Neptune-MLflow Integration¶
Neptune-mlflow is an open source project curated by Neptune team that enables MLflow experiment runs to be hosted in Neptune.
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.
Installation¶
pip install neptune-mlflow
Sync your MLruns with Neptune¶
Set your
NEPTUNE_API_TOKEN:
Linux/IOS:
export NEPTUNE_API_TOKEN='YOUR_NEPTUNE_API_TOKEN'
Windows:
set NEPTUNE_API_TOKEN="YOUR_NEPTUNE_API_TOKEN"
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 WORKSPACE_NAME/PROJECT_NAME
That’s it! You can now browse and collaborate on your MLflow runs in Neptune.
