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References

Bundled resources for experiment-tracking-setup skill

  • mlflow_api_reference.md Detailed documentation of the MLflow API, including logging parameters, metrics, and artifacts.
  • wandb_api_reference.md Detailed documentation of the Weights & Biases API, including logging parameters, metrics, and artifacts.
  • experiment_tracking_best_practices.md A guide to best practices for experiment tracking, including naming conventions, metric selection, and artifact storage.
  • supported_libraries.md List of supported ML libraries and their integration with MLflow and W&B.