Apache Airflow provider for MLflow
Project description
An Apache Airflow provider to interact with MLflow using Operators and Hooks for the following:
Registry
Deployments
Pyfunc
https://mlflow.org/docs/latest/index.html
Quick Start
Install and update using pip:
pip install airflow-provider-mlflow
Setting up Connections:
Connection Type: HTTP
- Local MLflow
Host: http://localhost (if running Airflwo in docker: http://host.docker.internal)
Port: 5000
- Hosted with Username/Password
Connection Type: HTTP
Host: Your MLflow host URL
Login: Your MLflow username
Password: Your MLflow password
- Databricks
Host: Your Databricks host URL (https://<instance-name>.cloud.databricks.com)
Login: ‘token’
Password: Your Databricks token
Examples can be found in the example_dags directory of the repo.
Changelog
We follow Semantic Versioning for releases. Check CHANGELOG.rst for the latest changes.
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