Project Repository for Interpretability of Machine Learning
- Practical Techniques for Interpreting Machine Learning Models : Introductory Open Source Examples Using Python, H2O, and XGBoost | Authored by Patrick Hall, Navdeep Gill, Mark Chan, Mountain View, California