2013/7/11 Gael Varoquaux <gael.varoqu...@normalesup.org>: > 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"... :$
You can get to the compare view by clicking on the "compare" link without issuing a pull request: https://github.com/GaelVaroquaux/scikit-learn/compare/logistic_cv But I think you should issue a WIP PR early now that you have publicly mentioned this branch :) -- Olivier http://twitter.com/ogrisel - http://github.com/ogrisel ------------------------------------------------------------------------------ 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
