The integration lets you enjoy the best of both worlds: the tracking and reproducibility of MLflow with the organization and collaboration of Neptune.
Check the example project in Neptune: MLflow integration.
pip install neptune-mlflow
Sync your MLruns with Neptune¶
Navigate to the MLflow project in your directory and run:
neptune mlflow --project USER_NAME/PROJECT_NAME
Alternatively you can point to the MLflow project directory:
neptune mlflow /PATH/TO/MLflow_PROJECT --project USER_NAME/PROJECT_NAME
That’s it! You can now browse and collaborate on your MLflow runs in Neptune.