With respect to Gaussian processes, there are some good packages in python already (https://github.com/SheffieldML/GPy, https://github.com/dfm/george, probably others). In particular, GPy does not require any other dependencies over and above those already required by sklearn.
Maybe a reasonable project would be to wrap a subset of GPy with a sklearn compliant interface? I'm not sure how much work this would be, though. L. On Thu, Feb 5, 2015 at 6:52 AM, Andy <t3k...@gmail.com> wrote: > Hi Christof. > Good question. I don't think we came up with a list yet. > I just looked at the list from last year, and what seems most relevant > still is GMMs, > and possibly the coordinate descent solvers (Alex maybe you can say what > is left there or > if with the SAG we are happy now?) > There is still some deep learning stuff that we might want to include, > but we need to merge > the MLP first. > I think it would also be interesting to rework the Gaussian processes, > but that might be a bit to ambitious for a GSOC project. > > If anyone has any other ideas, maybe list them in this thread. Also, > possible mentors, please speak up :) > > Cheers, > Andreas > > On 02/04/2015 11:14 PM, Christof Angermueller wrote: >> Hi all, >> >> is there already a list of potential Google Summer of Code (GSoC) 2015 >> projects? >> Knowing about potential projects would allow me start working on certain >> ideas early. >> >> Cheers, >> Christof >> > > ------------------------------------------------------------------------------ > 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/ > _______________________________________________ > Scikit-learn-general mailing list > Scikit-learn-general@lists.sourceforge.net > https://lists.sourceforge.net/lists/listinfo/scikit-learn-general ------------------------------------------------------------------------------ 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/ _______________________________________________ Scikit-learn-general mailing list Scikit-learn-general@lists.sourceforge.net https://lists.sourceforge.net/lists/listinfo/scikit-learn-general
