[SciPy-Dev] GSoC'18 participation?

[Jordi Montes]

Hi all,

Last year I started implementing some methods for Randomized Numerical
Linear Algebra (RNLA) in scipy.
By now it is only the CountMin Sketch (clarkson_woodruff_transformation)
for reducing the dimensionality of a vector space to an embedded space.

I think that it would be interesting to add to scipy other methods for
subspace embedding (like the Johnson-Lindenstrauss) and build some
algorithms on top of it for things like least squeres or low rank
approximation.

Would some other people be interesting in this?


PS: I have a project called RandNLA <https://github.com/jomsdev/randNLA>
where I implemented some of the methods of RNLA. The idea is to implement
only the most important methods of RNLA in scipy and have this other
library for experimenting with new methods and APIs. That will let us not
overloading scipy with features if people are not interested in them and
focus on the ones that really brings value to the community.

Thanks,

Jordi.

On 10 January 2018 at 10:42, Ralf Gommers <ralf.gommers at gmail.com> wrote:

> Hi all,
>
> The GSoC schedule is a bit earlier than normal this year. The PSF is
> asking for ideas pages to be up and in decent shape by Jan 19th. So we'll
> need to come up with some content quick if we want to participate.
>
> Who is interested in mentoring this year?
>
> I'm happy to do the admin again, but probably won't have time to mentor.
>
> Cheers,
> Ralf
>
>
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