aws / aws/amazon-sagemaker-examples
rl_roboschool_ray_automatic_model_tuning.ipynb failed CI
- Dominant language
- Jupyter Notebook
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- 7k
- 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/master/reinforcement_learning/rl_roboschool_ray/rl_roboschool_ray_automatic_model_tuning.ipynb
Error:
---------------------------------------------------------------------------
Exception encountered at "In [2]":
---------------------------------------------------------------------------
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 docker_utils import build_and_push_docker_image
14 from sagemaker.rl import RLEstimator, RLToolkit, RLFramework
ModuleNotFoundError: No module named 'misc'
Contributor guide
Research direction
Open reinforcement_learning/rl_roboschool_ray/rl_roboschool_ray_automatic_model_tuning.ipynb and inspect In [2], especially the sys.path setup and the import of misc. Re-run the notebook or its CI check to identify why misc is unavailable; done means the notebook no longer raises ModuleNotFoundError in that cell.
Written by the indexing model from the issue text.
Assessment
- Tech stack
- aws, jupyter-notebook, python
- Domain
- machine-learning, testing-qa
- Issue type
- Bug
- Difficulty
- 3/5
- Estimated time
- 1-2 days
- Activity status
- Stale
- Clarity
- Needs clarification
- Newbie friendliness
- 25/100