On Fri, Nov 11, 2011 at 04:11:46PM +0100, Andreas Müller wrote: > > If you find that it does work/is useful on real problem, yes! > I just started working on it. Atm I can get 3% error on MNIST using > sklearn's SGD.
Does sound good. I find that one of the values of the scikit, and in particular its mailing list, is that empirical knowlegde that comes to coding and trying many methods. I am definitely exciting about the random features methods, as well as the Chi2 one of your colleagues. G ------------------------------------------------------------------------------ RSA(R) Conference 2012 Save $700 by Nov 18 Register now http://p.sf.net/sfu/rsa-sfdev2dev1 _______________________________________________ Scikit-learn-general mailing list Scikit-learn-general@lists.sourceforge.net https://lists.sourceforge.net/lists/listinfo/scikit-learn-general
