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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.
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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. |
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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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