mle-workflow

【部署与运维】Production machine-learning engineering workflow for data contracts, reproducible training, model evaluation, deployment, monitoring, and rollback. Use when building, reviewing, or hardening ML systems beyond one-off notebooks.

独立 GitHub 快照 · 自动分类 · 以原作者文档为准