aws / aws/amazon-sagemaker-examples
Bring_Your_Own-Creating_Algorithm_and_Model_Package.ipynb failed CI
- Dominant language
- Jupyter Notebook
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- Avg merge
- 8h 29m
- Merged PRs (30d)
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Description
Link to the notebook:
https://github.com/aws/amazon-sagemaker-examples/blob/master/aws_marketplace/creating_marketplace_products/Bring_Your_Own-Creating_Algorithm_and_Model_Package.ipynb
Error:
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Exception encountered at "In [2]":
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CalledProcessError Traceback (most recent call last)
in
----> 1 get_ipython().run_cell_magic('sh', '', '\n# The name of our algorithm\nalgorithm_name=decision-trees-sample\n\ncd container\n\nchmod +x decision_trees/train\nchmod +x decision_trees/serve\n\naccount=$(aws sts get-caller-identity --query Account --output text)\n\n# Get the region defined in the current configuration (default to us-west-2 if none defined)\nregion=$(aws configure get region)\n\nfullname="${account}.dkr.ecr.${region}.amazonaws.com/${algorithm_name}:latest"\n\n# If the repository doesn\'t exist in ECR, create it.\n\naws ecr describe-repositories --repository-names "${algorithm_name}" > /dev/null 2>&1\n\nif [ $? -ne 0 ]\nthen\n aws ecr create-repository --repository-name "${algorithm_na
Contributor guide
Research direction
Open the linked Bring_Your_Own-Creating_Algorithm_and_Model_Package.ipynb and inspect cell In [2], especially the shell commands using AWS CLI, ECR, and the container directory. Reproduce the CI failure if the required AWS environment is available, then verify that the notebook completes successfully in CI.
Written by the indexing model from the issue text.
Assessment
- Tech stack
- aws, jupyter-notebook
- Domain
- ci-cd, machine-learning
- Issue type
- Bug
- Difficulty
- 4/5
- Estimated time
- 3-5 days
- Activity status
- Stale
- Clarity
- Mostly clear
- Newbie friendliness
- 25/100