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_Speeding_Python.ipynb
Hope this helps!
On Tue, Aug 5, 2014 at 4:32 PM, Bao Thien <[email protected]> wrote:
> sorry, A is also array of (size1, size2)
>
>
> On Tue, Aug 5, 2014 at 4:28 PM, Bao Thien <[email protected]> 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.
>> for k in np.arange(size2):
>> for l in np.arange(size2):
>> t = t + np.sum(A[i,k]*A[j,l]*X2[C[i,k],C[j,l]])
>>
>> tmp = tmp + (X1[i,j] - t)*(X1[i,j] - t)
>> return tmp
>>
>>
>> where X1 is the array of (size1, size1) and similar to X2 (size2, size2)
>> C is array of (size1, size2)
>>
>> I try to rewrite this code to reduce the computational time, but somehow
>> it does not success.
>>
>> If anyone can help me, it would be very appreciated
>>
>> Thank in advance.
>>
>> T.B
>>
>>
>
>
> --
> Nguyen Thien Bao
>
> NeuroInformatics Laboratory (NILab), Fondazione Bruno Kessler (FBK),
> Trento, Italy
> Centro Interdipartimentale Mente e Cervello (CIMeC), Universita degli
> Studi di Trento, Italy
> Surgical Planning Laboratory (SPL), Department of Radiology, BWH, Harvard
> Medical School, USA
> Email: bao at bwh.harvard.edu or tbnguyen at fbk.eu or ntbaovn at
> gmail.com
> Fax: +39.0461.283.091
> Cellphone: +1. 857.265.6408 (USA)
> +39.345.293.1006 (Italy)
> +84.996.352.452 (VietNam)
>
>
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--
Warm Regards
Yogesh Karpate
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