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Start controlled training runs against approved or explicitly experimental dataset versions.
model_artifact_id. Every run still requires evaluation before deployment decisions.Launch a supervised ML training run against a curated knowledge dataset version. Only dataset IDs and hyperparameters are sent — no raw data payload.
ML training run history — status, metrics, and artifact IDs for each completed or in-progress run. Artifact IDs appear when the backend reports success.
Labels: training complete aligns with status === succeeded; model artifact created when model_artifact_id is present; requires evaluation for downstream release checks.
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