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## Uses of Class
de.jstacs.models.discrete.DGMParameterSet

Packages that use DGMParameterSet
de.jstacs.models.discrete |
de.jstacs.models.discrete.homogeneous |
de.jstacs.models.discrete.homogeneous.parameters |
de.jstacs.models.discrete.inhomogeneous | This package contains various inhomogeneous models.
de.jstacs.models.discrete.inhomogeneous.parameters |
de.jstacs.models.mixture.gibbssampling | This package contains many classes that can be used while a Gibbs sampling.

Uses of DGMParameterSet in de.jstacs.models.discrete

Fields in de.jstacs.models.discrete declared as DGMParameterSet
`protected DGMParameterSet` | `DiscreteGraphicalModel.params` The current parameter set of the model.

Methods in de.jstacs.models.discrete that return DGMParameterSet
`DGMParameterSet` | `DGMParameterSet.clone()`
`DGMParameterSet` | `DiscreteGraphicalModel.getCurrentParameterSet()`

Methods in de.jstacs.models.discrete with parameters of type DGMParameterSet
`protected void` | `DiscreteGraphicalModel.set(DGMParameterSet params, boolean trained)` Sets the parameters as internal parameters and does some essential computations.

Constructors in de.jstacs.models.discrete with parameters of type DGMParameterSet
`DiscreteGraphicalModel(DGMParameterSet params)` The default constructor.

Uses of DGMParameterSet in de.jstacs.models.discrete.homogeneous

Methods in de.jstacs.models.discrete.homogeneous with parameters of type DGMParameterSet
`protected void` | `HomogeneousModel.set(DGMParameterSet params, boolean trained)`
`protected void` | `HomogeneousMM.set(DGMParameterSet params, boolean trained)`

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

Subclasses of DGMParameterSet 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 DGMParameterSet in de.jstacs.models.discrete.inhomogeneous

Methods in de.jstacs.models.discrete.inhomogeneous with parameters of type DGMParameterSet
`protected void` | `InhomogeneousDGM.set(DGMParameterSet parameter, boolean trained)`
`protected void` | `FSDAGModel.set(DGMParameterSet params, boolean trained)`
`protected void` | `BayesianNetworkModel.set(DGMParameterSet parameter, boolean trained)`

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

Subclasses of DGMParameterSet 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` (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 DGMParameterSet in de.jstacs.models.mixture.gibbssampling

Subclasses of DGMParameterSet in de.jstacs.models.mixture.gibbssampling
`class` | `FSDAGModelForGibbsSamplingParameterSet` The class for the parameters of a `FSDAGModelForGibbsSampling`.

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