Uses of Class
de.fu_berlin.ties.classify.TrainableClassifier

Packages that use TrainableClassifier
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 TrainableClassifier in de.fu_berlin.ties.classify
 

Subclasses of TrainableClassifier in de.fu_berlin.ties.classify
 class ExternalClassifier
          A proxy that provides a trainable classifier by communicating with an external (non-Java) program.
 

Methods in de.fu_berlin.ties.classify that return TrainableClassifier
static TrainableClassifier TrainableClassifier.createClassifier(Set allValidClasses)
          Factory method that delegates to createClassifier(Set, TiesConfiguration) using the standard configuration.
static TrainableClassifier TrainableClassifier.createClassifier(Set allValidClasses, TiesConfiguration config)
          Factory method that delegates to createClassifier(Set, File, TiesConfiguration) without specifying an run directory.
static TrainableClassifier TrainableClassifier.createClassifier(Set allValidClasses, File runDirectory, TiesConfiguration config)
          Factory method that creates a trainable classifier based on the Classifier.CONFIG_CLASSIFIER key in the provided configuration.
 

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

Subclasses of TrainableClassifier in de.fu_berlin.ties.classify.winnow
 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 TrainableClassifier in de.fu_berlin.ties.extract
 

Constructors in de.fu_berlin.ties.extract with parameters of type TrainableClassifier
Trainer(String outExt, TargetStructure targetStruct, TrainableClassifier theClassifier, Representation theRepresentation, CombinationStrategy combiStrat, TokenizerFactory tFactory)
          Creates a new instance, using the standard configuration to configure the training mode and the superclasses.
Trainer(String outExt, TargetStructure targetStruct, TrainableClassifier theClassifier, Representation theRepresentation, CombinationStrategy combiStrat, TokenizerFactory tFactory, boolean trainOnlyErrors, boolean testOnly, TiesConfiguration config)
          Creates a new instance.
 



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