.classifiers.differentiableSequenceScoreBased.sampling	Provides the classes for AbstractScoreBasedClassifiers that are based on SamplingDifferentiableStatisticalModels and that sample parameters using the Metropolis-Hastings algorithm.
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.sequenceScores.statisticalModels.differentiable.directedGraphicalModels	Provides DifferentiableStatisticalModels that are directed graphical models.
de.jstacs.sequenceScores.statisticalModels.trainable.discrete
de.jstacs.sequenceScores.statisticalModels.trainable.discrete.homogeneous.parameters
de.jstacs.sequenceScores.statisticalModels.trainable.discrete.inhomogeneous.parameters

Uses of SequenceScoringParameterSet in de.jstacs.classifiers.differentiableSequenceScoreBased

Subclasses of SequenceScoringParameterSet in de.jstacs.classifiers.differentiableSequenceScoreBased

Modifier and Type	Class and Description
class	ScoreClassifierParameterSet A set of Parameters for any ScoreClassifier.

Uses of SequenceScoringParameterSet in de.jstacs.classifiers.differentiableSequenceScoreBased.gendismix

Subclasses of SequenceScoringParameterSet in de.jstacs.classifiers.differentiableSequenceScoreBased.gendismix

Modifier and Type	Class and Description
class	GenDisMixClassifierParameterSet This class contains the parameters for the GenDisMixClassifier.

Uses of SequenceScoringParameterSet in de.jstacs.classifiers.differentiableSequenceScoreBased.sampling

Subclasses of SequenceScoringParameterSet in de.jstacs.classifiers.differentiableSequenceScoreBased.sampling

Modifier and Type	Class and Description
class	SamplingGenDisMixClassifierParameterSet ParameterSet to instantiate a SamplingGenDisMixClassifier.
class	SamplingScoreBasedClassifierParameterSet ParameterSet to instantiate a SamplingScoreBasedClassifier.

Uses of SequenceScoringParameterSet in de.jstacs.parameters

Methods in de.jstacs.parameters that return SequenceScoringParameterSet

Modifier and Type	Method and Description
SequenceScoringParameterSet<T>	SequenceScoringParameterSet.clone()

Uses of SequenceScoringParameterSet in de.jstacs.sequenceScores.statisticalModels.differentiable.directedGraphicalModels

Subclasses of SequenceScoringParameterSet in de.jstacs.sequenceScores.statisticalModels.differentiable.directedGraphicalModels

Modifier and Type	Class and Description
class	BayesianNetworkDiffSMParameterSet Class for the parameters of a BayesianNetworkDiffSM.

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

Subclasses of SequenceScoringParameterSet in de.jstacs.sequenceScores.statisticalModels.trainable.discrete

Modifier and Type	Class and Description
class	DGTrainSMParameterSet<T extends DiscreteGraphicalTrainSM> The super ParameterSet for any parameter set of a DiscreteGraphicalTrainSM.

Uses of SequenceScoringParameterSet in de.jstacs.sequenceScores.statisticalModels.trainable.discrete.homogeneous.parameters

Subclasses of SequenceScoringParameterSet in de.jstacs.sequenceScores.statisticalModels.trainable.discrete.homogeneous.parameters

Modifier and Type	Class and Description
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 SequenceScoringParameterSet in de.jstacs.sequenceScores.statisticalModels.trainable.discrete.inhomogeneous.parameters

Subclasses of SequenceScoringParameterSet in de.jstacs.sequenceScores.statisticalModels.trainable.discrete.inhomogeneous.parameters

Modifier and Type	Class and Description
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.