MindSpore XAI Documents

Currently, most deep learning models are black-box models with good performance but poor explainability. The MindSpore XAI - a MindSpore-based explainable AI toolbox - provides a variety of explanation and decision methods to help you better understand, trust, and improve models. It also evaluates the explanation methods from various dimensions, enabling you to compare and select methods best suited to your environment.

Installation

• MindSpore XAI Installation

Guide

• Using CV Explainers
• Using CV Benchmarks
• Using Tabular Explainers
• Using TabSim Data Simulator
• Using TB-Net Whitebox Recommendation Model

API References

• mindspore_xai.explainer
• mindspore_xai.benchmark
• mindspore_xai.tool

FAQ

• Troubleshooting