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MolTrace · ML Model Factory
Train, evaluate, document, and review controlled ML/AI models from approved dataset versions.
Warning
Models trained in MolTrace require dataset-version tracking, evaluation, model cards, and human approval before use.
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Registered ML tasks available for training — task type, status, and configuration for each supported prediction objective.
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Recent ML training runs — task, dataset version, status, and metric summaries across all completed and in-progress runs.
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Recent model evaluation runs — artifact, status, and metric summary for each completed or in-progress evaluation.
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Model artifacts nominated for production deployment — approval status, task key, and review state for each candidate.
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Model health summary — scalar performance and drift indicators. Nested payloads are not expanded; approval and validation states always come from backend fields.
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Factory lists reflect operational signals from your tenant API. Release decisions follow your governance process; surface approval_status and related backend fields rather than UI assumptions.