aws / aws/amazon-sagemaker-examples

object_detection_recordio_format.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/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

Open the contributing 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

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