aws / aws/amazon-sagemaker-examples

0_cust_churn_overview_dw.ipynb failed CI

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Dominant language
Jupyter Notebook
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Merged PRs (30d)
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Description

Link to the notebook:
https://github.com/aws/amazon-sagemaker-examples/blob/master/use-cases/customer_churn/0_cust_churn_overview_dw.ipynb

Error:

---------------------------------------------------------------------------
Exception encountered at "In [3]":
---------------------------------------------------------------------------
UnknownServiceError Traceback (most recent call last)
in
----> 1 sagemaker_session = sagemaker.Session()
2 bucket = sagemaker_session.default_bucket() #replace with your own bucket name if you have one
3 s3 = sagemaker_session.boto_session.resource('s3')
4
5 region = boto3.Session().region_name

/opt/conda/lib/python3.7/site-packages/sagemaker/session.py in __init__(self, boto_session, sagemaker_client, sagemaker_runtime_client, sagemaker_featurestore_runtime_client, default_bucket)
124 sagemaker_client=sagemaker_client,
125 sagemaker_runtime_client=sagemaker_runtime_client,
--> 126 sagemaker_featurestore_runtime_client=sagemaker_featurestore_runtime_client,
127 )
128

/opt/conda

Contributor guide

Open the contributing guide

Research direction

Open use-cases/customer_churn/0_cust_churn_overview_dw.ipynb and start with the failing In [3] cell, where sagemaker.Session() raises UnknownServiceError. Reproduce the CI failure and inspect the session initialization context. Done means the notebook completes its CI run without this error.

Written by the indexing model from the issue text.

Assessment

Tech stack
aws, jupyter-notebook, python
Domain
machine-learning, testing-qa
Issue type
Bug
Difficulty
3/5
Estimated time
1-2 days
Activity status
Stale
Clarity
Needs clarification
Newbie friendliness
35/100

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