aws / aws/amazon-sagemaker-examples
xgboost-realtime-analysis.ipynb failed CI
- Dominant language
- Jupyter Notebook
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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/sagemaker-debugger/xgboost_realtime_analysis/xgboost-realtime-analysis.ipynb
Error:
---------------------------------------------------------------------------
Exception encountered at "In [10]":
---------------------------------------------------------------------------
ModuleNotFoundError Traceback (most recent call last)
in
----> 1 from smdebug.trials import create_trial
2
3 description = client.describe_training_job(TrainingJobName=job_name)
4 s3_output_path = xgboost_algorithm_mode_estimator.latest_job_debugger_artifacts_path()
5
ModuleNotFoundError: No module named 'smdebug'
Contributor guide
Research direction
Open sagemaker-debugger/xgboost_realtime_analysis/xgboost-realtime-analysis.ipynb and start at cell In [10], where the smdebug.trials import fails. Reproduce the notebook’s CI failure and determine what is needed for that import to work. Done means the notebook completes that cell without ModuleNotFoundError.
Written by the indexing model from the issue text.
Assessment
- Tech stack
- jupyter-notebook, python
- Domain
- machine-learning
- Issue type
- Bug
- Difficulty
- 3/5
- Estimated time
- 1-2 days
- Activity status
- Stale
- Clarity
- Needs clarification
- Newbie friendliness
- 38/100