aws / aws/amazon-sagemaker-examples
tensorflow_serving_container.ipynb
Open
- Dominant language
- Jupyter Notebook
- Stars
- 11k
- Forks
- 7k
- Avg merge
- 8h 29m
- Merged PRs (30d)
- 8
Description
This notebook requires the conda_tensorflow_p36 kernel, which doesn't isn't in SageMaker Studio.
Contributor guide
Research direction
Open tensorflow_serving_container.ipynb and inspect its kernel metadata, focusing on the conda_tensorflow_p36 requirement. Check which kernels SageMaker Studio supports, then update the notebook to use an available one and verify that it opens and runs without the missing-kernel error.
Written by the indexing model from the issue text.
Assessment
- Tech stack
- jupyter-notebook, tensorflow
- Domain
- cloud, machine-learning
- Issue type
- Bug
- Difficulty
- 2/5
- Estimated time
- 1-3 hours
- Activity status
- Stale
- Clarity
- Mostly clear
- Newbie friendliness
- 35/100