# 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.
