fairmodels 1.2.1
- changed link to codecov in
README.md
- changed
class(x) == 'fairness_regression_object to
inherits(x, "fairness_regression_object") in
plot_density.R according to CRAN comments
- changed CITATION file (added reference to the RJournal)
- fix for https://github.com/ModelOriented/fairmodels/issues/49
- fix for https://github.com/ModelOriented/fairmodels/issues/48
fairmodels 1.2.0
- Added filtering metrics when plotting and printing of
fairness_object.
- Added ability to add custom measure function to print method of
fairness_object
- Refactored code with tidyverse style
- Changed the order of metrics in
metric_scores plot to
match the ones in fairness_check
- Added instruction for creating custom metric in README
- Added references to vignettes
- Enhanced the advanced vignette
fairmodels 1.1.1
- Fixed error which appeared when 2 fairness objects had the same
labels in them. Now if this appears it throws an error. (#41)
privileged parameter is now converted to character. (#41)reweight() function now accepts factors (#41)
fairmodels 1.1.0
- Added function
fairness_check_regression() that
supports regression models along with 2 plot types (#38).
- Added additional tests.
- Modularized
fairness_check() code.
- Changed x-axis ticks generation in
fairness_check().
- Fixed issues with `plot_density
- Updated links in README and DESCRIPTION.
fairmodels 1.0.1
- Changed examples - added parameter
num.threads = 1 to
ranger and added donttest{} to examples with long
computation time.
fairmodels 1.0.0
- Added citation information
- Added additional reference in
fairness_check()
documentation.
- Fixed links in DESCRIPTION and README.
fairmodels 0.2.6
- Fixed bug which appeared when two fairness objects were passed to
fairness_check without an explainer. (#36)
fairmodels 0.2.5
- Extended documentation for
epsilon parameter in
fairness_check() function.
fairmodels 0.2.4
- Deleted on-load information message about four-fifths rule.
- Fixed bug with
NA warning in metrics that are not
chosen. (#32)
fairmodels 0.2.3
- Fixed the way the
parity_loss is calculated in
all_cutoffs and ceteris_paribus_cutoff. (#24)
- Updated vignettes
- changed documentation of functions to explicitly state metrics
instead of
fairness_check_metrics(). (#29)
- Fixed typos (#27 and
#28)
- Changed conclusion drawn from density plot in
Basic Tutorial (#26)
fairmodels 0.2.2
fairness_check_data now instead of 0 has
NA due to concerns of interpretability - insignificant
difference could lead up to maximal value of loss. With that change when
NA is created user will see warning when plotting or
printing. This doesn’t affect other objects and plots.- Description fixes
- Added
metric_scores plot to basic tutorial
- Updated new documentation in
roc_pivot
fairmodels 0.2.1
- bug related to
fairness check plot fixed - rectangles
did not appear for low epsilon values
fairmodels 0.2.0
- adhering to four-fifths (80%) rule - changed fairness check and
parity loss calculation. Now ratio is being calculated instead of
differences.(#17)
- Some plots now have default fairness metrics - same as in
fairness_check
stack_metrics now has parameter
fairness_metrics- corrected vignettes
- enhanced tests
fairmodels 0.1.1
- changed examples in
metric_scores function
- changed
DALEX URL in README
- changed pre-processing to preprocessing in DESCRIPTION
fairmodels 0.1.0
- main function
fairness_check() implemented
- various bias visualization functions implemented
- pre-processing and post-processing bias mitigation techniques
implemented
- 2 vignettes present