aws / aws/amazon-sagemaker-examples
object2vec_movie_recommendation.ipynb failed CI
- Dominant language
- Jupyter Notebook
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- Avg merge
- 8h 29m
- Merged PRs (30d)
- 8
Description
Link to the notebook:
https://github.com/aws/amazon-sagemaker-examples/blob/master/introduction_to_amazon_algorithms/object2vec_movie_recommendation/object2vec_movie_recommendation.ipynb
Error:
---------------------------------------------------------------------------
Exception encountered at "In [18]":
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ParamValidationError Traceback (most recent call last)
in
9 fname = '{}_r.jsonl'.format(data_name)
10 data_path = os.path.join('s3://', bucket, pre_key, fname)
---> 11 s3_client.upload_file(fname, bucket, os.path.join(pre_key, fname))
12 input_paths[data_name] = s3_input(data_path, distribution='ShardedByS3Key', content_type='application/jsonlines')
13 print('Uploaded {} data to {} and defined
[...]
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/object2vec_movie_recommendation/object2vec_movie_recommendation.ipynb and inspect cell In [18], where s3_client.upload_file raises the invalid bucket-name error. Run the notebook or its CI check to trace how the bucket value is supplied; done means the example no longer passes the placeholder value and the notebook completes CI successfully.
Written by the indexing model from the issue text.
Assessment
- Tech stack
- aws, jupyter-notebook
- Domain
- cloud, machine-learning
- Issue type
- Bug
- Difficulty
- 2/5
- Estimated time
- 1-3 hours
- Activity status
- Stale
- Clarity
- Mostly clear
- Newbie friendliness
- 42/100