Uses of Class
edu.umass.cs.mallet.base.types.LabelVector

Packages that use LabelVector

Package	Description
edu.umass.cs.mallet.base.classify
edu.umass.cs.mallet.base.fst
edu.umass.cs.mallet.base.types

Uses of LabelVector in edu.umass.cs.mallet.base.classify

Methods in edu.umass.cs.mallet.base.classify that return LabelVector

Modifier and Type	Method and Description
LabelVector	Classification.getLabelVector()

Uses of LabelVector in edu.umass.cs.mallet.base.fst

Methods in edu.umass.cs.mallet.base.fst that return LabelVector

Modifier and Type	Method and Description
LabelVector	Transducer.Lattice.getLabelingAtPosition(int outputPosition)
LabelVector	Transducer.BeamLattice.getLabelingAtPosition(int outputPosition)

Uses of LabelVector in edu.umass.cs.mallet.base.types

Methods in edu.umass.cs.mallet.base.types that return LabelVector

Modifier and Type	Method and Description
LabelVector	InfoGain.getBaseLabelDistribution()
LabelVector	GainRatio.getBaseLabelDistribution()
LabelVector	InstanceList.targetLabelDistribution()
LabelVector	Labeling.toLabelVector()
LabelVector	LabelVector.toLabelVector()
LabelVector	Label.toLabelVector()

Methods in edu.umass.cs.mallet.base.types with parameters of type LabelVector

Modifier and Type	Method and Description
PartiallyRankedFeatureVector	PartiallyRankedFeatureVector.Factory.newPartiallyRankedFeatureVector(InstanceList ilist, LabelVector[] posteriors)
PartiallyRankedFeatureVector[]	PartiallyRankedFeatureVector.PerLabelFactory.newPartiallyRankedFeatureVectors(InstanceList ilist, LabelVector[] posteriors)

Constructors in edu.umass.cs.mallet.base.types with parameters of type LabelVector

Constructor and Description
ExpGain(InstanceList ilist, LabelVector[] classifications, double gaussianPriorVariance)
Factory(LabelVector[] classifications)
Factory(LabelVector[] classifications)
Factory(LabelVector[] classifications, double gaussianPriorVariance)
GainRatio(Alphabet dataAlphabet, double[] gainRatios, double[] splitPoints, double baseEntropy, LabelVector baseLabelDistribution, int numSplitPointsForBestFeature, int minNumInsts)
GradientGain(InstanceList ilist, LabelVector[] classifications)
KLGain(InstanceList ilist, LabelVector[] classifications)