aws / aws/amazon-sagemaker-examples
2_dataprep_predmaint.ipynb failed CI
- Dominant language
- Jupyter Notebook
- Stars
- 11k
- Forks
- 7k
- Avg merge
- 8h 29m
- Merged PRs (30d)
- 8
Description
Link to the notebook:
https://github.com/aws/amazon-sagemaker-examples/blob/master/use-cases/predmaint/2_dataprep_predmaint.ipynb
Error:
---------------------------------------------------------------------------
Exception encountered at "In [4]":
---------------------------------------------------------------------------
NameError Traceback (most recent call last)
in
----> 1 fleet = wr.s3.read_csv(path=dw_output_path_prm, dataset=True)
NameError: name 'dw_output_path_prm' is not defined
Contributor guide
Research direction
Open use-cases/predmaint/2_dataprep_predmaint.ipynb and inspect the cells before In [4], where dw_output_path_prm is used in wr.s3.read_csv. Rerun the data-preparation section and confirm that the notebook reaches this cell without the reported NameError.
Written by the indexing model from the issue text.
Assessment
- Tech stack
- aws, jupyter-notebook
- Domain
- data, machine-learning
- Issue type
- Bug
- Difficulty
- 2/5
- Estimated time
- 1-3 hours
- Activity status
- Stale
- Clarity
- Clearly specified
- Newbie friendliness
- 45/100