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Hi! Thank you for building a great package. I'm not sure if anyone is still bugfixing issues, but even if not, then I hope the following will be useful for other users.
I am unsure what the exact source of this bug is, but I suspect it's a combination of an updated R version and using tibbles as data frames. When I run disparate_impact_remover(), I get the following error:
Error in `x[order(x, na.last = na.last, decreasing = decreasing)]`:
! Can't subset columns past the end.
ℹ Locations 383, 410, 435, …, 3673, and 4798 don't exist.
ℹ There is only 1 column.
Run `rlang::last_trace()` to see where the error occurred.
Warning message:
In xtfrm.data.frame(x) : cannot xtfrm data frames
I've fixed this by turning the tibble's column into an array using the following subfunction:
get_group_data = function(data,protected,subgroup,feature) {
#get subdata
Y <- data[protected == subgroup, feature]
#turn tibble/list into array
return(Y[[feature]])
}
and replacing all lines where the to-be-repaired column was extracted from Y <- data[protected == subgroup, feature]
into Y <- get_group_data(data,protected,subgroup,feature)
I'm sure this bug is also present in other functions, but so far I've only used the disparate_impact_remover(). The fix is fairly simple, so I hope you have the time to update the package.
Thank you!
The text was updated successfully, but these errors were encountered:
Hi! Thank you for building a great package. I'm not sure if anyone is still bugfixing issues, but even if not, then I hope the following will be useful for other users.
I am unsure what the exact source of this bug is, but I suspect it's a combination of an updated R version and using tibbles as data frames. When I run disparate_impact_remover(), I get the following error:
I've fixed this by turning the tibble's column into an array using the following subfunction:
and replacing all lines where the to-be-repaired column was extracted from
Y <- data[protected == subgroup, feature]
into
Y <- get_group_data(data,protected,subgroup,feature)
I'm sure this bug is also present in other functions, but so far I've only used the disparate_impact_remover(). The fix is fairly simple, so I hope you have the time to update the package.
Thank you!
The text was updated successfully, but these errors were encountered: