Uses of Interface
org.apache.ignite.ml.math.primitives.matrix.Matrix

Packages that use Matrix

Package	Description
org.apache.ignite.ml.composition.stacking	Contains classes used for training with stacking technique.
org.apache.ignite.ml.math	Contains main APIs for matrix/vector algebra.
org.apache.ignite.ml.math.primitives.matrix	Contains matrix related classes.
org.apache.ignite.ml.math.primitives.matrix.impl	Contains several matrix implementations.
org.apache.ignite.ml.math.primitives.vector	Contains vector related classes.
org.apache.ignite.ml.math.primitives.vector.impl	Contains several vector implementations.
org.apache.ignite.ml.math.primitives.vector.storage	Contains several vector storages.
org.apache.ignite.ml.math.stat	Contains utility classes for distributions.
org.apache.ignite.ml.math.util	Some math utils.
org.apache.ignite.ml.nn	Contains neural networks and related classes.
org.apache.ignite.ml.nn.initializers	Contains multilayer perceptron parameters initializers.
org.apache.ignite.ml.optimization	Contains implementations of optimization algorithms and related classes.
org.apache.ignite.ml.optimization.updatecalculators	Contains update calculators.

Uses of Matrix in org.apache.ignite.ml.composition.stacking

Methods in org.apache.ignite.ml.composition.stacking with type parameters of type Matrix

Modifier and Type	Method and Description
<M1 extends IgniteModel<Matrix,Matrix>> StackedVectorDatasetTrainer<O,AM,L>	StackedVectorDatasetTrainer.addMatrix2MatrixTrainer(DatasetTrainer<M1,L> trainer) Shortcut for adding trainer Matrix -> Matrix where this trainer is treated as Vector -> Vector, where input Vector is turned into 1 x cols Matrix and output is a first row of output Matrix.
<M1 extends IgniteModel<Matrix,Matrix>> StackedVectorDatasetTrainer<O,AM,L>	StackedVectorDatasetTrainer.addMatrix2MatrixTrainer(DatasetTrainer<M1,L> trainer) Shortcut for adding trainer Matrix -> Matrix where this trainer is treated as Vector -> Vector, where input Vector is turned into 1 x cols Matrix and output is a first row of output Matrix.

Uses of Matrix in org.apache.ignite.ml.math

Methods in org.apache.ignite.ml.math with parameters of type Matrix

Modifier and Type	Method and Description
static String	Tracer.asAscii(Matrix mtx, String fmt)
static void	Blas.checkCardinality(Matrix a, Vector v) Checks if Matrix A can be multiplied by vector v, if not CardinalityException is thrown.
static void	Blas.gemm(double alpha, Matrix a, Matrix b, double beta, Matrix c) For the moment we have no flags indicating if matrix is transposed or not.
static void	Blas.gemv(double alpha, Matrix a, Vector x, double beta, Vector y) y := alpha * A * x + beta * y.
static void	Tracer.saveAsCsv(Matrix mtx, String fmt, String filePath) Saves given matrix as CSV file.
static void	Tracer.showAscii(Matrix mtx)
static void	Tracer.showAscii(Matrix mtx, IgniteLogger log, String fmt)
static void	Tracer.showAscii(Matrix mtx, String fmt)
static void	Tracer.showHtml(Matrix mtx) Shows given matrix in the browser with D3-based visualization.
static void	Tracer.showHtml(Matrix mtx, boolean useAsciiFallback) Shows given matrix in the browser with D3-based visualization.
static void	Tracer.showHtml(Matrix mtx, Tracer.ColorMapper cm) Shows given matrix in the browser with D3-based visualization.
static void	Tracer.showHtml(Matrix mtx, Tracer.ColorMapper cm, boolean useAsciiFallback) Shows given matrix in the browser with D3-based visualization.

Uses of Matrix in org.apache.ignite.ml.math.primitives.matrix

Classes in org.apache.ignite.ml.math.primitives.matrix that implement Matrix

Modifier and Type	Class and Description
class	AbstractMatrix This class provides a helper implementation of the Matrix interface to minimize the effort required to implement it.

