Uses of Class
weka.core.Matrix

Packages that use Matrix

weka.classifiers
weka.classifiers.evaluation
weka.core

Uses of Matrix in weka.classifiers

Methods in weka.classifiers that return Matrix

static Matrix

CostMatrix.parseMatlab(String matlab) creates a matrix from the given Matlab string.

Uses of Matrix in weka.classifiers.evaluation

Subclasses of Matrix in weka.classifiers.evaluation

class

ConfusionMatrix Cells of this matrix correspond to counts of the number (or weight) of predictions for each actual value / predicted value combination.

Uses of Matrix in weka.core

Methods in weka.core that return Matrix

Matrix	Matrix.add(Matrix other) Deprecated. Returns the sum of this matrix with another.
Matrix	Matrix.getL() Deprecated. Returns the L part of the matrix.
Matrix	Matrix.getU() Deprecated. Returns the U part of the matrix.
Matrix	Matrix.multiply(Matrix b) Deprecated. Returns the multiplication of two matrices
static Matrix	Matrix.parseMatlab(String matlab) Deprecated. creates a matrix from the given Matlab string.
Matrix	Matrix.transpose() Deprecated. Returns the transpose of a matrix.

Methods in weka.core with parameters of type Matrix

Matrix	Matrix.add(Matrix other) Deprecated. Returns the sum of this matrix with another.
Matrix	Matrix.multiply(Matrix b) Deprecated. Returns the multiplication of two matrices
double[]	Matrix.regression(Matrix y, double ridge) Deprecated. Performs a (ridged) linear regression.
double[]	Matrix.regression(Matrix y, double[] w, double ridge) Deprecated. Performs a weighted (ridged) linear regression.
static double[]	Optimization.solveTriangle(Matrix t, double[] b, boolean isLower, boolean[] isZero) Solve the linear equation of TX=B where T is a triangle matrix It can be solved using back/forward substitution, with O(N^2) complexity