FYI I've deleted this page -
https://github.com/scikit-learn/scikit-learn/wiki/A-list-of-topics-for-the-GSOC-2015
in favor of the recently updated
https://github.com/scikit-learn/scikit-learn/wiki/Google-summer-of-code-%28GSOC%29-2015
On Wed, Mar 4, 2015 at 5:48 AM, Gael Varoquaux
<gael.varoqu...@normalesup.org> wrote:
> Why don't you edit the "ideas" to start hashing a project there. Your
> proposal sounds serious enough to get a good start.
>
> Cheers,
>
> Gaël
>
> On Tue, Mar 03, 2015 at 11:34:27AM -0500, Andy wrote:
>
>> On 03/03/2015 11:31 AM, Artem wrote:
>
>> There was a discussion on metric learning a while ago, and several people
>> expressed interest to see (and contribute to) it in sklearn. But, it
>> looks
>> like that attempt didn't get anywhere.
>
>> What about a project to add several metric learning algorithms to be used
>> with KNN (NCA, ITML, LMNN, etc). Another application is data
>> transformation: most of the methods learn some PSD matrix A, so we can
>> transform the data by multiplying it by A^{-1/2}.
>
>> The starting point could be an ICML tutorial by Brian Kulis with a field
>> overview.
>
>> I agree that this might be interesting :)
>
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>
> --
> Gael Varoquaux
> Researcher, INRIA Parietal
> Laboratoire de Neuro-Imagerie Assistee par Ordinateur
> NeuroSpin/CEA Saclay , Bat 145, 91191 Gif-sur-Yvette France
> Phone: ++ 33-1-69-08-79-68
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>
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Dive into the World of Parallel Programming The Go Parallel Website, sponsored
by Intel and developed in partnership with Slashdot Media, is your hub for all
things parallel software development, from weekly thought leadership blogs to
news, videos, case studies, tutorials and more. Take a look and join the
conversation now. http://goparallel.sourceforge.net/
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