Overview

The Intel® Explainable AI Tools are designed to help users detect and mitigate against issues of fairness and interpretability, while running best on Intel hardware. There are two Python* components in the repository:

• Model Card Generator

  • Creates interactive HTML reports containing model performance and fairness metrics

• Explainer

  • Runs post-hoc model distillation and visualization methods to examine predictive behavior for both TensorFlow* and PyTorch* models via a simple Python API including the following modules:

    • Attributions: Visualize negative and positive attributions of tabular features, pixels, and word tokens for predictions

    • CAM (Class Activation Mapping): Create heatmaps for CNN image classifications using gradient-weight class activation CAM mapping

    • Metrics: Gain insight into models with the measurements and visualizations needed during the machine learning workflow

*Other names and brands may be claimed as the property of others. Trademarks