aws / aws/amazon-sagemaker-examples
get_started_mnist_deploy.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/frameworks/mxnet/get_started_mnist_deploy.ipynb
Error:
---------------------------------------------------------------------------
Exception encountered at "In [1]":
---------------------------------------------------------------------------
JSONDecodeError Traceback (most recent call last)
in
21 # copy a pretrained model from a public public to your default bucket
22 with open('code/config.json', 'r') as f:
---> 23 CONFIG = json.load(f)
24
25 bucket = CONFIG['public_bucket']
/usr/local/lib/python3.7/json/__init__.py in load(fp, cls, object_hook, parse_float, parse_int, parse_constant, object_pairs_hook, **kw)
294 cls=cls, object_hook=object_hook,
295 parse_float=parse_float, parse_int=parse_int,
--> 296 parse_constant=parse_constant, object_pairs_hook=object_pairs_hook, **kw)
297
298
/usr/local/lib/python3.7/json/__init__.py in loads(s, encoding,
[...]
JSONDecodeError: Expecting value: line 1 column 1 (char 0)
Contributor guide
Research direction
Open frameworks/mxnet/get_started_mnist_deploy.ipynb and inspect the first cell's load of code/config.json. Run the notebook through its CI path and confirm the configuration parses without JSONDecodeError and the deployment example proceeds.
Written by the indexing model from the issue text.
Assessment
- Tech stack
- aws, jupyter-notebook, python
- Domain
- ci-cd, machine-learning
- Issue type
- Bug
- Difficulty
- 2/5
- Estimated time
- 1-3 hours
- Activity status
- Stale
- Clarity
- Needs clarification
- Newbie friendliness
- 35/100