I suspect supporting PMML import is a separate and low-priority project. Higher priority is support for transformers (in pipelines / feature unions), other predictors, and tests that verify the model against an existing PMML predictor.
On 21 August 2015 at 01:37, Dale Smith <dsm...@nexidia.com> wrote: > Package sklearn_pmml appeared on github: > > https://github.com/alex-pirozhenko/sklearn-pmml > > It's still in the early stages. I have yet to experiment with it, and I > don't think it supports pmml import. > > Dale Smith, Ph.D. > Data Scientist > > > > d. 404.495.7220 x 4008 f. 404.795.7221 > Nexidia Corporate | 3565 Piedmont Road, Building Two, Suite 400 | Atlanta, > GA 30305 > > > > > -----Original Message----- > From: Alexandre Gramfort [mailto:alexandre.gramf...@m4x.org] > Sent: Thursday, August 20, 2015 4:28 AM > To: scikit-learn-general > Subject: Re: [Scikit-learn-general] Persisting models > > hi, > > > 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 > > For your info Eric Larson has put the file in a separate project to make > it easier to improve and reuse. > > https://github.com/h5io/h5io > > Alex > > > ------------------------------------------------------------------------------ > _______________________________________________ > 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 >
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