Metadata-Version: 2.1
Name: databricks-registry-webhooks
Version: 0.1.2
Summary: Databricks MLflow Model Registry Webhooks Client
Home-page: https://docs.databricks.com/applications/mlflow/model-registry-webhooks.html
Author: Databricks
License: Apache License 2.0
Project-URL: Documentation, https://docs.databricks.com/applications/mlflow/model-registry-webhooks.html
Description: ================================================
        Databricks MLflow Model Registry Webhooks Client
        ================================================
        
        `Databricks Model Registry Webhooks <https://docs.databricks.com/applications/mlflow/model-registry-webhooks.html>`_ 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 <https://databricks.com/product/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.
        
Keywords: ml ai databricks mlops mlflow model registry webhooks triggers cicd events
Platform: UNKNOWN
Classifier: Intended Audience :: Developers
Classifier: Programming Language :: Python :: 3.7
Requires-Python: >=3.7
Description-Content-Type: text/x-rst
