Uses of Class
io.bhagat.math.linearalgebra.Matrix

Packages that use Matrix

Package	Description
io.bhagat.ai.supervised	A package that holds AI algorithms that fall under supervised learning
io.bhagat.ai.unsupervised	A package that holds AI algorithms that fall under unsupervised learning
io.bhagat.math.linearalgebra	A package for storing linear algebra

Uses of Matrix in io.bhagat.ai.supervised

Fields in io.bhagat.ai.supervised declared as Matrix

Modifier and Type	Field	Description
private Matrix[]	NeuralNetwork.bias	the bias for each layer
private Matrix[]	NeuralNetwork.weights	the weights for each layer

Methods in io.bhagat.ai.supervised that return Matrix

Modifier and Type	Method	Description
Matrix	NeuralNetwork.feedForward(Matrix inputs)	the feed forward algorithm for making a guess based on the inputs
Matrix[]	NeuralNetwork.getBias()
Matrix[]	NeuralNetwork.getWeights()

Methods in io.bhagat.ai.supervised with parameters of type Matrix

Modifier and Type	Method	Description
Matrix	NeuralNetwork.feedForward(Matrix inputs)	the feed forward algorithm for making a guess based on the inputs
void	NeuralNetwork.setBias(Matrix[] bias)
void	NeuralNetwork.setWeights(Matrix[] weights)
void	NeuralNetwork.train(Matrix inputs, Matrix targets)	trains the network based on certain inputs and the known targets for those inputs

Uses of Matrix in io.bhagat.ai.unsupervised

Fields in io.bhagat.ai.unsupervised declared as Matrix

Modifier and Type	Field	Description
private Matrix	PrincipalComponentAnalysis.C
Matrix	PrincipalComponentAnalysis.data
private Matrix	PrincipalComponentAnalysis.X

Methods in io.bhagat.ai.unsupervised that return Matrix

Modifier and Type	Method	Description
static Matrix	PrincipalComponentAnalysis.centerData(Matrix X)	Centers the data from the matrix X at the column mean
static Matrix	PrincipalComponentAnalysis.covarianceMatrix(Matrix X)	creates the covariance matrix for the data
static Matrix	PrincipalComponentAnalysis.createMatrix(byte[] data)	creates a matrix from a byte array
Matrix	PrincipalComponentAnalysis.dimensionReduction()	Reduces the dimensions of the data matrix so only the important dimensions remain
Matrix	PrincipalComponentAnalysis.dimensionReduction(double threshold)	Reduces the dimensions of the data matrix so only the important dimensions remain
Matrix	PrincipalComponentAnalysis.dimensionReduction(int D)	Reduces the dimensions of the data matrix into D dimensions
Matrix	PrincipalComponentAnalysis.dimensionReduction(Matrix X)	Reduces the dimensions of the data matrix so only the important dimensions remain
Matrix	PrincipalComponentAnalysis.dimensionReduction(Matrix X, double threshhold)	Reduces the dimensions of the data matrix so only the important dimensions remain
Matrix	PrincipalComponentAnalysis.dimensionReduction(Matrix X, int D)	Reduces the dimensions of the data matrix into D dimensions
Matrix	PrincipalComponentAnalysis.dimensionReduction(Vector x)	Reduces the dimensions of the data point into D dimensions
Matrix	PrincipalComponentAnalysis.dimensionReduction(Vector x, double threshold)	Reduces the dimensions of the data point into D dimensions
Matrix	PrincipalComponentAnalysis.dimensionReduction(Vector x, int D)	Reduces the dimensions of the data point into D dimensions
Matrix	PrincipalComponentAnalysis.getCenteredData()

Methods in io.bhagat.ai.unsupervised with parameters of type Matrix

Modifier and Type	Method	Description
static Matrix	PrincipalComponentAnalysis.centerData(Matrix X)	Centers the data from the matrix X at the column mean
static Matrix	PrincipalComponentAnalysis.covarianceMatrix(Matrix X)	creates the covariance matrix for the data
Matrix	PrincipalComponentAnalysis.dimensionReduction(Matrix X)	Reduces the dimensions of the data matrix so only the important dimensions remain
Matrix	PrincipalComponentAnalysis.dimensionReduction(Matrix X, double threshhold)	Reduces the dimensions of the data matrix so only the important dimensions remain
Matrix	PrincipalComponentAnalysis.dimensionReduction(Matrix X, int D)	Reduces the dimensions of the data matrix into D dimensions
void	PrincipalComponentAnalysis.setDataMatrix(Matrix X)	sets the data of the object
void	KMeans.train(Matrix inputs)	trains the model to find the clusters

