Ryan Majidimehr has a changelog for us:
Full support for MLflow
MLflow is a platform for managing the machine learning lifecycle and streamline machine learning development, including tracking experiments, packaging code into reproducible runs, and sharing and deploying models. We are very happy to announce that SynapseML models now integrates with MLflow with full support for saving, loading, deployment, and autologging!
To learn more, read MLflow in SynapseML getting started guide and SynapseML Autologging.
There are quite a few changes on this list, so they’ve definitely been busy.