aws / aws/amazon-sagemaker-examples

4-deploy-run-inference-e2e.ipynb failed CI

Open
#2,473 0 comments 0 reactions 0 assignees View on GitHub
Dominant language
Jupyter Notebook
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Forks
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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/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

Open the contributing 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

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