Nothing
test_multiclass <- function() {
# create example data
set.seed(326346)
sym_bonuses <- rnorm(3)
names(sym_bonuses) <- c("a", "b", "c")
sym_bonuses3 <- rnorm(3)
names(sym_bonuses3) <- as.character(seq_len(length(sym_bonuses3)))
n_row <- 1000
d <- data.frame(x1 = rnorm(n_row),
x2 = sample(names(sym_bonuses), n_row, replace = TRUE),
x3 = sample(names(sym_bonuses3), n_row, replace = TRUE),
y = "NoInfo",
stringsAsFactors = FALSE)
d$y[sym_bonuses[d$x2] > pmax(d$x1, sym_bonuses3[d$x3], runif(n_row))] <- "Large1"
d$y[sym_bonuses3[d$x3] > pmax(sym_bonuses[d$x2], d$x1, runif(n_row))] <- "Large2"
# define problem
vars <- c("x1", "x2", "x3")
y_name <- "y"
y_levels <- sort(unique(d[[y_name]]))
# build the multi-class cross frame and treatments
cfe_m <- mkCrossFrameMExperiment(d, vars, y_name)
sf <- cfe_m$score_frame
cf <- cfe_m$cross_frame
prepped <- prepare(cfe_m$treat_m, d, check_for_duplicate_frames=FALSE)
expect_equal(sort(colnames(prepped)),
sort(colnames(cf)))
expect_equal(character(0),
setdiff(sf$varName, colnames(cf)))
expect_equal("y",
setdiff(colnames(cf), sf$varName))
invisible(NULL)
}
test_multiclass()
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