aws / aws/amazon-sagemaker-examples
2_cust_churn_train_deploy_infer.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/use-cases/customer_churn/2_cust_churn_train_deploy_infer.ipynb
Error:
---------------------------------------------------------------------------
Exception encountered at "In [7]":
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NameError Traceback (most recent call last)
in
2
3 content_type = "csv"
----> 4 train_input = TrainingInput("s3://{}/{}/{}/".format(bucket, prefix, 'train'), content_type=content_type)
5 validation_input = TrainingInput("s3://{}/{}/{}/".format(bucket, prefix, 'validation'), content_type=content_type)
NameError: name 'bucket' is not defined
Contributor guide
Research direction
Open 2_cust_churn_train_deploy_infer.ipynb and inspect the cells before In [7] to determine where bucket should be defined. Rerun the notebook or its CI validation and confirm that the training inputs execute without the reported NameError.
Written by the indexing model from the issue text.
Assessment
- Tech stack
- aws, jupyter-notebook
- Domain
- machine-learning
- Issue type
- Bug
- Difficulty
- 2/5
- Estimated time
- 1-3 hours
- Activity status
- Stale
- Clarity
- Clearly specified
- Newbie friendliness
- 55/100