On Fri, Jul 12, 2013 at 12:11:45AM +0900, Mathieu Blondel wrote: > * L2-logistic with integrated cross-validation (I have a prototype that > is _fast_), pair programming with Jaques Grobler
> Sounds interesting. What's the general approach? scipy.optimize based solver + > warm start? Absolutely. However, to get optimal performance, I had to modify the Newton method of scipy.optimize. All this is in the following branch: https://github.com/GaelVaroquaux/scikit-learn/tree/logistic_cv Things are "almost ready"... :$ G ------------------------------------------------------------------------------ See everything from the browser to the database with AppDynamics Get end-to-end visibility with application monitoring from AppDynamics Isolate bottlenecks and diagnose root cause in seconds. Start your free trial of AppDynamics Pro today! http://pubads.g.doubleclick.net/gampad/clk?id=48808831&iu=/4140/ostg.clktrk _______________________________________________ Scikit-learn-general mailing list Scikit-learn-general@lists.sourceforge.net https://lists.sourceforge.net/lists/listinfo/scikit-learn-general
