Skip to content

SergioAlvarezB/psr-calibration

Folders and files

NameName
Last commit message
Last commit date

Latest commit

 

History

37 Commits
 
 
 
 
 
 
 
 
 
 
 
 
 
 

Repository files navigation

Proper Scoring Rules for calibration.

This repository contains the code for doing calibration on multi-class and binary classification using various approaches. It is a work in progress but the basic functionality is ready. See the experiments directory for examples on how to run the code.

How to install

  1. Clone this repository:

    git clone https://github.com/luferrer/expected_cost.git

  2. Install the requirements:

    pip install -r requirements.txt

About

Code for reproducing experiments of the paper.

Resources

License

Stars

Watchers

Forks

Releases

No releases published

Packages

No packages published

Contributors 3

  •  
  •  
  •  

Languages