See https://github.com/scikit-learn/scikit-learn/issues/1596
On 19 August 2015 at 16:35, Joel Nothman <joel.noth...@gmail.com> wrote: > Frequently the suggestion of supporting PMML or similar is raised, but > it's not clear whether such models would be importable in to scikit-learn, > or how to translate scikit-learn transformation pipelines into its notation > without going mad, etc. Still, even a library of exporters for individual > components would be welcome, IMO, if someone wanted to construct it. > > On 19 August 2015 at 15:08, Sebastian Raschka <se.rasc...@gmail.com> > wrote: > >> Oh wow, thanks for the link, I just skimmed over the code, but this is an >> interesting idea snd looks like the sort of thing that would make my life >> easier in future. I will dig into that! That’s great, thanks! >> >> >> > On Aug 19, 2015, at 12:58 AM, Stefan van der Walt <stef...@berkeley.edu> >> wrote: >> > >> > On 2015-08-18 21:37:41, Sebastian Raschka <se.rasc...@gmail.com> >> > wrote: >> >> I think for “simple” linear models, it would be not a bad idea >> >> to save the weight coefficients in a log file or so. Here, I >> >> think that your model is really not that dependent on the >> >> changes in the scikit-learn code base (for example, imagine that >> >> you trained a model 10 years ago and published the results in a >> >> research paper, and today, someone asked you about this >> >> model). I mean, you know all about how a logistic regression, >> >> SVM etc. works, in the worst case you just use those weights to >> >> make the prediction on new data — I think in a typical “model >> >> persistence” case you don’t “update” your model anyways so >> >> “efficiency” would not be that big of a deal in a typical “worst >> >> case use case”. >> > >> > Agreed—this is exactly the type of use case I want to support. >> > Pickling won't work here, but using HDF5 like MNE does would >> > probably be close to ideal (thanks to Chris Holdgraf for the >> > heads-up): >> > >> > https://github.com/mne-tools/mne-python/blob/master/mne/_hdf5.py >> > >> > 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 >> > >
------------------------------------------------------------------------------
_______________________________________________ Scikit-learn-general mailing list Scikit-learn-general@lists.sourceforge.net https://lists.sourceforge.net/lists/listinfo/scikit-learn-general
