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

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