Hey Alex, > a bonus you could add is logistic regression using L1 + L2. as well as > the support of ElasticNet (also L1 + L2) using the Lars algorithm. I'm somewhat lost, can you be more specific? Are you referring to strong rule support?
best, Immanuel > The benefit you could explicit is that a cython implementation would > avoid data copies (as our liblinear bindings makes copies), avoid the > penalization of the intercept and facilitate warm restart which would > also to lead to an efficient LogisticRegressionCV class. > > Alex > > On Thu, Apr 5, 2012 at 12:19 AM, Immanuel B <[email protected]> wrote: >> Hello all, >> >> here finally is the draft for my proposal. >> https://docs.google.com/document/d/1BG7Qmf3yepwkSCngRtJHQjWg2-tX-ltWxbV-goxXudA/edit >> Any remarks are greatly appreciated. >> >> best, >> Immanuel >> >> ------------------------------------------------------------------------------ >> Better than sec? Nothing is better than sec when it comes to >> monitoring Big Data applications. Try Boundary one-second >> resolution app monitoring today. Free. >> http://p.sf.net/sfu/Boundary-dev2dev >> _______________________________________________ >> Scikit-learn-general mailing list >> [email protected] >> https://lists.sourceforge.net/lists/listinfo/scikit-learn-general > > ------------------------------------------------------------------------------ > Better than sec? Nothing is better than sec when it comes to > monitoring Big Data applications. Try Boundary one-second > resolution app monitoring today. Free. > http://p.sf.net/sfu/Boundary-dev2dev > _______________________________________________ > Scikit-learn-general mailing list > [email protected] > https://lists.sourceforge.net/lists/listinfo/scikit-learn-general ------------------------------------------------------------------------------ For Developers, A Lot Can Happen In A Second. Boundary is the first to Know...and Tell You. Monitor Your Applications in Ultra-Fine Resolution. Try it FREE! http://p.sf.net/sfu/Boundary-d2dvs2 _______________________________________________ Scikit-learn-general mailing list [email protected] https://lists.sourceforge.net/lists/listinfo/scikit-learn-general
