Hi again, folks. I have a special request. Part of the vision for my job is
that I'll focus my writing efforts on the docs no one else is gung-ho to work
on. So, even if you're not quite ready to commit, if you're leaning toward
volunteering to be a team lead for one (or more) categories,
--- On Mon, 6/8/09, Robert Kern robert.k...@gmail.com wrote:
The OpenFormula standard is probably better:
http://www.oasis-open.org/committees/documents.php?wg_abbrev=office-formula
--
Robert Kern
OK, thanks Robert (as always); I'll go ahead and use this until/unless someone
provide a
On Mon, Jun 8, 2009 at 7:14 PM, David Warde-Farleyd...@cs.toronto.edu wrote:
On 8-Jun-09, at 8:33 AM, Jason Rennie wrote:
Note that EM can be very slow to converge:
That's absolutely true, but EM for PCA can be a life saver in cases where
diagonalizing (or even computing) the full
2009/6/9 Robin robi...@gmail.com:
On Mon, Jun 8, 2009 at 7:14 PM, David Warde-Farleyd...@cs.toronto.edu wrote:
On 8-Jun-09, at 8:33 AM, Jason Rennie wrote:
Note that EM can be very slow to converge:
That's absolutely true, but EM for PCA can be a life saver in cases where
diagonalizing (or
Robin wrote:
On Mon, Jun 8, 2009 at 7:14 PM, David Warde-Farleyd...@cs.toronto.edu wrote:
On 8-Jun-09, at 8:33 AM, Jason Rennie wrote:
Note that EM can be very slow to converge:
That's absolutely true, but EM for PCA can be a life saver in cases where
diagonalizing (or even computing)
David Cournapeau wrote:
I think the biggest problem is the 'babel tower' aspect of machine
learning (the expression is from David H. Wolpert I believe), and
practitioners in different subfields often use totally different words
for more or less the same concepts (and many keep being
Robert Cimrman cimrman3 at ntc.zcu.cz writes:
I'd really like to see the setmember1d_nu function in ticket 1036 get into
numpy. There's a patch waiting for review that including tests:
http://projects.scipy.org/numpy/ticket/1036
Is there anything I can do to help get it applied?
2009/6/9 David Cournapeau da...@ar.media.kyoto-u.ac.jp:
Anyway, the book from Bishop is a pretty good reference by one of the
leading researcher:
http://research.microsoft.com/en-us/um/people/cmbishop/prml/
It can be read without much background besides basic 1st year
calculus/linear
I'm getting the error
OverflowError: cannot fit 'long' into an index-sized integer
when I try to memmap a 6gb file
top of the stack trace is
mm = mmap.mmap(fid.fileno(), bytes, access=acc)
where bytes = 652800L
I thought that 64-bit systems with python2.5 could memmap large
files. I'm
Neil Crighton wrote:
Robert Cimrman cimrman3 at ntc.zcu.cz writes:
I'd really like to see the setmember1d_nu function in ticket 1036 get into
numpy. There's a patch waiting for review that including tests:
http://projects.scipy.org/numpy/ticket/1036
Is there anything I can do to help get
Hi,
I am starting a new thread, so that it reaches the interested people.
Let us discuss improvements to arraysetops (array set operations) at [1]
(allowing non-unique arrays as function arguments, better naming
conventions and documentation).
r.
[1]
2009/6/9 Stéfan van der Walt ste...@sun.ac.za:
Hi Juan
---cut ---
As you can see, it is very simple, but it takes several seconds running just
to create a 200x200 plot. Fortran takes same time to create a 2000x2000
plot, around 100 times faster... So the question is, do you know how to
On Tue, Jun 9, 2009 at 2:32 AM, John Schulman jos...@caltech.edu wrote:
I'm getting the error
OverflowError: cannot fit 'long' into an index-sized integer
when I try to memmap a 6gb file
top of the stack trace is
mm = mmap.mmap(fid.fileno(), bytes, access=acc)
where bytes = 652800L
I
Charles R Harris wrote:
On Tue, Jun 9, 2009 at 2:32 AM, John Schulman jos...@caltech.edu
mailto:jos...@caltech.edu wrote:
I'm getting the error
OverflowError: cannot fit 'long' into an index-sized integer
when I try to memmap a 6gb file
top of the stack trace is
mm =
On Tue, Jun 9, 2009 at 1:14 AM, josef.p...@gmail.com wrote:
On Tue, Jun 9, 2009 at 12:51 AM, d_l_goldsm...@yahoo.com wrote:
--- On Mon, 6/8/09, Skipper Seabold jsseab...@gmail.com wrote:
I forgot the last payment (which doesn't earn any
interest), so one more 100.
