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mlr3fairness
View on CRAN: Click
here
Download and install mlr3fairness package within the R console
Install from CRAN:
install.packages("mlr3fairness")
Install from Github:
library("remotes")
install_github("cran/mlr3fairness")
Install by package version:
library("remotes")
install_version("mlr3fairness", "0.3.2")
Attach the package and use:
library("mlr3fairness")
Maintained by
Florian Pfisterer
[Scholar Profile | Author Map]
[Scholar Profile | Author Map]
All associated links for this package
10.32614/CRAN.package.mlr3fairness . https://github.com/mlr-org/mlr3fairness/issues . https://mlr3fairness.mlr-org.com . https://github.com/mlr-org/mlr3fairness . mlr3fairness results . mlr3fairness.pdf . mlr3fairness_0.3.2.tar.gz . mlr3fairness_0.3.2.zip . mlr3fairness_0.3.2.zip . mlr3fairness_0.3.2.zip . mlr3fairness_0.3.2.tgz . mlr3fairness_0.3.2.tgz . mlr3fairness_0.3.2.tgz . mlr3fairness_0.3.2.tgz . mlr3fairness archive . https://CRAN.R-project.org/package=mlr3fairness .
First Published: 2022-05-12
Latest Update: 2023-05-04
Description:
Integrates fairness auditing and bias mitigation methods for the 'mlr3' ecosystem.
This includes fairness metrics, reporting tools, visualizations and bias mitigation techniques such as
"Reweighing" described in 'Kamiran, Calders' (2012) and
"Equalized Odds" described in 'Hardt et al.' (2016) .
Integration with 'mlr3' allows for auditing of ML models as well as convenient joint tuning of
machine learning algorithms and debiasing methods.
How to cite:
Florian Pfisterer (2022). mlr3fairness: Fairness Auditing and Debiasing for 'mlr3'. R package version 0.3.2, https://cran.r-project.org/web/packages/mlr3fairness. Accessed 16 Apr. 2025.
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Other R packages that mlr3fairness depends,
imports, suggests or enhances
Complete documentation for mlr3fairness
Functions, R codes and Examples using
the mlr3fairness R package
Some associated functions: MeasureFairness . MeasureFairnessComposite . MeasureFairnessConstraint . MeasureSubgroup . adult . compas . compute_metrics . fairness_accuracy_tradeoff . fairness_compare_metrics . fairness_prediction_density . fairness_tensor . groupdiff_tau . groupwise_metrics . mlr3fairness-package . mlr_learners_classif.fairfgrrm . mlr_learners_classif.fairzlrm . mlr_learners_fairness . mlr_learners_regr.fairfrrm . mlr_learners_regr.fairnclm . mlr_learners_regr.fairzlm . mlr_measures_fairness . mlr_measures_positive_probability . mlr_pipeops_equalized_odds . mlr_pipeops_explicit_pta . mlr_pipeops_reweighing . report_datasheet . report_fairness . report_modelcard . task_summary .
Some associated R codes: MeasureFairness.R . MeasureFairnessComposite.R . MeasureFairnessConstraint.R . MeasurePositiveProbability.R . MeasureSubgroup.R . PipeOpEOd.R . PipeOpExplicitPta.R . PipeOpReweighing.R . aaa.R . adult.R . assertions.R . bibentries.R . compare_metrics.R . compas.R . compute_metrics.R . fairness_accuracy_tradeoff.R . fairness_prediction_density.R . fairness_tensor.R . helpers.R . learner_fairml_classif_fairfgrrm.R . learner_fairml_classif_fairzlrm.R . learner_fairml_regr_fairfrrm.R . learner_fairml_regr_fairnclm.R . learner_fairml_regr_fairzlm.R . measure_operations.R . mlr_learners_fairness.R . mlr_measures_fairness.R . reports.R . zzz.R . Full mlr3fairness package functions and examples
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