シナリオ
A data platform team needs a relational schema to track ML experiments, training runs, metrics, datasets, model versions and monitoring alerts.
この図に含まれるもの
図の背後にある意思決定を読み解く。
01
Separate Run and ModelVersion to link training runs to registered model artifacts
02
Use a RunDataset join table to model many-to-many dataset usage across runs
03
Attach alerts to model versions for metric-threshold monitoring
Reusable for ML experiment tracking, model registry backends, and model monitoring dashboards.