Overview | Package | Class | Use | Tree | Deprecated | Index | Help
PREV NEXT | FRAMES NO FRAMES

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

Packages that use DiscreteGraphicalModel
de.jstacs.models.discrete |
de.jstacs.models.discrete.homogeneous |
de.jstacs.models.discrete.inhomogeneous | This package contains various inhomogeneous models.

Uses of DiscreteGraphicalModel in de.jstacs.models.discrete

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

Constructor parameters in de.jstacs.models.discrete with type arguments of type DiscreteGraphicalModel
`DGMParameterSet(Class<? extends DiscreteGraphicalModel> instanceClass, AlphabetContainer alphabet, double ess, String description)` The constructor for models that can handle variable lengths.
`DGMParameterSet(Class<? extends DiscreteGraphicalModel> instanceClass, AlphabetContainer alphabet, int length, double ess, String description)` The constructor for models that can handle only sequences of fixed length given by `length`.
`DGMParameterSet(Class<? extends DiscreteGraphicalModel> instanceClass, boolean simple, boolean variableLength)` An empty constructor.

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

Subclasses of DiscreteGraphicalModel in de.jstacs.models.discrete.homogeneous
`class` | `HomogeneousMM` This class implements homogeneous Markov models (hMM) of arbitrary order.
`class` | `HomogeneousModel` This class implements homogeneous models of arbitrary order.

Uses of DiscreteGraphicalModel in de.jstacs.models.discrete.inhomogeneous

Subclasses of DiscreteGraphicalModel in de.jstacs.models.discrete.inhomogeneous
`class` | `BayesianNetworkModel` The class implements a Bayesian network ( `StructureLearner.ModelType.BN` ) of fixed order.
`class` | `DAGModel` The abstract class for directed acyclic graphical models (`DAGModel`).
`class` | `FSDAGModel` This class can be used for any discrete fixed structure directed acyclic graphical model ( `FSDAGModel`).
`class` | `FSDAGModelForGibbsSampling` This is the class for a fixed structure directed acyclic graphical model (see `FSDAGModel`) that can be used in a Gibbs sampling.
`class` | `InhomogeneousDGM` This class is the main class for all inhomogeneous discrete graphical models (`InhomogeneousDGM`).

Overview | Package | Class | Use | Tree | Deprecated | Index | Help
PREV NEXT | FRAMES NO FRAMES