It really depends on each estimator and there is not one format that's better every time. It's the same as with dense arrays, with C versus Fortran ordering.
Unfortunately I can't give an example off the top of my head; but I think that between SVC, LinearSVC and SGDClassifier, two of them must disagree on this. Best way to know is to thoroughly check the docs of the objects you're working in. If nothing is said there, go to the source code and maybe the first couple of lines will clue you in. Algorithms that have already been optimized for a specific format will usually convert the data to that format before starting with ``utils.check_arrays``. https://github.com/scikit-learn/scikit-learn/blob/master/sklearn/utils/validation.py#L127 Cheers, Vlad On Mon, Apr 15, 2013 at 4:00 AM, Philipp Singer <[email protected]> wrote: > Afaik scikit learn works with csr matrices internally as many mathematical > operations are just possible for csr matrices. > > Am 14.04.2013 20:01, schrieb Alex Kopp: > > Is there a sparse matrix format that is most efficient for sklearn? (COO vs > CSR vs LIL) > > Thanks > > > ------------------------------------------------------------------------------ > Precog is a next-generation analytics platform capable of advanced > analytics on semi-structured data. The platform includes APIs for building > apps and a phenomenal toolset for data science. Developers can use > our toolset for easy data analysis & visualization. Get a free account! > http://www2.precog.com/precogplatform/slashdotnewsletter > > > > _______________________________________________ > Scikit-learn-general mailing list > [email protected] > https://lists.sourceforge.net/lists/listinfo/scikit-learn-general > > > > ------------------------------------------------------------------------------ > Precog is a next-generation analytics platform capable of advanced > analytics on semi-structured data. The platform includes APIs for building > apps and a phenomenal toolset for data science. Developers can use > our toolset for easy data analysis & visualization. Get a free account! > http://www2.precog.com/precogplatform/slashdotnewsletter > _______________________________________________ > Scikit-learn-general mailing list > [email protected] > https://lists.sourceforge.net/lists/listinfo/scikit-learn-general > ------------------------------------------------------------------------------ Precog is a next-generation analytics platform capable of advanced analytics on semi-structured data. The platform includes APIs for building apps and a phenomenal toolset for data science. Developers can use our toolset for easy data analysis & visualization. Get a free account! http://www2.precog.com/precogplatform/slashdotnewsletter _______________________________________________ Scikit-learn-general mailing list [email protected] https://lists.sourceforge.net/lists/listinfo/scikit-learn-general
