On Sun, Nov 20, 2011 at 5:52 AM, Olivier Grisel <[email protected]> wrote: > Also do you have any hint whether this has an impact on the test error > in practice on your data?
I've implemented the naive and lazy implementations of Langford (and made sure that they give the same results) so I will try them on several datasets when I have time. In the dense case, the naive implementation is enough but Tsuruoka's method does more than just buffering updates, so as pointing out by Peter in his "FIXME" in sgd_fast.pyx, Tsuruoka's method may work better even on dense data. Mathieu ------------------------------------------------------------------------------ All the data continuously generated in your IT infrastructure contains a definitive record of customers, application performance, security threats, fraudulent activity, and more. Splunk takes this data and makes sense of it. IT sense. And common sense. http://p.sf.net/sfu/splunk-novd2d _______________________________________________ Scikit-learn-general mailing list [email protected] https://lists.sourceforge.net/lists/listinfo/scikit-learn-general
