Tim Hochberg tim.hochberg at ieee.org
Fri Oct 13 15:45:50 CDT 2006

Greg Willden wrote:
> On 10/13/06, *A. M. Archibald* <peridot.faceted at gmail.com 
> <mailto:peridot.faceted at gmail.com>> wrote:
>     At this point you might as well use a polynomial class that can
>     accomodate a variety of bases for the space of polynomials - X^n,
>     (X-a)^n, orthogonal polynomials (translated and scaled as needed),
>     what have you.
>     I think I vote for polyfit that is no more clever than it has to be
>     but which warns the user when the fit is bad.
> What about including multiple algorithms each returning a figure of fit?
> Then I could try two or three different algorithms and then use the 
> one that works best for my data.
A simple, "stupid" curve fitting algorithm may be appropriate for numpy, 
but once your getting into multiple algorithms it's time to move it to a 
package in scipy IMO (and it would be good to find someone who cares, 
and knows, about curve fitting to adopt it).


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