Uses of Class
de.jstacs.sequenceScores.statisticalModels.trainable.mixture.AbstractMixtureTrainSM.Algorithm

Packages that use AbstractMixtureTrainSM.Algorithm

de.jstacs.sequenceScores.statisticalModels.trainable.mixture	This package is the super package for any mixture model.
de.jstacs.sequenceScores.statisticalModels.trainable.mixture.motif

Uses of AbstractMixtureTrainSM.Algorithm in de.jstacs.sequenceScores.statisticalModels.trainable.mixture

Fields in de.jstacs.sequenceScores.statisticalModels.trainable.mixture declared as AbstractMixtureTrainSM.Algorithm

protected AbstractMixtureTrainSM.Algorithm

AbstractMixtureTrainSM.algorithm The type of algorithm.

Methods in de.jstacs.sequenceScores.statisticalModels.trainable.mixture that return AbstractMixtureTrainSM.Algorithm

static AbstractMixtureTrainSM.Algorithm	AbstractMixtureTrainSM.Algorithm.valueOf(String name) Returns the enum constant of this type with the specified name.
static AbstractMixtureTrainSM.Algorithm[]	AbstractMixtureTrainSM.Algorithm.values() Returns an array containing the constants of this enum type, in the order they are declared.

Constructors in de.jstacs.sequenceScores.statisticalModels.trainable.mixture with parameters of type AbstractMixtureTrainSM.Algorithm

AbstractMixtureTrainSM(int length, TrainableStatisticalModel[] models, boolean[] optimizeModel, int dimension, int starts, boolean estimateComponentProbs, double[] componentHyperParams, double[] weights, AbstractMixtureTrainSM.Algorithm algorithm, double alpha, TerminationCondition tc, AbstractMixtureTrainSM.Parameterization parametrization, int initialIteration, int stationaryIteration, BurnInTest burnInTest)
Creates a new AbstractMixtureTrainSM.

MixtureTrainSM(int length, TrainableStatisticalModel[] models, int starts, boolean estimateComponentProbs, double[] componentHyperParams, double[] weights, AbstractMixtureTrainSM.Algorithm algorithm, double alpha, TerminationCondition tc, AbstractMixtureTrainSM.Parameterization parametrization, int initialIteration, int stationaryIteration, BurnInTest burnInTest)
Creates a new MixtureTrainSM.

StrandTrainSM(TrainableStatisticalModel model, int starts, boolean estimateComponentProbs, double[] componentHyperParams, double forwardStrandProb, AbstractMixtureTrainSM.Algorithm algorithm, double alpha, TerminationCondition tc, AbstractMixtureTrainSM.Parameterization parametrization, int initialIteration, int stationaryIteration, BurnInTest burnInTest)
Creates a new StrandTrainSM.

Uses of AbstractMixtureTrainSM.Algorithm in de.jstacs.sequenceScores.statisticalModels.trainable.mixture.motif

Constructors in de.jstacs.sequenceScores.statisticalModels.trainable.mixture.motif with parameters of type AbstractMixtureTrainSM.Algorithm

HiddenMotifMixture(TrainableStatisticalModel[] models, boolean[] optimzeArray, int components, int starts, boolean estimateComponentProbs, double[] componentHyperParams, double[] weights, PositionPrior posPrior, AbstractMixtureTrainSM.Algorithm algorithm, double alpha, TerminationCondition tc, AbstractMixtureTrainSM.Parameterization parametrization, int initialIteration, int stationaryIteration, BurnInTest burnInTest)
Creates a new HiddenMotifMixture.

ZOOPSTrainSM(TrainableStatisticalModel motif, TrainableStatisticalModel bg, boolean trainOnlyMotifModel, int starts, double[] componentHyperParams, double[] weights, PositionPrior posPrior, AbstractMixtureTrainSM.Algorithm algorithm, double alpha, TerminationCondition tc, AbstractMixtureTrainSM.Parameterization parametrization, int initialIteration, int stationaryIteration, BurnInTest burnInTest)
Creates a new ZOOPSTrainSM.