aws / aws/amazon-sagemaker-examples

2_cust_churn_train_deploy_infer.ipynb failed CI

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Dominant language
Jupyter Notebook
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Description

Link to the notebook:
https://github.com/aws/amazon-sagemaker-examples/blob/master/use-cases/customer_churn/2_cust_churn_train_deploy_infer.ipynb

Error:

---------------------------------------------------------------------------
Exception encountered at "In [7]":
---------------------------------------------------------------------------
NameError Traceback (most recent call last)
in
2
3 content_type = "csv"
----> 4 train_input = TrainingInput("s3://{}/{}/{}/".format(bucket, prefix, 'train'), content_type=content_type)
5 validation_input = TrainingInput("s3://{}/{}/{}/".format(bucket, prefix, 'validation'), content_type=content_type)

NameError: name 'bucket' is not defined

Contributor guide

Open the contributing guide

Research direction

Open 2_cust_churn_train_deploy_infer.ipynb and inspect the cells before In [7] to determine where bucket should be defined. Rerun the notebook or its CI validation and confirm that the training inputs execute without the reported NameError.

Written by the indexing model from the issue text.

Assessment

Tech stack
aws, jupyter-notebook
Domain
machine-learning
Issue type
Bug
Difficulty
2/5
Estimated time
1-3 hours
Activity status
Stale
Clarity
Clearly specified
Newbie friendliness
55/100

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