aws / aws/amazon-sagemaker-examples
3-mitigate-bias-train-model2-registry-e2e.ipynb failed CI
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- Jupyter Notebook
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Description
Link to the notebook:
https://github.com/aws/amazon-sagemaker-examples/blob/master/end_to_end/3-mitigate-bias-train-model2-registry-e2e.ipynb
Error:
---------------------------------------------------------------------------
Exception encountered at "In [6]":
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NameError Traceback (most recent call last)
in
1 # variables used for parameterizing the notebook run
----> 2 model_2_name = f'{prefix}-xgboost-post-smote'
3
4 train_data_upsampled_s3_path = f's3://{bucket}/{prefix}/data/train/upsampled/train.csv'
5 bias_report_2_output_path = f's3://{bucket}/{prefix}/clarify-output/bias-2'
NameError: name 'prefix' is not defined
Contributor guide
Research direction
Open end_to_end/3-mitigate-bias-train-model2-registry-e2e.ipynb and inspect cell In [6], then trace where prefix is expected to be defined. Rerun the notebook or CI check and confirm the cell completes without the reported NameError.
Written by the indexing model from the issue text.
Assessment
- Tech stack
- aws, jupyter-notebook, python
- Domain
- machine-learning
- Issue type
- Bug
- Difficulty
- 2/5
- Estimated time
- 1-3 hours
- Activity status
- Stale
- Clarity
- Clearly specified
- Newbie friendliness
- 45/100