Methods in org.apache.ignite.ml.math.primitives.matrix that return Matrix

Modifier and Type	Method and Description
Matrix	AbstractMatrix.assign(double val) Assigns given value to all elements of this matrix.
Matrix	Matrix.assign(double val) Assigns given value to all elements of this matrix.
Matrix	AbstractMatrix.assign(double[][] vals) Assigns given values to this matrix.
Matrix	Matrix.assign(double[][] vals) Assigns given values to this matrix.
Matrix	AbstractMatrix.assign(IntIntToDoubleFunction fun) Assigns each matrix element to the value generated by given function.
Matrix	Matrix.assign(IntIntToDoubleFunction fun) Assigns each matrix element to the value generated by given function.
Matrix	AbstractMatrix.assign(Matrix mtx) Assigns values from given matrix to this matrix.
Matrix	Matrix.assign(Matrix mtx) Assigns values from given matrix to this matrix.
Matrix	AbstractMatrix.assignColumn(int col, Vector vec) Assigns values from given vector to the specified column in this matrix.
Matrix	Matrix.assignColumn(int col, Vector vec) Assigns values from given vector to the specified column in this matrix.
Matrix	AbstractMatrix.assignRow(int row, Vector vec) Assigns values from given vector to the specified row in this matrix.
Matrix	Matrix.assignRow(int row, Vector vec) Assigns values from given vector to the specified row in this matrix.
Matrix	AbstractMatrix.copy() Clones this matrix.
Matrix	Matrix.copy() Clones this matrix.
Matrix	AbstractMatrix.divide(double d) Divides each value in this matrix by the argument.
Matrix	Matrix.divide(double x) Divides each value in this matrix by the argument.
Matrix	LUDecomposition.getL() Returns the matrix L of the decomposition.
Matrix	LUDecomposition.getP() Returns the P rows permutation matrix.
Matrix	LUDecomposition.getU() Returns the matrix U of the decomposition.
Matrix	AbstractMatrix.inverse() Returns the inverse matrix of this matrix
Matrix	Matrix.inverse() Returns the inverse matrix of this matrix
Matrix	Matrix.like(int rows, int cols) Creates new empty matrix of the same underlying class but of different size.
protected Matrix	AbstractMatrix.likeIdentity()
Matrix	AbstractMatrix.map(IgniteDoubleFunction<Double> fun) Maps all values in this matrix through a given function.
Matrix	Matrix.map(IgniteDoubleFunction<Double> fun) Maps all values in this matrix through a given function.
Matrix	AbstractMatrix.map(Matrix mtx, IgniteBiFunction<Double,Double,Double> fun) Maps all values in this matrix through a given function.
Matrix	Matrix.map(Matrix mtx, IgniteBiFunction<Double,Double,Double> fun) Maps all values in this matrix through a given function.
Matrix	AbstractMatrix.minus(Matrix mtx) Creates new matrix where each value is a difference between corresponding value of this matrix and passed in argument matrix.
Matrix	Matrix.minus(Matrix mtx) Creates new matrix where each value is a difference between corresponding value of this matrix and passed in argument matrix.
Matrix	AbstractMatrix.plus(double x) Creates new matrix where each value is a sum of the corresponding value of this matrix and argument value.
Matrix	Matrix.plus(double x) Creates new matrix where each value is a sum of the corresponding value of this matrix and argument value.
Matrix	AbstractMatrix.plus(Matrix mtx) Creates new matrix where each value is a sum of corresponding values of this matrix and passed in argument matrix.
Matrix	Matrix.plus(Matrix mtx) Creates new matrix where each value is a sum of corresponding values of this matrix and passed in argument matrix.
Matrix	AbstractMatrix.set(int row, int col, double val) Sets given value.
Matrix	Matrix.set(int row, int col, double val) Sets given value.
Matrix	AbstractMatrix.setColumn(int col, double[] data) Sets values for given column.
Matrix	Matrix.setColumn(int col, double[] data) Sets values for given column.
Matrix	AbstractMatrix.setRow(int row, double[] data) Sets values for given row.
Matrix	Matrix.setRow(int row, double[] data) Sets values for given row.
Matrix	AbstractMatrix.setX(int row, int col, double val) Sets given value without checking for index bounds.
Matrix	Matrix.setX(int row, int col, double val) Sets given value without checking for index bounds.
Matrix	LUDecomposition.solve(Matrix b)
Matrix	AbstractMatrix.swapColumns(int col1, int col2) Swaps two columns in this matrix.
Matrix	Matrix.swapColumns(int col1, int col2) Swaps two columns in this matrix.
Matrix	AbstractMatrix.swapRows(int row1, int row2) Swaps two rows in this matrix.
Matrix	Matrix.swapRows(int row1, int row2) Swaps two rows in this matrix.
Matrix	AbstractMatrix.times(double x) Creates new matrix containing the product of given value and values in this matrix.
Matrix	Matrix.times(double x) Creates new matrix containing the product of given value and values in this matrix.
Matrix	AbstractMatrix.times(Matrix mtx) Creates new matrix that is the product of multiplying this matrix and the argument matrix.
Matrix	Matrix.times(Matrix mtx) Creates new matrix that is the product of multiplying this matrix and the argument matrix.
Matrix	AbstractMatrix.transpose() Creates new matrix that is transpose of this matrix.
Matrix	Matrix.transpose() Creates new matrix that is transpose of this matrix.

