aws / aws/amazon-sagemaker-examples
object_detection_birds.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_birds/object_detection_birds.ipynb
Error:
---------------------------------------------------------------------------
Exception encountered at "In [16]":
---------------------------------------------------------------------------
ParamValidationError Traceback (most recent call last)
in
3 validation_channel = prefix + '/validation'
4
----> 5 sess.upload_data(path='birds_ssd_sample_train.rec', bucket=bucket, key_prefix=train_channel)
6 sess.upload_data(path='birds_ssd_sample_val.rec', bucket=bucket, key_prefix=validation_channel)
7
/usr/local/lib/python3.7/site-packages/sagemaker/session.py in upload_data(self, path, bucket,
[...]
Invalid bucket name "": Bucket name must match the regex "^[a-zA-Z0-9.\-_]{1,255}$" or be an ARN matching the regex "^arn:(aws).*:s3:[a-z\-0-9]+:[0-9]{12}:accesspoint[/:][a-zA-Z0-9\-]{1,63}$|^arn:(aws).*:s3-outposts:[a-z\-0-9]+:[0-9]{12}:outpost[/:][a-zA-Z0-9\-]{1,63}[/:]accesspoint[/:][a-zA-Z0-9\-]{1,63}$"
Contributor guide
Research direction
Open introduction_to_amazon_algorithms/object_detection_birds/object_detection_birds.ipynb and inspect cell In [16], especially the sess.upload_data calls and bucket value. Run the notebook or its CI validation to confirm how the placeholder bucket is handled. Done means the notebook no longer fails with the invalid bucket-name error.
Written by the indexing model from the issue text.
Assessment
- Tech stack
- aws, jupyter-notebook, python
- Domain
- cloud, machine-learning
- Issue type
- Bug
- Difficulty
- 2/5
- Estimated time
- 1-3 hours
- Activity status
- Stale
- Clarity
- Mostly clear
- Newbie friendliness
- 35/100