aws / aws/amazon-sagemaker-examples
linear_learner_mnist_with_file_system_data_source.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/introduction_to_amazon_algorithms/linear_learner_mnist/linear_learner_mnist_with_file_system_data_source.ipynb
Error:
---------------------------------------------------------------------------
Exception encountered at "In [2]":
---------------------------------------------------------------------------
ValueError Traceback (most recent call last)
in
21 file_system_type=file_system_type,
22 directory_path=file_system_directory_path,
---> 23 file_system_access_mode=file_system_access_mode)
/opt/conda/lib/python3.7/site-packages/sagemaker/inputs.py in __init__(self, file_system_id, file_system_type, directory_path, file_system_access_mode, content_type)
143 raise ValueError(
144 "Unrecognized file system type: %s. Valid values: %s."
--> 145 % (file_system_type, ", ".join(FILE_SYSTEM_
[...]
ValueError: Unrecognized file system type: . Valid values: FSxLustre, EFS.
Contributor guide
Research direction
Start with introduction_to_amazon_algorithms/linear_learner_mnist/linear_learner_mnist_with_file_system_data_source.ipynb and inspect cell In[2], where the ValueError occurs. Run the notebook or its CI check and determine what change is needed so the file-system data source uses a recognized configuration and the notebook completes without this error.
Written by the indexing model from the issue text.
Assessment
- Tech stack
- aws, jupyter-notebook
- Domain
- machine-learning, testing-qa
- Issue type
- Bug
- Difficulty
- 2/5
- Estimated time
- 1-3 hours
- Activity status
- Stale
- Clarity
- Needs clarification
- Newbie friendliness
- 25/100