A Unified Approach to Interpreting Model Predictions (SHAP)

Unified LIME, DeepLIFT, and Layer-wise Relevance Propagation under game-theoretic Shapley values (SHAP), proving it is the unique attribution method satisfying local accuracy and consistency.

Serves as qualified reference for implementing task-model-explainability in production systems.

Assumptions

• Underlying computational topology and mathematical bounds adhere to established convexity/smoothness guarantees

Limitations

• Hardware runtime speedups, privacy budgets, and convergence depend on hyperparameters and network communication limits