aws / aws/amazon-sagemaker-examples

rl_bin_packing_ray_custom.ipynb failed CI

Open
#2,366 0 comments 0 reactions 0 assignees View on GitHub
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_resource_allocation_ray_customEnv/rl_bin_packing_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_bin_packing_ray_custom.ipynb and inspect the first cell, especially the import from misc. Run the notebook's CI check or first cell to reproduce the ModuleNotFoundError; done means the notebook no longer fails because misc cannot be imported.

Written by the indexing model from the issue text.

Assessment

Tech stack
aws, jupyter-notebook, python
Domain
machine-learning
Issue type
Bug
Difficulty
2/5
Estimated time
1-3 hours
Activity status
Stale
Clarity
Mostly clear
Newbie friendliness
48/100

Get new issues in your inbox

A short digest of beginner-friendly GitHub issues.