Re: [Scikit-learn-general] ElasticnetCV crash on 64-bit Linux

Thanks again, everybody. Alexandre told me to try 0.16, and it does complete the job. That said, I also updated to build 1 of Python 2.7.8 (from conda) in the meantime (and also skl 0.15.1, but ran my own build from git), if that matters. Also, the conda build would support mkl, I think, while my

Re: [Scikit-learn-general] ElasticnetCV crash on 64-bit Linux

Thanks, John. I use 0.15.0b1, but I don't set alpha, now that I think of it (the default is not 0 though). Did you see the gist on the issue? On Fri, Aug 22, 2014 at 10:49 AM, John Mark Agosta < [email protected]> wrote: > Laszlo - > > What Sklearn version are you using? Elastic net i

Re: [Scikit-learn-general] ElasticnetCV crash on 64-bit Linux

Laszlo - What Sklearn version are you using? Elastic net in v 0.14.0 was significantly improved in v0.15 What alpha are you using? Sklearn is known to fail for alpha == 0. -jm __ John Mark Agosta 650 465-4707 [email protected] *"Unpredictable consequences are the most expected t

Re: [Scikit-learn-general] ElasticnetCV crash on 64-bit Linux

See https://github.com/scikit-learn/scikit-learn/issues/3584 FWIW: Now even the version that first seemed to complete (but I thought I lost output for an unrelated reason) crashes again with the same error. The only thing I changed was to call the script with stdbuf -oL python ….py > ….log O

Re: [Scikit-learn-general] ElasticnetCV crash on 64-bit Linux

Sorry for the update: but now one version of the job (same size, but different data) still failed with the OS failing to provide memory, even with n_jobs=8. The maximum RAM the job took was 119705224K, while it was allocated 240 GB. I am not sure how to make this reproducible for a bug report

Re: [Scikit-learn-general] ElasticnetCV crash on 64-bit Linux

Oh, Mailbox failed with the attachment, sorry, here it is. On Fri, Aug 22, 2014 at 8:43 AM, László Sándor wrote: > Sorry, Olivier, I am not sure I follow. In any case, I am happy to update > skl, I was only using the latest 64-bit Linux from the conda distro (though > using MKL wanted to downgr

Re: [Scikit-learn-general] ElasticnetCV crash on 64-bit Linux

Sorry, Olivier, I am not sure I follow. In any case, I am happy to update skl, I was only using the latest 64-bit Linux from the conda distro (though using MKL wanted to downgrade me to 0.14, I am pretty sure I precluded that). That said, maybe it’s good I did not file a proper bug report: Th

Re: [Scikit-learn-general] ElasticnetCV crash on 64-bit Linux

Thread based enet CV has been merged after the 0.15 release. -- Slashdot TV. Video for Nerds. Stuff that matters. http://tv.slashdot.org/___ Scikit-learn-general mailing list S

Re: [Scikit-learn-general] ElasticnetCV crash on 64-bit Linux

Thanks, I did not know if it was a proper bug, I did not dig very deep. This happened on 0.15.0b2. So what would be meaningful to try, and then report? On Fri, Aug 22, 2014 at 5:41 AM, Alexandre Gramfort wrote: > hi Laszlo, > thanks for using the bug tracker and not the ML to report issues. >

Re: [Scikit-learn-general] ElasticnetCV crash on 64-bit Linux

hi Laszlo, thanks for using the bug tracker and not the ML to report issues. Also avoid pasting raw text/code in emails but use services like gist.github.com what version of sklearn are you using? ElasticNetCV uses threads in v0.15 so the memory problem should not happen anymore. Alex On Fri,

[Scikit-learn-general] ElasticnetCV crash on 64-bit Linux

Hi, OS denied me memory upon running CV in the script below. I am still investigating whether it was a mistake of the scheduler on the server, but I think the process had access to 240 GB memory but reproducibly crashes upon using 120035176K with the error message below. I paste my conda info outp