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How to start the mlflow ui

  • Create a classic personal access token in your github developer settings (it only needs the read packages permission) and paste it to .env
  • Add the aws key id and secrret and the bucket name to the .env file
  • Run 'make start_mlflow_ui' to init and start the docker container
  • Run 'sync_mlflow_ui' to sync your local changes with the database. Deletions of any kind are disabled.
  • Access the mlflow ui at localhost:4444
  • Run 'make stop_mlflow_ui' to stop the docker container
  • Run 'make 'remove_mlflow_ui' to delete the docker container and the image