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* plot scale fix and regression * description and fixes * test and fixes * update tests * Bump version and update NEWS * fix plot density * Update links and descriptions * add NEWS entry * update README * add seed
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| Original file line number | Diff line number | Diff line change |
|---|---|---|
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| Package: fairmodels | ||
| Type: Package | ||
| Title: Flexible Tool for Bias Detection, Visualization, and Mitigation | ||
| Version: 1.0.1 | ||
| Authors@R: | ||
| c(person("Jakub", "Wiśniewski", role = c("aut", "cre"), | ||
| email = "jakwisn@gmail.com"), | ||
| person("Przemysław", "Biecek", role = c("aut"), | ||
| comment = c(ORCID = "0000-0001-8423-1823"))) | ||
| Description: Measure fairness metrics in one place for many models. Check how big is model's bias towards different races, sex, nationalities etc. Use measures such as Statistical Parity, Equal odds to detect the discrimination against unprivileged groups. Visualize the bias using heatmap, radar plot, biplot, bar chart (and more!). There are various pre-processing and post-processing bias mitigation algorithms implemented. Find more details in (Wiśniewski, Biecek (2021)) <arXiv:2104.00507>. | ||
| License: GPL-3 | ||
| Encoding: UTF-8 | ||
| LazyData: true | ||
| Depends: R (>= 3.5) | ||
| Imports: | ||
| DALEX, | ||
| ggplot2, | ||
| patchwork, | ||
| ggdendro, | ||
| ggrepel, | ||
| scales | ||
| Suggests: | ||
| ranger, | ||
| gbm, | ||
| knitr, | ||
| rmarkdown, | ||
| covr, | ||
| testthat, | ||
| spelling | ||
| RoxygenNote: 7.1.1.9000 | ||
| VignetteBuilder: knitr | ||
| URL: http://fairmodels.drwhy.ai/ | ||
| BugReports: https://github.com/ModelOriented/fairmodels/issues | ||
| Language: en-US | ||
| Package: fairmodels | ||
| Type: Package | ||
| Title: Flexible Tool for Bias Detection, Visualization, and Mitigation | ||
| Version: 1.1.0 | ||
| Authors@R: | ||
| c(person("Jakub", "Wiśniewski", role = c("aut", "cre"), | ||
| email = "jakwisn@gmail.com"), | ||
| person("Przemysław", "Biecek", role = c("aut"), | ||
| comment = c(ORCID = "0000-0001-8423-1823"))) | ||
| Description: Measure fairness metrics in one place for many models. Check how big is model's bias towards different races, sex, nationalities etc. Use measures such as Statistical Parity, Equal odds to detect the discrimination against unprivileged groups. Visualize the bias using heatmap, radar plot, biplot, bar chart (and more!). There are various pre-processing and post-processing bias mitigation algorithms implemented. Package also supports calculating fairness metrics for regression models. Find more details in (Wiśniewski, Biecek (2021)) <arXiv:2104.00507>. | ||
| License: GPL-3 | ||
| Encoding: UTF-8 | ||
| LazyData: true | ||
| Depends: R (>= 3.5) | ||
| Imports: | ||
| DALEX, | ||
| ggplot2, | ||
| patchwork, | ||
| ggdendro, | ||
| ggrepel, | ||
| scales | ||
| Suggests: | ||
| ranger, | ||
| gbm, | ||
| knitr, | ||
| rmarkdown, | ||
| covr, | ||
| testthat, | ||
| spelling | ||
| RoxygenNote: 7.1.1.9001 | ||
| VignetteBuilder: knitr | ||
| URL: https://fairmodels.drwhy.ai/ | ||
| BugReports: https://github.com/ModelOriented/fairmodels/issues | ||
| Language: en-US |
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| Original file line number | Diff line number | Diff line change |
|---|---|---|
| @@ -1,65 +1,71 @@ | ||
| # Generated by roxygen2: do not edit by hand | ||
|
|
||
| S3method(plot,all_cutoffs) | ||
| S3method(plot,ceteris_paribus_cutoff) | ||
| S3method(plot,chosen_metric) | ||
| S3method(plot,fairness_heatmap) | ||
| S3method(plot,fairness_object) | ||
| S3method(plot,fairness_pca) | ||
| S3method(plot,fairness_radar) | ||
| S3method(plot,group_metric) | ||
| S3method(plot,metric_scores) | ||
| S3method(plot,performance_and_fairness) | ||
| S3method(plot,stacked_metrics) | ||
| S3method(plot_fairmodels,default) | ||
| S3method(plot_fairmodels,explainer) | ||
| S3method(plot_fairmodels,fairness_object) | ||
| S3method(print,all_cutoffs) | ||
| S3method(print,ceteris_paribus_cutoff) | ||