Constructors in io.bhagat.ai.unsupervised with parameters of type Matrix

Constructor	Description
PrincipalComponentAnalysis(Matrix X)	Creates an object that will perform principal component analysis

Uses of Matrix in io.bhagat.math.linearalgebra

Fields in io.bhagat.math.linearalgebra declared as Matrix

Modifier and Type	Field	Description
private Matrix	Vector.CrossProductMatrix.internalMatrix
private Matrix	Matrix.MatrixIndex.parent	parent matrix

Methods in io.bhagat.math.linearalgebra that return Matrix

Modifier and Type	Method	Description
Matrix	Matrix.add(Matrix m)	performs element wise addition
Matrix	Matrix.clone()	Clones this matrix with a new memory allocation
Matrix	Matrix.cofactor()	Finds the cofactor of the matrix
static Matrix	Matrix.cofactor(Matrix A)	finds the cofactor of a matrix
Matrix	Matrix.divide(double d)	performs the scalar division on the matrix
Matrix	Matrix.divide(Matrix m)	performs element wise division
Matrix	Matrix.MatrixIndex.getParent()
Matrix	Matrix.hadamardProduct(Matrix m)	performs the hadamard product which is element wise multiplication
static Matrix	Matrix.hadamardProduct(Matrix a, Matrix b)	Computes the hadamard product, which is element wise multiplication
static Matrix	Matrix.identityMatrix(int size)	generates an identity matrix with a specified size
static Matrix	Matrix.inner(Matrix a, Matrix b)	performs the inner product on two matrices
Matrix	Matrix.inverse()	Finds the inverse of the matrix
static Matrix	Matrix.inverse(Matrix A)	computes the inverse matrix of the input matrix
Matrix	Matrix.map(Function<java.lang.Double,java.lang.Double> function)	maps a function onto each element in the matrix
Matrix	Matrix.mapWithIndex(Function<Matrix.MatrixIndex,java.lang.Double> function)	maps a function onto each element in the matrix
Matrix	Matrix.multiply(double d)	performs the scalar multiplication on the matrix
Matrix	Matrix.multiply(Matrix m)	performs matrix multiplication
static Matrix	Matrix.multiply(Matrix a, Matrix b)	Performs Matrix multiplication
static Matrix	Matrix.multiply(Matrix A, Vector x)	Performs Matrix multiplication with a matrix and a vector
Matrix	Matrix.multiply(Vector v)	performs matrix multiplication
static Matrix	Matrix.outer(Matrix a, Matrix b)	performs the outer product on two matrices
static Matrix	Vector.outer(Vector a, Vector b)	performs the outer product on two vectors
static Matrix[]	Matrix.QR(Matrix A)	Computes the QR factorization of a matrix
Matrix	Matrix.reducedRowEchelonForm()	converts the matrix to reduced row echelon form
Matrix	Matrix.removeColumn(int index)	Removes a columns in the Matrix
Matrix	Matrix.removeRow(int index)	Removes a row in the Matrix
Matrix	Matrix.rowEchelonForm()	converts the matrix to row echelon form
Matrix	Matrix.setColumn(Matrix m, int j)	sets the column of the matrix to the values from the input matrix
Matrix	Matrix.setColumn(Vector v, int j)	sets the column of the matrix to the values from the vector
Matrix	Matrix.setColumns(Matrix[] ms)	sets all the columns from an array of matrices
Matrix	Matrix.setColumns(Vector[] vs)	sets all the columns from an array of vectors
Matrix	Matrix.setRow(Matrix m, int i)	sets the row of the matrix to the values from the input matrix
Matrix	Matrix.setRow(Vector v, int i)	sets the row of the matrix to the values from the vector
Matrix	Matrix.setRows(Matrix[] ms)	sets all the rows from an array of matrices
Matrix	Matrix.setRows(Vector[] vs)	sets all the rows from an array of vectors
static Matrix[]	Matrix.singularValueDecomposition(Matrix A, int iterations)	Performs singular value decomposition on a matrix
Matrix	Matrix.subtract(Matrix m)	performs element wise subtraction
Matrix	Vector.toMatrix()	converts the vector into a matrix column
Matrix	Vector.toMatrixColumn()	converts the vector into a matrix column
Matrix	Vector.toMatrixRow()	converts the vector into a matrix row
Matrix	Matrix.transpose()	Transposes the matrix
static Matrix	Matrix.transpose(Matrix m)	transposes the rows and columns of a matrix to the columns and rows

