Yes, ONNX is an appropriate solution when exporting models for prediction. See http://scikit-learn.org/stable/modules/model_persistence.html
On Tue, 28 Jan 2020 at 23:03, Christopher.samiullah via scikit-learn < scikit-learn@python.org> wrote: > Dear admins, > > > I recently encountered an issue attempting to load a model persisted via > joblib dump on different Python architectures. I wrote up the issue here on > stackoverflow: > > https://stackoverflow.com/questions/59927368/how-to-distribute-sklearn-models-so-that-they-work-on-different-architectures?noredirect=1#59927368 > > I wondered if there was a recommended approach to mitigate this issue? I > see there is sklearn-onyx (https://github.com/onnx/sklearn-onnx) is that > something you would advise? > > Any help would be greatly appreciated. > > Kind regards, > Chris > > p.s. Apologies if this is a resend, I wasn't signed up to the list when I > sent previously. > > > > Sent with ProtonMail <https://protonmail.com> Secure Email. > > > _______________________________________________ > scikit-learn mailing list > scikit-learn@python.org > https://mail.python.org/mailman/listinfo/scikit-learn >
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