Uses of Interface
edu.ucla.sspace.vector.Vector

Packages that use Vector

Package	Description
edu.ucla.sspace.coals
edu.ucla.sspace.common
edu.ucla.sspace.dependency
edu.ucla.sspace.dri
edu.ucla.sspace.dv
edu.ucla.sspace.esa
edu.ucla.sspace.grefenstette
edu.ucla.sspace.hal
edu.ucla.sspace.index
edu.ucla.sspace.isa
edu.ucla.sspace.matrix
edu.ucla.sspace.nonlinear
edu.ucla.sspace.ri
edu.ucla.sspace.similarity
edu.ucla.sspace.svs
edu.ucla.sspace.temporal
edu.ucla.sspace.tri
edu.ucla.sspace.util
edu.ucla.sspace.vector
edu.ucla.sspace.wordsi

Uses of Vector in edu.ucla.sspace.coals

Methods in edu.ucla.sspace.coals that return Vector

Modifier and Type	Method and Description
Vector	Coals.getVector(String term) Returns the semantic vector for the provided word.

Uses of Vector in edu.ucla.sspace.common

Classes in edu.ucla.sspace.common with type parameters of type Vector

Modifier and Type	Class and Description
class	VectorMapSemanticSpace<T extends Vector> This SemanticSpace wraps a Map from strings to Vectors.

Methods in edu.ucla.sspace.common with type parameters of type Vector

Modifier and Type	Method and Description
static <T extends Vector> double	Similarity.getSimilarity(Similarity.SimType similarityType, T a, T b) Calculates the similarity of the two vectors using the provided similarity measure.

Methods in edu.ucla.sspace.common that return Vector

Modifier and Type	Method and Description
Vector	GenericTermDocumentVectorSpace.getVector(String word) Returns the semantic vector for the provided word.
Vector	CachingOnDiskSemanticSpace.getVector(String word) Returns the semantic vector for the provided word.
Vector	OnDiskSemanticSpace.getVector(String word) Returns the semantic vector for the provided word.
Vector	SemanticSpace.getVector(String word) Returns the semantic vector for the provided word.
Vector	StaticSemanticSpace.getVector(String term) Returns the semantic vector for the provided word.

Methods in edu.ucla.sspace.common with parameters of type Vector

Modifier and Type	Method and Description
void	DocumentVectorBuilder.add(DoubleVector dest, Vector src, int factor)
static double	Similarity.averageCommonFeatureRank(Vector a, Vector b) Computes the Average Common Feature Rank between the two feature arrays.
static double	Similarity.averageCommonFeatureRank(Vector a, Vector b) Computes the Average Common Feature Rank between the two feature arrays.
static double	Similarity.correlation(Vector a, Vector b) Returns the Pearson product-moment correlation coefficient of the two Vectors.
static double	Similarity.correlation(Vector a, Vector b) Returns the Pearson product-moment correlation coefficient of the two Vectors.
static double	Similarity.cosineSimilarity(Vector a, Vector b) Returns the cosine similarity of the two DoubleVector.
static double	Similarity.cosineSimilarity(Vector a, Vector b) Returns the cosine similarity of the two DoubleVector.
static double	Similarity.euclideanDistance(Vector a, Vector b) Returns the euclidian distance between two Vectors.
static double	Similarity.euclideanDistance(Vector a, Vector b) Returns the euclidian distance between two Vectors.
static double	Similarity.euclideanSimilarity(Vector a, Vector b) Returns the euclidian similiarty between two arrays of values.
static double	Similarity.euclideanSimilarity(Vector a, Vector b) Returns the euclidian similiarty between two arrays of values.
static double	Similarity.jaccardIndex(Vector a, Vector b) Computes the Jaccard index comparing the similarity both Vectors when viewed as sets of samples.
static double	Similarity.jaccardIndex(Vector a, Vector b) Computes the Jaccard index comparing the similarity both Vectors when viewed as sets of samples.
static double	Similarity.kendallsTau(Vector a, Vector b) Computes Kendall's tau of the values in the two vectors.
static double	Similarity.kendallsTau(Vector a, Vector b) Computes Kendall's tau of the values in the two vectors.
static double	Similarity.klDivergence(Vector a, Vector b) Computes the K-L Divergence of two probability distributions A and B where the vectors a and b correspond to n samples from each respective distribution.
static double	Similarity.klDivergence(Vector a, Vector b) Computes the K-L Divergence of two probability distributions A and B where the vectors a and b correspond to n samples from each respective distribution.
static double	Similarity.linSimilarity(Vector a, Vector b) Computes the lin similarity measure, which is motivated by information theory priniciples.
static double	Similarity.linSimilarity(Vector a, Vector b) Computes the lin similarity measure, which is motivated by information theory priniciples.
static double	Similarity.spearmanRankCorrelationCoefficient(Vector a, Vector b) Computes the Spearman rank correlation coefficient for the two Vectors.
static double	Similarity.spearmanRankCorrelationCoefficient(Vector a, Vector b) Computes the Spearman rank correlation coefficient for the two Vectors.
static double	Similarity.tanimotoCoefficient(Vector a, Vector b) Returns the Tanimoto coefficient of the two Vector instances.
static double	Similarity.tanimotoCoefficient(Vector a, Vector b) Returns the Tanimoto coefficient of the two Vector instances.
void	SemanticSpaceWriter.write(String word, Vector vector) Writes the provided word and vector to the SemanticSpace on disk.

