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, boolean[] optimzeArray, int components, int starts, boolean estimateComponentProbs, 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 HiddenMotifMixture.
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 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, double eps, AbstractMixtureModel.Parameterization parametrization)
          Creates a new SingleHiddenMotifMixture using EM and fixed probability for finding a motif.