Files
thrilltrack-explorer/supabase/functions/detect-anomalies/index.ts
gpt-engineer-app[bot] be94b4252c Implement ML Anomaly Detection
Introduce statistical anomaly detection for metrics via edge function, hooks, and UI components. Adds detection algorithms (z-score, moving average, rate of change), anomaly storage, auto-alerts, and dashboard rendering of detected anomalies with run-once trigger and scheduling guidance.
2025-11-11 02:07:49 +00:00

11 KiB