back to home
MingchaoZhu / InterpretableMLBook
《可解释的机器学习--黑盒模型可解释性理解指南》，该书为《Interpretable Machine Learning》中文版
View on GitHub4,900 stars
680 forks
8 issues
AI Architecture Analysis
This repository is indexed by Codyn. By analyzing MingchaoZhu/InterpretableMLBook in our AI interface, you can instantly generate complete architecture diagrams, visualize control flows, and perform automated security audits across the entire codebase.
Our Agentic Context Augmented Generation (Agentic CAG) engine loads full source files into context on-demand, avoiding the fragmentation of traditional RAG systems. Ask questions about the architecture, dependencies, or specific features to see it in action.
Source files are only loaded when you start an analysis to optimize performance.
Embed this Badge
Showcase Codyn's analysis directly in your repository's README.
[](http://codyn.app/repo/MingchaoZhu/InterpretableMLBook)
Preview: