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

Packages that use SamplingScoreBasedClassifier
de.jstacs.classifier.scoringFunctionBased.sampling | Provides the classes for `AbstractScoreBasedClassifier`s that are based on `SamplingScoringFunction`s and that sample parameters using the Metropolis-Hastings algorithm.

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

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

Constructor parameters in de.jstacs.classifier.scoringFunctionBased.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`.

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