aws / aws/amazon-sagemaker-examples
5-pipeline-e2e.ipynb failed CI
- 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/end_to_end/5-pipeline-e2e.ipynb
Error:
---------------------------------------------------------------------------
Exception encountered at "In [5]":
---------------------------------------------------------------------------
NameError Traceback (most recent call last)
in
1 #======> Tons of output_paths
2
----> 3 training_job_output_path = f's3://{bucket}/{prefix}/training_jobs'
4 bias_report_output_path = f's3://{bucket}/{prefix}/clarify-bias'
5 explainability_output_path = f's3://{bucket}/{prefix}/clarify-explainability'
NameError: name 'bucket' is not defined
Contributor guide
Research direction
Open end_to_end/5-pipeline-e2e.ipynb and inspect the cells before In [5] to determine why bucket is unavailable when the output paths are assembled. Run the notebook or its CI check after the correction and confirm that this cell completes without the reported 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
- Mostly clear
- Newbie friendliness
- 45/100