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 This abstract class implements the main functionality of a ScoringFunction based classifier.
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.