On 11/03/2011 06:10 PM, Peter Prettenhofer wrote: > Hi Andreas, > > can you run the following line and send me the results (assume your > data is stored in `X`):: > > print X.flags > train_data.flags C_CONTIGUOUS : True F_CONTIGUOUS : False OWNDATA : True WRITEABLE : True ALIGNED : True UPDATEIFCOPY : False
Seems reasonable to me. Thanks, Andy > 2011/11/3 Andreas Müller <[email protected]>: >> Hi folks. >> Today I ran across a segfault doing sgd multi class classification. >> I tracked the error down to sgd_fast but don't know how to proceed. >> My data has shape (50000, 13824) and is dense, the parameters >> of the classifier are: >> SGDClassifier(loss="hinge", penalty="l2") >> >> I ran it through scaler and the features seem to be in a reasonable >> range and there are no infs or nans. >> If I train only on the first 5000 of the 13824 features, I get >> reasonable results, for 6000 it segfaults. The features split >> into three parts of equal lenght and training on any of >> these parts works fine. >> >> My RAM is big and empty during the crash. >> >> Does anyone have any idea how to find the problem? >> >> Cheers, >> Andy >> >> ------------------------------------------------------------------------------ >> RSA(R) Conference 2012 >> Save $700 by Nov 18 >> Register now >> http://p.sf.net/sfu/rsa-sfdev2dev1 >> _______________________________________________ >> Scikit-learn-general mailing list >> [email protected] >> https://lists.sourceforge.net/lists/listinfo/scikit-learn-general >> > > ------------------------------------------------------------------------------ RSA(R) Conference 2012 Save $700 by Nov 18 Register now http://p.sf.net/sfu/rsa-sfdev2dev1 _______________________________________________ Scikit-learn-general mailing list [email protected] https://lists.sourceforge.net/lists/listinfo/scikit-learn-general
