Databricks MLflow Model Registry Webhooks Client
Project description
Databricks Model Registry Webhooks enable you to automate and integrate your machine learning pipelines with a variety of CI/CD tools and workflows. Databricks Model Registry Webhooks integrate with the Databricks MLflow Model Registry to provide event-based triggers for Model Registry actions, such as the creation of a new model or the transition of a model version into production.
Use cases for Databricks Model Registry Webhooks include triggering CI builds when a new model version is created, notifying team members each time a model transition to production is requested, and much more.
This package provides a Python client for managing Databricks Model Registry Webhooks. For more information about the feature and Python client usage, explore the documentation at https://docs.databricks.com/applications/mlflow/model-registry-webhooks.html.
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