Uses of Interface
org.tribuo.math.la.SGDVector

Packages that use SGDVector

Package	Description
org.tribuo.math	Contains the implementation of Tribuo's math library, it's gradient descent optimisers, kernels and a set of math related utils.
org.tribuo.math.distance	An interface for distance computations between two SGDVector instances along with some standard implementations.
org.tribuo.math.la	Provides a linear algebra system used for numerical operations in Tribuo.
org.tribuo.math.neighbour	Provides nearest neighbour query functionality.
org.tribuo.math.neighbour.bruteforce	Provides a brute-force nearest neighbour query implementation.
org.tribuo.math.neighbour.kdtree	Provides a k-d tree nearest neighbour query implementation.
org.tribuo.math.onnx	Utilities for converting Tribuo math objects into ONNX representations.
org.tribuo.math.optimisers.util	Provides some utility tensors for use in gradient optimisers.

Uses of SGDVector in org.tribuo.math

Methods in org.tribuo.math with parameters of type SGDVector

Modifier and Type	Method	Description
Tensor[]	FeedForwardParameters.gradients(com.oracle.labs.mlrg.olcut.util.Pair<Double, SGDVector> score, SGDVector features)	Generates the parameter gradients given the loss, output gradient and input features.
Tensor[]	LinearParameters.gradients(com.oracle.labs.mlrg.olcut.util.Pair<Double, SGDVector> score, SGDVector features)	Generate the gradients for a particular feature vector given the loss and the per output gradients.
DenseVector	FeedForwardParameters.predict(SGDVector example)	Generates an un-normalized prediction by feeding the features through the parameters.
DenseVector	LinearParameters.predict(SGDVector example)	Generates an unnormalised prediction by leftMultiply'ing the weights with the incoming features.

Method parameters in org.tribuo.math with type arguments of type SGDVector

Modifier and Type	Method	Description
Tensor[]	FeedForwardParameters.gradients(com.oracle.labs.mlrg.olcut.util.Pair<Double, SGDVector> score, SGDVector features)	Generates the parameter gradients given the loss, output gradient and input features.
Tensor[]	LinearParameters.gradients(com.oracle.labs.mlrg.olcut.util.Pair<Double, SGDVector> score, SGDVector features)	Generate the gradients for a particular feature vector given the loss and the per output gradients.

Uses of SGDVector in org.tribuo.math.distance

Methods in org.tribuo.math.distance with parameters of type SGDVector

Modifier and Type	Method	Description
double	CosineDistance.computeDistance(SGDVector first, SGDVector second)
double	Distance.computeDistance(SGDVector first, SGDVector second)	Computes the distance between the two vectors.
double	DistanceType.computeDistance(SGDVector vector1, SGDVector vector2)	Calculates the distance between two vectors.
double	L1Distance.computeDistance(SGDVector first, SGDVector second)
double	L2Distance.computeDistance(SGDVector first, SGDVector second)

Uses of SGDVector in org.tribuo.math.la

Classes in org.tribuo.math.la that implement SGDVector

Modifier and Type	Class	Description
class	DenseVector	A dense vector, backed by a double array.
class	SparseVector	A sparse vector.

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

Modifier and Type	Method	Description
SGDVector	SGDVector.add(SGDVector other)	Adds other to this vector, producing a new SGDVector.
SGDVector	SparseVector.add(SGDVector other)	Adds other to this vector, producing a new SGDVector.
SGDVector	SGDVector.copy()	Returns a deep copy of this vector.
SGDVector	Matrix.getColumn(int index)	Returns a copy of the specified column.
SGDVector	Matrix.getRow(int i)	An SGDVector view of the row.
SGDVector	Matrix.leftMultiply(SGDVector input)	Multiplies this Matrix by a SGDVector returning a vector of the appropriate size.
SGDVector	Matrix.rightMultiply(SGDVector input)	Multiplies this Matrix by a SGDVector returning a vector of the appropriate size.
SGDVector	SGDVector.scale(double coefficient)	Generates a new vector with each element scaled by coefficient.
SGDVector	Matrix.Factorization.solve(SGDVector vector)	Solves a system of linear equations A * b = y, where y is the input vector, A is the matrix which produced this factorization, and b is the returned value.
SGDVector	SGDVector.subtract(SGDVector other)	Subtracts other from this vector, producing a new SGDVector.
SGDVector	SparseVector.subtract(SGDVector other)	Subtracts other from this vector, producing a new SGDVector.

