Introducing **XWhy**, the first draft release of our Python package! This package aims to eXplain Why with <b>SMILE</b> -- Statistical Model-agnostic Interpretability with Local Explanations for deep learning/machine learning classifiers, regressors and ranker models.
In this release, we've focused on implementing the core functionality and making sure it works as expected. We're excited to get feedback from the community on how we can improve and make [package name] even better.
Here's what's included in this first draft:
- Draft functions of explainability for tabular, image, text and graph-based inputs and models.
We're actively developing this package and will be releasing updates with new features and bug fixes in the near future. In the meantime, please feel free to open an issue on GitHub if you find a bug or have any suggestions.
Thank you for trying **XWhy**! We hope you find it useful.