9
A/B Testing for ML
+100 XP5 min9 / 10
Overview: A/B Testing for ML
Overview: A/B Testing for ML
Thompson Sampling (multi-armed bandit) automatically allocates more traffic to the winning variant — no waiting for a fixed test to end. But guardrail metrics (latency, cost, error rate) must NEVER degrade — auto-rollback fires if ANY guardrail breaches, regardless of primary metric improvement.
1 of 3