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 | MaltParser 1.4.1 | |||||||||
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| Packages that use FeatureVector | |
|---|---|
| org.maltparser.core.feature | Provides classes for handling feature models. | 
| org.maltparser.ml | Contains an interface and classes for creating an interface to an machine learning method. | 
| org.maltparser.ml.liblinear | Contains classes that interacts with the Liblinear learner. | 
| org.maltparser.ml.libsvm | Contains classes that interacts with the LIBSVM learner. | 
| org.maltparser.parser.guide | Contains classes that implements the guide, which can be seen as an interface (or glue) between the parsing algorithm and the learner. | 
| org.maltparser.parser.guide.decision | Provides classes for different decision models. | 
| org.maltparser.parser.guide.instance | Provides classes for different instance models. | 
| Uses of FeatureVector in org.maltparser.core.feature | 
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| Fields in org.maltparser.core.feature declared as FeatureVector | |
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| protected  FeatureVector | FeatureModel.mainFeatureVector | 
| Methods in org.maltparser.core.feature that return FeatureVector | |
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|  FeatureVector | FeatureModel.getFeatureVector(String subModelName) | 
|  FeatureVector | FeatureModel.getMainFeatureVector() | 
| 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(SingleDecision decision,
                       FeatureVector featureVector) | 
|  double | LearningMethod.crossValidate(FeatureVector featureVector,
                           int nrOfSplits)This method does a cross validation of the training instances added and return the average score over the nrOfSplit divisions. | 
|  boolean | LearningMethod.predict(FeatureVector features,
               SingleDecision decision) | 
|  void | LearningMethod.train(FeatureVector featureVector) | 
| Uses of FeatureVector in org.maltparser.ml.liblinear | 
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| Methods in org.maltparser.ml.liblinear with parameters of type FeatureVector | |
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|  void | Liblinear.addInstance(SingleDecision decision,
                       FeatureVector featureVector) | 
|  double | Liblinear.crossValidate(FeatureVector featureVector,
                           int nrOfSplits) | 
|  boolean | Liblinear.predict(FeatureVector featureVector,
               SingleDecision decision) | 
|  void | Liblinear.train(FeatureVector featureVector) | 
| 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(SingleDecision decision,
                       FeatureVector featureVector) | 
|  double | Libsvm.crossValidate(FeatureVector featureVector,
                           int nrOfSplits) | 
|  boolean | Libsvm.predict(FeatureVector featureVector,
               SingleDecision decision) | 
|  void | Libsvm.train(FeatureVector featureVector) | 
| Uses of FeatureVector in org.maltparser.parser.guide | 
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| Methods in org.maltparser.parser.guide that return FeatureVector | |
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|  FeatureVector | SingleGuide.extract() | 
|  FeatureVector | ClassifierGuide.extract() | 
|  FeatureVector | SingleGuide.predictExtract(GuideDecision decision) | 
|  FeatureVector | ClassifierGuide.predictExtract(GuideDecision decision) | 
| Uses of FeatureVector in org.maltparser.parser.guide.decision | 
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| Methods in org.maltparser.parser.guide.decision that return FeatureVector | |
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|  FeatureVector | OneDecisionModel.extract() | 
|  FeatureVector | BranchedDecisionModel.extract() | 
|  FeatureVector | SeqDecisionModel.extract() | 
|  FeatureVector | DecisionModel.extract() | 
|  FeatureVector | OneDecisionModel.predictExtract(GuideDecision decision) | 
|  FeatureVector | BranchedDecisionModel.predictExtract(GuideDecision decision) | 
|  FeatureVector | SeqDecisionModel.predictExtract(GuideDecision decision) | 
|  FeatureVector | DecisionModel.predictExtract(GuideDecision decision) | 
| Uses of FeatureVector in org.maltparser.parser.guide.instance | 
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| Methods in org.maltparser.parser.guide.instance that return FeatureVector | |
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|  FeatureVector | DecisionTreeModel.extract() | 
|  FeatureVector | AtomicModel.extract() | 
|  FeatureVector | FeatureDivideModel.extract() | 
|  FeatureVector | InstanceModel.extract() | 
|  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 | 
|  FeatureVector | DecisionTreeModel.predictExtract(SingleDecision decision) | 
|  FeatureVector | AtomicModel.predictExtract(SingleDecision decision) | 
|  FeatureVector | FeatureDivideModel.predictExtract(SingleDecision decision) | 
|  FeatureVector | InstanceModel.predictExtract(SingleDecision decision) | 
| Methods in org.maltparser.parser.guide.instance with parameters of type FeatureVector | |
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| protected  void | FeatureDivideModel.initSplitParam(FeatureVector featureVector)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.instance with parameters of type FeatureVector | |
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| AtomicModel(int index,
                       FeatureVector features,
                       Model parent)Constructs an atomic model. | |
| DecisionTreeModel(FeatureVector featureVector,
                                   Model parent)Constructs a feature divide model. | |
| FeatureDivideModel(FeatureVector features,
                                     Model parent)Constructs a feature divide model. | |
| 
 | MaltParser 1.4.1 | |||||||||
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