aws / aws/amazon-sagemaker-examples
amazon_augmented_ai_with_aws_marketplace_ml_models.ipynb failed CI
- Dominant language
- Jupyter Notebook
- Stars
- 11k
- Forks
- 7k
- Avg merge
- 8h 29m
- Merged PRs (30d)
- 8
Description
Link to the notebook:
https://github.com/aws/amazon-sagemaker-examples/blob/master/aws_marketplace/using_model_packages/amazon_augmented_ai_with_aws_marketplace_ml_models/amazon_augmented_ai_with_aws_marketplace_ml_models.ipynb
Error:
---------------------------------------------------------------------------
Exception encountered at "In [7]":
---------------------------------------------------------------------------
NameError Traceback (most recent call last)
in
3 RoleArn= role,
4 HumanLoopConfig= {
----> 5 "WorkteamArn": workteam_arn,
6 "HumanTaskUiArn": human_task_ui_arn,
7 "TaskCount": 1,
NameError: name 'workteam_arn' is not defined
Contributor guide
Research direction
Open the linked notebook at aws_marketplace/using_model_packages/amazon_augmented_ai_with_aws_marketplace_ml_models/amazon_augmented_ai_with_aws_marketplace_ml_models.ipynb and inspect In [7], where workteam_arn is reported as undefined. Reproduce the notebook’s CI failure and trace how the HumanLoopConfig values are established. Done means the notebook no longer raises this NameError and CI passes.
Written by the indexing model from the issue text.
Assessment
- Tech stack
- aws, jupyter-notebook, python
- Domain
- machine-learning
- Issue type
- Bug
- Difficulty
- 2/5
- Estimated time
- 1-3 hours
- Activity status
- Stale
- Clarity
- Mostly clear
- Newbie friendliness
- 42/100