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-mlflowSetting 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.
License
1 maintainer
Metadata
1 maintainer
Release files for airflow-provider-mlflow 1.1.0
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| airflow-provider-mlflow-1.1.0.tar.gz | 14.2 kB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| airflow_provider_mlflow-1.1.0-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 32.3 kB
Release files / airflow-provider-mlflow-1.1.0.tar.gz
| Download URL | airflow-provider-mlflow-1.1.0.tar.gz |
|---|---|
| Size | 14.2 kB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
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| Upload date | |
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Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/4.0.1 CPython/3.11.3
|
Release files / airflow_provider_mlflow-1.1.0-py3-none-any.whl
| Download URL | airflow_provider_mlflow-1.1.0-py3-none-any.whl |
|---|---|
| Size | 18.2 kB |
| Tags | Python 3 |
|
SHA-256 checksum How to use checksums |
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BLAKE2b-256 checksum How to use checksums |
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| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/4.0.1 CPython/3.11.3
|
