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## Uses of Class
de.jstacs.models.discrete.inhomogeneous.FSDAGModel

Packages that use FSDAGModel
de.jstacs.models | Provides the interface `Model` and its abstract implementation `AbstractModel`, which is the super class of all other models.
de.jstacs.models.discrete.inhomogeneous | This package contains various inhomogeneous models.
de.jstacs.models.discrete.inhomogeneous.parameters |
de.jstacs.models.discrete.inhomogeneous.shared |

Uses of FSDAGModel in de.jstacs.models

Methods in de.jstacs.models that return FSDAGModel
`static FSDAGModel` | `ModelFactory.createPWM(AlphabetContainer con, int length, double ess)` This method returns a position weight matrix (PWM).

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

Subclasses of FSDAGModel in de.jstacs.models.discrete.inhomogeneous
`class` | `FSDAGModelForGibbsSampling` This is the class for a fixed structure directed acyclic graphical model (see `FSDAGModel`) that can be used in a Gibbs sampling.

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

Constructor parameters in de.jstacs.models.discrete.inhomogeneous.parameters with type arguments of type FSDAGModel
`FSDAGMParameterSet(Class<? extends FSDAGModel> clazz)` This the constructor creates an empty `FSDAGMParameterSet` from the class that can be instantiated using this `FSDAGMParameterSet`.
`FSDAGMParameterSet(Class<? extends FSDAGModel> clazz, AlphabetContainer alphabet, int length, double ess, String description, String graph)` This constructor creates an `FSDAGMParameterSet` instance for the specified class.

Uses of FSDAGModel in de.jstacs.models.discrete.inhomogeneous.shared

Constructors in de.jstacs.models.discrete.inhomogeneous.shared with parameters of type FSDAGModel
`SharedStructureClassifier(int length, StructureLearner.ModelType model, byte order, StructureLearner.LearningType method, FSDAGModel... models)` Creates a new `SharedStructureClassifier` from given `FSDAGModel`s.
`SharedStructureMixture(FSDAGModel[] m, StructureLearner.ModelType model, byte order, int starts, boolean estimateComponentProbs, double[] weights, double alpha, TerminationCondition tc)` Creates a new `SharedStructureMixture` instance with all relevant values.
`SharedStructureMixture(FSDAGModel[] m, StructureLearner.ModelType model, byte order, int starts, double[] weights, double alpha, TerminationCondition tc)` Creates a new `SharedStructureMixture` instance with fixed component weights.
`SharedStructureMixture(FSDAGModel[] m, StructureLearner.ModelType model, byte order, int starts, double alpha, TerminationCondition tc)` Creates a new `SharedStructureMixture` instance which estimates the component probabilities/weights.

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