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## Uses of Class
de.jstacs.models.discrete.inhomogeneous.StructureLearner.ModelType

Packages that use StructureLearner.ModelType
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 StructureLearner.ModelType in de.jstacs.models.discrete.inhomogeneous

Methods in de.jstacs.models.discrete.inhomogeneous that return StructureLearner.ModelType
`static StructureLearner.ModelType` | `StructureLearner.ModelType.valueOf(String name)` Returns the enum constant of this type with the specified name.
`static StructureLearner.ModelType[]` | `StructureLearner.ModelType.values()` Returns an array containing the constants of this enum type, in the order they are declared.

Methods in de.jstacs.models.discrete.inhomogeneous with parameters of type StructureLearner.ModelType
`int[][]` | `StructureLearner.getStructure(Sample 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).
`static int[][]` | `StructureLearner.getStructure(Tensor t, StructureLearner.ModelType model, byte order)` This method can be used to determine the optimal structure of a model.

Uses of StructureLearner.ModelType in de.jstacs.models.discrete.inhomogeneous.parameters

Methods in de.jstacs.models.discrete.inhomogeneous.parameters with parameters of type StructureLearner.ModelType
`static String` | `IDGMParameterSet.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.models.discrete.inhomogeneous.parameters with parameters of type StructureLearner.ModelType
`BayesianNetworkModelParameterSet(AlphabetContainer alphabet, int length, double ess, String description, StructureLearner.ModelType model, byte order, StructureLearner.LearningType method)` This is the constructor of a filled `BayesianNetworkModelParameterSet` for a `BayesianNetworkModel`.

Uses of StructureLearner.ModelType in de.jstacs.models.discrete.inhomogeneous.shared

Constructors in de.jstacs.models.discrete.inhomogeneous.shared with parameters of type StructureLearner.ModelType
`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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