autogluon-model-review

The sequential audit loop covers Sections A through H to identify blockers, risks, and corrective actions in your AutoGluon pipeline. It reviews model config, audits pipeline scaffolds, and verifies training gate enforcement without executing training.

The resolution and commit-gate workflow ensures safe, auditable changes by enforcing gates prior to deployment. It prohibits cloud promotion and model training, requiring corrective actions from the audit loop to be resolved before committing.

The audit explicitly prohibits model training and cloud promotion. It focuses entirely on reviewing configuration correctness, gating controls, horizon and specialist structures, and Phase 5 readiness through pre-flight checks and sequential audit loops.

You need an AutoGluon training pipeline configured for ZINC Fusion V16 within Python or fusion environments. The audit validates configuration correctness, gating controls, horizon and specialist structures, and Phase 5 readiness without requiring active model training.