aws / aws/amazon-sagemaker-examples
unity_mlagents_learn.ipynb failed CI
- 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/advanced_functionality/unity_ml_agents/unity_mlagents_learn.ipynb
Error:
---------------------------------------------------------------------------
Exception encountered at "In [2]":
---------------------------------------------------------------------------
ModuleNotFoundError Traceback (most recent call last)
in
5 import numpy as np
6 import pandas as pd
----> 7 from docker_utils import build_and_push_docker_image
8
9 role = sagemaker.get_execution_role()
ModuleNotFoundError: No module named 'docker_utils'
Contributor guide
Research direction
Open advanced_functionality/unity_ml_agents/unity_mlagents_learn.ipynb and inspect the failing import in In [2]. Trace how docker_utils is made available in the repository, then rerun the notebook's CI check; done means In [2] no longer raises ModuleNotFoundError and the CI check passes.
Written by the indexing model from the issue text.
Assessment
- Tech stack
- aws, docker, jupyter-notebook, python
- Domain
- ci-cd, machine-learning
- Issue type
- Bug
- Difficulty
- 2/5
- Estimated time
- 1-3 hours
- Activity status
- Stale
- Clarity
- Mostly clear
- Newbie friendliness
- 25/100