What are some tools for explainable AI?
There are several tools for explainable AI, including LIME, SHAP, and InterpretML. Would you like to know more about any specific tool?
Can you explain how LIME works?
LIME, or Local Interpretable Model-agnostic Explanations, works by approximating the model locally with an interpretable model to explain individual predictions.
What about SHAP? How is it different from LIME?
SHAP, or SHapley Additive exPlanations, provides a unified measure of feature importance based on cooperative game theory, offering consistent and accurate explanations.
Are there any tools that integrate with popular machine learning frameworks?
Yes, tools like ELI5 and Alibi integrate well with frameworks like TensorFlow and PyTorch, making it easier to implement explainability.
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