vu.test

Synthetic data set used as test cases in the fairml package.

datasets

synthetic data sets

Fair machine learning regression models which take sensitive attributes into account in
model estimation. Currently implementing Komiyama et al. (2018)
<http://proceedings.mlr.press/v80/komiyama18a/komiyama18a.pdf>, Zafar et al.
(2019) <https://www.jmlr.org/papers/volume20/18-262/18-262.pdf> and my own
approach from Scutari, Panero and Proissl (2022)
<https://link.springer.com/content/pdf/10.1007/s11222-022-10143-w.pdf>
that uses ridge regression to enforce fairness.

Marco Scutari

fairml

Fair Models in Machine Learning

synthetic data sets function

The data are stored a list with following three elements:<ul>
<li><code>gaussian</code>, <code>binomial</code>, <code>poisson</code>, <code>coxph</code> and
 <code>multinomial</code> are response variables for the different families;</li>
<li><code>X</code>, a numeric matrix containing 3 predictors called <code>X1</code>,
 <code>X2</code> and <code>X3</code>;</li>
<li><code>S</code>, a numeric matrix containing 3 sensitive attributes called
 <code>S1</code>, <code>S2</code> and <code>S3</code>.</li>
</ul>

Format

Author

Synthetic data set used as test cases in the fairml package.

Synthetic data set to test fair models — synthetic data sets

The data are stored a list with following three elements:<ul>
<li><code>gaussian</code>, <code>binomial</code>, <code>poisson</code>, <code>coxph</code> and
 <code>multinomial</code> are response variables for the different families;</li>
<li><code>X</code>, a numeric matrix containing 3 predictors called <code>X1</code>,
 <code>X2</code> and <code>X3</code>;</li>
<li><code>S</code>, a numeric matrix containing 3 sensitive attributes called
 <code>S1</code>, <code>S2</code> and <code>S3</code>.</li>
</ul>

synthetic data sets: Synthetic data set to test fair models

Description

Usage

Arguments

Format

Author

Examples