So I've finally got something to show. Gael, you were entirely correct
about it being a mouthful. I've been developing it as a separate package
for simplicity, but will be integrating with scikit-learn as soon as I get
the time. Here is what I've got so far in case anyone wants to take a look:
https://github.com/jcrudy/py-earth
I would be very grateful for feedback if anyone has any, and especially for
bug reports. I'm giving a talk about MARS at PyData (perhaps I'll see some
of you there:). Preparing for the talk will take up a lot of time, so my
pull request might have to wait until after.
On Fri, Jan 11, 2013 at 9:11 AM, Gael Varoquaux <
gael.varoqu...@normalesup.org> wrote:
> On Thu, Jan 10, 2013 at 09:21:01AM -0800, Jason Rudy wrote:
> > I'm working on an implementation of MARS [1] that I'd like to share, and
> it
> > seems like sklearn would be a good place for it. The MARS algorithm is
> > currently available as part of the R package "earth" and is one of the
> only
> > reasons I still use R. Would sklearn be a good place for such an
> algorithm?
>
> I personnally would love to see MARS in the scikit. I think that it is
> probably a mouthful to code it well :).
>
> Thanks a lot for offering
>
> G
>
>
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