Hi All, Thanks a lot for your responses.
Gaël : Certainly not looking to break any openness or trust, that's why I
asked :-) After a bit more thought on the font issue, I think the danger of
implying my package is reviewed/endorsed by scikit-learn is too great with
the graphic similarities that you mentioned and may very well lead to
confusion (which is a potential headache no one needs). So I'll err on the
side of caution and take that part of the design in another direction. The
learn suffix should give enough of a hint that the package is designed to
work with scikit-learn without misleading anyone that it is a part of it,
given that there are several other packages that have adopted this
convention already.
As for code quality, etc. I'm trying to keep fairly strict on myself for
documentation, docstrings, PEP8, etc etc. I took a hatchet to the
scikit-learn utilities as they stood in 0.16.0 in order to make the common
estimator checks run within my own repo, and all tests pass on a variety of
Python versions. Also very happy to have tools like travis, coveralls, and
landscape to leverage in the absence of watchful eyes.
Yes, GP can mean a few different things, but 'Genetic Programming' are the
first words in the description so I doubt anyone will be surprised. :-)
Andy, I'll put in a PR for the related projects page once I'm at a PyPI
release. Shouldn't be too far off now.
Thanks again guys.
On Tue, Apr 28, 2015 at 12:40 PM, Andreas Mueller <t3k...@gmail.com> wrote:
>
>
> On 04/28/2015 09:49 AM, Olivier Grisel wrote:
> > Note that Trevor already tries to automate checks for semantic
> > compatibility by leveraging
> > Andy's estimator checks utility when possible:
> >
> >
> https://github.com/trevorstephens/gplearn/blob/master/gplearn/tests/test_common.py
> >
> > This can probably be improved (on both sides) but it's a great start!
> See https://github.com/scikit-learn/scikit-learn/pull/4550 ;)
> >
> > As for the name and branding I have personally no opposition. The
> > description of the project is explicit enough:
> >
> > "Genetic Programming in Python, with a scikit-learn inspired API"
> >
> > However I would also parse "gplearn" as "Gaussian Process Learn" but I
> > like inspiration to suggest a better name.
> >
> +1 on both accounts.
>
> Also it should probably be listed here:
> http://scikit-learn.org/dev/related_projects.html
>
>
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