Constructor and Description |
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ZOOPSModel(AbstractVariableStructureModel motifModel,
de.jstacs.sequenceScores.statisticalModels.trainable.AbstractTrainableStatisticalModel flankingModel,
int numberOfIterations,
int numberOfRestarts)
Creates ZOOPS model for learning via stochastic maximization algorithm
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ZOOPSModel(AbstractVariableStructureModel motifModel,
de.jstacs.sequenceScores.statisticalModels.trainable.AbstractTrainableStatisticalModel flankingModel,
int numberOfIterations,
int numberOfRestarts,
int lengthOfBurnIn,
int lagInStationaryPhase)
Creates ZOOPS model for learning via Gibbs sampling algorithm for model averaging
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Modifier and Type | Method and Description |
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AbstractVariableStructureModel |
AbstractVariableStructureModel.clone() |
Modifier and Type | Class and Description |
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class |
AbstractParsimoniousModel
Abstract class for all trainable statistical models that include parsimonious context trees (PCTs).
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Modifier and Type | Class and Description |
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class |
InhomogeneousPMM
This class represents Inhomogeneous Parsimonious Markov Models (PMMs).
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