[SciPy-Dev] scikits contribution?
Thu Jul 8 07:24:25 CDT 2010
On Wed, Jul 7, 2010 at 4:42 PM, Jonathan Stickel <email@example.com> wrote:
> Some time ago, I offered to contribute (on the scipy-user list) some
> code to smooth 1-D data by regularization:
> Someone suggested that scikits might be the right place:
> So I am finally looking into scikits, and I am not sure how to proceed.
> My code consists of several functions in a single .py file. It seems
> overkill to create a new scikit for just one file, but I do not see an
> existing scikit that matches. 'Optimization' would be the closest; in
> core scipy I would put it in 'interpolate'.
> So, what is the minimum that I need to do to create a scikit and upload
> my code? Any suggestions for the name of the scikit (interpolate,
The easiest to get started is to copy the setup structure from another scikit.
I think the template scikit in scikits svn is a bit out of date, the
last time I looked.
If you think your model could form the basis for enhancing the
smoother or noisy interpolation category in scipy, then a scikits
would be the best way, as we discussed.
If you want to add it to an existing scikits, then statsmodels would
be a possibility.
Although statsmodels is more oriented towards multivariate approaches,
I think a smoother category, together with some non-parametric
methods, e.g. the existing kernel regression, would be an appropriate
fit. There is a need for smoothers in gam, Generalized Additive
Models, but that one is not cleaned up yet.
And I think there will be more applications where it would be useful
to share the cross-validation code as far as possible.
> Please know that I am just starting to learn python, being a convert
> from matlab/octave. Although I have become fairly proficient using
> numpy/scipy in ipython, I do not know much about python internals,
> setuptools, etc.
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