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

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

Subclasses of SamplingScoreBasedClassifier in de.jstacs.classifiers.differentiableSequenceScoreBased.sampling
 class SamplingGenDisMixClassifier
          A classifier that samples its parameters from a LogGenDisMixFunction using the Metropolis-Hastings algorithm.
 

Constructor parameters in de.jstacs.classifiers.differentiableSequenceScoreBased.sampling with type arguments of type SamplingScoreBasedClassifier
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, int testSamplings, int stationarySamplings, String outfilePrefix)
          Create a new SamplingScoreBasedClassifierParameterSet with a grouped sampling scheme, sampling all parameters (and not only the free ones), and adaption of the variance.
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.