On Thu, Jan 24, 2013 at 08:06:58PM +0200, O. B. wrote: > Sorry I forgot the mention:
> Scikit's Logistic Regression is incredibly fast compared to Weka. Weka's > implementation (mostly based on this paper) is slow as well as VERY memory > intensive. Sometimes it wasn't enough to allocate 3 GB as heap size. My > dataset > (words in above have not more than 100 instance) is very small because I use > LR > word by word. > Is this the case because scikit's LR uses liblinear library? Possibly. However, I would draw general conclusion on relative speeds: various factors influence speed of implementations, and different approaches may be optimal in different situations. Anyhow, I am very happy that scikit-learn is fast on your problems. Gaël ------------------------------------------------------------------------------ Master Visual Studio, SharePoint, SQL, ASP.NET, C# 2012, HTML5, CSS, MVC, Windows 8 Apps, JavaScript and much more. Keep your skills current with LearnDevNow - 3,200 step-by-step video tutorials by Microsoft MVPs and experts. ON SALE this month only -- learn more at: http://p.sf.net/sfu/learnnow-d2d _______________________________________________ Scikit-learn-general mailing list Scikit-learn-general@lists.sourceforge.net https://lists.sourceforge.net/lists/listinfo/scikit-learn-general