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

Modifier and Type	Method	Description
DenseVector	DenseVector.add(SGDVector other)	Adds other to this vector, producing a new DenseVector.
SGDVector	SGDVector.add(SGDVector other)	Adds other to this vector, producing a new SGDVector.
SGDVector	SparseVector.add(SGDVector other)	Adds other to this vector, producing a new SGDVector.
void	DenseMatrix.broadcastIntersectAndAddInPlace(SGDVector input, boolean broadcastOverDim1)	Broadcasts the input vector and adds it to each row/column of the matrix.
default double	SGDVector.cosineDistance(SGDVector other)	Calculates the cosine distance of two vectors.
default double	SGDVector.cosineSimilarity(SGDVector other)	Calculates the cosine similarity of two vectors.
static DenseMatrix	DenseMatrix.createDenseMatrix(SGDVector[] vectors)	Constructs a new DenseMatrix copying the values from the supplied vectors.
static DenseSparseMatrix	DenseSparseMatrix.createDiagonal(SGDVector diagonal)	Creates a diagonal matrix using the supplied values.
double	SparseVector.distance(SGDVector other, DoubleUnaryOperator transformFunc, DoubleUnaryOperator normalizeFunc)	Computes the distance between this vector and the other vector.
double	DenseVector.dot(SGDVector other)
double	SGDVector.dot(SGDVector other)	Calculates the dot product between this vector and other.
double	SparseVector.dot(SGDVector other)
double	DenseVector.euclideanDistance(SGDVector other)	The l2 or euclidean distance between this vector and the other vector.
double	SGDVector.euclideanDistance(SGDVector other)	The l2 or euclidean distance between this vector and the other vector.
double	SparseVector.euclideanDistance(SGDVector other)
double	DenseVector.l1Distance(SGDVector other)	The l1 or Manhattan distance between this vector and the other vector.
double	SGDVector.l1Distance(SGDVector other)	The l1 or Manhattan distance between this vector and the other vector.
double	SparseVector.l1Distance(SGDVector other)
default double	SGDVector.l2Distance(SGDVector other)	Synonym for euclideanDistance.
DenseVector	DenseMatrix.leftMultiply(SGDVector input)
DenseVector	DenseSparseMatrix.leftMultiply(SGDVector input)
SGDVector	Matrix.leftMultiply(SGDVector input)	Multiplies this Matrix by a SGDVector returning a vector of the appropriate size.
Matrix	DenseVector.outer(SGDVector other)
Matrix	SGDVector.outer(SGDVector other)	Generates the matrix representing the outer product between the two vectors.
Matrix	SparseVector.outer(SGDVector other)	This generates the outer product when dotted with another SparseVector.
DenseVector	DenseMatrix.rightMultiply(SGDVector input)
DenseVector	DenseSparseMatrix.rightMultiply(SGDVector input)	rightMultiply is very inefficient on DenseSparseMatrix due to the storage format.
SGDVector	Matrix.rightMultiply(SGDVector input)	Multiplies this Matrix by a SGDVector returning a vector of the appropriate size.
void	DenseMatrix.setColumn(int index, SGDVector vector)	Sets the column to the supplied vector value.
DenseVector	DenseMatrix.CholeskyFactorization.solve(SGDVector vector)	Solves a system of linear equations A * b = y, where y is the input vector, A is the matrix which produced this Cholesky factorization, and b is the returned value.
DenseVector	DenseMatrix.EigenDecomposition.solve(SGDVector vector)	Solves a system of linear equations A * b = y, where y is the input vector, A is the matrix which produced this eigen decomposition, and b is the returned value.
DenseVector	DenseMatrix.LUFactorization.solve(SGDVector vector)	Solves a system of linear equations A * b = y, where y is the input vector, A is the matrix which produced this LU factorization, and b is the returned value.
SGDVector	Matrix.Factorization.solve(SGDVector vector)	Solves a system of linear equations A * b = y, where y is the input vector, A is the matrix which produced this factorization, and b is the returned value.
DenseVector	DenseVector.subtract(SGDVector other)	Subtracts other from this vector, producing a new DenseVector.
SGDVector	SGDVector.subtract(SGDVector other)	Subtracts other from this vector, producing a new SGDVector.
SGDVector	SparseVector.subtract(SGDVector other)	Subtracts other from this vector, producing a new SGDVector.

