SVDRegression |
The SVDRegressionCalculation type exposes the following members.
Name | Description | |
---|---|---|
CalculateParameters(DoubleMatrix, DoubleVector) | Calculates the parameters for the regression using a singular value decomposition of the regression matrix to solve the least squares problem. | |
CalculateParameters(DoubleMatrix, DoubleVector, Boolean) | Calculates the parameters for the regression using a singular value decomposition of the regression matrix to solve the least squares problem. | |
Clone | Creates a deep copy of this regression calculator instance. | |
Factor(DoubleMatrix) | Factors a given matrix so that it may be used to solve least squares problems. | |
Factor(DoubleMatrix, Double) | Factors a given matrix so that it may be used to solve least squares problems. The specified tolerance is used in computing the numerical rank of the matrix. | |
OnSerializing | Checks for soln_ to be null, instantiates if so | |
Solve | Computes the solution to the least squares problem Ax = b. |