Thanks so much for spending some time on this. I'll give it a try first
thing tomorrow and report back. Thanks Lars!
-Will
On Fri, Aug 30, 2013 at 1:32 AM, Lars Buitinck <l.j.buiti...@uva.nl> wrote:
> 2013/8/30 Will Buckner <wbuck...@beatsmusic.com>:
> > Damn, hmm. This just seems so so heavy to calculate reconstruction_err,
> > which isn't even used inside the algorithm. I don't even use it in the
> > pipeline. My current best idea is just to subclass ProjectedGradientNMF()
> > and overload fit_transform(), not computing reconstruction_err at all....
>
> Try upgrading to the latest (Git) version of scikit-learn; I just
> pushed a patch that takes some 20-30% off the running time of NMF, and
> should decrease the memory usage too.
>
> --
> Lars Buitinck
> Scientific programmer, ILPS
> University of Amsterdam
>
>
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