aws / aws/amazon-sagemaker-examples

[Bug Report] NotImplemented Error when running Sagemaker Feature Store ingest()

Open
#2,888 5 comments 0 reactions 0 assignees View on GitHub
Dominant language
Jupyter Notebook
Stars
11k
Forks
7k
Avg merge
8h 29m
Merged PRs (30d)
8

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

Open the contributing 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

Get new issues in your inbox

A short digest of beginner-friendly GitHub issues.