Uses of Class
de.jstacs.sequenceScores.statisticalModels.trainable.discrete.inhomogeneous.StructureLearner.LearningType

Packages that use StructureLearner.LearningType

Package	Description
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 StructureLearner.LearningType in de.jstacs.sequenceScores.statisticalModels.trainable.discrete.inhomogeneous

Methods in de.jstacs.sequenceScores.statisticalModels.trainable.discrete.inhomogeneous that return StructureLearner.LearningType

Modifier and Type	Method and Description
static StructureLearner.LearningType	StructureLearner.LearningType.valueOf(String name) Returns the enum constant of this type with the specified name.
static StructureLearner.LearningType[]	StructureLearner.LearningType.values() Returns an array containing the constants of this enum type, in the order they are declared.

Methods in de.jstacs.sequenceScores.statisticalModels.trainable.discrete.inhomogeneous with parameters of type StructureLearner.LearningType

Modifier and Type	Method and Description
int[][]	StructureLearner.getStructure(DataSet data, double[] weights, StructureLearner.ModelType model, byte order, StructureLearner.LearningType method) This method finds the optimal structure of a model by using a given learning method (in some sense).
SymmetricTensor	StructureLearner.getTensor(DataSet data, double[] weights, byte order, StructureLearner.LearningType method) This method can be used to compute a Tensor that can be used to determine the optimal structure.

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

Methods in de.jstacs.sequenceScores.statisticalModels.trainable.discrete.inhomogeneous.parameters with parameters of type StructureLearner.LearningType

Modifier and Type	Method and Description
static String	IDGTrainSMParameterSet.getModelInstanceName(StructureLearner.ModelType model, byte order, StructureLearner.LearningType method, double ess) This method returns a short textual representation of the model instance.

Constructors in de.jstacs.sequenceScores.statisticalModels.trainable.discrete.inhomogeneous.parameters with parameters of type StructureLearner.LearningType

Constructor and Description
BayesianNetworkTrainSMParameterSet(AlphabetContainer alphabet, int length, double ess, String description, StructureLearner.ModelType model, byte order, StructureLearner.LearningType method) This is the constructor of a filled BayesianNetworkTrainSMParameterSet for a BayesianNetworkTrainSM.

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

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

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