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

## Uses of Class
de.jstacs.sequenceScores.statisticalModels.trainable.discrete.DiscreteGraphicalTrainSM

Packages that use DiscreteGraphicalTrainSM
de.jstacs.sequenceScores.statisticalModels.trainable.discrete |
de.jstacs.sequenceScores.statisticalModels.trainable.discrete.homogeneous |
de.jstacs.sequenceScores.statisticalModels.trainable.discrete.inhomogeneous | This package contains various inhomogeneous models.

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

Classes in de.jstacs.sequenceScores.statisticalModels.trainable.discrete with type parameters of type DiscreteGraphicalTrainSM
`class` | `DGTrainSMParameterSet<T extends DiscreteGraphicalTrainSM>` The super `ParameterSet` for any parameter set of a `DiscreteGraphicalTrainSM`.

Methods in de.jstacs.sequenceScores.statisticalModels.trainable.discrete that return DiscreteGraphicalTrainSM
`DiscreteGraphicalTrainSM` | `DiscreteGraphicalTrainSM.clone()`

Uses of DiscreteGraphicalTrainSM in de.jstacs.sequenceScores.statisticalModels.trainable.discrete.homogeneous

Subclasses of DiscreteGraphicalTrainSM in de.jstacs.sequenceScores.statisticalModels.trainable.discrete.homogeneous
`class` | `HomogeneousMM` This class implements homogeneous Markov models (hMM) of arbitrary order.
`class` | `HomogeneousTrainSM` This class implements homogeneous models of arbitrary order.

Uses of DiscreteGraphicalTrainSM in de.jstacs.sequenceScores.statisticalModels.trainable.discrete.inhomogeneous

Subclasses of DiscreteGraphicalTrainSM in de.jstacs.sequenceScores.statisticalModels.trainable.discrete.inhomogeneous
`class` | `BayesianNetworkTrainSM` The class implements a Bayesian network ( `StructureLearner.ModelType.BN` ) of fixed order.
`class` | `DAGTrainSM` The abstract class for directed acyclic graphical models (`DAGTrainSM`).
`class` | `FSDAGModelForGibbsSampling` This is the class for a fixed structure directed acyclic graphical model (see `FSDAGTrainSM`) that can be used in a Gibbs sampling.
`class` | `FSDAGTrainSM` This class can be used for any discrete fixed structure directed acyclic graphical model ( `FSDAGTrainSM`).
`class` | `InhomogeneousDGTrainSM` This class is the main class for all inhomogeneous discrete graphical models (`InhomogeneousDGTrainSM`).

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