aws / aws/amazon-sagemaker-examples
rl_managed_spot_cartpole_coach_gymEnv.ipynb failed CI
- Dominant language
- Jupyter Notebook
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- 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_managed_spot_cartpole_coach/rl_managed_spot_cartpole_coach_gymEnv.ipynb
Error:
---------------------------------------------------------------------------
Exception encountered at "In [1]":
---------------------------------------------------------------------------
ModuleNotFoundError Traceback (most recent call last)
in
11 from time import gmtime, strftime
12 sys.path.append("common")
---> 13 from misc import get_execution_role, wait_for_s3_object
14 from sagemaker.rl import RLEstimator, RLToolkit, RLFramework
ModuleNotFoundError: No module named 'misc'
Contributor guide
Research direction
Open reinforcement_learning/rl_managed_spot_cartpole_coach/rl_managed_spot_cartpole_coach_gymEnv.ipynb and inspect the first cell around sys.path.append("common") and the import of misc. Run the notebook's CI validation to reproduce the ModuleNotFoundError; done means the notebook runs past that cell without the missing-module failure.
Written by the indexing model from the issue text.
Assessment
- Tech stack
- jupyter-notebook, python
- Domain
- machine-learning, testing
- Issue type
- Bug
- Difficulty
- 2/5
- Estimated time
- 1-3 hours
- Activity status
- Stale
- Clarity
- Clearly specified
- Newbie friendliness
- 35/100