Overview | Package | Class | Use | Tree | Deprecated | Index | Help
PREV NEXT | FRAMES NO FRAMES

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

Packages that use SamplingScoreBasedClassifierParameterSet
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 SamplingScoreBasedClassifierParameterSet in de.jstacs.classifier.scoringFunctionBased.sampling

Subclasses of SamplingScoreBasedClassifierParameterSet in de.jstacs.classifier.scoringFunctionBased.sampling
`class` | `SamplingGenDisMixClassifierParameterSet` `ParameterSet` to instantiate a `SamplingGenDisMixClassifier`.

Fields in de.jstacs.classifier.scoringFunctionBased.sampling declared as SamplingScoreBasedClassifierParameterSet
`protected SamplingScoreBasedClassifierParameterSet` | `SamplingScoreBasedClassifier.params` Parameters

Methods in de.jstacs.classifier.scoringFunctionBased.sampling that return SamplingScoreBasedClassifierParameterSet
`SamplingScoreBasedClassifierParameterSet` | `SamplingScoreBasedClassifierParameterSet.clone()`

Constructors in de.jstacs.classifier.scoringFunctionBased.sampling with parameters of type SamplingScoreBasedClassifierParameterSet
`SamplingScoreBasedClassifier(SamplingScoreBasedClassifierParameterSet params, BurnInTest burnInTest, double[] classVariances, SamplingScoringFunction... scoringFunctions)` Creates a new `SamplingScoreBasedClassifier` using the parameters in `params`, a specified `BurnInTest` (or `null` for no burn-in test), a set of sampling variances, which may be different for each of the classes (in analogy to equivalent sample size for the Dirichlet distribution), and set set of `SamplingScoringFunction`s for each of the classes.

Overview | Package | Class | Use | Tree | Deprecated | Index | Help
PREV NEXT | FRAMES NO FRAMES