aws / aws/amazon-sagemaker-examples
SageMaker-Model-Monitor-Visualize.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_model_monitor/visualization/SageMaker-Model-Monitor-Visualize.ipynb
Error:
---------------------------------------------------------------------------
Exception encountered at "In [4]":
---------------------------------------------------------------------------
IndexError Traceback (most recent call last)
in
----> 1 execution = MonitoringExecution.from_processing_arn(sagemaker_session=session.Session(), processing_job_arn=processing_job_arn)
2 exec_inputs = {inp['InputName']: inp for inp in execution.describe()['ProcessingInputs']}
3 exec_results = execution.output.destination
/opt/conda/lib/python3.7/site-packages/sagemaker/model_monitor/model_monitoring.py in from_processing_arn(cls, sagemaker_session, processing_job_arn)
3210
3211 """
-> 3212 processing_job_name = processing_job_arn.split(":")[5][
3213 len("processing-job/") :
3214 ] # This is necessary while the API only vends an arn.
IndexError: list index out of range
Contributor guide
Research direction
Open sagemaker_model_monitor/visualization/SageMaker-Model-Monitor-Visualize.ipynb and inspect cell In [4], especially the processing_job_arn passed to MonitoringExecution.from_processing_arn. Run the notebook or its CI validation to reproduce the IndexError; done means the notebook executes successfully through this cell and CI passes.
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