aws / aws/amazon-sagemaker-examples

automating_auto_insurance_claim_processing.ipynb failed CI

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Dominant language
Jupyter Notebook
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Forks
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Avg merge
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Merged PRs (30d)
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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

Open the contributing 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

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