aws / aws/amazon-sagemaker-examples

3_train_tune_predict_predmaint.ipynb failed CI

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Dominant language
Jupyter Notebook
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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/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

Open the contributing 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

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