Thanks for your precious feedbacks.
I am not considering to implement any fancy public APIs at least not before
finishing the core part with the existing APIs.
Any mentor ideas for this idea?
On Mon, Apr 15, 2013 at 4:45 PM, Olivier Grisel <[email protected]>wrote:
> 2013/4/15 Andreas Mueller <[email protected]>:
> > Hi Şükrü.
> > I think this is an awesome idea.
> > Finding a good mentor might be a problem, though. Any takes?
> > Also, I wouldn't set the goals to high. Having a good api that works for
> > many applications
> > and solid and efficient implementation of one or two core techniques
> would
> > go a long way,
> > and imho would benefit the project more than adding many but doing them
> in a
> > rush.
>
> Also I would rather avoid adding fancy new application specific public
> API just for the recsys use case. Especially before the 1.0 release.
> If we can stick to the existing public fit / transform / predict API
> (using scipy.sparse matrices), then fine. Otherwise that might cause
> trouble.
>
>
> --
> Olivier
> http://twitter.com/ogrisel - http://github.com/ogrisel
>
>
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Şükrü BEZEN
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Precog is a next-generation analytics platform capable of advanced
analytics on semi-structured data. The platform includes APIs for building
apps and a phenomenal toolset for data science. Developers can use
our toolset for easy data analysis & visualization. Get a free account!
http://www2.precog.com/precogplatform/slashdotnewsletter
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