aws / aws/amazon-sagemaker-examples
inference pipeline sparkml xgboost notebooks issues
- Dominant language
- Jupyter Notebook
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- Avg merge
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- Merged PRs (30d)
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Description
Similar notebooks:
1. [xgboost/spark abalone](https://github.com/awslabs/amazon-sagemaker-examples/blob/master/advanced_functionality/inference_pipeline_sparkml_xgboost_abalone/inference_pipeline_sparkml_xgboost_abalone.ipynb)
1. [xgboost/spark car evaluation](https://github.com/awslabs/amazon-sagemaker-examples/blob/master/advanced_functionality/inference_pipeline_sparkml_xgboost_car_evaluation/inference_pipeline_sparkml_xgboost_car_evaluation.ipynb)
Issues:
1. Requires manual addition of role for Glue access
- Has user paste in json to add this permission
- How can we programmatically add this permission?
- How to set this up w/ CI?
Contributor guide
Research direction
Start with the linked notebooks in advanced_functionality/inference_pipeline_sparkml_xgboost_abalone and advanced_functionality/inference_pipeline_sparkml_xgboost_car_evaluation. Review how the Glue permission is currently added and how the notebooks are intended to run in CI. Done means the required permission setup no longer depends on manual JSON pasting and the CI approach is documented or implemented.
Written by the indexing model from the issue text.
Assessment
- Tech stack
- aws, jupyter-notebook, spark
- Domain
- ci-cd, cloud, machine-learning
- Issue type
- Feature
- Difficulty
- 4/5
- Estimated time
- 3-5 days
- Activity status
- Stale
- Clarity
- Needs clarification
- Newbie friendliness
- 25/100