[Numpy-discussion] svd in numpy
Bruce Southey
bsouthey at gmail.com
Mon May 19 11:31:10 EDT 2008
Nripun Sredar wrote:
> I am running on Windows Xp, Intel Xeon CPU. I'd like to fill in a few
> more things here. If I send 0 in the second and third argument of svd
> then I get the singular_values, but if its 1 then the problem
> persists. I've tried this on sparse and non-sparse matrices. This is
> with the latest windows binaries numpy-1.0.4.win32-py2.5.msi.
>
>
>
>
> On Sat, May 17, 2008 at 2:34 AM, David Cournapeau
> <david at ar.media.kyoto-u.ac.jp <mailto:david at ar.media.kyoto-u.ac.jp>>
> wrote:
>
> Nripun Sredar wrote:
> > I have a sparse matrix 416x52. I tried to factorize this matrix
> using
> > svd from numpy. But it didn't produce a result and looked like it is
> > in an infinite loop.
> > I tried a similar operation using random numbers in the matrix. Even
> > this is in an infinite loop.
> > Did anyone else face a similar problem?
> > Can anyone please give some suggestions?
>
> Are you on windows ? What is the CPU on your machine ? I suspect
> this is
> caused by windows binaries which shipped blas/lapack without
> support for
> "old" CPU.
>
> cheers,
>
> David
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Hi,
The issue relates to the closed ticket 627:
http://www.scipy.org/scipy/numpy/ticket/627
Please update to the latest Numpy 1.1 (rc1 is available) or, as a
temporary measure, use the installer:
http://www.ar.media.kyoto-u.ac.jp/members/david/archives/numpy-superpack-python2.5.exe
That uses numpy version 1.0.5.dev5008 which should solve you problem.
Regards
Bruce
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