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'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.

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, int starts, boolean estimateComponentProbs, double[] componentHyperParams, double[] weights, PositionPrior posPrior, boolean trainOnlyMotifModel, AbstractMixtureModel.Algorithm algorithm, double alpha, double eps, AbstractMixtureModel.Parameterization parametrization, int initialIteration, int stationaryIteration, BurnInTest burnInTest)
Creates a new AbstractMixtureModel.

SingleHiddenMotifMixture(Model motif, Model bg, boolean trainOnlyMotifModel, int starts, double[] componentHyperParams, double[] weights, PositionPrior posPrior, AbstractMixtureModel.Algorithm algorithm, double alpha, double eps, 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, double eps, AbstractMixtureModel.Parameterization parametrization)
Creates a single hidden motif mixture 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, double eps, AbstractMixtureModel.Parameterization parametrization)
Creates a single hidden motif mixture using EM and fixed probability for finding a motif.