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 FSDAGModels.

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.