InterpretML is an open-source python package for training interpretable machine learning models and explaining blackbox systems. Interpretability is essential for: • Model debugging - Why did my model make this mistake? • Detecting bias - Does my model discriminate? • Human-AI cooperation - How can I understand and trust the model's decisions? • Regulatory compliance - Does my model satisfy legal requirements? • High-risk applications - Healthcare, finance, judicial, ...

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