aws / aws/amazon-sagemaker-examples
4-deploy-run-inference-e2e.ipynb failed CI
- Dominant language
- Jupyter Notebook
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- 11k
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- 7k
- Avg merge
- 8h 29m
- Merged PRs (30d)
- 8
Description
Link to the notebook:
https://github.com/aws/amazon-sagemaker-examples/blob/master/end_to_end/4-deploy-run-inference-e2e.ipynb
Error:
---------------------------------------------------------------------------
Exception encountered at "In [6]":
---------------------------------------------------------------------------
NameError Traceback (most recent call last)
in
1 # variables used for parameterizing the notebook run
----> 2 endpoint_name = f'{model_2_name}-endpoint'
3 endpoint_instance_count = 1
4 endpoint_instance_type = "ml.m4.xlarge"
5
NameError: name 'model_2_name' is not defined
Contributor guide
Research direction
Open end_to_end/4-deploy-run-inference-e2e.ipynb and inspect the cells before In [6] to determine where model_2_name should come from. Run the notebook through the deployment section and confirm the CI failure is resolved and the inference workflow completes without the NameError.
Written by the indexing model from the issue text.
Assessment
- Tech stack
- aws, jupyter-notebook
- Domain
- cloud, machine-learning
- Issue type
- Bug
- Difficulty
- 2/5
- Estimated time
- 1-3 hours
- Activity status
- Stale
- Clarity
- Mostly clear
- Newbie friendliness
- 35/100