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

Packages that use SamplingScoreBasedClassifier.SamplingScheme
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.SamplingScheme in de.jstacs.classifier.scoringFunctionBased.sampling

Methods in de.jstacs.classifier.scoringFunctionBased.sampling that return SamplingScoreBasedClassifier.SamplingScheme
`SamplingScoreBasedClassifier.SamplingScheme` | `SamplingScoreBasedClassifierParameterSet.getSamplingScheme()` Returns the sampling scheme
`static SamplingScoreBasedClassifier.SamplingScheme` | `SamplingScoreBasedClassifier.SamplingScheme.valueOf(String name)` Returns the enum constant of this type with the specified name.
`static SamplingScoreBasedClassifier.SamplingScheme[]` | `SamplingScoreBasedClassifier.SamplingScheme.values()` Returns an array containing the constants of this enum type, in the order they are declared.

Methods in de.jstacs.classifier.scoringFunctionBased.sampling with parameters of type SamplingScoreBasedClassifier.SamplingScheme
`protected double` | `SamplingScoreBasedClassifier.doOneSamplingStep(SFBasedOptimizableFunction function, SamplingScoreBasedClassifier.SamplingScheme scheme, double previousValue)` Performs one sampling step, i.e., one sampling of all parameter values.
`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

Constructors in de.jstacs.classifier.scoringFunctionBased.sampling with parameters of type SamplingScoreBasedClassifier.SamplingScheme
`SamplingGenDisMixClassifierParameterSet(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`.
`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, SamplingScoreBasedClassifier.SamplingScheme scheme, int testSamplings, int stationarySamplings, boolean freeParameters, boolean adaptVariance, String outfilePrefix)` Create a new `SamplingScoreBasedClassifierParameterSet`.

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