Skip to content

jjfeng/aACP_time_trends

Folders and files

NameName
Last commit message
Last commit date

Latest commit

 
 
 
 
 
 
 

Repository files navigation

Learning how to approve updates to machine learning algorithms

Published at ACM Conference on Healthcare, Inference, and Learning 2021. Manuscript availabe at [https://dl.acm.org/doi/10.1145/3450439.3451864]

Installation

We recommend creating a virtual environment with Python 3.6.7 and installing packages listed in requirements.txt.

We use nestly + SCons to run simulations and data analyses. Activate the virtual environment and then run scons <experiment_folder_name>.

General pipeline

See simulation_* and experiment_* to reproduce the experiments in the paper.

About

No description, website, or topics provided.

Resources

Stars

Watchers

Forks

Releases

No releases published

Packages

No packages published

Languages