Hi!
I am trying to implement a recent methods of non-negative matrix
factorization for scikit-learn.
To date, I adapted the existing scikit-learn functions for NNF but would
may be need help to make it pull-able since I am rather new in Python
development.
Here is the iPython notebook showing where I got with related references:
http://nbviewer.ipython.org/github/deep-introspection/stratipy/blob/master/Stratipy.ipynb
Bests,
Guillaume
--
Guillaume Dumas, M.Eng., M.Sc., Ph.D.
Research Fellow | Human Genetics and Cognitive Functions Lab.
<http://www.ura2182.cnrs-bellevue.fr/ghfc/> | Institut Pasteur
<http://www.pasteur.fr>
Associate Member | Center for Complex Systems and Brain Sciences
<http://www.ccs.fau.edu/hbbl/> | F.A.U. <http://www.fau.edu>
Co-Founder | HackYourPhD.org <http://hackyourphd.org/> | "Science and
Knowledge as common goods!"
Phone: +33 1 40 61 36 54 <0033140613654> | Mobile: +33 6 28 25 56 65
<0033628255665> | Time zone: ECT (UTC+1)
<http://www.thetimezoneconverter.com>
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http://extrospection.eu | Skype: *deep-introspection*
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