<div>Dear admins,</div><blockquote class="protonmail_quote" type="cite"><div><br></div><div>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:<br></div><div><a href="https://stackoverflow.com/questions/59927368/how-to-distribute-sklearn-models-so-that-they-work-on-different-architectures?noredirect=1#59927368">https://stackoverflow.com/questions/59927368/how-to-distribute-sklearn-models-so-that-they-work-on-different-architectures?noredirect=1#59927368</a><br></div><div><br></div><div>I wondered if there was a recommended approach to mitigate this issue? I see there is sklearn-onyx (<a href="https://github.com/onnx/sklearn-onnx">https://github.com/onnx/sklearn-onnx</a>) is that something you would advise?<br></div><div><br></div><div>Any help would be greatly appreciated.<br></div><div><br></div><div>Kind regards,<br></div><div>Chris<br></div><div><br></div></blockquote><div>p.s. Apologies if this is a resend, I wasn't signed up to the list when I sent previously.</div><blockquote class="protonmail_quote" type="cite"><div><br></div><div class="protonmail_signature_block"><div class="protonmail_signature_block-user protonmail_signature_block-empty"><br></div><div class="protonmail_signature_block-proton">Sent with <a href="https://protonmail.com" target="_blank">ProtonMail</a> Secure Email.<br></div></div><div><br></div></blockquote><div><br></div>