To manage models in Azure Databricks, click Models in the sidebar. The Model Registry UI appears.
MLflow Model Registry on Azure Databricks is a centralized model repository and a UI and set of APIs that enable you to manage the full lifecycle of MLflow Models.
Azure Databricks also provides MLflow Model Serving, which allows you to host machine learning models from Model Registry as REST endpoints that are updated automatically based on the availability of model versions and their stages.
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