Dear all,
I have written the following function to compute the square distances of a large
matrix (each sample a row). It compute row by row and print the overall
progress.
The progress output is important and I didn't use matrix multiplication.
I give as input a 70,000x800 matrix. The output
Hi,
On Tue, Oct 8, 2013 at 1:06 AM, Ke Sun sunk...@gmail.com wrote:
Dear all,
I have written the following function to compute the square distances of a
large
matrix (each sample a row). It compute row by row and print the overall
progress.
The progress output is important and I didn't
your computation is symmetric so you only need to compute the upper or
lower triangle which will save both memory and time.
On Tue, Oct 8, 2013 at 10:06 AM, Ke Sun sunk...@gmail.com wrote:
Dear all,
I have written the following function to compute the square distances of a
large
matrix
On 08/10/13 09:06, Ke Sun wrote:
I give as input a 70,000x800 matrix. The output should be a 70,000x70,000
matrix. The program runs really slow (16 hours for 1/3 progress). And it eats
36G memory (fortunately I have enough).
At this stage I'd be asking myself what I'm trying to achieve and why
On 08/10/13 09:49, Matthew Brett wrote:
On Tue, Oct 8, 2013 at 1:06 AM, Ke Sunsunk...@gmail.com wrote:
Dear all,
I have written the following function to compute the square distances of a
large
matrix (each sample a row). It compute row by row and print the overall
progress.
The
Out of interest, how did you do this with matrix multiplication?
http://stackoverflow.com/a/4856692
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On Tue, Oct 08, 2013 at 01:49:14AM -0700, Matthew Brett wrote:
Hi,
On Tue, Oct 8, 2013 at 1:06 AM, Ke Sun sunk...@gmail.com wrote:
Dear all,
I have written the following function to compute the square distances of a
large
matrix (each sample a row). It compute row by row and print
Hi,
I have a quick question about typenum. Certain functions, like
`PyArray_SimpleNewFromData` `PyArray_SimpleNew` take a typeenum
argument. Is there any way to go from typeenum to something that can be
passed to the dtype constructor, like mapping 12 - 'f8'?
thanks,
V-
On Tue, Oct 8, 2013 at 1:38 PM, Ke Sun sunk...@gmail.com wrote:
On a machine I had access to it took about 20 minutes.
How? I am using matrix multiplication (the same code as
http://stackoverflow.com/a/4856692) and it runs for around 18 hours.
make sure you are using an optimized BLAS
Hello,
I am having trouble with solving line intersection problem. I would solve it
using standard functions which may already exist in Python library.
Let me explain it below:
I have sets of lines A(x,y) and B(x,y) and one map as a matrix form, also with
its resolution dx, dy which can be
On Tue, Oct 8, 2013 at 4:38 AM, Ke Sun sunk...@gmail.com wrote:
On Tue, Oct 08, 2013 at 01:49:14AM -0700, Matthew Brett wrote:
Hi,
On Tue, Oct 8, 2013 at 1:06 AM, Ke Sun sunk...@gmail.com wrote:
Dear all,
I have written the following function to compute the square distances
of a
Hi Valentin,
On 8 October 2013 13:23, Valentin Haenel valen...@haenel.co wrote:
Certain functions, like
`PyArray_SimpleNewFromData` `PyArray_SimpleNew` take a typeenum
Is there any way to go from typeenum to something that can be
passed to the dtype constructor, like mapping 12 - 'f8'?
If
Hi Richard,
* Richard Hattersley rhatters...@gmail.com [2013-10-08]:
On 8 October 2013 13:23, Valentin Haenel valen...@haenel.co wrote:
Certain functions, like
`PyArray_SimpleNewFromData` `PyArray_SimpleNew` take a typeenum
Is there any way to go from typeenum to something that can be
Hi Bernard,
Looks like you're on to something - two other people have raised this
discrepancy before: https://github.com/numpy/numpy/issues/2588.
Unfortunately, when it comes to resolving the discrepancy one of the
previous comments takes the opposite view. Namely, that the docstring is
correct
On 8 October 2013 19:56, Valentin Haenel valen...@haenel.co wrote:
I ended up using: PyArray_TypeObjectFromType
from cython so:
np.dtype(cnp.PyArray_TypeObjectFromType(self.ndtype)).str
Maybe i can avoid the np.dtype call, when using PyArray_Descr?
In short: yes.
* Richard Hattersley rhatters...@gmail.com [2013-10-08]:
On 8 October 2013 19:56, Valentin Haenel valen...@haenel.co wrote:
I ended up using: PyArray_TypeObjectFromType
from cython so:
np.dtype(cnp.PyArray_TypeObjectFromType(self.ndtype)).str
Maybe i can avoid the np.dtype call,
Hi,
On Tue, Oct 8, 2013 at 4:38 AM, Ke Sun sunk...@gmail.com wrote:
On Tue, Oct 08, 2013 at 01:49:14AM -0700, Matthew Brett wrote:
Hi,
On Tue, Oct 8, 2013 at 1:06 AM, Ke Sun sunk...@gmail.com wrote:
Dear all,
I have written the following function to compute the square distances of a
Hi,
On Tue, Oct 8, 2013 at 12:44 PM, Matthew Brett matthew.br...@gmail.com wrote:
Hi,
On Tue, Oct 8, 2013 at 4:38 AM, Ke Sun sunk...@gmail.com wrote:
On Tue, Oct 08, 2013 at 01:49:14AM -0700, Matthew Brett wrote:
Hi,
On Tue, Oct 8, 2013 at 1:06 AM, Ke Sun sunk...@gmail.com wrote:
Dear
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