A few contribution highlights of this release (in chronological order)
- Better testing courtesy of @jorgecarleitao
- Image plot customizations courtesy of @verdimrc
- Batch norm support for PyTorch in DeepExplainer courtesy of @JiechengZhao
- Leaky ReLU and other conv layer support for pytorch deep explainer courtesy of @gabrieltseng
- Fixed keras multi input in gradient explainer and improved random seeds courtesy of @moritzaugustin
- Support for catBoost ranker courtesy of @doramir
- Added XGBRanker and LGBMRanker to TreeExplainer courtesy of @imatiach-msft
- Fix embedding lookup with tf.keras in DeepExplainer courtesy of @andriy-nikolov
- Custom dependence_plot colors maps courtesy of @rcarneva
- Fix divide by zero issues possible with CatBoost models courtesy of @dvpolyakov
- Lots of other bug fixes/improvements!