Ludwig provides an extendable interface to integrate with third-party systems. To activate a particular integration, simply insert its flag into the command line. Each integration may have specific requirements and use cases.
--aim - complete experimentation trackings with configuration, metadata, hyperparameters, losses and terminal logs.
In order to see and end to end Aim-Ludwig training and tracking example please refer to our demo.
For more details about Aim refer to the documentation.
Weights & Biases¶
--mlflow - logs training metrics, hyperopt parameters, output artifacts, and trained models to
MLflow. Set the environment variable
MLFLOW_TRACKING_URI to log results to a remote tracking
Add more integrations¶
For more information about integration contributions, please see the Developer Guide.