[Numpy-discussion] Optimized sum of squares (was: vectorized version of logsumexp? (from scipy.maxentropy))
Sun Oct 18 02:57:32 CDT 2009
On Sat, Oct 17, 2009 at 07:27:55PM -0400, email@example.com wrote:
> >> > Why aren't you using logaddexp ufunc from numpy?
> >> Maybe because it is difficult to find, it doesn't have its own docs entry.
Speaking of which...
I thought that there was a readily-written, optimized function (or ufunc)
in numpy or scipy that calculated the sum of squares for an array
(possibly along an axis). However, I cannot find it.
Is there something similar? If not, it is not the end of the world, the
operation is trivial to write.
More information about the NumPy-Discussion