Methods in io.bhagat.math.linearalgebra with parameters of type Matrix

Modifier and Type	Method	Description
Matrix	Matrix.add(Matrix m)	performs element wise addition
static Matrix	Matrix.cofactor(Matrix A)	finds the cofactor of a matrix
int	Matrix.compareTo(Matrix m)	compares two matrices by determinant
static java.util.HashMap<java.lang.String,java.lang.Double>	LinearEquationSolver.cramarsRule(Matrix A, Vector b, java.util.ArrayList<java.lang.String> variables)	computes the solutions of the matrix equation Ax=b using cramar's rule
static double	Matrix.determinant(Matrix m)
Matrix	Matrix.divide(Matrix m)	performs element wise division
boolean	Matrix.equals(Matrix m)	checks if two matrices have the same data
static java.util.HashMap<java.lang.String,java.lang.Double>	LinearEquationSolver.gaussMethod(Matrix A, Vector b, java.util.ArrayList<java.lang.String> variables)	computes the solutions of the matrix equation Ax=b using the guassian method
Matrix	Matrix.hadamardProduct(Matrix m)	performs the hadamard product which is element wise multiplication
static Matrix	Matrix.hadamardProduct(Matrix a, Matrix b)	Computes the hadamard product, which is element wise multiplication
static Matrix	Matrix.inner(Matrix a, Matrix b)	performs the inner product on two matrices
static Matrix	Matrix.inverse(Matrix A)	computes the inverse matrix of the input matrix
static java.util.HashMap<java.lang.String,java.lang.Double>	LinearEquationSolver.inverseA(Matrix A, Vector b, java.util.ArrayList<java.lang.String> variables)	computes the solutions of the matrix equation Ax=b using the inverse of A
Matrix	Matrix.multiply(Matrix m)	performs matrix multiplication
static Matrix	Matrix.multiply(Matrix a, Matrix b)	Performs Matrix multiplication
static Matrix	Matrix.multiply(Matrix A, Vector x)	Performs Matrix multiplication with a matrix and a vector
static Matrix	Matrix.outer(Matrix a, Matrix b)	performs the outer product on two matrices
static Matrix[]	Matrix.QR(Matrix A)	Computes the QR factorization of a matrix
Matrix	Matrix.setColumn(Matrix m, int j)	sets the column of the matrix to the values from the input matrix
Matrix	Matrix.setColumns(Matrix[] ms)	sets all the columns from an array of matrices
void	Matrix.MatrixIndex.setParent(Matrix parent)
Matrix	Matrix.setRow(Matrix m, int i)	sets the row of the matrix to the values from the input matrix
Matrix	Matrix.setRows(Matrix[] ms)	sets all the rows from an array of matrices
static Matrix[]	Matrix.singularValueDecomposition(Matrix A, int iterations)	Performs singular value decomposition on a matrix
static Matrix.OuterProductSVD	Matrix.singularValueDecompositionOuter(Matrix A, int iterations)	performs singular value decomposition and returns the output in outer product form
Matrix	Matrix.subtract(Matrix m)	performs element wise subtraction
static Matrix	Matrix.transpose(Matrix m)	transposes the rows and columns of a matrix to the columns and rows

Constructors in io.bhagat.math.linearalgebra with parameters of type Matrix

Constructor	Description
MatrixIndex(int i, int j, double value, Matrix parent)	constructs a new MatrixIndex