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MaltParser 1.0.1 | |||||||||
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Packages that use FeatureVector | |
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org.maltparser.ml | Contains an interface and classes for creating an interface to an machine learning method. |
org.maltparser.ml.libsvm | Contains classes that interacts with the LIBSVM learner. |
org.maltparser.ml.libsvm.malt04 | Contains classes that interacts with the LIBSVM learner that tries to emulate the behavior of MaltParser 0.4. |
org.maltparser.parser.guide.instmodel | Provides an interface for implementing different kinds of prediction strategies. |
org.maltparser.parser.guide.predmodel | Contains classes for implementing different kinds of instance models. |
Uses of FeatureVector in org.maltparser.ml |
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Methods in org.maltparser.ml with parameters of type FeatureVector | |
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void |
LearningMethod.addInstance(ClassTable classCodeTable,
FeatureVector features)
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boolean |
LearningMethod.predict(FeatureVector features,
KBestList kBestList)
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void |
LearningMethod.train(FeatureVector features)
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Uses of FeatureVector in org.maltparser.ml.libsvm |
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Methods in org.maltparser.ml.libsvm with parameters of type FeatureVector | |
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void |
Libsvm.addInstance(ClassTable classCodeTable,
FeatureVector features)
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protected void |
Libsvm.addInstanceExcludeNull(ClassTable classCodeTable,
FeatureVector features)
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boolean |
Libsvm.predict(FeatureVector features,
KBestList kBestList)
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void |
Libsvm.train(FeatureVector features)
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Uses of FeatureVector in org.maltparser.ml.libsvm.malt04 |
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Methods in org.maltparser.ml.libsvm.malt04 with parameters of type FeatureVector | |
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void |
LibsvmMalt04.addInstance(ClassTable classCodeTable,
FeatureVector features)
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boolean |
LibsvmMalt04.predict(FeatureVector features,
KBestList kBestList)
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void |
LibsvmMalt04.train(FeatureVector features)
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Uses of FeatureVector in org.maltparser.parser.guide.instmodel |
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Methods in org.maltparser.parser.guide.instmodel that return FeatureVector | |
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FeatureVector |
FeatureDivideModel.getDivideFeatureVector()
Returns the divide feature vector |
FeatureVector |
AtomicModel.getFeatures()
Returns the feature vector used by this atomic model |
FeatureVector |
FeatureDivideModel.getMasterFeatureVector()
Returns the "sum-up" or master feature vector |
Methods in org.maltparser.parser.guide.instmodel with parameters of type FeatureVector | |
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protected void |
FeatureDivideModel.initSplitParam(FeatureVector features)
Initialize the feature split parameters and the split feature vector and master feature vector according to the behavior strategy. |
protected void |
AtomicModel.setFeatures(FeatureVector features)
Sets the feature vector used by the atomic model. |
Constructors in org.maltparser.parser.guide.instmodel with parameters of type FeatureVector | |
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AtomicModel(int index,
FeatureVector features,
ClassTable classCodeTable,
GuideModel parent)
Constructs an atomic model. |
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FeatureDivideModel(FeatureVector features,
ClassTable classCodeTable,
GuideModel parent)
Constructs a feature divide model. |
Uses of FeatureVector in org.maltparser.parser.guide.predmodel |
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Fields in org.maltparser.parser.guide.predmodel declared as FeatureVector | |
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protected FeatureVector |
CombinedPredictionModel.features
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Methods in org.maltparser.parser.guide.predmodel that return FeatureVector | |
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FeatureVector |
CombinedPredictionModel.getFeatures()
Returns the feature vector |
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MaltParser 1.0.1 | |||||||||
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