Uses of Class
org.tribuo.math.la.SparseVector

Packages that use SparseVector

Package	Description
org.tribuo.math.kernel	Provides a Kernel interface for Mercer kernels, along with implementations of standard kernels.
org.tribuo.math.la	Provides a linear algebra system used for numerical operations in Tribuo.
org.tribuo.math.util	Provides math related util classes.

Uses of SparseVector in org.tribuo.math.kernel

Methods in org.tribuo.math.kernel with parameters of type SparseVector

Modifier and Type	Method	Description
double	Kernel.similarity(SparseVector first, SparseVector second)	Calculates the similarity between two SparseVectors.
double	Linear.similarity(SparseVector a, SparseVector b)
double	Polynomial.similarity(SparseVector a, SparseVector b)
double	RBF.similarity(SparseVector a, SparseVector b)
double	Sigmoid.similarity(SparseVector a, SparseVector b)

Uses of SparseVector in org.tribuo.math.la

Methods in org.tribuo.math.la that return SparseVector

Modifier and Type	Method	Description
SparseVector	SparseVector.copy()
static SparseVector	SparseVector.createSparseVector(int dimension, int[] indices, double[] values)	Defensively copies the input, and checks that the indices are sorted.
static SparseVector	SparseVector.createSparseVector(int dimension, Map<Integer,Double> indexMap)	Builds a SparseVector from a map.
static <T extends Output<T>> SparseVector	SparseVector.createSparseVector(Example<T> example, ImmutableFeatureMap featureInfo, boolean addBias)	Builds a SparseVector from an Example.
static SparseVector	SparseVector.deserializeFromProto(int version, String className, com.google.protobuf.Any message)	Deserialization factory.
SparseVector	DenseSparseMatrix.getColumn(int i)	Gets a copy of the column.
SparseVector	DenseSparseMatrix.getRow(int i)
SparseVector	SparseVector.scale(double coefficient)
SparseVector	DenseVector.sparsify()	Generates a SparseVector representation from this dense vector, removing all values with absolute value below VectorTuple.DELTA.
SparseVector	DenseVector.sparsify(double tolerance)	Generates a SparseVector representation from this dense vector, removing all values with absolute value below the supplied tolerance.
static <T extends Output<T>> SparseVector[]	SparseVector.transpose(Dataset<T> dataset)	Converts a dataset of row-major examples into an array of column-major sparse vectors.
static <T extends Output<T>> SparseVector[]	SparseVector.transpose(Dataset<T> dataset, ImmutableFeatureMap fMap)	Converts a dataset of row-major examples into an array of column-major sparse vectors.
static SparseVector[]	SparseVector.transpose(SparseVector[] input)	Transposes an array of sparse vectors from row-major to column-major or vice versa.

Methods in org.tribuo.math.la with parameters of type SparseVector

Modifier and Type	Method	Description
static DenseSparseMatrix	DenseSparseMatrix.createFromSparseVectors(SparseVector[] values)	Defensively copies the values.
int[]	SparseVector.difference(SparseVector other)	Generates an array of the indices that are active in this vector but are not present in other.
int[]	SparseVector.intersection(SparseVector other)	Generates an array of the indices that are active in both this vector and other
static SparseVector[]	SparseVector.transpose(SparseVector[] input)	Transposes an array of sparse vectors from row-major to column-major or vice versa.

Constructor parameters in org.tribuo.math.la with type arguments of type SparseVector

Modifier	Constructor	Description
	DenseSparseMatrix(List<SparseVector> values)	Constructs a DenseSparseMatrix out of the supplied sparse vector list.

Uses of SparseVector in org.tribuo.math.util

Methods in org.tribuo.math.util that return SparseVector

Modifier and Type	Method	Description
static SparseVector	HeapMerger.merge(List<SparseVector> vectors, int dimension, int[] indicesBuffer, double[] valuesBuffer)	Merges a list of sparse vectors into a single sparse vector, summing the values.
SparseVector	HeapMerger.merge(SparseVector[] inputs)
SparseVector	MatrixHeapMerger.merge(SparseVector[] inputs)
SparseVector	Merger.merge(SparseVector[] inputs)	Merges an array of SparseVector into a single SparseVector.

Methods in org.tribuo.math.util with parameters of type SparseVector

Modifier and Type	Method	Description
SparseVector	HeapMerger.merge(SparseVector[] inputs)
SparseVector	MatrixHeapMerger.merge(SparseVector[] inputs)
SparseVector	Merger.merge(SparseVector[] inputs)	Merges an array of SparseVector into a single SparseVector.

Method parameters in org.tribuo.math.util with type arguments of type SparseVector

Modifier and Type	Method	Description
static SparseVector	HeapMerger.merge(List<SparseVector> vectors, int dimension, int[] indicesBuffer, double[] valuesBuffer)	Merges a list of sparse vectors into a single sparse vector, summing the values.