Of course... Give me some hours. El 19/07/2016 10:52, "Heiko Strathmann" <[email protected]> escribió:
> Great to hear! > Shogun should, however, not segfault in such cases, but rather tell you > that the labels are missing. > Can you reproduce this in a minimal example and post and issue on github? > > Thanks! > H > > 2016-07-19 0:20 GMT+01:00 nacho arroyo <[email protected]>: > >> Hi Heiko, >> >> I had problems with my labels. After observing the files I have found >> several of them were missing. I corrected this problem and now all is >> working. >> >> Thank you very much for your support. >> >> 2016-07-14 17:41 GMT+02:00 Heiko Strathmann <[email protected]>: >> >>> Hi! >>> >>> Can you share some more concrete information? >>> E.g. the script to re-produce this problem? >>> >>> Did you try some standard KRR or SVR to see how the memory behaves? >>> Should be ok as it is not THAT big. >>> >>> H >>> >>> 2016-07-14 13:24 GMT+01:00 nacho arroyo <[email protected]>: >>> >>>> Hi all, >>>> >>>> I have some problems trying to train MKLRegression with a dataset of >>>> {13000 for train, 10000 for test} 20-dimensional real dense samples. >>>> >>>> The given error is: >>>> >>>> Segmentation fault (core dumped) >>>> >>>> When smaller a smaller dataset (e.g. of 30 20-dimensional real dense >>>> samples), there are not problems. >>>> >>>> Some suggestions? in the case of memory issues, maybe there is memory >>>> management Shogun routine/tutorial? >>>> >>>> Im using a 24-core 64Gb-ram machine with ubuntu 14.04 >>>> I don't know how to know the Shogun version I have installed, but I >>>> cloned from gitHub on Jan 12/2016. >>>> >>>> Thank you very much. >>>> >>>> -- >>>> *Ignacio Arroyo-Fernández* >>>> >>> >>> >> >> >> -- >> *Ignacio Arroyo-Fernández* >> > >
