aws / aws/amazon-sagemaker-examples
[Bug Report] NotImplemented Error when running Sagemaker Feature Store ingest()
- Dominant language
- Jupyter Notebook
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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/sagemaker-featurestore/feature_store_introduction.ipynb
**Describe the bug**
When I try to run the sagemaker feature store intro (above notebook) I get a NotImplemented error when I get to the cells that call ingest(). Example block:
`customers_feature_group.ingest(data_frame=customer_data, max_workers=3, wait=True)`
Code before that executes fine, and I am able to see the empty feature groups created in my bucket.
**To reproduce**
Run through the code for that notebook exactly (only location of s3 bucket is changed for my location).
I am running on python 3.8.3 through anaconda. Our AWS rep has tested this and it runs fine for him, so I am not sure if this is a specific environment issue.
**Logs**
full stack track attached.
[stack_track_ingest.txt](https://github.com/aws/amazon-sagemaker-examples/files/7035328/stack_track_ingest.txt)
Contributor guide
Research direction
Open sagemaker-featurestore/feature_store_introduction.ipynb and reproduce the cells calling customers_feature_group.ingest() with Python 3.8.3 through Anaconda. Read the attached stack_track_ingest.txt and compare the failing environment with the stated working environment; done means the notebook's ingest() cells run without NotImplementedError.
Written by the indexing model from the issue text.
Assessment
- Tech stack
- aws, jupyter-notebook, python
- Domain
- cloud, machine-learning
- Issue type
- Bug
- Difficulty
- 3/5
- Estimated time
- 1-2 days
- Activity status
- Stale
- Clarity
- Mostly clear
- Newbie friendliness
- 35/100