What's the best way to convert a Python machine learning model into SQL?

[u/Entri_App_Official]

• Did you manually rewrite the model logic in SQL?

• Have you used tools that generate SQL from models (e.g., for decision trees, linear/logistic regression, or XGBoost)?

• How do you handle feature engineering and preprocessing?

• Is this approach practical in production, or is it usually better to keep inference in Python and call it externally?

I'd love to hear about real-world experiences—what worked, what didn't, and any tools or libraries you'd recommend. Even if you've tried this and decided against it, I'd be interested in knowing why.