aws / aws/amazon-sagemaker-examples

Identify Worker Accuracy.ipynb failed CI

Open
#2,325 0 comments 0 reactions 0 assignees View on GitHub
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/ground_truth_labeling_jobs/worker_labeling_efficiency/Identify Worker Accuracy.ipynb

Error:

---------------------------------------------------------------------------
Exception encountered at "In [13]":
---------------------------------------------------------------------------
NoSuchBucket Traceback (most recent call last)
in
----> 1 run_sanity_check(bucket)
2 write_worker_metrics(labeling_job_output_location, labeling_job_name, worker_metrics_output, golden_answers)

in run_sanity_check(bucket_name)
3 region = boto3.session.Session().region_name
4 s3 = boto3.client('s3')
----> 5 bucket_region = s3.get_bucket_location(Bucket=bucket_name)['LocationConstraint']
6 if bucket_region is None:
7 bucket_region = 'us-east-1'

/opt/conda/lib/python3.7/site-packages/botocore/client.py in _api_call(self, *args, **kwargs)

[...]

NoSuchBucket: An error occurred (NoSuchBucket) when calling the GetBucketLocation operation: The specified bucket does not exist

Contributor guide

Open the contributing guide

Research direction

Open Identify Worker Accuracy.ipynb and start at In[13], where run_sanity_check(bucket) fails during GetBucketLocation. Check how the bucket value is supplied and reproduce the CI failure; done means the notebook no longer raises NoSuchBucket in CI.

Written by the indexing model from the issue text.

Assessment

Tech stack
aws, jupyter-notebook, python
Domain
cloud, machine-learning
Issue type
Bug
Difficulty
3/5
Estimated time
1-2 days
Activity status
Stale
Clarity
Mostly clear
Newbie friendliness
25/100

Get new issues in your inbox

A short digest of beginner-friendly GitHub issues.