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Packages that use AbstractBurnInTestParameterSet | |
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de.jstacs.sampling | This package contains many classes that can be used while a sampling. |
de.jstacs.sequenceScores.statisticalModels.trainable.hmm.training | The package provides all classes used to determine the training algorithm of a hidden Markov model |
Uses of AbstractBurnInTestParameterSet in de.jstacs.sampling |
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Subclasses of AbstractBurnInTestParameterSet in de.jstacs.sampling | |
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class |
VarianceRatioBurnInTestParameterSet
Class for the parameters of a VarianceRatioBurnInTest . |
Methods in de.jstacs.sampling that return AbstractBurnInTestParameterSet | |
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AbstractBurnInTestParameterSet |
AbstractBurnInTestParameterSet.clone()
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AbstractBurnInTestParameterSet |
AbstractBurnInTest.getCurrentParameterSet()
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Constructors in de.jstacs.sampling with parameters of type AbstractBurnInTestParameterSet | |
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AbstractBurnInTest(AbstractBurnInTestParameterSet parameters)
This is the main constructor that creates a burn-in test given a specified set of parameters |
Uses of AbstractBurnInTestParameterSet in de.jstacs.sequenceScores.statisticalModels.trainable.hmm.training |
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Constructors in de.jstacs.sequenceScores.statisticalModels.trainable.hmm.training with parameters of type AbstractBurnInTestParameterSet | |
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SamplingHMMTrainingParameterSet(int starts,
int stepsPerIteration,
int stationarySteps,
AbstractBurnInTestParameterSet burnInTestParameters)
This is the main constructor creating an already filled parameter set for training an AbstractHMM using a sampling strategy. |
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