delay-model-gate-evaluator

Validate delay model gates by running contract checks and bucketed scorecards against HPWL baselines to verify model consistency and performance deltas across multiple datasets before active optimization.

A Gate-0 contract check verifies sign and consistency adherence before model promotion. It ensures the delay model meets baseline contract requirements, preventing inconsistent models from advancing to the next optimization stage.

Build bucketed scorecards by analyzing performance deltas across datasets with reliability metrics. This Gate-1 evaluation generates per-fold and per-dataset summaries suitable for audit and review to assess model uplift potential.

Yes, running delay model gate evaluations requires Python with numpy, pandas, scipy, and scikit-learn. The evaluation scripts under scripts/ and reference materials under references/ depend on these libraries to process datasets and interpret results.

Use contract checks for Gate-0 sign and consistency verification before promotion, and use bucketed scorecards for Gate-1 performance delta analysis and reliability assessment across datasets to determine active optimization readiness.