aws / aws/amazon-sagemaker-examples

5-pipeline-e2e.ipynb failed CI

Open
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Dominant language
Jupyter Notebook
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Forks
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Avg merge
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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

Open the contributing 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

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