I would be interested in helping for mentoring or whatever is needed regarding the project. On 30 January 2017 at 21:25, Nelson Liu <nfliu@uw.edu> wrote:

Hey all, I'd be willing to help out with mentoring a project as well, hopefully in tandem with someone else.

Nelson Liu

On Mon, Jan 30, 2017 at 10:10 AM Jacob Schreiber <jmschreiber91@gmail.com> wrote:

...

I discussed this briefly with Gael and Joel. The consensus was that unless we already know excellent students who will fit well that it is unlikely we will participate in GSoC. That being said, if someone (other than me) is willing to step up and organize it, I'd volunteer to be a mentor again. I think an important project would be adding multithreading to individual tree building so we can do gradient boosting in parallel.

On Mon, Jan 30, 2017 at 5:38 AM, Andreas Mueller <t3kcit@gmail.com> wrote:

Hey all. It's that time of the year again. Are we planning on participating in GSOC? If so, we need mentors and projects. It's unlikely that I'll have time to help with either in any substantial way. If we want to participate, I think we should try to be a bit more organized than last year ;)

Andy

Sent from phone. Please excuse spelling and brevity.

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-- Guillaume Lemaitre INRIA Saclay - Ile-de-France Equipe PARIETAL guillaume.lemaitre@inria.f <guillaume.lemaitre@inria.fr>r --- https://glemaitre.github.io/

Personally I don't feel like mentoring this year. I would really like to focus my scikit-learn time on finishing the joblib process refactoring with Thomas Moreau and the binning / thread-based parallelization of boosted trees with Guillaume and Raghav. -- Olivier

I am sure there are many people disappointed by the idea that we may not run with GSoC this year. On the one hand, we could – as Gaël has suggested – really benefit from having more people involved in the maintenance of scikit-learn, and GSoC provides a potential pathway for newcomers. On the other hand, we have such an enormous quantity of PRs to review and decide upon already, that code is far from the main thing we are lacking in contribution; and, with notable exceptions, the active / long-term core devs have overwhelmingly not come in through the GSoC pathway. I also think we are at a stage of maturity where it is becoming relatively hard to design projects that are clearly beneficial, not going to create future maintenance burden, and can be performed by someone relatively new to developing scikit-learn. But as others have suggested on this list, there may be projects within the scikit-learn ecosystem that *do* need code and can clearly defined projects. I think if there were a clearly scoped project and a promising student, we would find mentor availability. But the core devs have not had capacity to design a project within the above constraints, and no student has come forward with a clear proposition. Potential students must recognise that GSoC funding assumes, essentially, in-kind contributions from mentors in time. Since we're mostly relying here on volunteers, how readily we can afford that contribution needs to be rationalised. On 19 February 2017 at 12:45, Jacob Schreiber <jmschreiber91@gmail.com> wrote:

I think we have de facto decided not to participate by not having someone step up by now and organize it like Raghav did last year.

On Sat, Feb 18, 2017 at 10:54 AM, Olivier Grisel <olivier.grisel@ensta.org

...

wrote:

...

Personally I don't feel like mentoring this year. I would really like to focus my scikit-learn time on finishing the joblib process refactoring with Thomas Moreau and the binning / thread-based parallelization of boosted trees with Guillaume and Raghav.

-- Olivier _______________________________________________ scikit-learn mailing list scikit-learn@python.org https://mail.python.org/mailman/listinfo/scikit-learn

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Hey guys, Maybe you guys could redirect some of them to related scikit-learn projects? For example, my project intends to interface scikit-learn: - https://github.com/jeff1evesque/machine-learning Even though it's a lot of JavaScript (web-interface), and puppet scripts for automating the build, I will need some help getting the python backend logic to correctly snap in to scikit-learns utilities. If some of you want to assist me mentor (I know some of you wanted to mentor), since you guys are scikit-learn developers, that would be hugely helpful. Even though individuals may not be creating new features (new algorithms, or optimizing) perse, they could assist me interfacing existing scikit-learn utilities, by writing corresponding Python logic which would properly delegate datasets into corresponding databases, and such. This would largely make sklearn utilities available to a web-interface, as well as a server API - at least my intention. My python syntax is the prettiest, so I welcome anyone to help improve it - since, this is largely a home pet project, and sometimes I only have 1-2 hours a day to work on this project. Thank you, Jeff Levesque https://github.com/jeff1evesque

On Feb 21, 2017, at 9:24 AM, Andreas Mueller <t3kcit@gmail.com> wrote:

I agree, I just wanted to make sure we are on the same page, and that we can tell people "no we're not gonna do GSoC" instead of "err I don't know what's happening, maybe not?" _______________________________________________ scikit-learn mailing list scikit-learn@python.org https://mail.python.org/mailman/listinfo/scikit-learn

Thank you, Jeff Levesque https://github.com/jeff1evesque

On Feb 21, 2017, at 9:24 AM, Andreas Mueller <t3kcit@gmail.com> wrote:

I agree, I just wanted to make sure we are on the same page, and that we can tell people "no we're not gonna do GSoC" instead of "err I don't know what's happening, maybe not?" _______________________________________________ scikit-learn mailing list scikit-learn@python.org https://mail.python.org/mailman/listinfo/scikit-learn