In part of some code I'm rewriting from carrying around a data and
mask array to using MaskedArray, I read data into an array from an
input stream. By its nature this a "one at a time" process, so it is
basically a loop over assigning single elements (in no predetermined
order) of already allocated
When built without ATLAS, the following tests fail :
==
ERROR: check_testUfuncRegression (numpy.core.tests.test_ma.test_ufuncs)
--
Traceback (most recent call las
On Fri, 15 Feb 2008, Dinesh B Vadhia apparently wrote:
> I upgraded to Python 2.5.2c1 today, and got the following error for:
>> import numpy
>> import scipy
> Traceback (most recent call last):
> File "C:\ ... .py", line 19, in
> import scipy
> ImportError: No module named scipy
> I'm us
I upgraded to Python 2.5.2c1 today, and got the following error for:
> import numpy
> import scipy
Traceback (most recent call last):
File "C:\ ... .py", line 19, in
import scipy
ImportError: No module named scipy
I'm using Numpy 1.0.4 and Scipy 0.6.
Any ideas?
Dinesh
_
On Friday 15 February 2008 14:41:27 Alexander Michael wrote:
> Even better- thanks!
You're welcome.
> > Mmh. Where should I commit the fix ? Directly to the trunk ?
Done.
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On Fri, Feb 15, 2008 at 12:59 PM, Pierre GM <[EMAIL PROTECTED]> wrote:
> Good call.
> The easiest is still to replace the line 1361 with:
> dval = narray(value, copy=False, dtype=self.dtype)
>
> The problem with the initial method was that the tuple got transformed into a
> (2,) array whose ty
On Fri, Feb 15, 2008 at 11:51 AM, Stefan van der Walt <[EMAIL PROTECTED]> wrote:
> Numpy does complain if you attempt to resize an array with views on
> it:
>
> In [8]: x = np.array([1,2,3])
>
> In [14]: y = x[::-1]
>
> In [18]: x.resize((4,))
> ---
On Friday 15 February 2008 10:51:04 Alexander Michael wrote:
> >>> d = numpy.empty((5,4), dtype=[('value', float),('source', int)])
> >>> a = ma.MaskedArray(d, mask=True, fill_value=(0.0,0))
> >>> a[0,0] = (10.0, 1)
>
> numpy\ma\core.py in __setitem__(self, indx, value)
>1359 return
On Fri, Feb 15, 2008 at 6:49 AM, Neal Becker <[EMAIL PROTECTED]> wrote:
> I have a situation where I'm going to save some data sets to plot, but I
> don't know a-priori how many sets there will be. I'm using this code:
>
> try:
> shape = list(phase_plots.shape)
> shape[0] += 1
> phase_plots.re
On Fri, Feb 15, 2008 at 08:28:08AM -0500, Alexander Michael wrote:
> On Fri, Feb 15, 2008 at 7:12 AM, Stefan van der Walt <[EMAIL PROTECTED]>
> wrote:
> > As far as I know, the reference count to the array is increased when
> > you create a view, but the views themselves are not tracked anywhere
On Sat, Feb 16, 2008 at 12:43 AM, Christian Heimes <[EMAIL PROTECTED]> wrote:
>
> The MSDN website has some articles about SxS DLLs though. I had to read
> about ten articles to get the big picture. The information is scattered
> all over the place. :/
10 pages, xml files and not even compatibl
I am attempting to work with field dtypes (i.e. record arrays) as
MaskedArrays. I don't want to use MaskedRecords because I want the
mask to apply to the whole record since the first field is primary and
the rest are "tag along" values associated with the primary data
value. The numpy.ndarray suppo
David Cournapeau wrote:
> Do you have a link to the related python ML discussion by any chance ?
No, I'm sorry. It was a private chat between between Guido, Martin and
me during the release phase of Python 3.0a2.
The MSDN website has some articles about SxS DLLs though. I had to read
about ten ar
A Friday 15 February 2008, Charles R Harris escrigué:
> On Fri, Feb 15, 2008 at 5:09 AM, Francesc Altet <[EMAIL PROTECTED]>
wrote:
> > Hi Chuck,
> >
> > I've given more testing to the new quicksort routines for strings
> > in the forthcoming NumPy. I've run the indexing test units in
> > PyTables
Ok, sorry! The cost function is embedded into the C smo() function. I
think that you cannot access it directly.
Matthieu Brucher ha scritto:
> Well this is an input parameter, I'd like to access the cost function
> directly so that I can use it to follow its gradient to the limit
> between the
Well this is an input parameter, I'd like to access the cost function
directly so that I can use it to follow its gradient to the limit between
the two classes.
Matthieu
2008/2/15, Davide Albanese <[EMAIL PROTECTED]>:
>
> Yes: https://mlpy.fbk.eu/wiki/MlpyExamplesWithDoc
>
> * svm()
> Initialize
I have a situation where I'm going to save some data sets to plot, but I
don't know a-priori how many sets there will be. I'm using this code:
try:
shape = list(phase_plots.shape)
shape[0] += 1
phase_plots.resize (shape, refcheck=0)
except NameError:
phase_plots = empty ((1, 2*iterations+
On Fri, Feb 15, 2008 at 7:12 AM, Stefan van der Walt <[EMAIL PROTECTED]> wrote:
> As far as I know, the reference count to the array is increased when
> you create a view, but the views themselves are not tracked anywhere.
