On Thu, Nov 10, 2011 at 10:45 AM, Peter Prettenhofer <peter.prettenho...@gmail.com> wrote: >> I don't know if np.dot is supposed to know anything about sparse >> matrices; if so, then a fancier change may be needed. > > Ok, then I'll pass that on to the (sparse) scipy folks. > Are there any alternative to np.dot you are aware of?
With sparse matrices, you can simply do S = ss.csr_matrix(np.arange(9).reshape((3,3))) x = np.array([[1],[1],[1]]) print S * x [[ 6.] [ 15.] [ 24.]] But I assume what you want is an easy way to handle both sparse matrices and dense arrays with the same call? I noticed in your comment on the sklearn list that this used to work on older versions of numpy. If that is the case, this is probably a regression that needs to be fixed. Regards Stéfan _______________________________________________ NumPy-Discussion mailing list NumPy-Discussion@scipy.org http://mail.scipy.org/mailman/listinfo/numpy-discussion
