Uses of Class
weka.core.Matrix

Packages that use Matrix

weka.classifiers
weka.classifiers.evaluation
weka.core
weka.estimators

Uses of Matrix in weka.classifiers

Subclasses of Matrix in weka.classifiers

class

CostMatrix Class for storing and manipulating a misclassification cost matrix.

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) Returns the sum of this matrix with another.
Matrix	Matrix.transpose() Returns the transpose of a matrix.
Matrix	Matrix.multiply(Matrix b) Returns the multiplication of two matrices
Matrix	Matrix.getL() Returns the L part of the matrix.
Matrix	Matrix.getU() Returns the U part of the matrix.

Methods in weka.core with parameters of type Matrix

Matrix	Matrix.add(Matrix other) Returns the sum of this matrix with another.
Matrix	Matrix.multiply(Matrix b) Returns the multiplication of two matrices
double[]	Matrix.regression(Matrix y, double ridge) Performs a (ridged) linear regression.
double[]	Matrix.regression(Matrix y, double[] w, double ridge) Performs a weighted (ridged) linear regression.
boolean	Matrix.testEigen(Matrix V, double[] d, boolean verbose) Test eigenvectors and eigenvalues.
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
protected void	Optimization.updateCholeskyFactor(Matrix L, double[] D, double[] v, double coeff, boolean[] isFixed) One rank update of the Cholesky factorization of B matrix in BFGS updates, i.e.

Uses of Matrix in weka.estimators

Fields in weka.estimators declared as Matrix

private Matrix	MahalanobisEstimator.m_CovarianceInverse The inverse of the covariance matrix
private Matrix	NNConditionalEstimator.m_Covariance Current covariance matrix

Constructors in weka.estimators with parameters of type Matrix

MahalanobisEstimator(Matrix covariance, double constDelta, double valueMean)
Constructor