I recreated it with some fake data, here's a short gist to show what I'm
talking about:
http://nbviewer.ipython.org/gist/choldgraf/6a7be7866f2a3a3d3f98
On Fri, Oct 10, 2014 at 1:29 PM, Chris Holdgraf <choldg...@berkeley.edu>
wrote:
> Yes - this is with the latest scikit-learn. Also, I'm using n_jobs==1, so
> there shouldn't be any memmapping anyway, right?
>
>
> Which version of scikit-learn? Have you tried with 0.15.2?
>
> Your data should automatically get memory mapped to share some input
> data with the 'n_jobs' worker processes.
>
> --
> Olivier
>
>
>
> --
> _____________________________________
>
> PhD Candidate in Neuroscience | UC Berkeley <http://hwni.org/>
> Editor and Web Master | Berkeley Science Review
> <http://sciencereview.berkeley.edu/>
> _____________________________________
>
--
_____________________________________
PhD Candidate in Neuroscience | UC Berkeley <http://hwni.org/>
Editor and Web Master | Berkeley Science Review
<http://sciencereview.berkeley.edu/>
_____________________________________
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