aws / aws/amazon-sagemaker-examples
blazingtext_word2vec_subwords_text8.ipynb failed CI
- Dominant language
- Jupyter Notebook
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- Avg merge
- 8h 29m
- Merged PRs (30d)
- 8
Description
Link to the notebook:
https://github.com/aws/amazon-sagemaker-examples/blob/master/introduction_to_amazon_algorithms/blazingtext_word2vec_subwords_text8/blazingtext_word2vec_subwords_text8.ipynb
Error:
---------------------------------------------------------------------------
Exception encountered at "In [13]":
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ModelError Traceback (most recent call last)
in
3 payload = {"instances" : words}
4
----> 5 response = bt_endpoint.predict(json.dumps(payload))
6
7 vecs = json.loads(response)
/opt/conda/lib/python3.7/site-packages/sagemaker/predictor.py in predict(self, data, initial_args, target_model, target_variant, inference_id)
134
[...]
ModelError: An error occurred (ModelError) when calling the InvokeEndpoint operation: Received client error (415) from model with message "content-type application/octet-stream not supported". See https://us-west-2.console.aws.amazon.com/cloudwatch/home?region=us-west-2#logEventViewer:group=/aws/sagemaker/Endpoints/blazingtext-2021-05-11-00-14-09-104 in account 521695447989 for more information.
Contributor guide
Research direction
Open introduction_to_amazon_algorithms/blazingtext_word2vec_subwords_text8/blazingtext_word2vec_subwords_text8.ipynb and inspect cell In[13], where the endpoint prediction fails. Run the notebook or its CI check and trace the SageMaker endpoint request; done means the prediction completes without the reported 415 content-type error and CI passes.
Written by the indexing model from the issue text.
Assessment
- Tech stack
- aws, jupyter-notebook, machine-learning
- Domain
- cloud, machine-learning, testing
- Issue type
- Bug
- Difficulty
- 3/5
- Estimated time
- 1-2 days
- Activity status
- Stale
- Clarity
- Needs clarification
- Newbie friendliness
- 35/100