it looks like you want convolutions... we have things for that
everyone has super optimized things for that
On Tue, Aug 5, 2014 at 10:57 AM, Bao Thien wrote:
> Thank you very much Yogesh :)
>
>
> On Tue, Aug 5, 2014 at 4:42 PM, Yogesh Karpate
> wrote:
>
>> Actually this question will b
Thank you very much Yogesh :)
On Tue, Aug 5, 2014 at 4:42 PM, Yogesh Karpate
wrote:
> Actually this question will be paid very less attention here because its
> ML forum . But anyways, you can try to
> vectorize your code using numpy or can use the same code snippet infused
> with
> numba (JI
Actually this question will be paid very less attention here because its
ML forum . But anyways, you can try to
vectorize your code using numpy or can use the same code snippet infused
with
numba (JIT Compiler). See this
http://nbviewer.ipython.org/github/aterrel/HPCPythonSC2012/blob/master/02_Sp
sorry, A is also array of (size1, size2)
On Tue, Aug 5, 2014 at 4:28 PM, Bao Thien wrote:
> Hi all scikit-learn users,
>
> Suppose that we have the code like:
>
>
> for i in np.arange(size1):
> for j in np.arange(size1):
> if j!=i:
> t = 0.
>
Hi all scikit-learn users,
Suppose that we have the code like:
for i in np.arange(size1):
for j in np.arange(size1):
if j!=i:
t = 0.
for k in np.arange(size2):
for l in np.arange(size2):
t = t + np.sum
