解读 LIME 解释

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参考文献

Why Should I Trust You? Explaining the Predictions of Any Classifier, Marco Tulio Ribeiro, Sameer Singh, Carlos Guestrin, 2016 KDD '16: Proceedings of the 22nd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (ACM) DOI: 10.1145/2939672.2939778 - 介绍了LIME算法及其理论基础，以及生成和解释局部、模型无关解释的方法。
Interpretable Machine Learning: A Guide for Making Black Box Models Explainable, Christoph Molnar, 2024 (Christoph Molnar) - 提供关于LIME的详细且易于理解的章节，涵盖其机制、如何解释各种数据类型的输出，以及其优点和局限性。
Practical Interpretable Machine Learning: Master the Art of XAI, Sergiy Karayev, Gigi Tang, Josh S. Taylor, and Michelle T. Lee, 2020 (O'Reilly Media) - 提供了应用和解释LIME的实践见解，附带真实世界场景的示例和考量。
Anchors: High-Precision Model-Agnostic Explanations, Marco Tulio Ribeiro, Sameer Singh, Carlos Guestrin, 2018 AAAI '18: Proceedings of the 32nd AAAI Conference on Artificial Intelligence, Vol. 32 (Association for the Advancement of Artificial Intelligence) DOI: 10.1609/aaai.v32i1.11491 - 讨论了LIME中局部线性假设的局限性，并提出了Anchors作为高精度替代方案，从而增强了对LIME范围和可靠性的理解。