Uses of SGDVector in org.tribuo.math.neighbour

Methods in org.tribuo.math.neighbour with parameters of type SGDVector

Modifier and Type	Method	Description
NeighboursQuery	NeighboursQueryFactory.createNeighboursQuery(SGDVector[] data)	Constructs a nearest neighbour query object using the supplied array of SGDVector.
List<List<com.oracle.labs.mlrg.olcut.util.Pair<Integer,Double>>>	NeighboursQuery.query(SGDVector[] points, int k)	Queries a set of SGDVectors to determine the k points nearest to the provided points.
List<com.oracle.labs.mlrg.olcut.util.Pair<Integer,Double>>	NeighboursQuery.query(SGDVector point, int k)	Queries a set of SGDVectors to determine the k points nearest to the provided point.

Uses of SGDVector in org.tribuo.math.neighbour.bruteforce

Methods in org.tribuo.math.neighbour.bruteforce with parameters of type SGDVector

Modifier and Type	Method	Description
NeighboursBruteForce	NeighboursBruteForceFactory.createNeighboursQuery(SGDVector[] data)	Constructs a brute-force nearest neighbor query object using the supplied array of SGDVector.
List<List<com.oracle.labs.mlrg.olcut.util.Pair<Integer,Double>>>	NeighboursBruteForce.query(SGDVector[] points, int k)
List<com.oracle.labs.mlrg.olcut.util.Pair<Integer,Double>>	NeighboursBruteForce.query(SGDVector point, int k)

Uses of SGDVector in org.tribuo.math.neighbour.kdtree

Methods in org.tribuo.math.neighbour.kdtree with parameters of type SGDVector

Modifier and Type	Method	Description
org.tribuo.math.neighbour.kdtree.DimensionNode	KDTree.approximateParentNode(SGDVector point)	This makes a fast approximation of the provided point's parent node, if it were being inserted into the tree.
KDTree	KDTreeFactory.createNeighboursQuery(SGDVector[] data)	Constructs a k-d tree nearest neighbor query object using the supplied array of SGDVector.
List<List<com.oracle.labs.mlrg.olcut.util.Pair<Integer,Double>>>	KDTree.query(SGDVector[] points, int k)
List<com.oracle.labs.mlrg.olcut.util.Pair<Integer,Double>>	KDTree.query(SGDVector point, int k)

Uses of SGDVector in org.tribuo.math.onnx

Methods in org.tribuo.math.onnx with parameters of type SGDVector

Modifier and Type	Method	Description
static org.tribuo.util.onnx.ONNXInitializer	ONNXMathUtils.floatVector(org.tribuo.util.onnx.ONNXContext context, String name, SGDVector vector)	Builds a ONNXInitializer containing the SGDVector.

Uses of SGDVector in org.tribuo.math.optimisers.util

Classes in org.tribuo.math.optimisers.util that implement SGDVector

Modifier and Type	Class	Description
class	ShrinkingVector	A subclass of DenseVector which shrinks the value every time a new value is added.

Methods in org.tribuo.math.optimisers.util with parameters of type SGDVector

Modifier and Type	Method	Description
double	ShrinkingVector.dot(SGDVector other)
DenseVector	ShrinkingMatrix.leftMultiply(SGDVector input)