aws / aws/amazon-sagemaker-examples
feature_store_kms_key_encryption.ipynb failed CI
- Dominant language
- Jupyter Notebook
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Description
Link to the notebook:
https://github.com/aws/amazon-sagemaker-examples/blob/master/sagemaker-featurestore/feature_store_kms_key_encryption.ipynb
Error:
---------------------------------------------------------------------------
Exception encountered at "In [18]":
---------------------------------------------------------------------------
NameError Traceback (most recent call last)
in
5 role_arn=role,
6 enable_online_store=False,
----> 7 offline_store_kms_key_id = 'arn:aws:kms:us-east-1:123456789012:key/'+ new_kms_key['KeyMetadata']['KeyId']
8 )
9
NameError: name 'new_kms_key' is not defined
Contributor guide
Research direction
Open sagemaker-featurestore/feature_store_kms_key_encryption.ipynb and inspect the cells preceding In [18] to trace where the referenced KMS key value should be defined. Run the notebook through the failing cell and verify that the CI run completes without the NameError.
Written by the indexing model from the issue text.
Assessment
- Tech stack
- aws, jupyter-notebook, machine-learning
- Domain
- machine-learning, testing
- Issue type
- Bug
- Difficulty
- 2/5
- Estimated time
- 1-3 hours
- Activity status
- Stale
- Clarity
- Clearly specified
- Newbie friendliness
- 35/100