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 <[email protected]> wrote:
> Thank you very much Yogesh :)
>
>
> On Tue, Aug 5, 2014 at 4:42 PM, Yogesh Karpate <[email protected]>
> 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 (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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>
>
> --
> 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)
>
>
> ------------------------------------------------------------------------------
> Infragistics Professional
> Build stunning WinForms apps today!
> Reboot your WinForms applications with our WinForms controls.
> Build a bridge from your legacy apps to the future.
>
> http://pubads.g.doubleclick.net/gampad/clk?id=153845071&iu=/4140/ostg.clktrk
> _______________________________________________
> Scikit-learn-general mailing list
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> https://lists.sourceforge.net/lists/listinfo/scikit-learn-general
>
>
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