Package | Description |
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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.
|
Modifier and Type | Class and Description |
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class |
VarianceRatioBurnInTestParameterSet
Class for the parameters of a
VarianceRatioBurnInTest . |
Modifier and Type | Method and Description |
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AbstractBurnInTestParameterSet |
AbstractBurnInTestParameterSet.clone() |
AbstractBurnInTestParameterSet |
AbstractBurnInTest.getCurrentParameterSet() |
Constructor and Description |
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AbstractBurnInTest(AbstractBurnInTestParameterSet parameters)
This is the main constructor that creates a burn-in test given a specified
set of parameters
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Constructor and Description |
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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. |