There are definitely elements of spectral graph theory in my research
too. I'll summarise
We are interested in seeing the each eigenvector from svd can
represent in a semantic space
In addition to this we'll be testing it against some algorithms like
concept indexing (uses a bipartitional k-meansi
On 5/13/07, Dave P. Novakovic <[EMAIL PROTECTED]> wrote:
> Are you trying some sort of principal components analysis?
PCA is indeed one part of the research I'm doing.
I had the impression you were trying to build a linear space in which to
embed a model, like atmospheric folk do when they t
> 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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dmitrey wrote:
> Is the genutils module not included to standard CPython edition?
> First of all I'm interested in what is the best way for latter, for to
> users not need installing anything else.
> Thx, D.
>
>
> Fernando Perez wrote:
>> On 5/12/07, [EMAIL PROTECTED] <[EMAIL PROTECTED]> wrote:
It's alwys helpful if you can include a self contained example so it's easy
to figure out exactly what you are getting at. I say that because I'm not
entirely sure of the context here -- it appears that this is not numpy
related issue at all, but rather a general python question. If so, I think
wh
Hi Dmitrey
On Sun, May 13, 2007 at 08:21:15PM +0300, dmitrey wrote:
> > Many people here are compiling numpy fine under Ubuntu. Do you have
> > write permissions to the output directory? What is the compiler error
> > given?
> >
> Sorry, I meant compiling Python2.5 and Octave, not numpy & Octa
Hi,
you have a problem with your Ubuntu installation, not with numpy.
Matthieu
2007/5/13, dmitrey <[EMAIL PROTECTED]>:
Stefan van der Walt wrote:
> On Sun, May 13, 2007 at 06:19:30PM +0300, dmitrey wrote:
>
>> Is it possible somehow to speedup numpy 1.0.3 appearing in Linux update
>> channels
Stefan van der Walt wrote:
> On Sun, May 13, 2007 at 06:19:30PM +0300, dmitrey wrote:
>
>> Is it possible somehow to speedup numpy 1.0.3 appearing in Linux update
>> channels? (as for me I'm interested in Ubuntu/Kubuntu, currently there
>> is v 1.0.1)
>> I tried to compile numpy 1.0.2, but, a
Stefan van der Walt wrote:
> Hi all,
>
> In the numpy.sctypes dictionary, there are two entries for uint32:
>
> In [2]: N.sctypes['uint']
> Out[2]:
> [,
> ,
> ,
> ,
> ]
>
> Comparing the dtypes of the two types gives the correct answer:
>
> In [3]: sc = N.sctypes['uint']
>
> In [4]: N.dty
Hi all,
In the numpy.sctypes dictionary, there are two entries for uint32:
In [2]: N.sctypes['uint']
Out[2]:
[,
,
,
,
]
Comparing the dtypes of the two types gives the correct answer:
In [3]: sc = N.sctypes['uint']
In [4]: N.dtype(sc[2]) == N.dtype(sc[3])
Out[4]: True
But the hash values
hi all,
does anyone know howto copy an instance of class, that contains multiple
subfields, for example
myObj.field1.subfield2 = 'asdf'
myObj.field4.subfield8 = numpy.mat('1 2 3; 4 5 6')
I tried
from copy import copy
myObjCopy = copy(myObj)
but it seems that it doesn't work correctly
Thx, D.
___
On Sun, May 13, 2007 at 06:19:30PM +0300, dmitrey wrote:
> Is it possible somehow to speedup numpy 1.0.3 appearing in Linux update
> channels? (as for me I'm interested in Ubuntu/Kubuntu, currently there
> is v 1.0.1)
> I tried to compile numpy 1.0.2, but, as well as in Octave compiling, it
> f
Is it possible somehow to speedup numpy 1.0.3 appearing in Linux update
channels? (as for me I'm interested in Ubuntu/Kubuntu, currently there
is v 1.0.1)
I tried to compile numpy 1.0.2, but, as well as in Octave compiling, it
failed because "c compiler can't create executable". gcc reinstallat
On 5/13/07, Dave P. Novakovic <[EMAIL PROTECTED]> wrote:
They are very large numbers indeed. Thanks for giving me a wake up call.
Currently my data is represented as vectors in a vectorset, a typical
sparse representation.
I reduced the problem significantly by removing lots of noise. I'm
basic
Hello all
On Sat, 12 May 2007, Charles R Harris wrote:
> On 5/12/07, Albert Strasheim <[EMAIL PROTECTED]> wrote:
> >
> >I've more or less finished my quick triage effort.
>
> Thanks, Albert. The tickets look much better organized now.
My pleasure. Stefan van der Walt has also gotten in on the a
On Sun, May 13, 2007 at 07:46:47AM -0400, Darren Dale wrote:
> On Sunday 13 May 2007 7:36:39 am dmitrey wrote:
> > i.e. for example from flat array [1, 2, 3] obtain
> > array([[ 1.],
> >[ 2.],
> >[ 3.]])
>
> a=array([1,2,3])
> a.shape=(len(a),1)
Or just
a.shape = (-1,1)
Cheers
S
On Sunday 13 May 2007 7:36:39 am dmitrey wrote:
> i.e. for example from flat array [1, 2, 3] obtain
> array([[ 1.],
>[ 2.],
>[ 3.]])
a=array([1,2,3])
a.shape=(len(a),1)
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On Sun, May 13, 2007 at 02:36:39PM +0300, dmitrey wrote:
> i.e. for example from flat array [1, 2, 3] obtain
> array([[ 1.],
>[ 2.],
>[ 3.]])
>
> I have numpy v 1.0.1
> Thx, D.
Use newaxis:
In [1]: a = array([1., 2., 3.])
In [2]: a
Out[2]: array([ 1., 2., 3.])
In [3]: a[:,newax
i.e. for example from flat array [1, 2, 3] obtain
array([[ 1.],
[ 2.],
[ 3.]])
I have numpy v 1.0.1
Thx, D.
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Hi out there,
this is the code segment
if m < maxN and n < maxN and self.activeWide[m+1, n+1]:
try:
deltaX = x[m+1] - x[m]
except TypeError:
print '-' * 40
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