Uses of Package
de.jstacs.classifier.scoringFunctionBased

Packages that use de.jstacs.classifier.scoringFunctionBased

de.jstacs.classifier.scoringFunctionBased	Provides the classes for Classifiers that are based on ScoringFunctions.
de.jstacs.classifier.scoringFunctionBased.gendismix	Provides an implementation of a classifier that allows to train the parameters of a set of NormalizableScoringFunctions 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 AbstractScoreBasedClassifiers that are based on SamplingScoringFunctions 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 Parameters for any ScoreClassifier.

SFBasedOptimizableFunction
This abstract class is the basis of all multi-threaded OptimizableFunctions that are based on ScoringFunctions.

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 Parameters for any ScoreClassifier.

SFBasedOptimizableFunction
This abstract class is the basis of all multi-threaded OptimizableFunctions that are based on ScoringFunctions.

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 OptimizableFunctions that are based on ScoringFunctions.

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 OptimizableFunctions that are based on ScoringFunctions.