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,
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