Uses of Class
de.jstacs.classifiers.differentiableSequenceScoreBased.sampling.SamplingScoreBasedClassifierParameterSet

Packages that use SamplingScoreBasedClassifierParameterSet

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 SamplingScoreBasedClassifierParameterSet in de.jstacs.classifiers.differentiableSequenceScoreBased.sampling

Subclasses of SamplingScoreBasedClassifierParameterSet in de.jstacs.classifiers.differentiableSequenceScoreBased.sampling

class

SamplingGenDisMixClassifierParameterSet ParameterSet to instantiate a SamplingGenDisMixClassifier.

Fields in de.jstacs.classifiers.differentiableSequenceScoreBased.sampling declared as SamplingScoreBasedClassifierParameterSet

protected SamplingScoreBasedClassifierParameterSet

SamplingScoreBasedClassifier.params Parameters

Methods in de.jstacs.classifiers.differentiableSequenceScoreBased.sampling that return SamplingScoreBasedClassifierParameterSet

SamplingScoreBasedClassifierParameterSet

SamplingScoreBasedClassifierParameterSet.clone()

Constructors in de.jstacs.classifiers.differentiableSequenceScoreBased.sampling with parameters of type SamplingScoreBasedClassifierParameterSet

SamplingScoreBasedClassifier(SamplingScoreBasedClassifierParameterSet params, BurnInTest burnInTest, double[] classVariances, SamplingDifferentiableStatisticalModel... scoringFunctions)
Creates a new SamplingScoreBasedClassifier using the parameters in params, a specified BurnInTest (or null for no burn-in test), a set of sampling variances, which may be different for each of the classes (in analogy to equivalent sample size for the Dirichlet distribution), and set set of SamplingDifferentiableStatisticalModels for each of the classes.