Timothy Hochberg wrote:
> results = empty([M, N], float)
> # You could be fancy and swap axes depending on which array is larger, but
> # I'll leave that for someone else
> for i, v in enumerate(x):
> results[i] = sqrt(sum((v-y)**2, axis=-1))
you can probably use numpy.hypot(v-y) to speed thi
I'm about to build numpy using Intel's MKL 9.1 beta and want to compare
it with the version I built using MKL 8.1. Is the LINPACK
benchmark the most appropriate?
Thanks,
-rex
--
Pollytheism: n., the belief that there are many gods, all of them parrots.
___
On 4/13/07, Timothy Hochberg <[EMAIL PROTECTED]> wrote:
> On 4/13/07, Bill Baxter <[EMAIL PROTECTED]> wrote:
> > I think someone posted some timings about this before but I don't recall.
http://aspn.activestate.com/ASPN/Cookbook/Python/Recipe/498246
[snip]
> I'm going to go out on a limb and cont
Here's a bunch of dist matrix implementations and their timings.
The upshot is that for most purposes this seems to be the best or at
least not too far off (basically the cookbook solution Kier posted)
def dist2hd(x,y):
"""Generate a 'coordinate' of the solution at a time"""
d = npy.zeros((
David Cournapeau wrote:
> On Ubuntu and debian, you do NOT need any site.cfg to compile numpy with
> atlas support. Just install the package atlas3-base-dev, and you are
> done. The reason is that when *compiling* a software which needs atlas,
> the linker will try to find libblas.so in /usr/lib
Stefan van der Walt wrote:
> Hi Christiaan
>
> On Sun, Apr 15, 2007 at 02:03:49PM +0900, Christian K wrote:
>> could someone please provide example code for how to make a subclassed
>> ndarray
>> pickable? I don't quite understand the docs of ndarray.__reduce__.
>> My subclassed ndarray has just