Uses of Vector in edu.ucla.sspace.dependency

Classes in edu.ucla.sspace.dependency with type parameters of type Vector

Modifier and Type	Class and Description
class	DefaultDependencyPermutationFunction<T extends Vector> An default DependencyPermutationFunction for permuting a Vector based on a dependecny path, represented as a list of DependencyRelationss.
interface	DependencyPermutationFunction<T extends Vector> An interface for permuting a Vector based on a dependecny path, represented as a list of DependencyRelations.
class	RelationPermutationFunction<T extends Vector> An default DependencyPermutationFunction for permuting a Vector based on a dependecny path, represented as a list of DependencyRelations.
class	RelationSumPermutationFunction<T extends Vector> An default DependencyPermutationFunction for permuting a Vector based on a dependecny path, represented as a list of DependencyRelations.

Uses of Vector in edu.ucla.sspace.dri

Methods in edu.ucla.sspace.dri that return Vector

Modifier and Type	Method and Description
Vector	DependencyRandomIndexing.getVector(String term) Returns the semantic vector for the provided word.

Uses of Vector in edu.ucla.sspace.dv

Methods in edu.ucla.sspace.dv that return Vector

Modifier and Type	Method and Description
Vector	DependencyVectorSpace.getVector(String term) Returns the semantic vector for the provided word.

Uses of Vector in edu.ucla.sspace.esa

Methods in edu.ucla.sspace.esa with parameters of type Vector

Modifier and Type	Method and Description
SparseArray<String>	ExplicitSemanticAnalysis.getDocumentDescriptors(Vector documentVector) Returns a SparseArray containing document labels for any non zero value in the given Vector.

Uses of Vector in edu.ucla.sspace.grefenstette

Methods in edu.ucla.sspace.grefenstette that return Vector

Modifier and Type	Method and Description
Vector	Grefenstette.getVector(String word) Returns the semantic vector for the provided word.

Uses of Vector in edu.ucla.sspace.hal

Methods in edu.ucla.sspace.hal that return Vector

Modifier and Type	Method and Description
Vector	HyperspaceAnalogueToLanguage.getVector(String word) Returns the semantic vector for the provided word.

Uses of Vector in edu.ucla.sspace.index

Classes in edu.ucla.sspace.index with type parameters of type Vector

Modifier and Type	Interface and Description
interface	PermutationFunction<T extends Vector> An interface for functions that permute the ordering of TernaryVectors.

