aws / aws/amazon-sagemaker-examples
mxnet_mnist_with_gluon.ipynb failed CI
- Dominant language
- Jupyter Notebook
- Stars
- 11k
- Forks
- 7k
- 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/sagemaker-python-sdk/mxnet_gluon_mnist/mxnet_mnist_with_gluon.ipynb
Error:
---------------------------------------------------------------------------
Exception encountered at "In [9]":
---------------------------------------------------------------------------
NameError Traceback (most recent call last)
in
----> 1 response = predictor.predict(data)
2 print(int(response))
NameError: name 'data' is not defined
Contributor guide
Research direction
Open sagemaker-python-sdk/mxnet_gluon_mnist/mxnet_mnist_with_gluon.ipynb and inspect the cells before In [9] to determine why data is unavailable when predictor.predict(data) runs. Run the notebook through the same CI path and confirm it completes without the NameError.
Written by the indexing model from the issue text.
Assessment
- Tech stack
- jupyter-notebook
- Domain
- machine-learning, testing
- Issue type
- Bug
- Difficulty
- 2/5
- Estimated time
- 1-3 hours
- Activity status
- Stale
- Clarity
- Mostly clear
- Newbie friendliness
- 45/100