Uses of Class
types.SparseVector

Packages that use SparseVector

classification
sequence
types

Uses of SparseVector in classification

Methods in classification that return SparseVector

SparseVector

CompleteFeatureFunction.apply(SparseVector x, int y)

Methods in classification with parameters of type SparseVector

SparseVector

CompleteFeatureFunction.apply(SparseVector x, int y)

Uses of SparseVector in sequence

Fields in sequence declared as SparseVector

SparseVector[]

SequenceInstance.x

Methods in sequence that return SparseVector

SparseVector	SequenceFeatureFunction.apply(SparseVector[] x, int[] y) apply the feature function to an entire sequence of y's
SparseVector	OneYwithXFeatureFunction.apply(SparseVector[] x, int[] y)
SparseVector	TwoYwithXFeatureFunction.apply(SparseVector[] x, int[] y)
SparseVector	SequenceFeatureFunction.apply(SparseVector[] x, int ymt1, int yt, int t) apply the feature function to a pair of tags (label positions)
SparseVector	OneYwithXFeatureFunction.apply(SparseVector[] x, int ytm1, int yt, int t)
SparseVector	TwoYwithXFeatureFunction.apply(SparseVector[] xseq, int ytm1, int yt, int t)

Methods in sequence with parameters of type SparseVector

SparseVector	SequenceFeatureFunction.apply(SparseVector[] x, int[] y) apply the feature function to an entire sequence of y's
SparseVector	OneYwithXFeatureFunction.apply(SparseVector[] x, int[] y)
SparseVector	TwoYwithXFeatureFunction.apply(SparseVector[] x, int[] y)
SparseVector	SequenceFeatureFunction.apply(SparseVector[] x, int ymt1, int yt, int t) apply the feature function to a pair of tags (label positions)
SparseVector	OneYwithXFeatureFunction.apply(SparseVector[] x, int ytm1, int yt, int t)
SparseVector	TwoYwithXFeatureFunction.apply(SparseVector[] xseq, int ytm1, int yt, int t)
int[]	LinearTagger.label(SparseVector[] x) use the Viterbi algorithm to find arg_max_y f(x,y) .
double[][][]	LinearTagger.scores(SparseVector[] x) at each position 0<=t

Constructors in sequence with parameters of type SparseVector

SequenceInstance(Alphabet xAlphabet, Alphabet yAlphabet, SparseVector[] x, Object[] y)

Uses of SparseVector in types

Fields in types declared as SparseVector

SparseVector

ClassificationInstance.x

Methods in types that return SparseVector

SparseVector	FeatureFunction.apply(SparseVector x, int y)
static SparseVector	StaticUtils.lookupCollection(Collection<String> in, Alphabet a)

Methods in types with parameters of type SparseVector

SparseVector	FeatureFunction.apply(SparseVector x, int y)
static double	StaticUtils.dotProduct(SparseVector v, double[] w) the dot product between a sparse vector v and a dense vector w.
int	LinearClassifier.label(SparseVector x) computes the classification according to this linear classifier.
static void	StaticUtils.plusEquals(double[] w, SparseVector v) update: w = w + v
static void	StaticUtils.plusEquals(double[] w, SparseVector v, double d) w <- w + d*v
static void	StaticUtils.plusEquals(SparseVector w, SparseVector v) w <- w + v
double[]	LinearClassifier.scores(SparseVector x) computes the score of each label 'y' defined as f(x,y) .

Constructors in types with parameters of type SparseVector

ClassificationInstance(Alphabet xAlphabet, Alphabet yAlphabet, SparseVector x, Object y)