last highlighted date: 2024-02-20
Highlights
- If you change the architecture of your ML model, you may face more scrutiny but just be sure to prove that the decision made sense, your performance hasn’t gotten worse and you haven’t made the risk profile of your software worse.
- Notified bodies currently classify a machine learning model update as a significant change. You need to re-do your verification of your new model (e.g. do some testing with a test set and document the results).
- Active learning models which change their weights during deployment are currently not allowed.