On Thu, Mar 28, 2013 at 2:35 PM, Nelle Varoquaux <[email protected]> wrote: > But in general, I don't think we can "force" the user to use sparse > matrices. They are an absolute pain to work with because of the > inconsistencies of interface with ndarray and conversion between sparse and > dense can be time consuming.
True. What is the use case we're thinking of? Most data missing or most data zero and only some of it missing? The latter can be easily handled by sparse matrices and ndarrays in the same way, but the former is tricky. 2013/3/28 Kenneth C. Arnold <[email protected]>: > Every once in a while I think of refactoring SciPy's sparse matrices into > sparse arrays (with ndarray-like semantics) with the matrix interface as a > wrapper like np.matrix is, but it would be a big undertaking and so far > nobody else has seemed excited about it. I know the "need to rewrite scipy.sparse" itch. I for one would be very excited if you were to volunteer ;) -- Lars Buitinck Scientific programmer, ILPS University of Amsterdam ------------------------------------------------------------------------------ Own the Future-Intel(R) Level Up Game Demo Contest 2013 Rise to greatness in Intel's independent game demo contest. Compete for recognition, cash, and the chance to get your game on Steam. $5K grand prize plus 10 genre and skill prizes. Submit your demo by 6/6/13. http://altfarm.mediaplex.com/ad/ck/12124-176961-30367-2 _______________________________________________ Scikit-learn-general mailing list [email protected] https://lists.sourceforge.net/lists/listinfo/scikit-learn-general