So in fact they're not in
OK looks like that was the issue
$ python -c import platform; print platform.machine()
i386
Thanks
On Tue, Jun 9, 2009 at 2:52 AM, David
Cournapeauda...@ar.media.kyoto-u.ac.jp wrote:
Charles R Harris wrote:
On Tue, Jun 9, 2009 at 2:32 AM, John Schulman jos...@caltech.edu
Hi,
Numpy let's me define arrays with zero rows and/or
columns, and that's wanted behaviour from what I have
read in discussions. However, I can add an array
with zero rows to an array with one row (but not more),
resulting in another zero row array, like so:
In: a = zeros((4,0))
In: a
Out:
What's the best way to install a 64-bit python alongside my existing
installation?
On Tue, Jun 9, 2009 at 7:32 AM, John Schulmanjos...@caltech.edu wrote:
OK looks like that was the issue
$ python -c import platform; print platform.machine()
i386
Thanks
On Tue, Jun 9, 2009 at 2:52 AM,
John Schulman wrote:
What's the best way to install a 64-bit python alongside my existing
installation?
It is a bit complicated because you need to build your own python
interpreter (the python.org one does not handle 64 bits AFAIK). You
could just install your python somewhere in your
I tried to calculate the second fourier transformation of an image with the
following code below:
---
import pylab
import numpy
### Create a simple image
fx = numpy.zeros( 128**2 ).reshape(128,128).astype( numpy.float )
for i in
Hi,
Is it really ?
You only show the imaginary part of the FFT, so you can't be sure of
what you are saying.
Don't forget that the only difference between FFT and iFFT is (besides
of teh scaling factor) a minus sign in the exponent.
Matthieu
2009/6/9 bela bela.miha...@gmail.com:
I tried to
On Tue, Jun 9, 2009 at 8:51 AM, John Schulman jos...@caltech.edu wrote:
What's the best way to install a 64-bit python alongside my existing
installation?
There was a long thread about that a while back. Try a search on the
archives. It wasn't all that easy, though.
Chuck
Thanks, Stefan. The lists you suggest already exist (more or less, depending
on the thing, i.e., list of categories, completely, prioritized list of
individual items, sort of, at least w/in the categories) on the Milestones page
(that's essentially what the Milestones page is) and the list of
--- On Tue, 6/9/09, Skipper Seabold jsseab...@gmail.com wrote:
These are the two most basic building blocks of time value
problems,
discounting one cash flow and an annuity. There are
*plenty* of
examples and use cases for uneven cash flows or for
providing a given
pv or fv. Without
Thanks, Bruce.
--- On Tue, 6/9/09, Bruce Southey bsout...@gmail.com wrote:
Hi,
Great.
Can you provide the actual colors at the start for :
* Edit white, light gray, or yellow
* Don't edit dark gray
While not color-blind, not all browsers render the same
colors on all
operating
Also the milestone link from the Front Page does not go
anywhere:
http://docs.scipy.org/numpy/Front%20Page/#milestones
Fixed.
DG
___
Numpy-discussion mailing list
Numpy-discussion@scipy.org
On 9-Jun-09, at 3:54 AM, David Cournapeau wrote:
For example, what ML people call PCA is called Karhunen Loéve in
signal
processing, and the concepts are quite similar.
Yup. This seems to be a nice set of review notes:
http://www.ece.rutgers.edu/~orfanidi/ece525/svd.pdf
And going
--- On Tue, 6/9/09, Matthieu Brucher matthieu.bruc...@gmail.com wrote:
Hi,
Is it really ?
You only show the imaginary part of the FFT, so you can't
be sure of
what you are saying.
Indeed, is there not a label for a function f which satisfies
Im(iFFT(f)) = Im(FFT^2(f)), Re(iFFT(f))
Sorry, I meant:
Im(iFT(FT(f))) = Im(FT^2(f)), Re(iFT(FT(f))) != Re(FT^2(f))
DG
--- On Tue, 6/9/09, David Goldsmith d_l_goldsm...@yahoo.com wrote:
From: David Goldsmith d_l_goldsm...@yahoo.com
Subject: Re: [Numpy-discussion] second 2d fft gives the same result as
fft+ifft
To:
Sun, 07 Jun 2009 12:09:40 +0200, Sebastian Walter wrote:
from numpy import *
import numpy
print 'numpy.__version__=',numpy.__version__
class adouble:
def __init__(self,x):
self.x = x
def __mul__(self,rhs):
if isinstance(rhs,adouble):
On Tue, Jun 9, 2009 at 09:38, David Paul
Reichertd.p.reich...@sms.ed.ac.uk wrote:
Hi,
Numpy let's me define arrays with zero rows and/or
columns, and that's wanted behaviour from what I have
read in discussions. However, I can add an array
with zero rows to an array with one row (but not
Dear all,
Can someone point me to a doc on dot product vectorisation ?
