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One big improvement for this project would be to somehow break out the model weights into an additional dependency, or file, to allow for very large models and
by wespiser_2018 8y ago
One big improvement for this project would be to somehow break out the model weights into an additional dependency, or file, to allow for very large models and separation between "code" and "data. Overall, pretty good, the alternative approach is either using the underlying C++ lib, or just doing some matrix math!
- darius_morawiec 8y agoThe package sklearn-porter supports the separation between inference (code) and model data (parameters) by passing `export_data=True` while transpiling the trained estimator.
- wespiser_2018 8y agoThanks, I'm coming over from R and will certainly check that out!