Package de.jstacs.classifier.scoringFunctionBased

Provides the classes for Classifiers that are based on ScoringFunctions.

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

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 Classifiers that are based on ScoringFunctions.
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.