Le 11 avril 2012 16:59, Michael Selik <[email protected]> a écrit : > Certainly. It looks like a good approach would be to break out line 121 in > mean_shift_.py: >> my_mean = np.mean(points_within, axis=0) > > And provide a function instead that allows several methods of mean > calculation -- flat kernel (current method), gaussian kernel, and/or > accuracy-weighted kernel. > > Any thoughts before I get started?
Have a look at other estimators that use stuff like precomputed kernels, class_weight and sample_weight and try to reuse the idioms of the rest of the library where applicable for consistency. git grep precomputed git grep kernel git grep class_weight git grep sample_weight -- Olivier http://twitter.com/ogrisel - http://github.com/ogrisel ------------------------------------------------------------------------------ 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
