Uses of Class org.maltparser.core.feature.FeatureVector (MaltParser 1.4.1)
Date: 2010-07-15

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## 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.

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