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MaltParser 1.4.1 | |||||||||
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Packages that use FeatureVector | |
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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
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Methods in org.maltparser.core.feature that return FeatureVector | |
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FeatureVector |
FeatureModel.getFeatureVector(String subModelName)
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FeatureVector |
FeatureModel.getMainFeatureVector()
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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)
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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)
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void |
LearningMethod.train(FeatureVector featureVector)
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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)
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double |
Liblinear.crossValidate(FeatureVector featureVector,
int nrOfSplits)
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boolean |
Liblinear.predict(FeatureVector featureVector,
SingleDecision decision)
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void |
Liblinear.train(FeatureVector featureVector)
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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(SingleDecision decision,
FeatureVector featureVector)
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double |
Libsvm.crossValidate(FeatureVector featureVector,
int nrOfSplits)
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boolean |
Libsvm.predict(FeatureVector featureVector,
SingleDecision decision)
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void |
Libsvm.train(FeatureVector featureVector)
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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()
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FeatureVector |
ClassifierGuide.extract()
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FeatureVector |
SingleGuide.predictExtract(GuideDecision decision)
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FeatureVector |
ClassifierGuide.predictExtract(GuideDecision decision)
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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()
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FeatureVector |
BranchedDecisionModel.extract()
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FeatureVector |
SeqDecisionModel.extract()
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FeatureVector |
DecisionModel.extract()
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FeatureVector |
OneDecisionModel.predictExtract(GuideDecision decision)
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FeatureVector |
BranchedDecisionModel.predictExtract(GuideDecision decision)
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FeatureVector |
SeqDecisionModel.predictExtract(GuideDecision decision)
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FeatureVector |
DecisionModel.predictExtract(GuideDecision decision)
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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()
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FeatureVector |
AtomicModel.extract()
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FeatureVector |
FeatureDivideModel.extract()
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FeatureVector |
InstanceModel.extract()
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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 |
FeatureVector |
DecisionTreeModel.predictExtract(SingleDecision decision)
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FeatureVector |
AtomicModel.predictExtract(SingleDecision decision)
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FeatureVector |
FeatureDivideModel.predictExtract(SingleDecision decision)
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FeatureVector |
InstanceModel.predictExtract(SingleDecision decision)
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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. |
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DecisionTreeModel(FeatureVector featureVector,
Model parent)
Constructs a feature divide model. |
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FeatureDivideModel(FeatureVector features,
Model parent)
Constructs a feature divide model. |
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MaltParser 1.4.1 | |||||||||
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