 | Double |
The DoubleIterativelyReweightedLeastSq type exposes the following members.
Properties| Name | Description | |
|---|---|---|
 | AddIntercept | Gets the add intercept option. If AddIntercept is true then a column of ones was prepended to the input matrix, representing a constant term in the model. |
| ConvergenceFunction | Gets and sets the delegate function used to determine convergence. The delegate should return true when the tolerance is met. |
 | DefaultMaxIterations | Gets and sets the default maximum number of iterations. |
| DefaultTolerance | Gets and sets the default error tolerance. |
| Iterations | Gets the number of iterations performed in the most recent computation. |
| MaxIterations | Gest and set the maximum number of iterations. The algorithm will be terminated when it converges or the maximum number of iterations has been reached, which ever comes first. |
| MaxIterationsMet | Returns true if the minimum just computed stopped because the maximum number of iterations was reached; otherwise, false. |
| Residuals | Gets the residual vector from the most recent computation. |
| Tolerance | Gets and sets the tolerance. The tolerance is given to the ToleranceMet function. If using the default ToleranceMet function, the tolerance should be a relative one since the difference between successive solutions will be a relative one, that is the difference will be divided by the larger of the two solutions producing a value between 0 and 1. |
| ToleranceMet | Returns true if the minimum just computed stopped because the error tolerance was reached; otherwise, false. |
| Weights | Gets the weights used in the final iteration of the most recent computation. |
| WeightsFunction | Gets and sets the weight function. |
See Also