Uses of Class
de.jstacs.sequenceScores.statisticalModels.trainable.discrete.inhomogeneous.FSDAGTrainSM

Packages that use FSDAGTrainSM

de.jstacs.sequenceScores.statisticalModels.trainable	Provides all TrainableStatisticalModels, which can be learned from a single DataSet.
de.jstacs.sequenceScores.statisticalModels.trainable.discrete.inhomogeneous	This package contains various inhomogeneous models.
de.jstacs.sequenceScores.statisticalModels.trainable.discrete.inhomogeneous.parameters
de.jstacs.sequenceScores.statisticalModels.trainable.discrete.inhomogeneous.shared

Uses of FSDAGTrainSM in de.jstacs.sequenceScores.statisticalModels.trainable

Methods in de.jstacs.sequenceScores.statisticalModels.trainable that return FSDAGTrainSM

static FSDAGTrainSM	TrainableStatisticalModelFactory.createInhomogeneousMarkovModel(AlphabetContainer con, int length, double ess, byte order) This method returns a inhomogeneous Markov model (IMM) with user-specified order.
static FSDAGTrainSM	TrainableStatisticalModelFactory.createPWM(AlphabetContainer con, int length, double ess) This method returns a position weight matrix (PWM).

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

Subclasses of FSDAGTrainSM in de.jstacs.sequenceScores.statisticalModels.trainable.discrete.inhomogeneous

class

FSDAGModelForGibbsSampling This is the class for a fixed structure directed acyclic graphical model (see FSDAGTrainSM) that can be used in a Gibbs sampling.

Uses of FSDAGTrainSM in de.jstacs.sequenceScores.statisticalModels.trainable.discrete.inhomogeneous.parameters

Constructor parameters in de.jstacs.sequenceScores.statisticalModels.trainable.discrete.inhomogeneous.parameters with type arguments of type FSDAGTrainSM

FSDAGTrainSMParameterSet(Class<? extends FSDAGTrainSM> clazz)
This the constructor creates an empty FSDAGTrainSMParameterSet from the class that can be instantiated using this FSDAGTrainSMParameterSet.

FSDAGTrainSMParameterSet(Class<? extends FSDAGTrainSM> clazz, AlphabetContainer alphabet, int length, double ess, String description, String graph)
This constructor creates an FSDAGTrainSMParameterSet instance for the specified class.

Uses of FSDAGTrainSM in de.jstacs.sequenceScores.statisticalModels.trainable.discrete.inhomogeneous.shared

Constructors in de.jstacs.sequenceScores.statisticalModels.trainable.discrete.inhomogeneous.shared with parameters of type FSDAGTrainSM

SharedStructureClassifier(int length, StructureLearner.ModelType model, byte order, StructureLearner.LearningType method, FSDAGTrainSM... models)
Creates a new SharedStructureClassifier from given FSDAGTrainSMs.

SharedStructureMixture(FSDAGTrainSM[] 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(FSDAGTrainSM[] m, StructureLearner.ModelType model, byte order, int starts, double[] weights, double alpha, TerminationCondition tc)
Creates a new SharedStructureMixture instance with fixed component weights.

SharedStructureMixture(FSDAGTrainSM[] m, StructureLearner.ModelType model, byte order, int starts, double alpha, TerminationCondition tc)
Creates a new SharedStructureMixture instance which estimates the component probabilities/weights.