machine-learning
The Replay Lab Pattern: How We Train Scoring Models by Re-Running Historical Decisions
Every scoring pipeline starts optimistic. You hand-tune some weights, eyeball a few outputs, ship it. Three weeks later someone asks, "Is the new version actually better?" and you realize you have no way to answer that question without waiting another three weeks for fresh data. At Ledd Consulting,