aws-samples / aws-samples/sagemaker-run-notebook
Updating the S3 Paths for the Jupyter Plugin
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enhancement
- Dominant language
- Python
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Description
IHAC who is using the Jupyter Plugin in Sagemaker Studio. It is a great plugin, but in the documentation there is a gap for us that I wasn't able to easily figure out in the source code:
Is there a way to change the input/output buckets using the Jupyter Plugin? It seems to use a default Sagemaker bucket. Instead I'd like to scope it to a specific bucket and prefix. Let me know if this is possible.
Cheers!
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