How to infer the online feature store table via an mlflow registered model, which is deployed to a sagemaker endpoint?
Can an mlflow registered model automatically infer the online feature store table, if that model is trained and logged via a databricks feature store table and the table is pushed to an online feature store (like AWS RDS)?
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