aws / aws/amazon-sagemaker-examples
explaining_customer_churn_model.ipynb failed CI
- Dominant language
- Jupyter Notebook
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Description
Link to the notebook:
https://github.com/aws/amazon-sagemaker-examples/blob/master/autopilot/model-explainability/explaining_customer_churn_model.ipynb
Error:
---------------------------------------------------------------------------
Exception encountered at "In [4]":
---------------------------------------------------------------------------
ResourceNotFound Traceback (most recent call last)
in
1 automl_job_name = 'your-autopilot-job-that-exists'
----> 2 automl_job = AutoML.attach(automl_job_name, sagemaker_session=session)
3
4 # Endpoint name
5 ep_name = 'sagemaker-automl-' + datetime.now().strftime('%Y-%m-%d-%H-%M-%S')
/opt/conda/lib/python3.7/site-packages/sagemaker/automl/automl.py in attach(cls, auto_ml_job_name, sagemaker_session)
120 sagemaker_session = sagemaker_session or Session()
121
--> 122 auto_ml_job_desc = sagemaker_session.describe_auto_ml_job(a
[...]
ResourceNotFound: An error occurred (ResourceNotFound) when calling the DescribeAutoMLJob operation: Amazon SageMaker can't find an AutoML job called your-autopilot-job-that-exists.
Contributor guide
Research direction
Open autopilot/model-explainability/explaining_customer_churn_model.ipynb and inspect cell In [4], where AutoML.attach fails while describing the placeholder job. Review how CI executes this notebook and determine what setup or input it expects; done means the notebook completes in CI without the ResourceNotFound error.
Written by the indexing model from the issue text.
Assessment
- Tech stack
- aws, jupyter-notebook, python
- Domain
- cloud, machine-learning, testing
- Issue type
- Bug
- Difficulty
- 3/5
- Estimated time
- 1-2 days
- Activity status
- Stale
- Clarity
- Mostly clear
- Newbie friendliness
- 35/100