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

Packages that use SamplingScoreBasedClassifier.ScoringFunctionSamplingComponent
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.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

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