One alternative to loading models in .py scripts is making use of joblib's dump() and load() methods for pipelines. https://joblib.readthedocs.io/en/latest/gene

One alternative to loading models in .py scripts is making use of joblib's dump() and load() methods for pipelines. https://joblib.readthedocs.io/en/latest/generated/joblib.dump.html https://joblib.readthedocs.io/en/latest/generated/joblib.dum.... That way, if you put your classifiers in joblib pipelines, once you're done with fitting steps you can just export your trained classifier with: joblib.dump(pipe, "trained_classifier.dump") And resume your work with: joblib.load("trained_classifier.dump") Considering this works for any Python object, a lot of heavy lifting can be exported for later (swift) use this way.