[SciPy-User] Alternatives to scipy.optimize
Erik Petigura
eptune at gmail.com
Mon Feb 27 17:31:50 EST 2012
Thanks for all the suggestions! The discussion was very enlightening.
I wound up writing the following wrappers:
https://gist.github.com/1927518
I think Matt has the right idea with lmfit:
> This approach gives a user a lot of flexibility in setting up fitting
> models, and can allow the fitting function to remain relatively static
> and written in terms of the "physical" model. Of course, it is not
> going to be as fast as numexpr for array calculations, but it is more
> general, and faster ufuncs is not the issue at hand.
In the end, I decided to fit my linear parameters (polynomial trend) separately from my box parameters, by just excluding the region with the box.
Erik
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