Sort Artifacts Across the Lifecycle
Classify model deployment artifacts by the lifecycle question they answer.
Sort each model-release artifact into the CRISP-DM lifecycle phase it primarily supports. Business understanding Data understanding Data preparation Modeling Evaluation Deployment Decision owner and target business KPI Training data coverage and collection window Feature transformation version and replay script Candidate model registry ID and training parameters Slice metrics for new customers and enterprise accounts Traffic ramp plan with rollback owner Data freshness profile for the live feature source Calibration comparison against the current production model On-call runbook and fallback route
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