aws / aws/amazon-sagemaker-examples
batch_transform_pca_dbscan_movie_clusters.ipynb failed CI
- Dominant language
- Jupyter Notebook
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- Merged PRs (30d)
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Description
Link to the notebook:
https://github.com/aws/amazon-sagemaker-examples/blob/master/sagemaker_batch_transform/introduction_to_batch_transform/batch_transform_pca_dbscan_movie_clusters.ipynb
Error:
---------------------------------------------------------------------------
Exception encountered at "In [34]":
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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=dbscan\n\n#set -e # stop if anything fails\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)\nregion=${region:-us-west-2}\n\nfullname="${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_name}" > /dev/null\nfi\n\n# Ge
Contributor guide
Research direction
Open sagemaker_batch_transform/introduction_to_batch_transform/batch_transform_pca_dbscan_movie_clusters.ipynb and inspect the failing In [34] cell, especially the AWS CLI and ECR commands shown in the traceback. Reproduce the notebook CI failure and verify that the notebook completes successfully without the CalledProcessError.
Written by the indexing model from the issue text.
Assessment
- Tech stack
- aws, jupyter-notebook, shell
- Domain
- cloud, machine-learning, testing-qa
- Issue type
- Bug
- Difficulty
- 3/5
- Estimated time
- 1-2 days
- Activity status
- Stale
- Clarity
- Mostly clear
- Newbie friendliness
- 30/100