Databricks

Databricks Model Registry API

The Databricks Model Registry API provides the workspace model registry for managing the full lifecycle of ML models. It enables creating registered models, managing model versions, transitioning stages, and setting permissions for collaborative model governance and deployment.

Documentation GitHub

Documentation

📖

Documentation

https://docs.databricks.com/api/workspace/modelregistry

API entry from apis.yml

aid: databricks:model-registry-api
name: Databricks Model Registry API
tags:
- Machine Learning
- MLflow
- Model Registry
humanURL: https://docs.databricks.com/api/workspace/modelregistry
properties:
- url: https://docs.databricks.com/api/workspace/modelregistry
  type: Documentation
description: The Databricks Model Registry API provides the workspace model registry for managing the
  full lifecycle of ML models. It enables creating registered models, managing model versions, transitioning
  stages, and setting permissions for collaborative model governance and deployment.