Nothing
context("Check describe() function")
library("DALEX")
library("ranger")
model_titanic_rf <- ranger(survived ~., data = titanic_imputed, probability = TRUE)
explain_titanic_rf <- explain(model_titanic_rf,
data = titanic_imputed[,-8],
y = titanic_imputed$survived,
label = "rf", verbose = FALSE)
selected_passanger <- select_sample(titanic_imputed, n = 1)
cp_rf <- ceteris_paribus(explain_titanic_rf, selected_passanger, variable_type = "categorical")
description <- describe(cp_rf, variables = "gender", display_numbers = TRUE,
label = "the predicted probability")
test_that("Output format", {
expect_is(description, "ceteris_paribus_description")
})
variables <- c("gender", "class", "embarked")
n <- 2
test <- expand.grid(replicate(n, c(TRUE,FALSE), simplify = FALSE))
test_result <- sapply(variables, function(y) {
apply(test, MARGIN = 1, function(x){
selected_passanger <- select_sample(titanic, n = 1)
cp_rf <- ceteris_paribus(explain_titanic_rf, selected_passanger)
description <- describe(cp_rf,
variables = y,
display_values = x[[1]],
display_numbers = x[[2]])
test_that("Output format", {
expect_is(description, "ceteris_paribus_description")
})
})
})
test_result <- sapply(variables, function(y) {
pdp <- aggregate_profiles(cp_rf, type = "partial", variable_type = "categorical")
description <- describe(pdp,
variables = y,
display_numbers = TRUE)
test_that("Output format", {
expect_is(description, "aggregated_profiles_description")
})
description <- describe(pdp,
variables = y,
display_numbers = FALSE)
test_that("Output format", {
expect_is(description, "aggregated_profiles_description")
})
})
fi_lm <- feature_importance(explain_titanic_rf)
test_that("Output format", {
expect_is(describe(fi_lm), "feature_importance_description")
})
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