aws / aws/amazon-sagemaker-examples
[Bug Report]Issue related to Pipeline, unable to create the pipeline
- Dominant language
- Jupyter Notebook
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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/main/end_to_end/nlp_mlops_company_sentiment/nlp_company_earnings_analysis_pipeline.ipynb
**Describe the bug**
Unable to create and start the pipeline, when runing `pipeline.upsert(role_arn=role)` , reported `KeyError: 'HFSECFinBertDeployModel'` , then I tried the following code to Examine the JSON pipeline definition to ensure that it's well-formed:
```
import json
json.loads(pipeline.definition())
```
the result appears same key error.
pls help.
Contributor guide
Research direction
Open end_to_end/nlp_mlops_company_sentiment/nlp_company_earnings_analysis_pipeline.ipynb and reproduce the failure at pipeline.upsert(role_arn=role). Inspect pipeline.definition() and the reported HFSECFinBertDeployModel KeyError; done means the notebook can create and start the pipeline without that error.
Written by the indexing model from the issue text.
Assessment
- Tech stack
- aws, jupyter-notebook
- Domain
- cloud, machine-learning
- Issue type
- Bug
- Difficulty
- 3/5
- Estimated time
- 1-2 days
- Activity status
- Stale
- Clarity
- Needs clarification
- Newbie friendliness
- 25/100