Methods in edu.ucla.sspace.index that return Vector

Modifier and Type	Method and Description
Vector	WindowedPermutationFunction.permute(Vector v, int numPermutations) Permutes the provided TernaryVector the specified number of times.
Vector	DefaultPermutationFunction.permute(Vector v, int numPermutations) Permutes the provided TernaryVector the specified number of times.

Methods in edu.ucla.sspace.index with parameters of type Vector

Modifier and Type	Method and Description
Vector	WindowedPermutationFunction.permute(Vector v, int numPermutations) Permutes the provided TernaryVector the specified number of times.
Vector	DefaultPermutationFunction.permute(Vector v, int numPermutations) Permutes the provided TernaryVector the specified number of times.

Uses of Vector in edu.ucla.sspace.isa

Methods in edu.ucla.sspace.isa that return Vector

Modifier and Type	Method and Description
Vector	IncrementalSemanticAnalysis.getVector(String word) Returns the semantic vector for the provided word.

Uses of Vector in edu.ucla.sspace.matrix

Methods in edu.ucla.sspace.matrix with parameters of type Vector

Modifier and Type	Method and Description
int	ClutoSparseMatrixBuilder.addColumn(Vector row) Adds the vector values to the underlying matrix, updating the dimensions as necessary and returning the index at which the column was added.
int	SvdlibcSparseBinaryMatrixBuilder.addColumn(Vector col) Adds the vector values to the underlying matrix, updating the dimensions as necessary and returning the index at which the column was added.
int	MatrixBuilder.addColumn(Vector column) Adds the vector values to the underlying matrix, updating the dimensions as necessary and returning the index at which the column was added.
int	MatlabSparseMatrixBuilder.addColumn(Vector col) Adds the vector values to the underlying matrix, updating the dimensions as necessary and returning the index at which the column was added.
int	ClutoDenseMatrixBuilder.addColumn(Vector row) Adds the vector values to the underlying matrix, updating the dimensions as necessary and returning the index at which the column was added.

Uses of Vector in edu.ucla.sspace.nonlinear

Methods in edu.ucla.sspace.nonlinear that return Vector

Modifier and Type	Method and Description
Vector	LocalityPreservingCooccurrenceSpace.getVector(String word) Returns the semantic vector for the provided word.

Uses of Vector in edu.ucla.sspace.ri

Methods in edu.ucla.sspace.ri that return Vector

Modifier and Type	Method and Description
Vector	RandomIndexing.getVector(String word) Returns the semantic vector for the provided word.

