Uses of Interface
cc.mallet.types.Vector

Packages that use Vector

cc.mallet.types

Fundamental MALLET types, including FeatureVector, Instance, Label etc.

Uses of Vector in cc.mallet.types

Classes in cc.mallet.types that implement Vector

class	AugmentableFeatureVector
class	DenseVector
class	ExpGain
class	FeatureCounts
class	FeatureVector A subset of an Alphabet in which each element of the subset has an associated value.
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	HashedSparseVector
class	IndexedSparseVector
class	InfoGain
class	KLGain
class	LabelVector
class	Multinomial A probability distribution over a set of features represented as a FeatureVector.
static class	Multinomial.Logged A Multinomial in which the values associated with each feature index fi is Math.log(probability[fi]) instead of probability[fi].
class	PartiallyRankedFeatureVector
class	RankedFeatureVector
class	SparseVector A vector that allocates memory only for non-zero values.

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

void	Matrix2.columnPlusEquals(int ci, Vector v, double factor) Deprecated.
double	FeatureVectorSequence.dotProduct(int sequencePosition, Vector weights)
static double	MatrixOps.rowDotProduct(double[] m, int nc, int ri, Vector v, double factor, int maxCi, FeatureSelection selection)
static double	MatrixOps.rowDotProduct(double[] m, int nc, int ri, Vector v, int maxCi, FeatureSelection selection)
double	Matrix2.rowDotProduct(int ri, Vector v) Deprecated.
double	Matrix2.rowDotProduct(int ri, Vector v, int maxCi, FeatureSelection selection) Deprecated. Skip all column indices higher than "maxCi".
static void	MatrixOps.rowPlusEquals(double[] m, int nc, int ri, Vector v, double factor)
void	Matrix2.rowPlusEquals(int ri, Vector v, double factor) Deprecated.
static double	MatrixOps.sum(Vector v)