Skip to content

lab-sigma/LSC

Folders and files

NameName
Last commit message
Last commit date

Latest commit

 

History

8 Commits
 
 
 
 
 
 
 
 
 
 
 
 

Repository files navigation

Least Square Calibration for Peer Reviews

Requirements

  • gurobipy -> for solving convex programs
  • GPy -> for Bayesian baseline
  • numpy
  • pandas

To generate paper review data, execute

python generate_data.py

which will generate 20 trials of paper review data in the data/linear folder.

To generate data from the peer grading dataset, execute

python convert_peer_grade.py

To run a model on these 20 trials, execute

python main.py --m $model

where $model can be one of LSC_mono, LSC_card, QP, bayesian

To run a model in the noisy setting, change noise_std at line 183 of main.py to 0.5, and then execute the command above.

About

Least Square Calibration for Peer Reviews

Resources

Stars

Watchers

Forks

Releases

No releases published

Packages

No packages published

Languages