Uses of Interface
de.fu_berlin.ties.classify.Classifier

Packages that use Classifier
de.fu_berlin.ties.classify This package provides functionality for classification of texts and feature vectors. 
de.fu_berlin.ties.classify.winnow This package contains the Winnow classification algorithm and related algorithms and classes. 
de.fu_berlin.ties.extract This package handles information extraction and entitiy recognition. 
 

Uses of Classifier in de.fu_berlin.ties.classify
 

Classes in de.fu_berlin.ties.classify that implement Classifier
 class ExternalClassifier
          A proxy that provides a trainable classifier by communicating with an external (non-Java) program.
(package private)  class MetaClassifier
          A meta classifier combines several layers of classifiers.
 class MultiBinaryClassifier
          This classifier converts an multi-class classification task into a several binary (two-class) classification task.
 class OneAgainstTheRestClassifier
          This classifier converts an multi-class classification task into a several binary (two-class) classification task.
 class TrainableClassifier
          Classifiers extending this abstract class must provide a training mechanism by implementing the TrainableClassifier.doTrain(FeatureVector, String, ContextMap) method.
 

Uses of Classifier in de.fu_berlin.ties.classify.winnow
 

Classes in de.fu_berlin.ties.classify.winnow that implement Classifier
 class UltraconservativeWinnow
          A combination of Winnow with the "ultraconservative" approach proposed by Koby Crammer and Yoram Singer.
 class Winnow
          Classifier implementing the Winnow algorithm (Nick Littlestone).
 

Uses of Classifier in de.fu_berlin.ties.extract
 

Methods in de.fu_berlin.ties.extract that return Classifier
 Classifier[] ExtractorBase.getClassifiers()
          Returns the array of classifiers used for the local classification decisions.
 

Constructors in de.fu_berlin.ties.extract with parameters of type Classifier
Extractor(String outExt, TargetStructure targetStruct, Classifier[] theClassifiers, Representation theRepresentation, CombinationStrategy combiStrat, TokenizerFactory tFactory, TrainableFilter sentFilter, Reranker rerank, Set<String> relevantPunct, TiesConfiguration config)
          Creates a new instance.
ExtractorBase(String outExt, TargetStructure targetStruct, Classifier[] theClassifiers, Representation theRepresentation, CombinationStrategy combiStrat, TokenizerFactory tFactory, TrainableFilter sentFilter, Set<String> relevantPunct, TiesConfiguration config)
          Creates a new instance.
 



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