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

Packages that use StructureLearner.LearningType
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
`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
`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
`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
`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
`SharedStructureClassifier(int length, StructureLearner.ModelType model, byte order, StructureLearner.LearningType method, FSDAGTrainSM... models)` Creates a new `SharedStructureClassifier` from given `FSDAGTrainSM`s.

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