On 2015-08-18 21:37:41, Sebastian Raschka <[email protected]> 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 [email protected] https://lists.sourceforge.net/lists/listinfo/scikit-learn-general
