Stefan, I have no experience with this problem in particular since I am not pickling objects that often. However, I deployed a webapp some time ago on Pythonanywhere (http://raschkas.pythonanywhere.com <http://raschkas.pythonanywhere.com/>) and meanwhile they upgraded their scikit-learn module; I was curious and just checked it out: it seems that it still works. Wich pickle protocol are you using?
> On Aug 18, 2015, at 11:38 PM, Stefan van der Walt <stef...@berkeley.edu> > wrote: > > On 2015-08-18 20:26:15, JAGANADH GOPINADHAN <jagana...@gmail.com> > wrote: >> Use joblib or pickle to achieve this > > Any method that relies on pickle is broken when you upgrade > scikit-learn or move to a different system. I would like to > persist models for as long as possible; thus having to deal with > pickling errors, which don't allow you to easily extract > coefficients in the case when the model cannot be loaded, is not > an option. > > Stéfan > > ------------------------------------------------------------------------------ > _______________________________________________ > Scikit-learn-general mailing list > Scikit-learn-general@lists.sourceforge.net > https://lists.sourceforge.net/lists/listinfo/scikit-learn-general
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