I would still say the best way to go is joblib (because of the NumPy arrays). But I would also be interested in better alternatives (if there are any?).
PS: One caveat: joblib didn’t work well for me in the past when I was deploying it on Apache servers for webapps on “cheap”, hosted server racks such as BlueHost or even Pythonanywhere. I am not sure why exactly this is, maybe the hardware architecture. Here I just used regular (c)Pickle and it worked. Best, Sebastian > On Aug 18, 2015, at 6:18 PM, Stefan van der Walt <stef...@berkeley.edu> wrote: > > Hi all, > > What, currently, is the recommended way for storing trained models > to disk for later use? > > Regards > Stéfan > > ------------------------------------------------------------------------------ > _______________________________________________ > Scikit-learn-general mailing list > Scikit-learn-general@lists.sourceforge.net > https://lists.sourceforge.net/lists/listinfo/scikit-learn-general ------------------------------------------------------------------------------ _______________________________________________ Scikit-learn-general mailing list Scikit-learn-general@lists.sourceforge.net https://lists.sourceforge.net/lists/listinfo/scikit-learn-general