| S3method(print,chosen_metric) | ||
| S3method(print,fairness_heatmap) | ||
| S3method(print,fairness_object) | ||
| S3method(print,fairness_pca) | ||
| S3method(print,fairness_radar) | ||
| S3method(print,group_metric) | ||
| S3method(print,metric_scores) | ||
| S3method(print,performance_and_fairness) | ||
| S3method(print,stacked_metrics) | ||
| export(all_cutoffs) | ||
| export(calculate_group_fairness_metrics) | ||
| export(ceteris_paribus_cutoff) | ||
| export(choose_metric) | ||
| export(confusion_matrix) | ||
| export(disparate_impact_remover) | ||
| export(expand_fairness_object) | ||
| export(fairness_check) | ||
| export(fairness_heatmap) | ||
| export(fairness_pca) | ||
| export(fairness_radar) | ||
| export(group_matrices) | ||
| export(group_metric) | ||
| export(group_model_performance) | ||
| export(metric_scores) | ||
| export(performance_and_fairness) | ||
| export(plot_density) | ||
| export(plot_fairmodels) | ||
| export(pre_process_data) | ||
| export(resample) | ||
| export(reweight) | ||
| export(roc_pivot) | ||
| export(stack_metrics) | ||
| import(ggplot2) | ||
| import(patchwork) | ||
| importFrom(DALEX,model_performance) | ||
| importFrom(DALEX,theme_drwhy) | ||
| importFrom(DALEX,theme_drwhy_vertical) | ||
| importFrom(ggdendro,dendro_data) | ||
| importFrom(ggdendro,segment) | ||
| importFrom(ggrepel,geom_text_repel) | ||
| importFrom(stats,dist) | ||
| importFrom(stats,ecdf) | ||
| importFrom(stats,hclust) | ||
| importFrom(stats,median) | ||
| importFrom(stats,na.omit) | ||
| importFrom(stats,quantile) | ||
| importFrom(utils,head) | ||
| # Generated by roxygen2: do not edit by hand | ||
|
|
||
| S3method(plot,all_cutoffs) | ||
| S3method(plot,ceteris_paribus_cutoff) | ||
| S3method(plot,chosen_metric) | ||
| S3method(plot,fairness_heatmap) | ||
| S3method(plot,fairness_object) | ||
| S3method(plot,fairness_pca) | ||
| S3method(plot,fairness_radar) | ||
| S3method(plot,fairness_regression_object) | ||
| S3method(plot,group_metric) | ||
| S3method(plot,metric_scores) | ||
| S3method(plot,performance_and_fairness) | ||
| S3method(plot,stacked_metrics) | ||
| S3method(plot_fairmodels,default) | ||
| S3method(plot_fairmodels,explainer) | ||
| S3method(plot_fairmodels,fairness_object) | ||
| S3method(print,all_cutoffs) | ||
| S3method(print,ceteris_paribus_cutoff) | ||
| S3method(print,chosen_metric) | ||
| S3method(print,fairness_heatmap) | ||
| S3method(print,fairness_object) | ||
| S3method(print,fairness_pca) | ||
| S3method(print,fairness_radar) | ||
| S3method(print,fairness_regression_object) | ||
| S3method(print,group_metric) | ||
| S3method(print,metric_scores) | ||
| S3method(print,performance_and_fairness) | ||
| S3method(print,stacked_metrics) | ||
| export(all_cutoffs) | ||
| export(calculate_group_fairness_metrics) | ||
| export(ceteris_paribus_cutoff) | ||
| export(choose_metric) | ||
| export(confusion_matrix) | ||
| export(disparate_impact_remover) | ||
| export(expand_fairness_object) | ||
| export(fairness_check) | ||
| export(fairness_check_regression) | ||
| export(fairness_heatmap) | ||
| export(fairness_pca) | ||
| export(fairness_radar) | ||
| export(group_matrices) | ||
| export(group_metric) | ||
| export(group_model_performance) | ||
| export(metric_scores) | ||
| export(performance_and_fairness) | ||
| export(plot_density) | ||
| export(plot_fairmodels) | ||
| export(pre_process_data) | ||
| export(regression_metrics) | ||
| export(resample) | ||
| export(reweight) | ||
| export(roc_pivot) | ||
| export(stack_metrics) | ||
| import(ggplot2) | ||
| import(patchwork) | ||
| importFrom(DALEX,model_performance) | ||
| importFrom(DALEX,theme_drwhy) | ||
| importFrom(DALEX,theme_drwhy_vertical) | ||
| importFrom(ggdendro,dendro_data) | ||
| importFrom(ggdendro,segment) | ||
| importFrom(ggrepel,geom_text_repel) | ||
| importFrom(stats,binomial) | ||
| importFrom(stats,dist) | ||
| importFrom(stats,ecdf) | ||
| importFrom(stats,glm) | ||
| importFrom(stats,hclust) | ||
| importFrom(stats,median) | ||
| importFrom(stats,na.omit) | ||
| importFrom(stats,quantile) | ||
| importFrom(utils,head) |
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