> You can therefore say whether there are references around, but you
> c
Christian Heimes wrote:
>
> That's not enough for some DLLs. .NET assemblies as well as Side-by-Side
> dlls (SxS) must be registered properly. You can install a SxS dll in
> PATH but simple copying the DLL isn't enough. It also depends on the OS.
Ah, that reminds me of something I tried, that is u
Matthieu Brucher wrote:
> When Visual Studio 2008 will be used, there might be a way of using the
> manifest files (that were created for a similar purpose).
> For the moment, All I know is that you must put the dll in the
> Windows/system32 folder or somewhere in the PATH.
That's not enough for s
On Fri, Feb 15, 2008 at 5:09 AM, Francesc Altet <[EMAIL PROTECTED]> wrote:
> Hi Chuck,
>
> I've given more testing to the new quicksort routines for strings in the
> forthcoming NumPy. I've run the indexing test units in PyTables Pro
> (they stress the sorting routines a lot) against the current
Matthieu Brucher wrote:
> When Visual Studio 2008 will be used, there might be a way of using
> the manifest files (that were created for a similar purpose).
> For the moment, All I know is that you must put the dll in the
> Windows/system32 folder or somewhere in the PATH.
Do you know where to
Whith "standard" Python:
>>> who()
Robin ha scritto:
> On Thu, Feb 14, 2008 at 8:43 PM, Alexander Michael <[EMAIL PROTECTED]> wrote:
>
>> Is there a way to list all of the arrays that are referencing a given
>> array? Similarly, is there a way to get a list of all arrays that are
>> currentl
Jon Wright wrote:
>
> Hi,
>
> To be honest I'd be nervous about spreading your depedencies all over
> the disk, the potential interactions go as n^2.
Well, I am more than nervous, this is totally insane, and I tried
different things (registry: per application path, etc...). But it just
looks l
Yes: https://mlpy.fbk.eu/wiki/MlpyExamplesWithDoc
* svm()
Initialize the svm class.
Inputs:
...
cost - for cost-sensitive classification [-1.0, 1.0]
Matthieu Brucher ha scritto:
> OK, I'll try it then :)
>
> Is there an access to the underlying cost function
When Visual Studio 2008 will be used, there might be a way of using the
manifest files (that were created for a similar purpose).
For the moment, All I know is that you must put the dll in the
Windows/system32 folder or somewhere in the PATH.
Matthieu
2008/2/15, David Cournapeau <[EMAIL PROTECTED
David Cournapeau wrote:
> Hi,
>
> My head hurt trying to understand dll management with windows. I
> wanted to find a sane way to use dll for numscons, but I can't see how
> to do this, so I was wondering if anyone on this ML had any deep
> knowledge on how to install dll, and reuse them wi
A Thursday 14 February 2008, Charles R Harris escrigué:
> On Thu, Feb 14, 2008 at 1:03 PM, Francesc Altet <[EMAIL PROTECTED]>
wrote:
> > Maybe I'd also be interested in trying insertion sort out. During
> > the optimization process of an OPSI index, there is a need to sort
> > out a slice of data
On Thu, Feb 14, 2008 at 8:43 PM, Alexander Michael <[EMAIL PROTECTED]> wrote:
> Is there a way to list all of the arrays that are referencing a given
> array? Similarly, is there a way to get a list of all arrays that are
> currently in memory?
For the second question, if you are working interac
Hi,
My head hurt trying to understand dll management with windows. I
wanted to find a sane way to use dll for numscons, but I can't see how
to do this, so I was wondering if anyone on this ML had any deep
knowledge on how to install dll, and reuse them with python extensions ?
The problem
Hi Alexander
On Thu, Feb 14, 2008 at 03:43:46PM -0500, Alexander Michael wrote:
> Is there a way to list all of the arrays that are referencing a given
> array? Similarly, is there a way to get a list of all arrays that are
> currently in memory?
As far as I know, the reference count to the array
Hi Chuck,
I've given more testing to the new quicksort routines for strings in the
forthcoming NumPy. I've run the indexing test units in PyTables Pro
(they stress the sorting routines a lot) against the current version of
NumPy in the repository, for the complete set of quicksort, mergesort
OK, I'll try it then :)
Is there an access to the underlying cost function ? (this is mainly what I
need)
Matthieu
2008/2/15, Davide Albanese <[EMAIL PROTECTED]>:
>
> I don't know very well libsvm too, the core of svm-mlpy is written in C
> and was developed by Stefano Merler ([EMAIL PROTECTED])
I don't know very well libsvm too, the core of svm-mlpy is written in C
and was developed by Stefano Merler ([EMAIL PROTECTED]).
I have simply wrapped it into svm() Python class.
Regards,
/* da */
Matthieu Brucher ha scritto:
> Thanks for the reference :)
>
> I should have asked in other terms :
Thanks for the reference :)
I should have asked in other terms : how does it compare to libsvm, which is
one of the most known packages for SVMs ?
Matthieu
2008/2/15, Davide Albanese <[EMAIL PROTECTED]>:
>
> Dear Matthieu,
> I don't know very well scikit.
> The Svm is implemented by Sequential M
Dear Matthieu,
I don't know very well scikit.
The Svm is implemented by Sequential Minimal Optimization (SMO).
As for Terminated Ramps (TR) you can read this paper:
/S. Merler and G. Jurman/* Terminated Ramp - Support Vector Machine: a
nonparametric data dependent kernel* Neural Network, 19(10), 1
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