Hi Gael,
Thanks for considering mentoring me as part of GSoC.
>
> - Better strategy to choose coordinates in the coordinate descent.
> Chances are the simply randomizing the choice would be better than the
> linear traversal that we are doing. My personnal bias would be to
> benchmark the performances on "wide data": many features, not many
> samples, as in bioinformatics; and I would be particularly interested
> in neuroimaging data.
>
> Would you be able to tell me which part of the code-base I should play
with for this project? (I'm assuming it is the cython code in
coordinate_descent.pyx) Some references to literature would definitely help.
> - Strong rules
>
Alex had provided me a link to this gist,
https://gist.github.com/fabianp/3097107 . Sorry for sounding dumb, but is
this one of the "strong rules"?
And one last question, what about generalized additive models? Would that
be a good GSoC project to do?
Thanks.
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