aws / aws/amazon-sagemaker-examples
hpo_image_classification_warmstart.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/hyperparameter_tuning/image_classification_warmstart/hpo_image_classification_warmstart.ipynb
Error:
---------------------------------------------------------------------------
Exception encountered at "In [10]":
---------------------------------------------------------------------------
ModuleNotFoundError Traceback (most recent call last)
in
----> 1 import bokeh
2 import bokeh.io
3 bokeh.io.output_notebook()
4 from bokeh.plotting import figure, show
5 from bokeh.models import HoverTool
ModuleNotFoundError: No module named 'bokeh'
Contributor guide
Research direction
Open hyperparameter_tuning/image_classification_warmstart/hpo_image_classification_warmstart.ipynb and inspect cell In [10], where the CI traceback reports the missing import. Run the notebook or its CI check to reproduce the failure; done means the notebook completes this cell without ModuleNotFoundError.
Written by the indexing model from the issue text.
Assessment
- Tech stack
- aws, jupyter-notebook, python
- Domain
- machine-learning, testing-qa
- Issue type
- Bug
- Difficulty
- 2/5
- Estimated time
- 1-3 hours
- Activity status
- Stale
- Clarity
- Mostly clear
- Newbie friendliness
- 48/100