Uses of Interface
cc.mallet.types.ConstantMatrix

Packages that use ConstantMatrix

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

Uses of ConstantMatrix in cc.mallet.types

Subinterfaces of ConstantMatrix in cc.mallet.types

Modifier and Type	Interface	Description
interface	Matrix
interface	Vector	Deprecated.

Classes in cc.mallet.types that implement ConstantMatrix

Modifier and Type	Class	Description
class	AugmentableFeatureVector
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	DenseMatrix
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	Matrixn	Implementation of Matrix that allows arbitrary number of dimensions.
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	SparseMatrixn	Implementation of Matrix that allows arbitrary number of dimensions.
class	SparseVector	A vector that allocates memory only for non-zero values.

Methods in cc.mallet.types that return ConstantMatrix

Modifier and Type	Method	Description
ConstantMatrix	AugmentableFeatureVector.cloneMatrix()
ConstantMatrix	ConstantMatrix.cloneMatrix()
abstract ConstantMatrix	DenseMatrix.cloneMatrix()
ConstantMatrix	DenseVector.cloneMatrix()
ConstantMatrix	FeatureVector.cloneMatrix()
ConstantMatrix	HashedSparseVector.cloneMatrix()
ConstantMatrix	IndexedSparseVector.cloneMatrix()
ConstantMatrix	Matrixn.cloneMatrix()
ConstantMatrix	SparseMatrixn.cloneMatrix()
ConstantMatrix	SparseVector.cloneMatrix()	CLONING
ConstantMatrix	AugmentableFeatureVector.cloneMatrixZeroed()
ConstantMatrix	FeatureVector.cloneMatrixZeroed()
ConstantMatrix	HashedSparseVector.cloneMatrixZeroed()
ConstantMatrix	IndexedSparseVector.cloneMatrixZeroed()
ConstantMatrix	SparseVector.cloneMatrixZeroed()

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

Modifier and Type	Method	Description
boolean	DenseMatrix.almostEquals(ConstantMatrix m2)
double	ConstantMatrix.dotProduct(ConstantMatrix m)
double	DenseMatrix.dotProduct(ConstantMatrix m)
double	SparseMatrixn.dotProduct(ConstantMatrix m)
double	SparseVector.dotProduct(ConstantMatrix m)
void	DenseMatrix.elementwiseDivideEquals(ConstantMatrix m)
void	DenseMatrix.elementwiseDivideEquals(ConstantMatrix m, double factor)
void	Matrix.elementwiseDivideEquals(ConstantMatrix m)
void	Matrix.elementwiseDivideEquals(ConstantMatrix m, double factor)
void	SparseMatrixn.elementwiseDivideEquals(ConstantMatrix m)
void	SparseMatrixn.elementwiseDivideEquals(ConstantMatrix m, double factor)
void	DenseMatrix.elementwiseTimesEquals(ConstantMatrix m)
void	DenseMatrix.elementwiseTimesEquals(ConstantMatrix m, double factor)
void	Matrix.elementwiseTimesEquals(ConstantMatrix m)
void	Matrix.elementwiseTimesEquals(ConstantMatrix m, double factor)
void	SparseMatrixn.elementwiseTimesEquals(ConstantMatrix m)
void	SparseMatrixn.elementwiseTimesEquals(ConstantMatrix m, double factor)
void	DenseMatrix.equalsPlus(double factor, ConstantMatrix m)
void	Matrix.equalsPlus(double factor, ConstantMatrix m)
void	SparseMatrixn.equalsPlus(double factor, ConstantMatrix m)
void	DenseMatrix.plusEquals(ConstantMatrix m)
void	DenseMatrix.plusEquals(ConstantMatrix m, double factor)
void	Matrix.plusEquals(ConstantMatrix m)
void	Matrix.plusEquals(ConstantMatrix m, double factor)
void	SparseMatrixn.plusEquals(ConstantMatrix m)
void	SparseMatrixn.plusEquals(ConstantMatrix m, double factor)
void	DenseMatrix.set(ConstantMatrix m)
void	Matrix.set(ConstantMatrix m)
void	SparseMatrixn.set(ConstantMatrix m)
void	DenseMatrix.setWithAddend(ConstantMatrix m, double addend)
void	Matrix.setWithAddend(ConstantMatrix m, double addend)
void	SparseMatrixn.setWithAddend(ConstantMatrix m, double addend)
void	DenseMatrix.setWithFactor(ConstantMatrix m, double factor)
void	Matrix.setWithFactor(ConstantMatrix m, double factor)
void	SparseMatrixn.setWithFactor(ConstantMatrix m, double factor)