fairadapt-package: fairadapt: Fair Data Adaptation with Quantile Preservation
In fairadapt: Fair Data Adaptation with Quantile Preservation
fairadapt-package R Documentation
fairadapt: Fair Data Adaptation with Quantile Preservation
Description
An implementation of the fair data adaptation with quantile preservation described in Plecko & Meinshausen (2019) arXiv:1911.06685. The adaptation procedure uses the specified causal graph to pre-process the given training and testing data in such a way to remove the bias caused by the protected attribute. The procedure uses tree ensembles for quantile regression.
Author(s)
Maintainer: Drago Plecko drago.plecko@stat.math.ethz.ch
Authors:
Nicolas Bennett nicolas.bennett@stat.math.ethz.ch
See Also
Useful links:
fairadapt documentation built on Oct. 10, 2023, 1:07 a.m.
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| fairadapt-package | R Documentation |
fairadapt: Fair Data Adaptation with Quantile Preservation
Description
An implementation of the fair data adaptation with quantile preservation described in Plecko & Meinshausen (2019) arXiv:1911.06685. The adaptation procedure uses the specified causal graph to pre-process the given training and testing data in such a way to remove the bias caused by the protected attribute. The procedure uses tree ensembles for quantile regression.
Author(s)
Maintainer: Drago Plecko drago.plecko@stat.math.ethz.ch
Authors:
Nicolas Bennett nicolas.bennett@stat.math.ethz.ch
See Also
Useful links:
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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