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## 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.

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