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
