On Wed, Nov 28, 2012 at 5:02 PM, Peter Prettenhofer <
[email protected]> wrote:
>
> if the input data is float64 you need to take conversion to float32
> into account; furthermore sklearn will convert to fortran layout ->
> this will give a huge penalty in memory consumption.
>
In my experience both things (memory consumption because
of float64 and float32 duplication and overhead of fortran reshuffling) are
relevant only for toy problems (or uninteresting micro benchmarks).
Paolo
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