Fair Models in Machine Learning
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Documentation for package ‘fairml’ version 0.8
Help Pages
| fairml-package | Fair models in machine learning |
| adult | Census Income |
| all.equal.fair.model | Extract information from fair.model objects |
| bank | Bank Marketing |
| coef.fair.model | Extract information from fair.model objects |
| communities.and.crime | Communities and Crime Data Set |
| compas | Criminal Offenders Screened in Florida |
| cv.folds | Cross-Validation for Fair Models |
| cv.loss | Cross-Validation for Fair Models |
| cv.unfairness | Cross-Validation for Fair Models |
| deviance.fair.model | Extract information from fair.model objects |
| drug.consumption | Drug Consumption |
| fairml | Fair models in machine learning |
| fairml.cv | Cross-Validation for Fair Models |
| fairness.profile.plot | Profile Fair Models with Respect to Tuning Parameters |
| fgrrm | Fair Ridge Regression Model |
| fitted.fair.model | Extract information from fair.model objects |
| flchain | Obesity Levels |
| frrm | Fair Ridge Regression Model |
| german.credit | German Credit Data |
| health.retirement | Health and Retirement Survey |
| law.school.admissions | Law School Admission Council data |
| logLik.fair.model | Extract information from fair.model objects |
| methods for fair.model objects | Extract information from fair.model objects |
| national.longitudinal.survey | Income and Labour Market Activities |
| nclm | Nonconvex Optimization for Regression with Fairness Constraints |
| nobs.fair.model | Extract information from fair.model objects |
| obesity.levels | Obesity Levels |
| plot.fair.model | Extract information from fair.model objects |
| predict.fgrrm | Extract information from fair.model objects |
| predict.frrm | Extract information from fair.model objects |
| predict.nclm | Extract information from fair.model objects |
| predict.zlm | Extract information from fair.model objects |
| predict.zlrm | Extract information from fair.model objects |
| print.fair.model | Extract information from fair.model objects |
| residuals.fair.model | Extract information from fair.model objects |
| sigma.fair.model | Extract information from fair.model objects |
| summary.fair.model | Extract information from fair.model objects |
| vu.test | Synthetic data set to test fair models |
| zlm | Zafar's Linear and Logistic Regressions |
| zlm.orig | Zafar's Linear and Logistic Regressions |
| zlrm | Zafar's Linear and Logistic Regressions |
| zlrm.orig | Zafar's Linear and Logistic Regressions |