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Packages that use AbstractMixtureTrainSM.Parameterization | |
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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.Parameterization in de.jstacs.sequenceScores.statisticalModels.trainable.mixture |
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Methods in de.jstacs.sequenceScores.statisticalModels.trainable.mixture that return AbstractMixtureTrainSM.Parameterization | |
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static AbstractMixtureTrainSM.Parameterization |
AbstractMixtureTrainSM.Parameterization.valueOf(String name)
Returns the enum constant of this type with the specified name. |
static AbstractMixtureTrainSM.Parameterization[] |
AbstractMixtureTrainSM.Parameterization.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.Parameterization | |
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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 . |
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MixtureTrainSM(int length,
TrainableStatisticalModel[] models,
double[] weights,
int starts,
double alpha,
TerminationCondition tc,
AbstractMixtureTrainSM.Parameterization parametrization)
Creates an instance using EM and fixed component probabilities. |
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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 . |
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MixtureTrainSM(int length,
TrainableStatisticalModel[] models,
int starts,
double[] componentHyperParams,
double alpha,
TerminationCondition tc,
AbstractMixtureTrainSM.Parameterization parametrization)
Creates an instance using EM and estimating the component probabilities. |
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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 . |
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StrandTrainSM(TrainableStatisticalModel model,
int starts,
double[] componentHyperParams,
double alpha,
TerminationCondition tc,
AbstractMixtureTrainSM.Parameterization parametrization)
Creates an instance using EM and estimating the component probabilities. |
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StrandTrainSM(TrainableStatisticalModel model,
int starts,
double forwardStrandProb,
double alpha,
TerminationCondition tc,
AbstractMixtureTrainSM.Parameterization parametrization)
Creates an instance using EM and fixed component probabilities. |
Uses of AbstractMixtureTrainSM.Parameterization in de.jstacs.sequenceScores.statisticalModels.trainable.mixture.motif |
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Constructors in de.jstacs.sequenceScores.statisticalModels.trainable.mixture.motif with parameters of type AbstractMixtureTrainSM.Parameterization | |
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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 . |
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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 . |
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ZOOPSTrainSM(TrainableStatisticalModel motif,
TrainableStatisticalModel bg,
boolean trainOnlyMotifModel,
int starts,
double[] componentHyperParams,
PositionPrior posPrior,
double alpha,
TerminationCondition tc,
AbstractMixtureTrainSM.Parameterization parametrization)
Creates a new ZOOPSTrainSM using EM and estimating
the probability for finding a motif. |
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ZOOPSTrainSM(TrainableStatisticalModel motif,
TrainableStatisticalModel bg,
boolean trainOnlyMotifModel,
int starts,
double motifProb,
PositionPrior posPrior,
double alpha,
TerminationCondition tc,
AbstractMixtureTrainSM.Parameterization parametrization)
Creates a new ZOOPSTrainSM using EM and fixed
probability for finding a motif. |
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