aws / aws/amazon-sagemaker-examples
1_cust_churn_dataprep.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/use-cases/customer_churn/1_cust_churn_dataprep.ipynb
Error:
---------------------------------------------------------------------------
Exception encountered at "In [5]":
---------------------------------------------------------------------------
NameError Traceback (most recent call last)
in
----> 1 processing_output_filename
NameError: name 'processing_output_filename' is not defined
Contributor guide
Research direction
Open use-cases/customer_churn/1_cust_churn_dataprep.ipynb and inspect the cells before the reported failure at In [5]. Run the notebook through the CI check to reproduce the undefined processing_output_filename error. Done means the notebook completes without this NameError and CI passes.
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
- 38/100