2011/10/7 Gael Varoquaux <[email protected]>: > On Fri, Oct 07, 2011 at 08:44:53AM +0000, [email protected] wrote: >> I just wanted to say that we have similar problems in our lab >> which we "solved" by buying more RAM. >> It would be great to have single precision implementations >> of both SGDClassifier and LinearSVC in scikits.learn. > > SGDClassifier is probably feasible, as it our code, but LinearSVC would > require heavy modification of upstream code. > > Technically, I am thinking of a light templating system, a bit like numpy > as, to generate Cython code, that get compiled. OK, it may seem brutal > and ugly, :).
Ok we agree :) If someone would like to take a shot at it, please feel free to send a pull-request. -- Olivier http://twitter.com/ogrisel - http://github.com/ogrisel ------------------------------------------------------------------------------ All of the data generated in your IT infrastructure is seriously valuable. Why? It contains a definitive record of 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-d2dcopy2 _______________________________________________ Scikit-learn-general mailing list [email protected] https://lists.sourceforge.net/lists/listinfo/scikit-learn-general
