aws / aws/amazon-sagemaker-examples
rl_cartpole_batch_coach.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/reinforcement_learning/rl_cartpole_batch_coach/rl_cartpole_batch_coach.ipynb
Error:
---------------------------------------------------------------------------
Exception encountered at "In [1]":
---------------------------------------------------------------------------
ModuleNotFoundError Traceback (most recent call last)
in
10 from time import gmtime, strftime
11 sys.path.append("common")
---> 12 from misc import get_execution_role, wait_for_s3_object
13 from sagemaker.rl import RLEstimator, RLToolkit, RLFramework
14 # install gym environments if needed
ModuleNotFoundError: No module named 'misc'
Contributor guide
Research direction
Open reinforcement_learning/rl_cartpole_batch_coach/rl_cartpole_batch_coach.ipynb and inspect the first cell around sys.path.append("common") and the failing misc import. Reproduce the CI failure by running the notebook or its check; done means the import succeeds and CI completes without this ModuleNotFoundError.
Written by the indexing model from the issue text.
Assessment
- Tech stack
- aws, jupyter-notebook, python
- Domain
- machine-learning
- Issue type
- Bug
- Difficulty
- 3/5
- Estimated time
- 1-2 days
- Activity status
- Stale
- Clarity
- Needs clarification
- Newbie friendliness
- 35/100