Uses of Vector in edu.ucla.sspace.similarity

Methods in edu.ucla.sspace.similarity with parameters of type Vector

Modifier and Type	Method and Description
double	CosineSimilarity.sim(Vector v1, Vector v2) Returns the similarity between v1 and v2.
double	CosineSimilarity.sim(Vector v1, Vector v2) Returns the similarity between v1 and v2.
double	EuclideanSimilarity.sim(Vector v1, Vector v2) Returns the similarity between v1 and v2.
double	EuclideanSimilarity.sim(Vector v1, Vector v2) Returns the similarity between v1 and v2.
double	JaccardIndex.sim(Vector v1, Vector v2) Returns the similarity between v1 and v2.
double	JaccardIndex.sim(Vector v1, Vector v2) Returns the similarity between v1 and v2.
double	TanimotoCoefficient.sim(Vector v1, Vector v2) Returns the similarity between v1 and v2.
double	TanimotoCoefficient.sim(Vector v1, Vector v2) Returns the similarity between v1 and v2.
double	DotProduct.sim(Vector v1, Vector v2) Returns the similarity between v1 and v2.
double	DotProduct.sim(Vector v1, Vector v2) Returns the similarity between v1 and v2.
double	KLDivergence.sim(Vector v1, Vector v2) Returns the similarity between v1 and v2.
double	KLDivergence.sim(Vector v1, Vector v2) Returns the similarity between v1 and v2.
double	GaussianKernel.sim(Vector v1, Vector v2) Returns the similarity between v1 and v2.
double	GaussianKernel.sim(Vector v1, Vector v2) Returns the similarity between v1 and v2.
double	LinSimilarity.sim(Vector v1, Vector v2) Returns the similarity between v1 and v2.
double	LinSimilarity.sim(Vector v1, Vector v2) Returns the similarity between v1 and v2.
double	OneSimilarity.sim(Vector v1, Vector v2) Returns the similarity between v1 and v2.
double	OneSimilarity.sim(Vector v1, Vector v2) Returns the similarity between v1 and v2.
double	SimilarityFunction.sim(Vector v1, Vector v2) Returns the similarity between v1 and v2.
double	SimilarityFunction.sim(Vector v1, Vector v2) Returns the similarity between v1 and v2.
double	KendallsTau.sim(Vector v1, Vector v2) Returns the similarity between v1 and v2.
double	KendallsTau.sim(Vector v1, Vector v2) Returns the similarity between v1 and v2.
double	AverageCommonFeatureRank.sim(Vector v1, Vector v2) Returns the similarity between v1 and v2.
double	AverageCommonFeatureRank.sim(Vector v1, Vector v2) Returns the similarity between v1 and v2.
double	PearsonCorrelation.sim(Vector v1, Vector v2) Returns the similarity between v1 and v2.
double	PearsonCorrelation.sim(Vector v1, Vector v2) Returns the similarity between v1 and v2.
double	SpearmanRankCorrelation.sim(Vector v1, Vector v2) Returns the similarity between v1 and v2.
double	SpearmanRankCorrelation.sim(Vector v1, Vector v2) Returns the similarity between v1 and v2.
double	PolynomialKernel.sim(Vector v1, Vector v2) Returns the similarity between v1 and v2.
double	PolynomialKernel.sim(Vector v1, Vector v2) Returns the similarity between v1 and v2.

Uses of Vector in edu.ucla.sspace.svs

Methods in edu.ucla.sspace.svs that return Vector

Modifier and Type	Method and Description
Vector	StructuredVectorSpace.getVector(String term) Returns the semantic vector for the provided word.

Uses of Vector in edu.ucla.sspace.temporal

Methods in edu.ucla.sspace.temporal that return Vector

Modifier and Type	Method and Description
Vector	TemporalSemanticSpace.getVector(String word) Returns the provided word's semantic vector based on all temporal occurrences.
Vector	FileBasedTemporalSemanticSpace.getVector(String word) Returns the provided word's semantic vector based on all temporal occurrences.
Vector	TemporalSemanticSpace.getVectorAfter(String word, long startTime) Returns the provided word's semantic vector based on all temporal occurrences occurring on or after the provided timestamp (optional operation).
Vector	FileBasedTemporalSemanticSpace.getVectorAfter(String word, long startTime) Returns the provided word's semantic vector based on all temporal occurrences occurring on or after the provided timestamp (optional operation).
Vector	TemporalSemanticSpace.getVectorBefore(String word, long endTime) Returns the provided word's semantic vector based on all temporal occurrences before the provided timestamp (optional operation).
Vector	FileBasedTemporalSemanticSpace.getVectorBefore(String word, long endTime) Returns the provided word's semantic vector based on all temporal occurrences before the provided timestamp (optional operation).
Vector	TemporalSemanticSpace.getVectorBetween(String word, long startTime, long endTime) Returns the provided word's semantic vector based on all temporal occurrences that happened on or after the start timestamp but before the ending timestamp (optional operation).
Vector	FileBasedTemporalSemanticSpace.getVectorBetween(String word, long start, long endTime) Returns the provided word's semantic vector based on all temporal occurrences that happened on or after the start timestamp but before the ending timestamp (optional operation).

