aws / aws/amazon-sagemaker-examples
3_retail_recommend_pipeline.ipynb failed CI
- Dominant language
- Jupyter Notebook
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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/use-cases/retail_recommend/3_retail_recommend_pipeline.ipynb
Error:
---------------------------------------------------------------------------
Exception encountered at "In [6]":
---------------------------------------------------------------------------
NameError Traceback (most recent call last)
in
8 sagemaker_session=sagemaker_session)
9
---> 10 fm.set_hyperparameters(feature_dim=input_dims,
11 predictor_type='regressor',
12 mini_batch_size=1000,
NameError: name 'input_dims' is not defined
Contributor guide
Research direction
Open 3_retail_recommend_pipeline.ipynb and inspect In [6], then review the preceding cells for where input_dims should come from. Rerun the notebook or its CI check after resolving the undefined name; done means the failing cell executes without the reported NameError.
Written by the indexing model from the issue text.
Assessment
- Tech stack
- jupyter-notebook
- Domain
- machine-learning, testing-qa
- Issue type
- Bug
- Difficulty
- 2/5
- Estimated time
- 1-3 hours
- Activity status
- Stale
- Clarity
- Mostly clear
- Newbie friendliness
- 35/100