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