aws / aws/amazon-sagemaker-examples
Feature_selection_autopilot.ipynb failed CI
- Dominant language
- Jupyter Notebook
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- 11k
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- Avg merge
- 8h 29m
- Merged PRs (30d)
- 8
Description
Link to the notebook:
https://github.com/aws/amazon-sagemaker-examples/blob/master/autopilot/custom-feature-selection/Feature_selection_autopilot.ipynb
Error:
---------------------------------------------------------------------------
Exception encountered at "In [4]":
---------------------------------------------------------------------------
ClientError Traceback (most recent call last)
/opt/conda/lib/python3.7/site-packages/boto3/s3/transfer.py in upload_file(self, filename, bucket, key, callback, extra_args)
278 try:
--> 279 future.result()
280 # If a client error was raised, add the backwards compatibility layer
/opt/conda/lib/python3.7/site-packages/s3transfer/futures.py in result(self)
105 # out of this and propogate the exception.
--> 106 return self._coordinator.result()
107 except KeyboardInterrupt as e:
/opt/conda/lib/python3.7/site-package
[...]
S3UploadFailedError: Failed to upload data/train.csv to qqnl-autopilot/reuse-autopilot-blog/training_data/train.csv: An error occurred (AccessDenied) when calling the PutObject operation: Access Denied
Contributor guide
Research direction
Open Feature_selection_autopilot.ipynb and inspect cell In [4], where the training_data/train.csv upload fails. First reproduce or trace the notebook's S3 upload using the reported bucket and key, then determine the required change so the notebook completes without AccessDenied and CI passes.
Written by the indexing model from the issue text.
Assessment
- Tech stack
- aws, jupyter-notebook, python
- Domain
- ci-cd, cloud, machine-learning
- Issue type
- Bug
- Difficulty
- 3/5
- Estimated time
- 1-2 days
- Activity status
- Stale
- Clarity
- Needs clarification
- Newbie friendliness
- 35/100