Hi list, if somebody tries to use scikit-learn with the current dev version of numpy he/she will experience strange behavior (even segfaults) when dealing with sparse matrices. It seems that there's a bug in the current numpy HEAD that causes `np.dot` to fail if one of the operands is a sparse matrix. This used to work at least for numpy <= 1.6.x and is used in the scikit all over the place. Now the question: is np.dot supposed to work on sparse matrices at all? If not, we should try to make the scikit future proof ASAP!
Stéfan van der Walt raised this issue in response to my question on the numpy mailing list. http://mail.scipy.org/pipermail/numpy-discussion/2011-November/059203.html best, Peter -- Peter Prettenhofer ------------------------------------------------------------------------------ RSA(R) Conference 2012 Save $700 by Nov 18 Register now http://p.sf.net/sfu/rsa-sfdev2dev1 _______________________________________________ Scikit-learn-general mailing list [email protected] https://lists.sourceforge.net/lists/listinfo/scikit-learn-general
