Uses of Class
cc.mallet.types.LabelVector

Packages that use LabelVector

cc.mallet.classify	Classes for training and classifying instances.
cc.mallet.fst	Transducers, including Conditional Random Fields (CRFs).
cc.mallet.fst.semi_supervised.pr
cc.mallet.types	Fundamental MALLET types, including FeatureVector, Instance, Label etc.

Uses of LabelVector in cc.mallet.classify

Methods in cc.mallet.classify that return LabelVector

LabelVector

Classification.getLabelVector()

Uses of LabelVector in cc.mallet.fst

Methods in cc.mallet.fst that return LabelVector

LabelVector	SumLatticeScaling.getLabelingAtPosition(int outputPosition)
LabelVector	SumLatticeDefault.getLabelingAtPosition(int outputPosition)
LabelVector	SumLatticeBeam.getLabelingAtPosition(int outputPosition)
LabelVector	SumLattice.getLabelingAtPosition(int outputPosition)

Uses of LabelVector in cc.mallet.fst.semi_supervised.pr

Fields in cc.mallet.fst.semi_supervised.pr declared as LabelVector

protected LabelVector[]

SumLatticePR.labelings

Methods in cc.mallet.fst.semi_supervised.pr that return LabelVector

LabelVector	SumLatticePR.getLabelingAtPosition(int outputPosition)
LabelVector	SumLatticeKL.getLabelingAtPosition(int outputPosition)
LabelVector	SumLatticeDefaultCachedDot.getLabelingAtPosition(int outputPosition)

Uses of LabelVector in cc.mallet.types

Methods in cc.mallet.types that return LabelVector

LabelVector	InfoGain.getBaseLabelDistribution()
LabelVector	GainRatio.getBaseLabelDistribution()
LabelVector	InstanceList.targetLabelDistribution()
LabelVector	LabelVector.toLabelVector()
LabelVector	Labeling.toLabelVector()
LabelVector	Label.toLabelVector()

Methods in cc.mallet.types with parameters of type LabelVector

PartiallyRankedFeatureVector	PartiallyRankedFeatureVector.Factory.newPartiallyRankedFeatureVector(InstanceList ilist, LabelVector[] posteriors)
PartiallyRankedFeatureVector[]	PartiallyRankedFeatureVector.PerLabelFactory.newPartiallyRankedFeatureVectors(InstanceList ilist, LabelVector[] posteriors)

Constructors in cc.mallet.types with parameters of type LabelVector

ExpGain.Factory(LabelVector[] classifications)

ExpGain.Factory(LabelVector[] classifications, double gaussianPriorVariance)

ExpGain(InstanceList ilist, LabelVector[] classifications, double gaussianPriorVariance)

GainRatio(Alphabet dataAlphabet, double[] gainRatios, double[] splitPoints, double baseEntropy, LabelVector baseLabelDistribution, int numSplitPointsForBestFeature, int minNumInsts)

GradientGain.Factory(LabelVector[] classifications)

GradientGain(InstanceList ilist, LabelVector[] classifications)

KLGain(InstanceList ilist, LabelVector[] classifications)