reprocessing.normalize does not
> sum to 1
>
> The thing is that even if you did sum and divide by the sum, summing the
> results back may not lead to 1.0. This is always the "issue" in floating
> point computation.
>
> Cheers,
>
> Matthieu
>
> 2015-
Hi,
I have a very large dense numpy matrix. To avoid running out of RAM, I use
np.float32 as the dtype instead of the default np.float64 on my system.
When I do an L1 normalization of the rows (axis=1) in my matrix in-place
(copy=False), I frequently get rows that do not sum to 1. Since these