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## Package de.jstacs.classifier.scoringFunctionBased

Provides the classes for `Classifier`s that are based on `ScoringFunction`s.

See:
Description

Class Summary
AbstractMultiThreadedOptimizableFunction | This class enables the user to exploit all CPUs of an computer by using threads.
AbstractOptimizableFunction | This class extends `OptimizableFunction` and implements some common methods.
OptimizableFunction | This is the main function for the `ScoreClassifier`.
ScoreClassifier | This abstract class implements the main functionality of a `ScoringFunction` based classifier.
ScoreClassifierParameterSet | A set of `Parameter`s for any `ScoreClassifier`.
SFBasedOptimizableFunction | This abstract class is the basis of all multi-threaded `OptimizableFunction`s that are based on `ScoringFunction`s.

Enum Summary
OptimizableFunction.KindOfParameter | This `enum` defines the kinds of parameters that can be returned by the method `OptimizableFunction.getParameters(KindOfParameter)`.

## Package de.jstacs.classifier.scoringFunctionBased Description

Provides the classes for `Classifier`s that are based on `ScoringFunction`s.
It includes a sub-package for discriminative objective functions, namely conditional likelihood and supervised posterior, and a separate sub-package for the parameter priors, that can be used for the supervised posterior.

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