> One area I'd like to work on is density estimation: KDE in particular > is an important component of a wide variety of algorithms, and there is > not (to my knowledge) a good flexible & scalable KDE implementation > currently in the scipy universe. I think we're well-poised to offer > that, but it would require an improved ball tree/kd tree > implementation.
Density estimation would be great, and it fits well in the API of the scikit. Definitely +1, but it's a case of finding the right person that has an itch to scratch (hint ;} ). G ------------------------------------------------------------------------------ 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/learnmore_123012 _______________________________________________ Scikit-learn-general mailing list Scikit-learn-general@lists.sourceforge.net https://lists.sourceforge.net/lists/listinfo/scikit-learn-general
