On Tue, Feb 04, 2014 at 10:32:12AM +0200, Nick Pentreath wrote: > Are some of the algorithms too cutting edge or not cited enough,
Yes > or some other reason? I think that it is good practice to explore new ideas outside of scikit-learn. It usually takes a lot of effort and time to figure out whether an approach will be a lot of benefits or not. Gaƫl > On Tue, Feb 4, 2014 at 10:28 AM, Gael Varoquaux > <gael.varoqu...@normalesup.org> > wrote: > On Tue, Feb 04, 2014 at 09:04:00AM +0100, Alexandre Gramfort wrote: > > > Alex had provided me a link to this gist, > > > https://gist.github.com/fabianp/3097107 . Sorry for sounding dumb, but > is > > > this one of the "strong rules"? > > yes > http://arxiv.org/pdf/1011.2234 > > > And one last question, what about generalized additive models? Would > that be > > > a good GSoC project to do? > > I am +0 on this now. I suggested MARS/EARTH as there is already some > code > > which would facilitate success. > I would personnally be more excited about merging in the fast logistic > regression and SVM from lightning https://github.com/mblondel/lightning. > G > > ------------------------------------------------------------------------------ > Managing the Performance of Cloud-Based Applications > Take advantage of what the Cloud has to offer - Avoid Common Pitfalls. > Read the Whitepaper. > http://pubads.g.doubleclick.net/gampad/clk?id=121051231&iu=/4140/ > ostg.clktrk > _______________________________________________ > Scikit-learn-general mailing list > Scikit-learn-general@lists.sourceforge.net > https://lists.sourceforge.net/lists/listinfo/scikit-learn-general > ------------------------------------------------------------------------------ > Managing the Performance of Cloud-Based Applications > Take advantage of what the Cloud has to offer - Avoid Common Pitfalls. > Read the Whitepaper. > http://pubads.g.doubleclick.net/gampad/clk?id=121051231&iu=/4140/ostg.clktrk > _______________________________________________ > Scikit-learn-general mailing list > Scikit-learn-general@lists.sourceforge.net > https://lists.sourceforge.net/lists/listinfo/scikit-learn-general -- Gael Varoquaux Researcher, INRIA Parietal Laboratoire de Neuro-Imagerie Assistee par Ordinateur NeuroSpin/CEA Saclay , Bat 145, 91191 Gif-sur-Yvette France Phone: ++ 33-1-69-08-79-68 http://gael-varoquaux.info http://twitter.com/GaelVaroquaux ------------------------------------------------------------------------------ Managing the Performance of Cloud-Based Applications Take advantage of what the Cloud has to offer - Avoid Common Pitfalls. Read the Whitepaper. http://pubads.g.doubleclick.net/gampad/clk?id=121051231&iu=/4140/ostg.clktrk _______________________________________________ Scikit-learn-general mailing list Scikit-learn-general@lists.sourceforge.net https://lists.sourceforge.net/lists/listinfo/scikit-learn-general