Azure Databricks

MLflow API

Track experiments, log metrics, and manage ML models using the MLflow tracking and registry APIs.

Documentation GitHub

Documentation

📖

Documentation

https://learn.microsoft.com/azure/databricks/mlflow/

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APIReference

https://docs.databricks.com/api/azure/workspace/experiments

API entry from apis.yml

name: MLflow API
description: Track experiments, log metrics, and manage ML models using the MLflow tracking and registry
  APIs.
baseURL: https://<databricks-instance>.azuredatabricks.net/api/2.0/mlflow
tags:
- Experiments
- Machine Learning
- Mlops
- Model Tracking
properties:
- type: Documentation
  url: https://learn.microsoft.com/azure/databricks/mlflow/
- type: APIReference
  url: https://docs.databricks.com/api/azure/workspace/experiments