Hi, I have test data of about 75000 x 75000 dimensions. I need to do svd, or at least an eigen decomp on this data. from search suggests to me that the linalg functions in scipy and numpy don't work on sparse matrices.
I can't even get empty((10000,10000),dtype=float) to work (memory errors, or too many dims), I'm starting to feel like I'm in a bit of trouble here :) What do people use to do large svd's? I'm not adverse to using another lib or wrapping something. Cheers Dave _______________________________________________ Numpy-discussion mailing list [email protected] http://projects.scipy.org/mailman/listinfo/numpy-discussion
