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great question! the output notebooks generated by NotebookRunner are uploaded to S3. If you want to aggregate results, you have a few options. 1. download the output notebooks from S3 and extract the notebooks using our sklearn-evaluation tool https://sklearn-evaluation.readthedocs.io/en/latest/user_guide/NotebookCollection.html 2. create a final task in your pipeline that aggregates the notebooks with sklearn-evaluation. then download the final notebook 3. add mlflow or any other experiment tracker to log the results. we have an example here: https://github.com/ploomber/projects/tree/master/templates/mlflow does this help?