![]() | 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. |