[Numpy-discussion] On the use of adding an expfit class in or next to the polynomial module
swan.bosc at pm.me
Sat Jan 30 19:03:31 EST 2021
Thanks for the advice and for the redirection to scipy !
I will create an implementation of it there
‐‐‐‐‐‐‐ Original Message ‐‐‐‐‐‐‐
On Friday, January 29th, 2021 at 07:49, Stefan van der Walt <stefanv at berkeley.edu> wrote:
> 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,
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