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
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