library(modeldata)
data(credit_data)
test_that("logist_reg works", {
expect_error(
mdl <- logistic_reg(credit_data[, setdiff(colnames(credit_data), "Status")],
credit_data$Status),
NA
)
})
test_that("predict.logistic_reg works", {
mdl <- logistic_reg(credit_data[, setdiff(colnames(credit_data), "Status")],
credit_data$Status)
expect_error(
preds <- predict(mdl, new_data = credit_data),
NA
)
})
test_that("ds_logistic_reg work", {
data("states")
states <- states %>%
dplyr::filter(complete.cases(.))
expect_error(
mdl <- ds_logistic_reg("v2x_veracc_osp", states),
NA
)
})
test_that("predict.ds_logistic_reg works", {
data("states")
states <- states %>%
dplyr::filter(complete.cases(.))
mdl <- ds_logistic_reg("v2x_veracc_osp", states)
expect_error(
preds <- predict(mdl, new_data = states),
NA
)
})
test_that("normalize option works but does not affect preds", {
data("states")
states <- states %>%
dplyr::filter(complete.cases(.))
mdl_raw <- ds_logistic_reg("v2x_veracc_osp", states, normalize = FALSE)
preds_raw <- predict(mdl_raw, new_data = states)
mdl_std <- ds_logistic_reg("v2x_veracc_osp", states, normalize = TRUE)
preds_std <- predict(mdl_std, new_data = states)
expect_equal(
nrow(preds_raw),
nrow(preds_std)
)
# the raw and std preds differ
# expect_equal(
# preds_raw,
# preds_std
# )
# plot(preds_raw$p_up, preds_std$p_up)
#
# x2 <- mdl_std$standardize(states)
# x1 <- mdl_raw$standardize(states)
# x1 <- x1[, names(x1) %in% names(x2)]
# NC <- ncol(x1)
# png("~/Desktop/histograms.png", height = 1600, width = 2048)
# par(mfrow = c(5, 6))
# for (i in 1:NC) {
# hist(x1[[i]], main = sprintf("raw %s", names(x1)[i]))
# hist(x2[[i]], main = sprintf("std %s", names(x2)[i]))
# }
# dev.off()
})
Add the following code to your website.
For more information on customizing the embed code, read Embedding Snippets.