Installation Manual – Tracking Server


DetaBord is providing a managed mlflow service and is using mlflow server as the tracking server. Please refer to the mlflow documentation for installation instructions:


Experiments and runs are persisted through mlflow’s backend store. Metrics and artificats, including logs, query results and machine learning models are stored in mlflow’s artifact root location. Therefore you need to specify these two parameters when starting the mlflow server:

mlflow server --backend-store-uri <PATH> --default-artifact-root <URI>

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