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## Uses of Package
de.jstacs.classifier.scoringFunctionBased

Packages that use de.jstacs.classifier.scoringFunctionBased
de.jstacs.classifier.scoringFunctionBased | Provides the classes for `Classifier`s that are based on `ScoringFunction`s.
de.jstacs.classifier.scoringFunctionBased.gendismix | Provides an implementation of a classifier that allows to train the parameters of a set of `NormalizableScoringFunction`s by a unified generative-discriminative learning principle
de.jstacs.classifier.scoringFunctionBased.msp | Provides an implementation of a classifier that allows to train the parameters of a set of `ScoringFunctions` either by maximum supervised posterior (MSP) or by maximum conditional likelihood (MCL)
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.
de.jstacs.motifDiscovery | This package provides the framework including the interface for any de novo motif discoverer

Classes in de.jstacs.classifier.scoringFunctionBased used by de.jstacs.classifier.scoringFunctionBased
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`.
OptimizableFunction.KindOfParameter This `enum` defines the kinds of parameters that can be returned by the method `OptimizableFunction.getParameters(KindOfParameter)`.
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.

Classes in de.jstacs.classifier.scoringFunctionBased used by de.jstacs.classifier.scoringFunctionBased.gendismix
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`.
OptimizableFunction.KindOfParameter This `enum` defines the kinds of parameters that can be returned by the method `OptimizableFunction.getParameters(KindOfParameter)`.
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.

Classes in de.jstacs.classifier.scoringFunctionBased used by de.jstacs.classifier.scoringFunctionBased.msp
ScoreClassifier This abstract class implements the main functionality of a `ScoringFunction` based classifier.

Classes in de.jstacs.classifier.scoringFunctionBased used by de.jstacs.classifier.scoringFunctionBased.sampling
SFBasedOptimizableFunction This abstract class is the basis of all multi-threaded `OptimizableFunction`s that are based on `ScoringFunction`s.

Classes in de.jstacs.classifier.scoringFunctionBased used by de.jstacs.motifDiscovery
OptimizableFunction.KindOfParameter This `enum` defines the kinds of parameters that can be returned by the method `OptimizableFunction.getParameters(KindOfParameter)`.
SFBasedOptimizableFunction This abstract class is the basis of all multi-threaded `OptimizableFunction`s that are based on `ScoringFunction`s.

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