mlflow not being an optional lin
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@@ -93,12 +93,6 @@ mlflow:
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tracking_server_name: your-tracking-server-name
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```
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Install the optional MLflow dependencies before enabling MLflow:
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```bash
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uv sync --extra mlflow
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```
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When MLflow is enabled, `train start` creates an MLflow run for the SageMaker job. `train status` finalizes that run once the job reaches a terminal state and registers completed model artifacts as pre-release model versions using the `prerelease-latest` MLflow alias.
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To open the managed SageMaker MLflow UI, request a fresh presigned URL:
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