New Features
- ShapUI: a user interface to explore and compare impact scores of model predictions for each record of a tabular data set and discover insights of a model's behavior.
- Added info panel feature with text descriptions designed to help user with interpreting graphs
Jupyter Notebooks
- Added notebook to benchmark
PartitionExplainer() in AI Kit environment against basic Python environment.
Bug fixes
- Improved consistency of code between explainer
visualize methods
- Split TensorFlow* implementations from PyTorch implementation for both Explainer and Model Card Generator
- Fixes to links in documentation
- Improve test coverage for Explainer's attributions module
- Documented how to use Model Card Generator with multiple TF records
- Improved compatibility for dependencies on Python 3.9
- Moved Model Card Generator Notebooks to common directory as Explainer
- Simplified directory structure
- Fixed tests dependence on UCI Machine Learning dataset URL
Validated configuration
- Ubuntu 22.04 LTS
- Python 3.9
- Intel® Optimization for TensorFlow 2.12.0
- PyTorch 1.13.1
- Torchvision 0.14.1
- TensorFlow Hub 0.13.0
Known limitations
- Intel® Explainable AI Tools is only supported on Python 3.9
GitHub pages:
https://intelai.github.io/intel-xai-tools/v0.5.0/
