MaltParser 1.4.1

Uses of Class
org.maltparser.core.feature.FeatureVector

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
 

Fields in org.maltparser.core.feature declared as FeatureVector
protected  FeatureVector FeatureModel.mainFeatureVector
           
 

Methods in org.maltparser.core.feature that return FeatureVector
 FeatureVector FeatureModel.getFeatureVector(String subModelName)
           
 FeatureVector FeatureModel.getMainFeatureVector()
           
 

Uses of FeatureVector in org.maltparser.ml
 

Methods in org.maltparser.ml with parameters of type FeatureVector
 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
 

Methods in org.maltparser.ml.liblinear with parameters of type FeatureVector
 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
 

Methods in org.maltparser.ml.libsvm with parameters of type FeatureVector
 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
 

Methods in org.maltparser.parser.guide that return FeatureVector
 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
 

Methods in org.maltparser.parser.guide.decision that return FeatureVector
 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
 

Methods in org.maltparser.parser.guide.instance that return FeatureVector
 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
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
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

Copyright 2007-2010 Johan Hall, Jens Nilsson and Joakim Nivre.