Operationalize machine learning models (MLOps)

The MLflow model and the target deployment configuration, without a custom entry script or environment

The originating training notebook and an MLflow model stage

A batch scoring script and a pointer to the online endpoint URI

The MLflow model, a mandatory score.py entry script, and a mandatory Conda environment

Only a Docker image, without referencing the registered model