Following a suggestion by Joseph, I am trying to implement the
Jonker-Volgenant algorithm for best linear assignment in Python, using
numpy. Unsuprisingly, it is proving time-costly. I cannot afford to spend
too much time on this, as it not to solve a problem of mine, but for the
scikits.learn.
Dear all,
I have OSX 10.6.7, XCode 4, and Python.org python 2.6.6 and 2.7.1, where
2.7 is 64-bit.
With 2.7, easy_install successfully compiles and installs the package,
both over the web and with an explicit download.
With 2.6, there seems to be a problem with attempting to compile the PPC
On Mon, May 16, 2011 at 1:18 AM, Gael Varoquaux
gael.varoqu...@normalesup.org wrote:
Following a suggestion by Joseph, I am trying to implement the
Jonker-Volgenant algorithm for best linear assignment in Python, using
numpy. Unsuprisingly, it is proving time-costly. I cannot afford to spend
On Mon, May 16, 2011 at 8:53 AM, Charles R Harris
charlesr.har...@gmail.com wrote:
On Mon, May 16, 2011 at 1:18 AM, Gael Varoquaux
gael.varoqu...@normalesup.org wrote:
Following a suggestion by Joseph, I am trying to implement the
Jonker-Volgenant algorithm for best linear assignment in
On Mon, May 16, 2011 at 7:07 AM, josef.p...@gmail.com wrote:
On Mon, May 16, 2011 at 8:53 AM, Charles R Harris
charlesr.har...@gmail.com wrote:
On Mon, May 16, 2011 at 1:18 AM, Gael Varoquaux
gael.varoqu...@normalesup.org wrote:
Following a suggestion by Joseph, I am trying to
On Mon, May 16, 2011 at 12:18 AM, Gael Varoquaux
gael.varoqu...@normalesup.org wrote:
Following a suggestion by Joseph, I am trying to implement the
Jonker-Volgenant algorithm for best linear assignment in Python, using
numpy. Unsuprisingly, it is proving time-costly. I cannot afford to spend
Hey
On Mon, May 16, 2011 at 08:49:58AM -0700, Hoyt Koepke wrote:
On Mon, May 16, 2011 at 12:18 AM, Gael Varoquaux
gael.varoqu...@normalesup.org wrote:
Jonker-Volgenant algorithm for best linear assignment in Python, using
numpy. Unsuprisingly, it is proving time-costly. I cannot afford to
In this case, lemon exists only as C++ header files, with no compiled
code. A few cython functions should make it pretty simple. However,
yeah, it is a bit heavyweight.
Thanks for the suggestion. Unfortunately, I do not want to add compiled
code (or an external dependency) to the scikit for
On Mon, May 16, 2011 at 09:15:21AM -0700, Hoyt Koepke wrote:
Thanks for the suggestion. Unfortunately, I do not want to add compiled
code (or an external dependency) to the scikit for this solver, as it is
a fairly minor step for us. I particular chances are that it will never
be a
I might go that way: I already have pure-Python code that implements it
and that I have been using for a year or so.
Fair enough -- though you'd probably get a big speed up moving to cython.
It's a little slower on large graphs, but it still is pretty quick.
Can you put any numbers on the
On Mon, May 16, 2011 at 12:41 PM, Andrew Jaffe a.h.ja...@gmail.com wrote:
Dear all,
I have OSX 10.6.7, XCode 4, and Python.org python 2.6.6 and 2.7.1, where
2.7 is 64-bit.
With 2.7, easy_install successfully compiles and installs the package,
both over the web and with an explicit
On 16/05/2011 18:45, Ralf Gommers wrote:
On Mon, May 16, 2011 at 12:41 PM, Andrew Jaffe a.h.ja...@gmail.com
mailto:a.h.ja...@gmail.com wrote:
Dear all,
I have OSX 10.6.7, XCode 4, and Python.org python 2.6.6 and 2.7.1, where
2.7 is 64-bit.
With 2.7, easy_install
Hi,
for some research, I need to convert lots of integers into their bit
representation - but as a bit array, not a string like
numpy.binary_repr() returns it.
So instead of
In [22]: numpy.binary_repr(23)
Out[22]: '10111
I'd need:
numpy.binary_magic(23)
Out: array([ True, False, True, True,
On Mon, May 16, 2011 at 8:30 PM, Andrew Jaffe a.h.ja...@gmail.com wrote:
On 16/05/2011 18:45, Ralf Gommers wrote:
On Mon, May 16, 2011 at 12:41 PM, Andrew Jaffe a.h.ja...@gmail.com
mailto:a.h.ja...@gmail.com wrote:
Dear all,
I have OSX 10.6.7, XCode 4, and Python.org python
Hi,
I have used bitarray for that
http://pypi.python.org/pypi/bitarray/
Here
http://code.google.com/p/pylibtiff/source/browse/#svn%2Ftrunk%2Flibtiff%2Fbitarray-0.3.5-numpy
you can find bitarray with numpy support.
HTH,
Pearu
On Mon, May 16, 2011 at 9:55 PM, Nikolas Tautenhahn
Hello,
I am having trouble with performance when trying to create a cross
tabulation using numpy. Ideally, I would calculate each cell in the
cross tabulation separately because this gives me the greatest amount
of flexibility. I have included some sample code as a reference and
am really
Hi,
Here
http://code.google.com/p/pylibtiff/source/browse/#svn%2Ftrunk%2Flibtiff%2Fbitarray-0.3.5-numpy
you can find bitarray with numpy support.
Thanks, that looks promising - to get a numpy array, I need to do
numpy.array(bitarray.bitarray(numpy.binary_repr(i, l)))
for an integer i
Here's a one-liner:
In [31]: x=np.arange(-8,8)
In [32]: x
Out[32]: array([-8, -7, -6, -5, -4, -3, -2, -1, 0, 1, 2, 3, 4, 5, 6, 7])
In [33]: 1(x[:,np.newaxis]/2**np.arange(3,-1,-1))
Out[33]:
array([[1, 0, 0, 0],
[1, 0, 0, 1],
[1, 0, 1, 0],
[1, 0, 1, 1],
[1, 1,
Hi,
I think it should give the memory leaking.
I have a similar issue. I am wondering if it works fine when using Py_DECREF()
in the code. In my case, I tried to decref the PyArrayObject using Py_DECREF()
but it gives a segmentation fault. Instead, if I use the PyArray_XDECREF(), it
doesn't
On Tue, May 17, 2011 at 12:04 AM, Nikolas Tautenhahn virt...@gmx.de wrote:
Hi,
Here
http://code.google.com/p/pylibtiff/source/browse/#svn%2Ftrunk%2Flibtiff%2Fbitarray-0.3.5-numpy
you can find bitarray with numpy support.
Thanks, that looks promising - to get a numpy array, I need
On Tue, May 17, 2011 at 8:05 AM, Pearu Peterson pearu.peter...@gmail.comwrote:
On Tue, May 17, 2011 at 12:04 AM, Nikolas Tautenhahn virt...@gmx.dewrote:
Hi,
Here
http://code.google.com/p/pylibtiff/source/browse/#svn%2Ftrunk%2Flibtiff%2Fbitarray-0.3.5-numpy
you can find bitarray
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