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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.
de.jstacs.models.mixture.motif |

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 are 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, TerminationCondition tc, AbstractMixtureModel.Parameterization parametrization, int initialIteration, int stationaryIteration, BurnInTest burnInTest)` Creates a new `AbstractMixtureModel`.
`MixtureModel(int length, Model[] models, double[] weights, int starts, double alpha, TerminationCondition tc, 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, TerminationCondition tc, AbstractMixtureModel.Parameterization parametrization, int initialIteration, int stationaryIteration, BurnInTest burnInTest)` Creates a new `MixtureModel`.
`MixtureModel(int length, Model[] models, int starts, double[] componentHyperParams, double alpha, TerminationCondition tc, 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, TerminationCondition tc, AbstractMixtureModel.Parameterization parametrization, int initialIteration, int stationaryIteration, BurnInTest burnInTest)` Creates a new `StrandModel`.
`StrandModel(Model model, int starts, double[] componentHyperParams, double alpha, TerminationCondition tc, AbstractMixtureModel.Parameterization parametrization)` Creates an instance using EM and estimating the component probabilities.
`StrandModel(Model model, int starts, double forwardStrandProb, double alpha, TerminationCondition tc, AbstractMixtureModel.Parameterization parametrization)` Creates an instance using EM and fixed component probabilities.

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

Constructors in de.jstacs.models.mixture.motif with parameters of type AbstractMixtureModel.Parameterization
`HiddenMotifMixture(Model[] models, boolean[] optimzeArray, int components, int starts, boolean estimateComponentProbs, double[] componentHyperParams, double[] weights, PositionPrior posPrior, AbstractMixtureModel.Algorithm algorithm, double alpha, TerminationCondition tc, AbstractMixtureModel.Parameterization parametrization, int initialIteration, int stationaryIteration, BurnInTest burnInTest)` Creates a new `HiddenMotifMixture`.
`SingleHiddenMotifMixture(Model motif, Model bg, boolean trainOnlyMotifModel, int starts, double[] componentHyperParams, double[] weights, PositionPrior posPrior, AbstractMixtureModel.Algorithm algorithm, double alpha, TerminationCondition tc, AbstractMixtureModel.Parameterization parametrization, int initialIteration, int stationaryIteration, BurnInTest burnInTest)` Creates a new `SingleHiddenMotifMixture`.
`SingleHiddenMotifMixture(Model motif, Model bg, boolean trainOnlyMotifModel, int starts, double[] componentHyperParams, PositionPrior posPrior, double alpha, TerminationCondition tc, AbstractMixtureModel.Parameterization parametrization)` Creates a new `SingleHiddenMotifMixture` using EM and estimating the probability for finding a motif.
`SingleHiddenMotifMixture(Model motif, Model bg, boolean trainOnlyMotifModel, int starts, double motifProb, PositionPrior posPrior, double alpha, TerminationCondition tc, AbstractMixtureModel.Parameterization parametrization)` Creates a new `SingleHiddenMotifMixture` using EM and fixed probability for finding a motif.

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