aws / aws/amazon-sagemaker-examples
default kernel needs to be set
- Dominant language
- Jupyter Notebook
- Stars
- 11k
- Forks
- 7k
- Avg merge
- 8h 29m
- Merged PRs (30d)
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Description
This example fails out of the box. It's what you get in your model monitor results pane and it doesn't work without changing the kernel manually.
https://github.com/awslabs/amazon-sagemaker-examples/blob/master/sagemaker_model_monitor/visualization/SageMaker-Model-Monitor-Visualize.ipynb
It should have the default kernel set in it, or at the very least state which kernel is required to run it (Data Science).
Contributor guide
Research direction
Open sagemaker_model_monitor/visualization/SageMaker-Model-Monitor-Visualize.ipynb and inspect how its kernel is configured. Run the notebook in SageMaker Model Monitor to confirm the required Data Science kernel, then verify that the notebook either selects it by default or states the requirement clearly.
Written by the indexing model from the issue text.
Assessment
- Tech stack
- aws, jupyter-notebook
- Domain
- machine-learning
- Issue type
- Bug
- Difficulty
- 1/5
- Estimated time
- 1-3 hours
- Activity status
- Stale
- Clarity
- Mostly clear
- Newbie friendliness
- 50/100