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

Packages that use SamplingScoreBasedClassifier.DiffSMSamplingComponent
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.DiffSMSamplingComponent in de.jstacs.classifiers.differentiableSequenceScoreBased.sampling
 

Methods in de.jstacs.classifiers.differentiableSequenceScoreBased.sampling that return SamplingScoreBasedClassifier.DiffSMSamplingComponent
protected  SamplingScoreBasedClassifier.DiffSMSamplingComponent SamplingScoreBasedClassifier.getSamplingComponent()
          Returns a sampling component suited for this SamplingScoreBasedClassifier
 

Methods in de.jstacs.classifiers.differentiableSequenceScoreBased.sampling with parameters of type SamplingScoreBasedClassifier.DiffSMSamplingComponent
protected  void SamplingScoreBasedClassifier.precomputeBurnInLength(SamplingScoreBasedClassifier.DiffSMSamplingComponent sfsc)
          Precomputes the length of the burn-in phase, e.g.
protected  void SamplingScoreBasedClassifier.sample(SamplingScoreBasedClassifier.DiffSMSamplingComponent sfsc, DiffSSBasedOptimizableFunction 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(DiffSSBasedOptimizableFunction function, SamplingScoreBasedClassifier.DiffSMSamplingComponent component, BurnInTest test, int numSteps, SamplingScoreBasedClassifier.SamplingScheme scheme)
          Samples a predefined number of steps appended to the current sampling