2013/11/7, Vlad Niculae <zephy...@gmail.com>: > Also I found this pretty big difference in timing when computing > elementwise norms and products.
This is a known problem with np.linalg.norm, and so is the memory consumption. You should use sklearn.utils.extmath.norm for the Frobenius norm. Also note that the current NMF code has a trick to compute ||X - WH|| without evaluating WH. In the topic modeling use case, WH can take many orders of magnitude more memory than X. ------------------------------------------------------------------------------ November Webinars for C, C++, Fortran Developers Accelerate application performance with scalable programming models. Explore techniques for threading, error checking, porting, and tuning. Get the most from the latest Intel processors and coprocessors. See abstracts and register http://pubads.g.doubleclick.net/gampad/clk?id=60136231&iu=/4140/ostg.clktrk _______________________________________________ Scikit-learn-general mailing list Scikit-learn-general@lists.sourceforge.net https://lists.sourceforge.net/lists/listinfo/scikit-learn-general
