Package de.jstacs.classifier.scoringFunctionBased

Provides the classes for Classifiers that are based on ScoringFunctions.

See:
Description

Class Summary

AbstractOptimizableFunction	This class extends OptimizableFunction and implements some common methods.
OptimizableFunction	This is the main function for the ScoreClassifier.
ScoreClassifier
ScoreClassifierParameterSet	A set of Parameters for any ScoreClassifier.

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.