> How do you plan to represent variable-length time series? Lists of 1d numpy > arrays work but would be slow I guess. The ideal representation needs to be > compatible with grid search and fast.
good point. I was thinking of forcing all time series to have the same length. or use dtype = object like we do it in \epsilon-kNN to return a different number of neighbors for each sample. A ------------------------------------------------------------------------------ Go from Idea to Many App Stores Faster with Intel(R) XDK Give your users amazing mobile app experiences with Intel(R) XDK. Use one codebase in this all-in-one HTML5 development environment. Design, debug & build mobile apps & 2D/3D high-impact games for multiple OSs. http://pubads.g.doubleclick.net/gampad/clk?id=254741911&iu=/4140 _______________________________________________ Scikit-learn-general mailing list Scikit-learn-general@lists.sourceforge.net https://lists.sourceforge.net/lists/listinfo/scikit-learn-general
