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Packages that use SamplingScoreBasedClassifier.SamplingScheme | |
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de.jstacs.classifiers.differentiableSequenceScoreBased.sampling | Provides the classes for AbstractScoreBasedClassifier s that are based on
SamplingDifferentiableStatisticalModel s
and that sample parameters using the Metropolis-Hastings algorithm. |
Uses of SamplingScoreBasedClassifier.SamplingScheme in de.jstacs.classifiers.differentiableSequenceScoreBased.sampling |
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Methods in de.jstacs.classifiers.differentiableSequenceScoreBased.sampling that return SamplingScoreBasedClassifier.SamplingScheme | |
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SamplingScoreBasedClassifier.SamplingScheme |
SamplingScoreBasedClassifierParameterSet.getSamplingScheme()
Returns the sampling scheme |
static SamplingScoreBasedClassifier.SamplingScheme |
SamplingScoreBasedClassifier.SamplingScheme.valueOf(String name)
Returns the enum constant of this type with the specified name. |
static SamplingScoreBasedClassifier.SamplingScheme[] |
SamplingScoreBasedClassifier.SamplingScheme.values()
Returns an array containing the constants of this enum type, in the order they are declared. |
Methods in de.jstacs.classifiers.differentiableSequenceScoreBased.sampling with parameters of type SamplingScoreBasedClassifier.SamplingScheme | |
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protected double |
SamplingScoreBasedClassifier.doOneSamplingStep(DiffSSBasedOptimizableFunction function,
SamplingScoreBasedClassifier.SamplingScheme scheme,
double previousValue)
Performs one sampling step, i.e., one sampling of all parameter values. |
protected double |
SamplingScoreBasedClassifier.sampleNSteps(DiffSSBasedOptimizableFunction function,
SamplingScoreBasedClassifier.DiffSMSamplingComponent component,
BurnInTest test,
int numSteps,
SamplingScoreBasedClassifier.SamplingScheme scheme)
Samples a predefined number of steps appended to the current sampling |
Constructors in de.jstacs.classifiers.differentiableSequenceScoreBased.sampling with parameters of type SamplingScoreBasedClassifier.SamplingScheme | |
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SamplingGenDisMixClassifierParameterSet(AlphabetContainer alphabet,
int length,
int numStarts,
SamplingScoreBasedClassifier.SamplingScheme scheme,
int testSamplings,
int stationarySamplings,
boolean freeParameters,
boolean adaptVariance,
String outfilePrefix,
int threads)
Create a new SamplingGenDisMixClassifierParameterSet . |
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SamplingGenDisMixClassifierParameterSet(Class<? extends SamplingScoreBasedClassifier> instanceClass,
AlphabetContainer alphabet,
int length,
int numStarts,
SamplingScoreBasedClassifier.SamplingScheme scheme,
int testSamplings,
int stationarySamplings,
boolean freeParameters,
boolean adaptVariance,
String outfilePrefix,
int threads)
Create a new SamplingGenDisMixClassifierParameterSet . |
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SamplingScoreBasedClassifierParameterSet(Class<? extends SamplingScoreBasedClassifier> instanceClass,
AlphabetContainer alphabet,
int length,
int numStarts,
SamplingScoreBasedClassifier.SamplingScheme scheme,
int testSamplings,
int stationarySamplings,
boolean freeParameters,
boolean adaptVariance,
String outfilePrefix)
Create a new SamplingScoreBasedClassifierParameterSet . |
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