ag027592 / labelshiftexperiments

Label shift experiments

Geek Repo:Geek Repo

Github PK Tool:Github PK Tool

Accompanying code for the paper Maximum Likelihood With Bias-Corrected Calibration is Hard-To-Beat at Label Shift Adaptation
Accepted to ICML 2020
Authors: Amr Alexandari*, Anshul Kundaje† and Avanti Shrikumar*†
*co-first authors, †co-corresponding authors

See https://colab.research.google.com/github/kundajelab/labelshiftexperiments/blob/master/notebooks/demo/blog_colab.ipynb for a demo notebook illustrating the core functionality

Core calibration and label shift adaptation code lives in https://github.com/kundajelab/abstention

See the notebooks/ folder for code to replicate tables in the paper, and post a github issue if you have questions!

About

Label shift experiments


Languages

Language:Jupyter Notebook 95.5%Language:Python 4.5%