Nothing
test_that("create_weighting works as expected.", {
skip_on_cran()
set.seed(481)
data.table::setDTthreads(1)
mydata <- generate_syn_data(sample_size = 100)
mydata$id <- seq_along(1:nrow(mydata))
m_xgboost <- function(nthread = 4,
ntrees = 35,
shrinkage = 0.3,
max_depth = 5,
...) {SuperLearner::SL.xgboost(
nthread = nthread,
ntrees = ntrees,
shrinkage=shrinkage,
max_depth=max_depth,
...)}
assign("m_xgboost", m_xgboost, envir = .GlobalEnv)
data_with_gps_1 <- estimate_gps(
.data = mydata,
.formula = w ~ I(cf1^2) + cf2 + I(cf3^2) + cf4 + cf5 + cf6,
sl_lib = c("m_xgboost"),
gps_density = "normal")
result <- create_weighting(dataset = data_with_gps_1$.data,
exposure_col_name = "w")
expect_equal(length(result), 7)
expect_equal(nrow(result), 100)
})
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