Who Notices When Your ML Model Dies in Production? — Drift Detection & Auto-Retrain Pipeline
中文摘要
介绍一个结合PSI、KS检验、FastAPI和MLflow的端到端MLOps架构，实现模型漂移检测与自动重训。
English Summary
An end-to-end MLOps architecture using PSI, KS tests, FastAPI, Prometheus, and MLflow for model drift detection and auto-retraining.
Original Excerpt
An end-to-end mini MLOps architecture with PSI + KS tests, FastAPI, Prometheus, MLflow, and auto-retrain Continue reading on Medium »