Uses of Vector in edu.ucla.sspace.tri

Methods in edu.ucla.sspace.tri that return Vector

Modifier and Type	Method and Description
Vector	OrderedTemporalRandomIndexing.getVector(String word) Returns the provided word's semantic vector based on all temporal occurrences.
Vector	OrderedTemporalRandomIndexing.getVectorAfter(String word, long startTime) Not supported
Vector	OrderedTemporalRandomIndexing.getVectorBefore(String word, long endTime) Not supported
Vector	OrderedTemporalRandomIndexing.getVectorBetween(String word, long startTime, long endTime) Not supported

Uses of Vector in edu.ucla.sspace.util

Methods in edu.ucla.sspace.util with parameters of type Vector

Modifier and Type	Method and Description
SortedMultiMap<Double,String>	NearestNeighborFinder.getMostSimilar(Vector v, int numberOfSimilarWords) Finds the k most similar words in the semantic space according to the cosine similarity, returning a mapping from their similarity to the word itself.
SortedMultiMap<Double,String>	SimpleNearestNeighborFinder.getMostSimilar(Vector v, int numberOfSimilarWords) Finds the k most similar words in the semantic space according to the cosine similarity, returning a mapping from their similarity to the word itself.
SortedMultiMap<Double,String>	PartitioningNearestNeighborFinder.getMostSimilar(Vector v, int numberOfSimilarWords) Finds the k most similar words in the semantic space according to the cosine similarity, returning a mapping from their similarity to the word itself.

Uses of Vector in edu.ucla.sspace.vector

Subinterfaces of Vector in edu.ucla.sspace.vector

Modifier and Type	Interface and Description
interface	DoubleVector An generalized interface for vectors.
interface	IntegerVector An Integer based Vector.
interface	SparseDoubleVector An interface for sparse DoubleVector instances.
interface	SparseIntegerVector An interface for sparse IntegerVector instances.
interface	SparseVector<T extends Number> An interface for Vector implementations whose values are sparse and that support access to only those indices with non-zero values.

Classes in edu.ucla.sspace.vector that implement Vector

Modifier and Type	Class and Description
class	AbstractDoubleVector An abstract base class that provides default implementations of common methods in DoubleVector.
class	AbstractIntegerVector An abstract base class that provides default implementations of common methods in IntegerVector.
class	AbstractVector<T extends Number> An abstract base class that provides default implementations of common methods in Vector.
class	AmortizedSparseVector An implementation of a sparse vector based on the Yale Sparse matrix format.
class	AtomicSparseVector A decorator of a Vector which provides atomic concurrent access to another Vector.
class	AtomicVector A decorator of a Vector which provides atomic concurrent access to another Vector.
class	CompactSparseIntegerVector A sparse IntegerVector class whose data is back by a compact sparse array.
class	CompactSparseVector A Vector instance that keeps only the non-zero values in memory, thereby saving space at the expense of time.
class	DenseDynamicMagnitudeVector A Vector where all values are held in memory.
class	DenseIntVector An IntegerVector class whose data is back by an array.
class	DenseVector A Vector where all values are held in memory.
class	MaskedDoubleVectorView A decorator that masked view of a Vector through the use of a mapping from new column indices to original column indices.
class	MaskedSparseDoubleVectorView A decorator that masked view of a SparseVector through the use of a mapping from new column indices to original column indices.
class	ScaledDoubleVector A decorator for DoubleVectors that scales every value in a given DoubleVector by some non zero scale.
class	ScaledSparseDoubleVector A decorator for SparseDoubleVectors that scales every value in a given DoubleVector by some non zero scale.
class	SparseHashDoubleVector A SparseVector implementation backed by a Map.
class	SparseHashIntegerVector A SparseVector implementation backed by a HashMap.
class	SparseHashVector<T extends Number> A SparseVector implementation backed by a HashMap.
class	TernaryVector An unmodifiable vector with ternary (+1, 0, -1) values.

Methods in edu.ucla.sspace.vector with type parameters of type Vector

Modifier and Type	Method and Description
static <T extends Vector> T	Vectors.instanceOf(T vector) Creates a Vector instance of the same type and length of the provided vector.

