aws / aws/amazon-sagemaker-examples
object_detection_recordio_format.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/introduction_to_amazon_algorithms/object_detection_pascalvoc_coco/object_detection_recordio_format.ipynb
Error:
---------------------------------------------------------------------------
Exception encountered at "In [12]":
---------------------------------------------------------------------------
NameError Traceback (most recent call last)
in
----> 1 train_data = sagemaker.session.s3_input(s3_train_data, distribution='FullyReplicated',
2 content_type='application/x-recordio', s3_data_type='S3Prefix')
3 validation_data = sagemaker.session.s3_input(s3_validation_data, distribution='FullyReplicated',
4 content_type='application/x-recordio', s3_data_type='S3Prefix')
5 data_channels = {'train': train_data, 'validation': validation_data}
NameError: name 's3_train_data' is not defined
Contributor guide
Research direction
Open introduction_to_amazon_algorithms/object_detection_pascalvoc_coco/object_detection_recordio_format.ipynb and inspect the cells leading to In [12], where the reported NameError occurs. Re-run the notebook through that cell and confirm the CI failure is resolved without the undefined-name error.
Written by the indexing model from the issue text.
Assessment
- Tech stack
- aws, jupyter-notebook, python
- Domain
- machine-learning
- Issue type
- Bug
- Difficulty
- 2/5
- Estimated time
- 1-3 hours
- Activity status
- Stale
- Clarity
- Mostly clear
- Newbie friendliness
- 45/100