aws / aws/amazon-sagemaker-examples

rl_vehicle_routing_problem_ray_custom.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_resource_allocation_ray_customEnv/rl_vehicle_routing_problem_ray_custom.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, wait_for_training_job_to_complete
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_resource_allocation_ray_customEnv/rl_vehicle_routing_problem_ray_custom.ipynb and inspect the first cell, especially its sys.path setup and the common import. Run the notebook's CI validation to reproduce the ModuleNotFoundError; done means the notebook completes that import and passes CI.

Written by the indexing model from the issue text.

Assessment

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

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