aws / aws/amazon-sagemaker-examples
tune_r_bring_your_own.ipynb failed CI
- Dominant language
- Jupyter Notebook
- Stars
- 11k
- Forks
- 7k
- Avg merge
- 8h 29m
- Merged PRs (30d)
- 8
Description
Link to the notebook:
https://github.com/aws/amazon-sagemaker-examples/blob/master/hyperparameter_tuning/r_bring_your_own/tune_r_bring_your_own.ipynb
Error:
---------------------------------------------------------------------------
Exception encountered at "In [3]":
---------------------------------------------------------------------------
CalledProcessError Traceback (most recent call last)
in
----> 1 get_ipython().run_cell_magic('sh', '', '\n# The name of our algorithm\nalgorithm_name=rmars\n\n#set -e # stop if anything fails\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)\nregion=${region:-us-west-2}\n\nif [ "$region" = "cn-north-1" ] || [ "$region" = "cn-northwest-1" ]; then domain="amazonaws.com.cn"; \nelse domain="amazonaws.com"; fi\n\nfullname="${account}.dkr.ecr.${region}.${domain}/${algorithm_name}:latest"\n\n# If the repository doesn\'t exist in ECR, create it.\naws ecr describe-repositories --repository-names "${algorithm_name}" > /dev/
Contributor guide
Research direction
Open hyperparameter_tuning/r_bring_your_own/tune_r_bring_your_own.ipynb and inspect cell In [3], particularly the AWS CLI shell commands shown in the failure. Reproduce the notebook's CI failure and trace the CalledProcessError; done means the notebook completes that cell successfully in CI.
Written by the indexing model from the issue text.
Assessment
- Tech stack
- aws, jupyter-notebook, shell
- Domain
- cloud, machine-learning, testing
- Issue type
- Bug
- Difficulty
- 3/5
- Estimated time
- 1-2 days
- Activity status
- Stale
- Clarity
- Mostly clear
- Newbie friendliness
- 35/100