SHAP in Production: Scaling Without Killing Latency

SHAP explanations can add 800ms to a 40ms prediction path. TreeSHAP exploits tree structure for exact, fast values, while KernelSHAP is slow. Caching explanations by feature vector and model version, plus async or batch computation, cuts live SHAP compute significantly.