Methods in edu.ucla.sspace.vector that return Vector

Modifier and Type	Method and Description
static Vector	VectorMath.add(Vector vector1, Vector vector2) Adds the second Vector to the first Vector and returns the result.
static Vector	VectorMath.addUnmodified(Vector vector1, Vector vector2) Returns a new Vector which is the summation of vector2 and vector1.
static Vector	VectorMath.addWithScalars(DoubleVector vector1, double weight1, DoubleVector vector2, double weight2) Adds two DoubleVectors with some scalar weight for each DoubleVector.
static Vector	VectorMath.addWithScalars(IntegerVector vector1, int weight1, IntegerVector vector2, int weight2) Adds two IntegerVectors with some scalar weight for each Vector.
static Vector	VectorMath.addWithScalars(Vector vector1, double weight1, Vector vector2, double weight2) Adds two Vectors with some scalar weight for each Vector.
static Vector	Vectors.copy(Vector dest, Vector source) Copies all of the values from one Vector into another.
static Vector	Vectors.copyOf(Vector source) Creates a copy of a given Vector.
static Vector	Vectors.immutable(Vector vector) Returns an immutable view of the given Vector.
static Vector	VectorMath.multiply(Vector left, Vector right) Mulitplies the values in left and right and store the product in left.
static Vector	VectorMath.subtract(Vector vector1, Vector vector2) Subtracts the second Vector fromt the first Vector and returns the result.

Methods in edu.ucla.sspace.vector with parameters of type Vector

Modifier and Type	Method and Description
static Vector	VectorMath.add(Vector vector1, Vector vector2) Adds the second Vector to the first Vector and returns the result.
static Vector	VectorMath.add(Vector vector1, Vector vector2) Adds the second Vector to the first Vector and returns the result.
static Vector	VectorMath.addUnmodified(Vector vector1, Vector vector2) Returns a new Vector which is the summation of vector2 and vector1.
static Vector	VectorMath.addUnmodified(Vector vector1, Vector vector2) Returns a new Vector which is the summation of vector2 and vector1.
static Vector	VectorMath.addWithScalars(Vector vector1, double weight1, Vector vector2, double weight2) Adds two Vectors with some scalar weight for each Vector.
static Vector	VectorMath.addWithScalars(Vector vector1, double weight1, Vector vector2, double weight2) Adds two Vectors with some scalar weight for each Vector.
static DoubleVector	Vectors.asDouble(Vector v) Returns a view over the given Vector as a DoubleVector.
static Vector	Vectors.copy(Vector dest, Vector source) Copies all of the values from one Vector into another.
static Vector	Vectors.copy(Vector dest, Vector source) Copies all of the values from one Vector into another.
static Vector	Vectors.copyOf(Vector source) Creates a copy of a given Vector.
static double	VectorMath.dotProduct(Vector x, Vector y) Computes the dot product, xTy of the two vectors.
static double	VectorMath.dotProduct(Vector x, Vector y) Computes the dot product, xTy of the two vectors.
static boolean	Vectors.equals(Vector v1, Vector v2) Returns true if the two vectors are equal to one another.
static boolean	Vectors.equals(Vector v1, Vector v2) Returns true if the two vectors are equal to one another.
static Vector	Vectors.immutable(Vector vector) Returns an immutable view of the given Vector.
static Vector	VectorMath.multiply(Vector left, Vector right) Mulitplies the values in left and right and store the product in left.
static Vector	VectorMath.multiply(Vector left, Vector right) Mulitplies the values in left and right and store the product in left.
static Vector	VectorMath.subtract(Vector vector1, Vector vector2) Subtracts the second Vector fromt the first Vector and returns the result.
static Vector	VectorMath.subtract(Vector vector1, Vector vector2) Subtracts the second Vector fromt the first Vector and returns the result.
static String	VectorIO.toString(Vector vector) Convert a Vector to a String where values are separated by spaces.

Uses of Vector in edu.ucla.sspace.wordsi

Methods in edu.ucla.sspace.wordsi that return Vector

Modifier and Type	Method and Description
Vector	EvaluationWordsi.getVector(String term) Returns the semantic vector for the provided word.