An ELM implementation from GSOC 2014 is awaiting review before merge, i.e.
it's very close to inclusion. Perhaps you could contribute comments at
https://github.com/scikit-learn/scikit-learn/pull/3306, but I don't think
another contribution of ELMs would be appropriate.
Also, the best persuasion that you are a good candidate for the job is to
make contributions to the project in advance of application. Thus the
project's core developers get to know you and are assured you understand
the structure of the codebase, the API and the contribution workflow.
On 17 March 2015 at 18:18, Vishwajeet Narwal <vnarwa...@gmail.com> wrote:
> Hi Everyone,
>
> I am a sophomore pursuing my B.Tech in Computer Science and Engineering
> having significant experience in Machine Learning and ANN. I am working on
> a independent(for now) python library for several variants of extreme
> Learning machine, some of which I have already implemented in Matlab and
> python. Variants will include some Deep Learning and semi-supervised
> algorithms also.
>
> Is there any scope of it being part of scikit-learn, and getting this
> proposal accepted in GSoC 2015 ?
> If yes, Then I would prepare a more detailed proposal.
>
>
>
>
> thanks
>
> --
> *Vishwajeet Narwal*
> Event Organiser,IEEE LNMIIT SB
> Core Member, SRIG Research Interest Group
> DIP Mentor, Phoenix Club,LNMIIT
> 2nd Year, Computer Science & Engineering
> The *LNMIIT, Jaipur*
>
>
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conversation now. http://goparallel.sourceforge.net/
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