Package | Description |
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de.jstacs.sequenceScores.statisticalModels.trainable.mixture |
This package is the super package for any mixture model.
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de.jstacs.sequenceScores.statisticalModels.trainable.mixture.motif |
Modifier and Type | Field and Description |
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protected AbstractMixtureTrainSM.Algorithm |
AbstractMixtureTrainSM.algorithm
The type of algorithm.
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Modifier and Type | Method and Description |
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static AbstractMixtureTrainSM.Algorithm |
AbstractMixtureTrainSM.Algorithm.valueOf(String name)
Returns the enum constant of this type with the specified name.
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static AbstractMixtureTrainSM.Algorithm[] |
AbstractMixtureTrainSM.Algorithm.values()
Returns an array containing the constants of this enum type, in
the order they are declared.
|
Constructor and Description |
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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 . |
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 . |
Constructor and Description |
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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 . |
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 . |