This may be of interest,
LLVM support in Mesa, and i believe there is work doing on with LLVM
and python in the pypy camp.
http://zrusin.blogspot.com/2007/05/mesa-and-llvm.html
I just stumbled on this page, while this conversation was happening :)
Dave
On 6/2/07, Bob Lewis <[EMAIL PROTECTED]>
ourse, more physical details would be helpful in
> better understanding your problem.
> good luck,
> val
>
> - Original Message -
> From: "Dave P. Novakovic" <[EMAIL PROTECTED]>
> To: "Discussion of Numerical Python"
> Sent: Sunday, May 13, 2
d out of the docs to build a
space around it.)
Cheers
Dave
On 5/14/07, Charles R Harris <[EMAIL PROTECTED]> wrote:
>
>
> On 5/13/07, Dave P. Novakovic <[EMAIL PROTECTED]> wrote:
> > > Are you trying some sort of principal components analysis?
> >
> > P
> Are you trying some sort of principal components analysis?
PCA is indeed one part of the research I'm doing.
Dave
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/python2.4/site-packages/numpy/linalg/linalg.py", line
575, in svd
vt = zeros((n, nvt), t)
MemoryError
Cheers
Dave
On 5/13/07, Anne Archibald <[EMAIL PROTECTED]> wrote:
> On 12/05/07, Dave P. Novakovic <[EMAIL PROTECTED]> wrote:
>
> > core 2 duo with 4gb RAM.
>
s
Dave
On 5/13/07, Charles R Harris <[EMAIL PROTECTED]> wrote:
>
>
> On 5/12/07, Dave P. Novakovic <[EMAIL PROTECTED]> wrote:
> > 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.
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((1,1),dtype=float) to work (memory
errors, or
