Le 13 avril 2012 15:23, Conrad Lee <[email protected]> a écrit : > I did implement a weighted mean shift (see issue 442 on the github > repository). It may or may not be weighted in the sense that you mean. > Rather only having a flat kernel, there is an option to use a gaussian > kernel. I did go so far as to make a pull request, but we decided my branch > needed a bit more work to not change the previous interface. I never got > around to making those small changes, and so it has not been merged. > > Here's a link to my branch with the gaussian kernel: > https://github.com/conradlee/scikit-learn/tree/442-meanshift-gauss
Please issue a pull request and make the title startwith "WIP: " so that reviewers can know that this is early work not ready for mergingbut early feedback is welcomed. -- Olivier http://twitter.com/ogrisel - http://github.com/ogrisel ------------------------------------------------------------------------------ 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
