Hi,
Anything concerning the GSOC should pass by the scikit-learn
mailing list.
Thanks for your interest in the subject. If you intend to apply for a GSOC, I
suggest you to read
https://github.com/scikit-learn/scikit-learn/wiki/Google-summer-of-code-%28GSOC%29-2014
and start contributing to scikit-learn.
Right now, three people have shown interest for this topic: Maheshakya (who is
now
applying for a GSOC about LSH), Vamsi Kaushik and you. Several candidates may
apply for the
same subject. However it is likely that if a GSOC is awarded for a given
subject, only the best proposal will
be selected.
Best regards,
Arnaud
On 28 Feb 2014, at 22:33, João <[email protected]> wrote:
> Hi Arnaud,
>
> While browsing the current GSoC projects I saw an interesting one for which
> you are assigned as mentor: "Add scipy.sparse matrix support to the Decision
> Tree".
>
> I am considering applying for this project as I have already faced the
> necessity of sparse matrices in sklearn and the outcome was not totally
> satisfactory.
> Right now I am participating in a kaggle contest
> (http://www.kaggle.com/c/lshtc/) and facing several difficulties even with
> algorithms that already support spase matrices (even simple algorithms such
> as NB). In general I get some memory error and sometimes segfaults.
> I would be happy if I could implement the necessary support for DT (and
> related algorithms such as random forest and extra trees) and, if the time
> constraint allows, improve as much as possible the general support for sparse
> matrices.
>
> With this email, I want to show my interest and ask you if there are already
> any candidates for this place.
>
> Best regards,
> --
> João
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