Hi Roberto,
In 0.17, we added a coordinate descent solver for NMF, which is more
efficient than previous projected gradient solver.
About performances for both dense and sparse data, I link you to this
pull-request for a better NMF benchmark
<https://github.com/scikit-learn/scikit-learn/pull/5779>.
About multithreading, the new solver releases the GIL (through cython code)
during a large part of the time.
The other main computational cost goes with numpy dot product, which
depends on your BLAS configuration.
Here is also a quick example for benchmarking multithreading
<https://gist.github.com/TomDLT/c1d560a510a41dd80ab6>:
Best,
Tom
2016-03-11 12:26 GMT+01:00 Roberto Pagliari <roberto.pagli...@asos.com>:
> Are there results about performance and scalability of scikit-learn
> implementation of NMF?
>
> According to this thread on SO
>
>
> http://stackoverflow.com/questions/18575846/non-negative-matrix-factorization-of-sparse-input
>
> There are scalability issue. I would be interested to know the biggest
> dataset NMF can handle and what the memory footprint is.
>
> Thank you,
>
>
>
> ------------------------------------------------------------------------------
> Transform Data into Opportunity.
> Accelerate data analysis in your applications with
> Intel Data Analytics Acceleration Library.
> Click to learn more.
> http://pubads.g.doubleclick.net/gampad/clk?id=278785111&iu=/4140
> _______________________________________________
> Scikit-learn-general mailing list
> Scikit-learn-general@lists.sourceforge.net
> https://lists.sourceforge.net/lists/listinfo/scikit-learn-general
>
>
------------------------------------------------------------------------------
Transform Data into Opportunity.
Accelerate data analysis in your applications with
Intel Data Analytics Acceleration Library.
Click to learn more.
http://pubads.g.doubleclick.net/gampad/clk?id=278785231&iu=/4140
_______________________________________________
Scikit-learn-general mailing list
Scikit-learn-general@lists.sourceforge.net
https://lists.sourceforge.net/lists/listinfo/scikit-learn-general
