Uses of Class
cc.mallet.types.RankedFeatureVector

Packages that use RankedFeatureVector

Package	Description
cc.mallet.types	Fundamental MALLET types, including FeatureVector, Instance, Label etc.

Uses of RankedFeatureVector in cc.mallet.types

Subclasses of RankedFeatureVector in cc.mallet.types

Modifier and Type	Class	Description
class	BiNormalSeparation	Bi-Normal Separation is a feature weighting algorithm introduced in: An Extensive Empirical Study of Feature Selection Metrics for Text Classification, George Forman, Journal of Machine Learning Research, 3:1289--1305, 2003.
class	ExpGain
class	FeatureCounts
class	GainRatio	List of features along with their thresholds sorted in descending order of the ratio of (1) information gained by splitting instances on the feature at its associated threshold value, to (2) the split information.
class	GradientGain
class	InfoGain
class	KLGain
class	LabelVector
class	PartiallyRankedFeatureVector

Methods in cc.mallet.types that return RankedFeatureVector

Modifier and Type	Method	Description
RankedFeatureVector	BiNormalSeparation.Factory.newRankedFeatureVector(InstanceList instanceList)	Create a new feature ranking for the given instance list.
RankedFeatureVector	ExpGain.Factory.newRankedFeatureVector(InstanceList ilist)
RankedFeatureVector	FeatureCounts.Factory.newRankedFeatureVector(InstanceList instances)
RankedFeatureVector	GradientGain.Factory.newRankedFeatureVector(InstanceList ilist)
RankedFeatureVector	InfoGain.Factory.newRankedFeatureVector(InstanceList ilist)
RankedFeatureVector	RankedFeatureVector.Factory.newRankedFeatureVector(InstanceList ilist)
RankedFeatureVector[]	PerLabelFeatureCounts.Factory.newRankedFeatureVectors(InstanceList ilist)
RankedFeatureVector[]	PerLabelInfoGain.Factory.newRankedFeatureVectors(InstanceList ilist)
RankedFeatureVector[]	RankedFeatureVector.PerLabelFactory.newRankedFeatureVectors(InstanceList ilist)
RankedFeatureVector	FeatureCounter.toRankedFeatureVector()

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

Constructor	Description
FeatureSelection(RankedFeatureVector rsv, int numFeatures)