docs/setup: support SageMaker Managed MLflow as a tracking backend#24
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jiahaoli97 wants to merge 1 commit into
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docs/setup: support SageMaker Managed MLflow as a tracking backend#24jiahaoli97 wants to merge 1 commit into
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SageMaker Managed MLflow exposes MLflow via a resource ARN tracking URI, which requires the `sagemaker-mlflow` plugin (registers the `arn` scheme). Add it as a backend option alongside Databricks/local: - setup-guide.md: document `pip install sagemaker-mlflow` (Step 1) and the ARN tracking URI forms (Step 2.1). - setup_mlflow.py: add ensure_backend_plugin() to fail fast with a clear install hint when an arn:aws:sagemaker URI is used without the plugin. Backwards compatible (guard only triggers on arn:aws:sagemaker URIs); sagemaker-mlflow is only needed for ARN URIs. Validated e2e against a managed instance (trace landed).
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SageMaker Managed MLflow exposes MLflow via a resource ARN tracking URI, which requires the
sagemaker-mlflowplugin (registers thearnscheme). Add it as a backend option alongside Databricks/local:pip install sagemaker-mlflow(Step 1) and the ARN tracking URI forms (Step 2.1).Backwards compatible (guard only triggers on arn:aws:sagemaker URIs); sagemaker-mlflow is only needed for ARN URIs. Validated e2e against a managed instance (trace landed).