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## Uses of Class
de.jstacs.models.mixture.AbstractMixtureModel.Parameterization

Packages that use AbstractMixtureModel.Parameterization
de.jstacs.models.mixture | This package is the super package for any mixture model.

Uses of AbstractMixtureModel.Parameterization in de.jstacs.models.mixture

Methods in de.jstacs.models.mixture that return AbstractMixtureModel.Parameterization
`static AbstractMixtureModel.Parameterization` | `AbstractMixtureModel.Parameterization.valueOf(String name)` Returns the enum constant of this type with the specified name.
`static AbstractMixtureModel.Parameterization[]` | `AbstractMixtureModel.Parameterization.values()` Returns an array containing the constants of this enum type, in the order they're declared.

Constructors in de.jstacs.models.mixture with parameters of type AbstractMixtureModel.Parameterization
`AbstractMixtureModel(int length, Model[] models, boolean[] optimizeModel, int dimension, int starts, boolean estimateComponentProbs, double[] componentHyperParams, double[] weights, AbstractMixtureModel.Algorithm algorithm, double alpha, double eps, AbstractMixtureModel.Parameterization parametrization, int initialIteration, int stationaryIteration, BurnInTest burnInTest)` Creates a new AbstractMixtureModel.
`MixtureModel(int length, Model[] models, double[] weights, int starts, double alpha, double eps, AbstractMixtureModel.Parameterization parametrization)` Creates an instance using EM and fixed component probabilities.
`MixtureModel(int length, Model[] models, int starts, boolean estimateComponentProbs, double[] componentHyperParams, double[] weights, AbstractMixtureModel.Algorithm algorithm, double alpha, double eps, AbstractMixtureModel.Parameterization parametrization, int initialIteration, int stationaryIteration, BurnInTest burnInTest)` Creates a new MixtureModel.
`MixtureModel(int length, Model[] models, int starts, double[] componentHyperParams, double alpha, double eps, AbstractMixtureModel.Parameterization parametrization)` Creates an instance using EM and estimating the component probabilities.
`StrandModel(Model model, int starts, boolean estimateComponentProbs, double[] componentHyperParams, double forwardStrandProb, AbstractMixtureModel.Algorithm algorithm, double alpha, double eps, AbstractMixtureModel.Parameterization parametrization, int initialIteration, int stationaryIteration, BurnInTest burnInTest)` Creates a new StrandModel.
`StrandModel(Model model, int starts, double[] componentHyperParams, double alpha, double eps, AbstractMixtureModel.Parameterization parametrization)` Creates an instance using EM and estimating the component probabilities.
`StrandModel(Model model, int starts, double forwardStrandProb, double alpha, double eps, AbstractMixtureModel.Parameterization parametrization)` Creates an instance using EM and fixed component probabilities.

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