aws / aws/amazon-sagemaker-examples
Image-classification-lst-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/aws_sagemaker_studio/sagemaker_algorithms/imageclassification_caltech/Image-classification-lst-format.ipynb
Error:
---------------------------------------------------------------------------
Exception encountered at "In [10]":
---------------------------------------------------------------------------
ClientError Traceback (most recent call last)
in
1 # create the Amazon SageMaker training job
2 sagemaker = boto3.client(service_name='sagemaker')
----> 3 sagemaker.create_training_job(**training_params)
4
[...]
ClientError: An error occurred (ValidationException) when calling the CreateTrainingJob operation: No S3 objects found under S3 URL "s3://sagemaker-us-west-2-521695447989/image-classification/train/" given in input data source. Please ensure that the bucket exists in the selected region (us-west-2), that objects exist under that S3 prefix, and that the role "arn:aws:iam::521695447989:role/ProdBuildSystemStack-ReleaseBuildRoleFB326D49-QK8LUA2UI1IC" has "s3:ListBucket" permissions on bucket "sagemaker-us-west-2-521695447989".
Contributor guide
Research direction
Open aws_sagemaker_studio/sagemaker_algorithms/imageclassification_caltech/Image-classification-lst-format.ipynb and inspect the cells before In [10], especially the S3 input setup and training_params. Reproduce the failing training-job call in the indicated us-west-2 environment, then verify the notebook's CI run no longer reports missing S3 objects.
Written by the indexing model from the issue text.
Assessment
- Tech stack
- aws, jupyter-notebook, machine-learning, python
- Domain
- cloud, machine-learning
- Issue type
- Bug
- Difficulty
- 4/5
- Estimated time
- 3-5 days
- Activity status
- Stale
- Clarity
- Needs clarification
- Newbie friendliness
- 25/100