9

A/B Testing for ML

Sample Sizes, Guardrail Metrics, and Thompson Sampling

+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