interpret
Fit interpretable models. Explain blackbox machine learning.
About this project
InterpretML ### In the beginning machines learned in darkness, and data scientists struggled in the void to explain them. ### Let there be light. InterpretML is an open-source package that incorporates state-of-the-art machine learning interpretability techniques under one roof. With this package, you can train interpretable glassbox models and explain blackbox systems. InterpretML helps you understand your model's global behavior, or understand the reasons behind individual predictions. Interpretability is essential for: — Model debugging - Why did my model make this mistake? — Feature Engineering - How can I improve my model? — Detecting fairness issues - Does my…
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