aws / aws/amazon-sagemaker-examples
3_train_tune_predict_predmaint.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/use-cases/predmaint/3_train_tune_predict_predmaint.ipynb
Error:
---------------------------------------------------------------------------
Exception encountered at "In [7]":
---------------------------------------------------------------------------
NameError Traceback (most recent call last)
in
1 with Tracker.create(display_name="training", sagemaker_boto_client=smclient) as tracker:
----> 2 tracker.log_input(name="prm-dataset", media_type="s3/uri", value=path_to_train_data_prm)
NameError: name 'path_to_train_data_prm' is not defined
Contributor guide
Research direction
Open use-cases/predmaint/3_train_tune_predict_predmaint.ipynb and inspect the cells before In [7], where path_to_train_data_prm is used in tracker.log_input. Re-run the notebook or its CI check after addressing the undefined name; done means the notebook completes without this NameError.
Written by the indexing model from the issue text.
Assessment
- Tech stack
- aws, jupyter-notebook, machine-learning
- Domain
- machine-learning
- Issue type
- Bug
- Difficulty
- 2/5
- Estimated time
- 1-3 hours
- Activity status
- Stale
- Clarity
- Clearly specified
- Newbie friendliness
- 45/100