Methods in org.apache.ignite.ml.math.primitives.matrix with parameters of type Matrix

Modifier and Type	Method and Description
Matrix	AbstractMatrix.assign(Matrix mtx) Assigns values from given matrix to this matrix.
Matrix	Matrix.assign(Matrix mtx) Assigns values from given matrix to this matrix.
Matrix	AbstractMatrix.map(Matrix mtx, IgniteBiFunction<Double,Double,Double> fun) Maps all values in this matrix through a given function.
Matrix	Matrix.map(Matrix mtx, IgniteBiFunction<Double,Double,Double> fun) Maps all values in this matrix through a given function.
Matrix	AbstractMatrix.minus(Matrix mtx) Creates new matrix where each value is a difference between corresponding value of this matrix and passed in argument matrix.
Matrix	Matrix.minus(Matrix mtx) Creates new matrix where each value is a difference between corresponding value of this matrix and passed in argument matrix.
Matrix	AbstractMatrix.plus(Matrix mtx) Creates new matrix where each value is a sum of corresponding values of this matrix and passed in argument matrix.
Matrix	Matrix.plus(Matrix mtx) Creates new matrix where each value is a sum of corresponding values of this matrix and passed in argument matrix.
Matrix	LUDecomposition.solve(Matrix b)
Matrix	AbstractMatrix.times(Matrix mtx) Creates new matrix that is the product of multiplying this matrix and the argument matrix.
Matrix	Matrix.times(Matrix mtx) Creates new matrix that is the product of multiplying this matrix and the argument matrix.

Constructors in org.apache.ignite.ml.math.primitives.matrix with parameters of type Matrix

Constructor and Description
LUDecomposition(Matrix matrix) Calculates the LU-decomposition of the given matrix.
LUDecomposition(Matrix matrix, double singularityThreshold) Calculates the LUP-decomposition of the given matrix.

Uses of Matrix in org.apache.ignite.ml.math.primitives.matrix.impl

Classes in org.apache.ignite.ml.math.primitives.matrix.impl that implement Matrix

Modifier and Type	Class and Description
class	DenseMatrix Basic implementation for matrix.
class	SparseMatrix Sparse local onheap matrix with SparseVector as rows.
class	ViewMatrix Implements the rectangular view into the parent Matrix.

Methods in org.apache.ignite.ml.math.primitives.matrix.impl that return Matrix

Modifier and Type	Method and Description
Matrix	ViewMatrix.copy() Clones this matrix.
Matrix	DenseMatrix.copy() Clones this matrix.
Matrix	SparseMatrix.copy() Clones this matrix.
Matrix	ViewMatrix.like(int rows, int cols) Creates new empty matrix of the same underlying class but of different size.
Matrix	DenseMatrix.like(int rows, int cols) Creates new empty matrix of the same underlying class but of different size.
Matrix	SparseMatrix.like(int rows, int cols) Creates new empty matrix of the same underlying class but of different size.

Constructors in org.apache.ignite.ml.math.primitives.matrix.impl with parameters of type Matrix

Constructor and Description
ViewMatrix(Matrix parent, int rowOff, int colOff, int rows, int cols)

Uses of Matrix in org.apache.ignite.ml.math.primitives.vector

Methods in org.apache.ignite.ml.math.primitives.vector that return Matrix

Modifier and Type	Method and Description
Matrix	Vector.cross(Vector vec) Gets the cross product of this vector and the other vector.
Matrix	AbstractVector.cross(Vector vec) Gets the cross product of this vector and the other vector.
Matrix	Vector.likeMatrix(int rows, int cols) Creates new matrix of compatible flavor with given size.
Matrix	Vector.toMatrix(boolean rowLike) Converts this vector into [N x 1] or [1 x N] matrix where N is this vector cardinality.
Matrix	AbstractVector.toMatrix(boolean rowLike) Converts this vector into [N x 1] or [1 x N] matrix where N is this vector cardinality.
Matrix	Vector.toMatrixPlusOne(boolean rowLike, double zeroVal) Converts this vector into [N+1 x 1] or [1 x N+1] matrix where N is this vector cardinality
Matrix	AbstractVector.toMatrixPlusOne(boolean rowLike, double zeroVal) Converts this vector into [N+1 x 1] or [1 x N+1] matrix where N is this vector cardinality

