Uses of Class
de.jstacs.classifiers.differentiableSequenceScoreBased.sampling.SamplingScoreBasedClassifier.SamplingScheme

Packages that use SamplingScoreBasedClassifier.SamplingScheme

de.jstacs.classifiers.differentiableSequenceScoreBased.sampling

Provides the classes for AbstractScoreBasedClassifiers that are based on SamplingDifferentiableStatisticalModels and that sample parameters using the Metropolis-Hastings algorithm.

Uses of SamplingScoreBasedClassifier.SamplingScheme in de.jstacs.classifiers.differentiableSequenceScoreBased.sampling

Methods in de.jstacs.classifiers.differentiableSequenceScoreBased.sampling that return SamplingScoreBasedClassifier.SamplingScheme

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

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

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.

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.

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.