aws / aws/amazon-sagemaker-examples

rl_portfolio_management_coach_customEnv.ipynb failed CI

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Dominant language
Jupyter Notebook
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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_portfolio_management_coach_customEnv/rl_portfolio_management_coach_customEnv.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

ModuleNotFoundError: No module named 'misc'

Contributor guide

Open the contributing guide

Research direction

Open reinforcement_learning/rl_portfolio_management_coach_customEnv/rl_portfolio_management_coach_customEnv.ipynb and run its first cell in the CI environment. Check how the notebook adds the common path and resolves misc.get_execution_role and wait_for_s3_object; done means the notebook passes CI without the ModuleNotFoundError.

Written by the indexing model from the issue text.

Assessment

Tech stack
aws, jupyter-notebook, python
Domain
cloud, machine-learning, testing
Issue type
Bug
Difficulty
2/5
Estimated time
1-3 hours
Activity status
Stale
Clarity
Mostly clear
Newbie friendliness
35/100

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