Double |
The DoubleIterativelyReweightedLeastSq type exposes the following members.
Name | Description | |
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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. |