airflow-provider-mlflow

Apache Airflow provider for MLflow

Project description

An Apache Airflow provider to interact with MLflow using Operators and Hooks for the following:

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.

We follow Semantic Versioning for releases. Check CHANGELOG.rst for the latest changes.

This version

1.1.0

May 16, 2023

1.0.1

Apr 11, 2023

1.0.0

Apr 7, 2023

0.0.0a0 pre-release

Mar 10, 2023

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Uploaded May 16, 2023 Source

Uploaded May 16, 2023 Python 3

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