On the AWS environment, what do you suggest: Sagemaker Model Registry or MLFlow?
If we want to use grid search to experiment with different configurations and log all experiments to then decide which model to use, should we go for MLflow, or is Model Registry able to do it all?
Can we use UI to change the Deployment Status?
Best practices