aws / aws/amazon-sagemaker-examples
[SPARKML] sparkml_serving_emr_mleap_abalone.ipynb issues
- Dominant language
- Jupyter Notebook
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Description
https://github.com/awslabs/amazon-sagemaker-examples/blob/master/sagemaker-python-sdk/sparkml_serving_emr_mleap_abalone/sparkml_serving_emr_mleap_abalone.ipynb
I tried running this notebook depending on the kernel selected, i.e., pyspark, or conda python3 I get an error sending http request and maximum retry encountered or an import library error.
Contributor guide
Research direction
Start with sagemaker-python-sdk/sparkml_serving_emr_mleap_abalone/sparkml_serving_emr_mleap_abalone.ipynb and run it with both the pyspark and conda python3 kernels. Capture the full HTTP retry and import errors, then verify that the notebook completes its model-serving request successfully in the affected kernel(s).
Written by the indexing model from the issue text.
Assessment
- Tech stack
- aws, jupyter-notebook, python, spark
- Domain
- cloud, machine-learning
- Issue type
- Bug
- Difficulty
- 4/5
- Estimated time
- 3-5 days
- Activity status
- Stale
- Clarity
- Needs clarification
- Newbie friendliness
- 25/100