Our users are asking why a model made a specific prediction. We don't have a good answer. How do you integrate explainability tools like SHAP or LIME into a production pipeline? Is it possible to generate an explanation alongside every prediction in real-time? How does this impact the overall system latency and cost? I am curious about the feasibility.
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