aws / aws/amazon-sagemaker-examples
automating_auto_insurance_claim_processing.ipynb failed CI
- Dominant language
- Jupyter Notebook
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- Avg merge
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- Merged PRs (30d)
- 8
Description
Link to the notebook:
https://github.com/aws/amazon-sagemaker-examples/blob/master/aws_marketplace/using_model_packages/auto_insurance/automating_auto_insurance_claim_processing.ipynb
Error:
---------------------------------------------------------------------------
Exception encountered at "In [5]":
---------------------------------------------------------------------------
ClientError Traceback (most recent call last)
in
8
9 #Deploy the model
---> 10 predictor_damage_detection = damage_detection_model.deploy(1, 'ml.m4.xlarge', endpoint_name=endpoint_name_1)
/opt/conda/lib/python3.7/site-packages/sagemaker/model.py in deploy(self, initial_instance_count, instance_type, serializer, deserializer, accelerator_type, endpoint_name, tags, kms_key, wait, data_capture_config, **kwargs)
761 self._base_name = "-".join((self._base_name, compiled_model_suffix))
762
--> 763 self._create_sagemaker_model(instance_type, accelerator_type, tags
[...]
ClientError: An error occurred (ValidationException) when calling the CreateModel operation: Caller is not subscribed to the marketplace offering.
Contributor guide
Research direction
Open aws_marketplace/using_model_packages/auto_insurance/automating_auto_insurance_claim_processing.ipynb and inspect the deployment in In [5]. Reproduce the CreateModel ValidationException and determine how the marketplace subscription requirement affects CI. Done means the notebook's CI run no longer fails for this deployment path.
Written by the indexing model from the issue text.
Assessment
- Tech stack
- aws, jupyter-notebook, python
- Domain
- cloud, machine-learning
- Issue type
- Bug
- Difficulty
- 4/5
- Estimated time
- 3-5 days
- Activity status
- Stale
- Clarity
- Needs clarification
- Newbie friendliness
- 30/100