Hey Shankar,

I respect your decision: it is better for everyone to have less
applications, but well-though out. What you are learning as you go could
help setting up a serious application for next year, hopefully.

Thanks for keeping us updated.

Gael

On Fri, Apr 06, 2012 at 09:41:40PM +0800, Shankar Satish wrote:
> Hello everyone,

> I was supposed to prepare a proposal for bayesian networks in sklearn.
> However as i researched the details further, i realized out that doing a
> python implementation will be harder than i thought, primarily due to the
> need of many customized data structures.

> I have also been following the stanford PGM course
> (www.*pgm*-*class*.org/<http://www.pgm-class.org/>).
> They use Matlab for the assignments, and Matlab provides many useful
> operations on sets that are necessary for operations on bayes nets. I think
> i will have a much clearer idea of how to go about about implementing a
> python version at the end of the course.

> So for these reasons, combined with the fact that i don't want to risk
> putting in a proposal that i might not be able to complete within the
> summer deadline, i have decided to drop the idea of a GSoC proposal for
> bayes nets. I will instead finish the course first and code the sklearn
> version at liesure.

> I would like to thank you all for your comments and feedback, and i would
> especially like to thank Andy for offering to mentor me :).

> regards
> shankar.


-- 
    Gael Varoquaux
    Researcher, INRIA Parietal
    Laboratoire de Neuro-Imagerie Assistee par Ordinateur
    NeuroSpin/CEA Saclay , Bat 145, 91191 Gif-sur-Yvette France
    Phone:  ++ 33-1-69-08-79-68
    http://gael-varoquaux.info

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