mkusner / counterfactual-fairness Goto Github PK
View Code? Open in Web Editor NEWCode for "Counterfactual Fairness" (NIPS2017)
Code for "Counterfactual Fairness" (NIPS2017)
Hello,
First off want to thank you and your co-authors for the important work. Really appreciate it.
Was looking over your R code for the different (fair and unfair) classification analyses with the law data.
As all of the dummy variables are used as features, wouldn't some of the coefficients be returned as NA? (since the features are perfectly linearly correlated)
I think R's default is not to return an error for a singular fit (the singular.ok argument of lm).
Put another way, wouldn't you have to drop one of the dummy variables for each category and set it as your base category?
Thanks for your help.
Take care.
Michael
race | sex | LSAT | UGPA | region_first | ZFYA | sander_index | first_pf
Specially, UGPA, ZFYA, sander_index, first_pf.
Thx~
A declarative, efficient, and flexible JavaScript library for building user interfaces.
๐ Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
An Open Source Machine Learning Framework for Everyone
The Web framework for perfectionists with deadlines.
A PHP framework for web artisans
Bring data to life with SVG, Canvas and HTML. ๐๐๐
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
Some thing interesting about web. New door for the world.
A server is a program made to process requests and deliver data to clients.
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
Some thing interesting about visualization, use data art
Some thing interesting about game, make everyone happy.
We are working to build community through open source technology. NB: members must have two-factor auth.
Open source projects and samples from Microsoft.
Google โค๏ธ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.