predict.fairadaptBoot | R Documentation |
fairadaptBoot
object.Prediction function for new data from a saved fairadaptBoot
object.
## S3 method for class 'fairadaptBoot'
predict(object, newdata, ...)
object |
Object of class |
newdata |
A |
... |
Additional arguments forwarded to |
The newdata
argument should be compatible with adapt.test
argument that was used when constructing the fairadaptBoot
object. In
particular, newdata
should contain column names that appear in the
formula
argument that was used when calling fairadaptBoot()
(apart from
the outcome variable on the LHS of the formula).
A data.frame
containing the adapted version of the new data.
n_samp <- 200
uni_dim <- c( "gender", "edu", "test", "score")
uni_adj <- matrix(c( 0, 1, 1, 0,
0, 0, 1, 1,
0, 0, 0, 1,
0, 0, 0, 0),
ncol = length(uni_dim),
dimnames = rep(list(uni_dim), 2),
byrow = TRUE)
uni_ada_boot <- fairadaptBoot(score ~ .,
train.data = head(uni_admission, n = n_samp),
adj.mat = uni_adj,
prot.attr = "gender",
n.boot = 5,
keep.object = TRUE
)
predict(object = uni_ada_boot, newdata = tail(uni_admission, n = n_samp))
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