aws / aws/amazon-sagemaker-examples

[SPARKML] sparkml_serving_emr_mleap_abalone.ipynb issues

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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

Open the contributing 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

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