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Packages that use TrainableClassifier | |
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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 entity recognition. |
Uses of TrainableClassifier in de.fu_berlin.ties.classify |
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Subclasses of TrainableClassifier in de.fu_berlin.ties.classify | |
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class |
ExternalClassifier
A proxy that provides a trainable classifier by communicating with an external (non-Java) program. |
class |
MetaClassifier
A meta classifier combines several layers of classifiers. |
class |
MoonClassifier
A proxy to the MoonFilter classifier written by Christian Siefkes. |
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 |
TieClassifier
A tie classifier combines several layers of classifiers. |
Methods in de.fu_berlin.ties.classify that return TrainableClassifier | |
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static TrainableClassifier |
TrainableClassifier.createClassifier(Set<String> allValidClasses)
Factory method that delegates to createClassifier(Set, TiesConfiguration) using the
standard configuration. |
static TrainableClassifier |
TrainableClassifier.createClassifier(Set<String> allValidClasses,
File runDirectory,
FeatureTransformer trans,
String[] spec,
TiesConfiguration conf)
Factory method that creates a trainable classifier based on the provided specification. |
static TrainableClassifier |
TrainableClassifier.createClassifier(Set<String> allValidClasses,
File runDirectory,
TiesConfiguration conf,
String suffix)
Factory method that delegates to createClassifier(Set, File, FeatureTransformer, String[],
TiesConfiguration) . |
static TrainableClassifier |
TrainableClassifier.createClassifier(Set<String> allValidClasses,
TiesConfiguration conf)
Factory method that delegates to createClassifier(Set, TiesConfiguration, String)
without specifying a suffix. |
static TrainableClassifier |
TrainableClassifier.createClassifier(Set<String> allValidClasses,
TiesConfiguration conf,
String suffix)
Factory method that delegates to createClassifier(Set, File, TiesConfiguration, String)
without specifying an run directory. |
Uses of TrainableClassifier in de.fu_berlin.ties.classify.winnow |
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Subclasses of TrainableClassifier in de.fu_berlin.ties.classify.winnow | |
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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 |
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Constructors in de.fu_berlin.ties.extract with parameters of type TrainableClassifier | |
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Trainer(String outExt,
TargetStructure targetStruct,
TrainableClassifier[] theClassifiers,
Representation theRepresentation,
CombinationStrategy combiStrat,
FinalReextractor reextract,
TokenizerFactory tFactory,
Reestimator estimator,
DocumentRewriter[] docFilters,
TrainableFilter sentFilter,
Set<String> relevantPunct,
boolean trainOnlyErrors,
boolean testOnly,
TiesConfiguration config)
Creates a new instance. |
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Trainer(String outExt,
TargetStructure targetStruct,
TrainableClassifier[] theClassifiers,
Representation theRepresentation,
CombinationStrategy combiStrat,
FinalReextractor reextract,
TokenizerFactory tFactory,
Reestimator estimator,
TrainableFilter sentFilter)
Creates a new instance, using the standard configuration to configure the
remaining fields. |
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