I would strongly recommend to start with something easier, like issues
labelled 'easy'. Starting with such a big project is most likely going to
lead to you approaching the project in a way that is not well adapted to
scikit-learn, and thus code that does not get merged.

Cheers,

Gaƫl

On Thu, Sep 10, 2015 at 06:58:20AM +0530, Rohit Shinde wrote:
> Hello everyone,

> I have built scikit-learn and I am ready to start coding. Can I get some
> pointers on how I could start contributing to the projects I mentioned in the
> earlier mail?

> Thanks,
> Rohit.

> On Mon, Sep 7, 2015 at 11:50 AM, Rohit Shinde <rohit.shinde12...@gmail.com>
> wrote:

>     Hi Jacob,

>     I am interested in Global optimization based hyperparameter optimization
>     and Generalised Additive Models. However, I don't know what kind of
>     background would be needed and if mine would be sufficient for it. I would
>     like to know the prerequisites for it.

>     On Sun, Sep 6, 2015 at 9:58 PM, Jacob Schreiber <jmschreibe...@gmail.com>
>     wrote:

>         Hi Rohit

>         I'm glad you want to contribute to scikit-learn! Which idea were you
>         interested in working on? The metric learning and GMM code is 
> currently
>         being worked on by GSOC students AFAIK.

>         Jacob

>         On Sun, Sep 6, 2015 at 8:18 AM, Rohit Shinde <
>         rohit.shinde12...@gmail.com> wrote:

>             Hello everyone,

>             I am Rohit. I am interested in contributing toward scikit-learn. I
>             am quite proficient in Python, Java, C++ and scheme. I have taken
>             undergrad courses in Machine Learning and data mining. I was also
>             part of this year's GSoC under The Opencog Foundation.

>             I was looking at the ideas list for GSoC and I would be interested
>             in working on one of those ideas. So, could I get some guidance?

>             Thank you,
>             Rohit Shinde.

>             
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-- 
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