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## Uses of Class
de.jstacs.parameters.SequenceScoringParameterSet

Packages that use SequenceScoringParameterSet
de.jstacs.classifiers.differentiableSequenceScoreBased | Provides the classes for `Classifier`s that are based on `SequenceScore`s.
de.jstacs.classifiers.differentiableSequenceScoreBased.gendismix | Provides an implementation of a classifier that allows to train the parameters of a set of `DifferentiableStatisticalModel`s by a unified generative-discriminative learning principle
de.jstacs.classifiers.differentiableSequenceScoreBased.sampling | Provides the classes for `AbstractScoreBasedClassifier`s that are based on `SamplingDifferentiableStatisticalModel`s 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 `DifferentiableStatisticalModel`s 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
`class` | `ScoreClassifierParameterSet` A set of `Parameter`s for any `ScoreClassifier`.

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

Subclasses of SequenceScoringParameterSet in de.jstacs.classifiers.differentiableSequenceScoreBased.gendismix
`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
`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
`SequenceScoringParameterSet<T>` | `SequenceScoringParameterSet.clone()`

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

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

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