Uses of Class
de.jstacs.classifier.scoringFunctionBased.sampling.SamplingScoreBasedClassifier.ScoringFunctionSamplingComponent

Packages that use SamplingScoreBasedClassifier.ScoringFunctionSamplingComponent

de.jstacs.classifier.scoringFunctionBased.sampling

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

Uses of SamplingScoreBasedClassifier.ScoringFunctionSamplingComponent in de.jstacs.classifier.scoringFunctionBased.sampling

Methods in de.jstacs.classifier.scoringFunctionBased.sampling that return SamplingScoreBasedClassifier.ScoringFunctionSamplingComponent

protected SamplingScoreBasedClassifier.ScoringFunctionSamplingComponent

SamplingScoreBasedClassifier.getSamplingComponent() Returns a sampling component suited for this SamplingScoreBasedClassifier

Methods in de.jstacs.classifier.scoringFunctionBased.sampling with parameters of type SamplingScoreBasedClassifier.ScoringFunctionSamplingComponent

protected void	SamplingScoreBasedClassifier.precomputeBurnInLength(SamplingScoreBasedClassifier.ScoringFunctionSamplingComponent sfsc) Precomputes the length of the burn-in phase, e.g. useful for computing scores of multiple sequences
protected void	SamplingScoreBasedClassifier.sample(SamplingScoreBasedClassifier.ScoringFunctionSamplingComponent sfsc, SFBasedOptimizableFunction function) Samples as many steps as needed to get into the stationary phase according to SamplingScoreBasedClassifier.burnInTest and then samples the number of stationary steps as set in SamplingScoreBasedClassifier.params.
protected double	SamplingScoreBasedClassifier.sampleNSteps(SFBasedOptimizableFunction function, SamplingScoreBasedClassifier.ScoringFunctionSamplingComponent component, BurnInTest test, int numSteps, SamplingScoreBasedClassifier.SamplingScheme scheme) Samples a predefined number of steps appended to the current sampling