predict.fairadapt | R Documentation |
fairadapt
object.Prediction function for new data from a saved fairadapt
object.
## S3 method for class 'fairadapt'
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 fairadapt
object. In
particular, newdata
should contain column names that appear in the formula
argument that was used when calling fairadapt()
(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 <- fairadapt(score ~ .,
train.data = head(uni_admission, n = n_samp),
adj.mat = uni_adj,
prot.attr = "gender"
)
predict(object = uni_ada, newdata = tail(uni_admission, n = n_samp))
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