Here is what I try to do :
I've got a rotation function which looks like :
def rotat_scal(phi, V):
s = math.sin(phi)
c = math.cos(phi)
M = np.zeros((3, 3))
M[2, 2] = M[1, 1] = c
M[1, 2] = -s
M[2,
Would it be a reasonable request, that the F2PY Windows web page
contain known combinations of version numbers for Python, Numpy and
Gfortran verified to play nice? Some references as to queried compiler
system environmental variables would be useful also.
Thanks,
Andy
On 9-Jun-09, at 2:56 PM, bruno Piguet wrote:
Phi is now of size(n) and V (n, 3).
(I really whish to have this shape, for direct correspondance to
file).
The corresponding function looks like :
def rotat_vect(phi, V):
s = np.sin(phi)
c = np.cos(phi)
M = np.zeros((len(phi), 3,
On Tue, Jun 9, 2009 at 12:56 PM, bruno Piguet bruno.pig...@gmail.comwrote:
Dear all,
Can someone point me to a doc on dot product vectorisation ?
Here is what I try to do :
I've got a rotation function which looks like :
def rotat_scal(phi, V):
s = math.sin(phi)
c =
Hi,
I'm one of the Eigen developers and was pointed to your discussion. I
just want to clarify a few things for future reference (not trying to
get you to use Eigen):
No, eigen does not provide a (complete) BLAS/LAPACK interface.
True,
I don't know if that's even a goal of eigen
Not a goal
On Tue, Jun 9, 2009 at 7:46 PM, Benoit Jacob jacob.benoi...@gmail.comwrote:
Hi,
I'm one of the Eigen developers and was pointed to your discussion. I
just want to clarify a few things for future reference (not trying to
get you to use Eigen):
No, eigen does not provide a (complete)
Hi Benoit,
Benoit Jacob wrote:
No, because _we_ are serious about compilation times, unlike other c++
template libraries. But granted, compilation times are not as short as
a plain C library either.
I concede it is not as bad as the heavily templated libraries in boost.
But C++ is just
Carl, Andrew F (AS) wrote:
Would it be a reasonable request, that the F2PY Windows web page
contain known combinations of version numbers for Python, Numpy and
Gfortran verified to play nice? Some references as to queried compiler
system environmental variables would be useful also.
I have
On Tue, Jun 9, 2009 at 12:58 PM, David Goldsmithd_l_goldsm...@yahoo.com wrote:
--- On Tue, 6/9/09, Skipper Seabold jsseab...@gmail.com wrote:
These are the two most basic building blocks of time value
problems,
discounting one cash flow and an annuity. There are
*plenty* of
examples and
On 7-Jun-09, at 4:56 AM, giorgio.luci...@inwind.it wrote:
Sorry for cross posting
Hello to all,
I've done a script for importing all spectra files in a directory
and merge all them in one matrix. The file imported are dx files.
the bad part is that the file is in matlab and it requite a
David Warde-Farley wrote:
On 9-Jun-09, at 3:54 AM, David Cournapeau wrote:
For example, what ML people call PCA is called Karhunen Loéve in
signal
processing, and the concepts are quite similar.
Yup. This seems to be a nice set of review notes:
--- On Tue, 6/9/09, Skipper Seabold jsseab...@gmail.com wrote:
I have implemented the ipmt and ppmt functions that were
not
implemented in numpy.lib.financial as well as written some
tests.
Thanks!
ipmt is one of the functions where there was a discrepancy
between
what OO and Excel
Hello,
I am having problem while trying to memory map a simple file (attached as
test.txt)
In IPython
data = memmap('test.txt', mode='r', dtype=double, shape=(3,5))
data
memmap([[ 3.45616501e-86, 4.85780149e-33, 4.85787493e-33,
5.07185821e-86, 4.85780159e-33],
[
Hi,
I am having problem while trying to memory map a simple file (attached as
test.txt)
The file looks like a text file, but memmap is for binary files.
Could that be the problem?
Best,
Matthew
___
Numpy-discussion mailing list
On Wed, Jun 10, 2009 at 12:34 AM, Matthew Brett matthew.br...@gmail.comwrote:
Hi,
I am having problem while trying to memory map a simple file (attached as
test.txt)
The file looks like a text file, but memmap is for binary files.
Could that be the problem?
Best,
Matthew
I don't
--- On Tue, 6/9/09, Gökhan SEVER gokhanse...@gmail.com wrote:
Matthew Brett matthew.br...@gmail.com
wrote:
I am having problem while trying to memory map a
simple file (attached as
test.txt)
The file looks like a text file, but memmap is for
binary files.
Could that be the
Sorry for the double post, my link and/or browser was acting up.
DG
___
Numpy-discussion mailing list
Numpy-discussion@scipy.org
http://mail.scipy.org/mailman/listinfo/numpy-discussion
48 matches
Mail list logo