feat: add MLFlow experiment link to eval output#5783
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mollyheamazon merged 3 commits intoaws:masterfrom Apr 22, 2026
Merged
feat: add MLFlow experiment link to eval output#5783mollyheamazon merged 3 commits intoaws:masterfrom
mollyheamazon merged 3 commits intoaws:masterfrom
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| def _get_mlflow_experiment_url(mlflow_resource_arn: str, mlflow_experiment_name: Optional[str] = None) -> Optional[str]: |
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Is there a reason why we are not using the existing function?
Ref: https://github.com/aws/sagemaker-python-sdk/blob/master/sagemaker-train/src/sagemaker/train/common_utils/trainer_wait.py#L165-L213
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let me look at this. does require some decoupling since that takes in training job but better structure abstracting for sure
mollyheamazon
approved these changes
Apr 21, 2026
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Previous run looks good: https://github.com/aws/sagemaker-python-sdk/actions/runs/24751676874 |
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Add MLflow experiment link to the evaluation pipeline's Jupyter wait() display.
When an eval pipeline has MLflow configured, the wait view now shows a clickable 🔗 MLflow Experiment link in the header alongside the existing Pipeline Execution (Studio) link. The link deep-links to the experiment page (#/experiments/{id}) using a presigned URL, cached for 4 minutes to avoid expiry.