"A flag into your hands" as they say, Issam. But do bear in mind that many
of those algorithms that you've budgeted only a week to implement, may well
take a week to *run*, on the kinds of data sets for which they have been
tested in the literature. Tuning hyperparameters of such costly algorithms
takes a lot of compute resources, which become expensive at that scale. In
my humble opinion, I believe your proposal is more appropriate for about 3
PhDs, or perhaps a small dev team over a few years, than a google summer of
code project. If you could get any *one* of those algorithms into a state
worthy of consideration by sklearn it would be a great achievement that has
so far eluded many skilled people. If you don't adjust your proposal to be
more modest, you run a risk of appearing like you haven't really thought
things through.
- James
On Fri, May 3, 2013 at 6:51 AM, Issam <issamo...@gmail.com> wrote:
> Hi Fred,
>
> Thanks, I have followed your suggestions and updated my proposal, which
> can be seen here,
>
>
> https://google-melange.appspot.com/gsoc/proposal/review/google/gsoc2013/issamou/1#
>
> The schedule I devised is an optimistic one, its basically a template of
> how I would progress. For every implementation of a DL algorithm I would
> ensure that its highly usable, bug free and efficient, so the schedule
> could change based on that.
>
> If you have some feedback on the updated version, it would be highly
> appreciated.
>
> Thank you!
> --Issam
>
> On 5/2/2013 8:35 PM, Frédéric Bastien wrote:
> > I just taught that you could consentrate on the DL algo that stack MLP
> > and RBM as there is a PR for each of them.
> >
> > So this would mean helping to finish them. I think it is better to
> > have fewer but finished model then more model.
> >
> > Don't forget my previous disclaimer.
> >
> > Fred
> >
>
>
>
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