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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. |
class |
TrainableClassifier
Classifiers extending this abstract class must provide a training mechanism by implementing the TrainableClassifier.doTrain(FeatureVector, String) 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.getClassifier()
Returns the classifier used for the local classification decisions. |
Constructors in de.fu_berlin.ties.extract with parameters of type Classifier | |
ExtractorBase(String outExt,
TargetStructure targetStruct,
Classifier theClassifier,
Representation theRepresentation,
CombinationStrategy combiStrat,
TokenizerFactory tFactory,
TiesConfiguration config)
Creates a new instance. |
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Extractor(String outExt,
TargetStructure targetStruct,
Classifier theClassifier,
Representation theRepresentation,
CombinationStrategy combiStrat,
TokenizerFactory tFactory,
TiesConfiguration config)
Creates a new instance. |
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