Works exactly as you described on my machine (which doesn't mean much
because it's relatively close to yours, but I am just too enthusiastic
about this not to reply! \o/)

Memory usage is as expected. I see a speedup in train time but a
slight slowdown in test time (1.7 vs 1.0), is it expected or probably
an artefact?

Cheers,
Vlad


On Fri, Dec 20, 2013 at 7:31 PM, Olivier Grisel
<[email protected]> wrote:
> I released joblib 0.8.0a and open a pull request to upgrade joblib and
> use the new threading backend when fitting forests in parallel:
>
>   https://github.com/scikit-learn/scikit-learn/pull/2681
>
> For instance if you run:
>
> python benchmarks/bench_covertype.py --classifiers=ExtraTrees --n-jobs=4
>
> You should now see a single Python process using more than 350% CPU on
> a 4+ core machine.
>
> --
> Olivier
>
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