Hi there,
Thanks for reaching out.
On Wed, Jan 27, 2021, at 04:24, Swan BOSC wrote:
> Namely, the expfit function, as presented here
> <https://octave.sourceforge.io/optim/function/expfit.html>
> (https://octave.sourceforge.io/optim/function/expfit.html) doesn't seem to
> exist. I'm currently building a replacement for it in my words (keywords I
> mean ;) ) but maybe a better solution would be to contribute some code into
> NumPy.
>
> AFAIK, the preferred way to fit a Polynomial nowadays is to call
> `numpy.polynomial.polynomial.``Polynomial.`
> Do you think that a class for `Exponential` based on that one would be an
> interesting addition to NumPy ?
I think Prony's method would probably be a better fit for `scipy.signal`.
Please be mindful not to translate this from existing GPL code, but to
implement it afresh.
Best regards,
Stéfan
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