Uses of Matrix in org.apache.ignite.ml.math.primitives.vector.impl

Methods in org.apache.ignite.ml.math.primitives.vector.impl that return Matrix

Modifier and Type	Method and Description
Matrix	DelegatingVector.cross(Vector vec) Gets the cross product of this vector and the other vector.
Matrix	DenseVector.likeMatrix(int rows, int cols) Creates new matrix of compatible flavor with given size.
Matrix	VectorView.likeMatrix(int rows, int cols) Creates new matrix of compatible flavor with given size.
Matrix	SparseVector.likeMatrix(int rows, int cols) Creates new matrix of compatible flavor with given size.
Matrix	VectorizedViewMatrix.likeMatrix(int rows, int cols) Creates new matrix of compatible flavor with given size.
Matrix	DelegatingVector.likeMatrix(int rows, int cols) Creates new matrix of compatible flavor with given size.
Matrix	DelegatingVector.toMatrix(boolean rowLike) Converts this vector into [N x 1] or [1 x N] matrix where N is this vector cardinality.
Matrix	DelegatingVector.toMatrixPlusOne(boolean rowLike, double zeroVal) Converts this vector into [N+1 x 1] or [1 x N+1] matrix where N is this vector cardinality

Constructors in org.apache.ignite.ml.math.primitives.vector.impl with parameters of type Matrix

Constructor and Description
VectorizedViewMatrix(Matrix parent, int row, int col, int rowStride, int colStride)

Uses of Matrix in org.apache.ignite.ml.math.primitives.vector.storage

Constructors in org.apache.ignite.ml.math.primitives.vector.storage with parameters of type Matrix

Constructor and Description
VectorizedViewMatrixStorage(Matrix parent, int row, int col, int rowStride, int colStride)

Uses of Matrix in org.apache.ignite.ml.math.stat

Methods in org.apache.ignite.ml.math.stat that return Matrix

Modifier and Type	Method and Description
Matrix	MultivariateGaussianDistribution.covariance()

Constructors in org.apache.ignite.ml.math.stat with parameters of type Matrix

Constructor and Description
MultivariateGaussianDistribution(Vector mean, Matrix covariance) Constructs an instance of MultivariateGaussianDistribution.

Uses of Matrix in org.apache.ignite.ml.math.util

Methods in org.apache.ignite.ml.math.util that return Matrix

Modifier and Type	Method and Description
static Matrix	MatrixUtil.copy(Matrix matrix) Create the copy of matrix with read-only matrices support.
static Matrix	MatrixUtil.elementWiseMinus(Matrix mtx1, Matrix mtx2) Performs in-place matrix subtraction.
static Matrix	MatrixUtil.elementWiseTimes(Matrix mtx1, Matrix mtx2) Performs in-place matrix multiplication.
static Matrix	MatrixUtil.identity(int n)
static Matrix	MatrixUtil.identityLike(Matrix matrix, int n) Create the identity matrix like a given matrix.
static Matrix	MatrixUtil.like(Matrix matrix) Create the like matrix with read-only matrices support.
static Matrix	MatrixUtil.like(Matrix matrix, int rows, int cols) Create the like matrix with specified size with read-only matrices support.

Methods in org.apache.ignite.ml.math.util with parameters of type Matrix

Modifier and Type	Method and Description
static Matrix	MatrixUtil.copy(Matrix matrix) Create the copy of matrix with read-only matrices support.
static Matrix	MatrixUtil.elementWiseMinus(Matrix mtx1, Matrix mtx2) Performs in-place matrix subtraction.
static Matrix	MatrixUtil.elementWiseTimes(Matrix mtx1, Matrix mtx2) Performs in-place matrix multiplication.
static Matrix	MatrixUtil.identityLike(Matrix matrix, int n) Create the identity matrix like a given matrix.
static Matrix	MatrixUtil.like(Matrix matrix) Create the like matrix with read-only matrices support.
static Matrix	MatrixUtil.like(Matrix matrix, int rows, int cols) Create the like matrix with specified size with read-only matrices support.
static Vector	MatrixUtil.likeVector(Matrix matrix) Create the like vector with read-only matrices support.
static Vector	MatrixUtil.likeVector(Matrix matrix, int crd) Create the like vector with read-only matrices support.
static void	MatrixUtil.unflatten(double[] fArr, Matrix mtx)
static Vector	MatrixUtil.zipFoldByColumns(Matrix mtx1, Matrix mtx2, IgniteBiFunction<Vector,Vector,Double> fun) Zips two matrices by column-by-column with specified function.
static Vector	MatrixUtil.zipFoldByRows(Matrix mtx1, Matrix mtx2, IgniteBiFunction<Vector,Vector,Double> fun) Zips two matrices by row-by-row with specified function.

