# References

Bundled resources for model-explainability-tool skill

- [ ] shap_documentation.md: Documentation for the SHAP library, including usage examples and API reference.
- [ ] lime_documentation.md: Documentation for the LIME library, including usage examples and API reference.
- [ ] model_explanation_best_practices.md: A guide to best practices for explaining machine learning models, including fairness considerations and interpretability metrics.
- [ ] example_model_schema.json: Example schema for the machine learning model input data.