Stop Using Blind MLOps Retraining Schedules: The “Shock” Reality
Stop setting MLOps Retraining Schedules like a simple cron job. Most production ML models don’t decay smoothly—they suffer “shocks.” If your model’s R² fit is below 0.4, your calendar schedule is likely useless. Learn why episodic shock detection is the pragmatic fix for maintaining model accuracy in real-world environments.