Uses of Matrix in org.apache.ignite.ml.nn

Fields in org.apache.ignite.ml.nn declared as Matrix

Modifier and Type	Field and Description
protected Matrix	MLPState.input Input.
protected Matrix	MLPLayer.weights Weights matrix.

Fields in org.apache.ignite.ml.nn with type parameters of type Matrix

Modifier and Type	Field and Description
protected List<Matrix>	MLPState.activatorsOutput Output of activators.
protected List<Matrix>	MLPState.linearOutput Output of linear transformations.

Methods in org.apache.ignite.ml.nn that return Matrix

Modifier and Type	Method and Description
Matrix	MLPState.activatorsOutput(int layer) Output of activators of given layer.
Matrix	MultilayerPerceptron.forwardPass(Matrix val, MLPState state, boolean writeState) Perform forward pass and if needed write state of outputs of each layer.
Matrix	MLPState.linearOutput(int layer) Output of linear transformation of given layer.
Matrix	MultilayerPerceptron.predict(Matrix val) Makes a prediction for the given objects.
Matrix	MultilayerPerceptron.weights(int layerIdx) Get weights of layer with given index.

Methods in org.apache.ignite.ml.nn with parameters of type Matrix

Modifier and Type	Method and Description
MLPState	MultilayerPerceptron.computeState(Matrix val) Perform forward pass and return state of outputs of each layer.
Vector	MultilayerPerceptron.differentiateByParameters(IgniteFunction<Vector,IgniteDifferentiableVectorToDoubleFunction> loss, Matrix inputsBatch, Matrix truthBatch) Compose function in the following way: feed output of this model as input to second argument to loss function.
Matrix	MultilayerPerceptron.forwardPass(Matrix val, MLPState state, boolean writeState) Perform forward pass and if needed write state of outputs of each layer.
Matrix	MultilayerPerceptron.predict(Matrix val) Makes a prediction for the given objects.
MultilayerPerceptron	MultilayerPerceptron.setWeights(int layerIdx, Matrix weights) Sets the weighs of layer with a given index.

Constructors in org.apache.ignite.ml.nn with parameters of type Matrix

Constructor and Description
MLPLayer(Matrix weights, Vector biases) Construct MLPLayer from weights and biases.
MLPState(Matrix input) Construct MLP state.

Uses of Matrix in org.apache.ignite.ml.nn.initializers

Methods in org.apache.ignite.ml.nn.initializers with parameters of type Matrix

Modifier and Type	Method and Description
void	RandomInitializer.initWeights(Matrix weights) In-place change values of matrix representing weights.
void	MLPInitializer.initWeights(Matrix weights) In-place change values of matrix representing weights.

Uses of Matrix in org.apache.ignite.ml.optimization

Methods in org.apache.ignite.ml.optimization with parameters of type Matrix

Modifier and Type	Method and Description
Vector	SmoothParametrized.differentiateByParameters(IgniteFunction<Vector,IgniteDifferentiableVectorToDoubleFunction> loss, Matrix inputsBatch, Matrix truthBatch) Compose function in the following way: feed output of this model as input to second argument to loss function.

Uses of Matrix in org.apache.ignite.ml.optimization.updatecalculators

Methods in org.apache.ignite.ml.optimization.updatecalculators with parameters of type Matrix

Modifier and Type	Method and Description
NesterovParameterUpdate	NesterovUpdateCalculator.calculateNewUpdate(M mdl, NesterovParameterUpdate updaterParameters, int iteration, Matrix inputs, Matrix groundTruth) Calculate new update.
P	ParameterUpdateCalculator.calculateNewUpdate(M mdl, P updaterParameters, int iteration, Matrix inputs, Matrix groundTruth) Calculate new update.
RPropParameterUpdate	RPropUpdateCalculator.calculateNewUpdate(SmoothParametrized mdl, RPropParameterUpdate updaterParams, int iteration, Matrix inputs, Matrix groundTruth) Calculate new update.
SimpleGDParameterUpdate	SimpleGDUpdateCalculator.calculateNewUpdate(SmoothParametrized mlp, SimpleGDParameterUpdate updaterParameters, int iteration, Matrix inputs, Matrix groundTruth) Calculate new update.