# Exits
if (!requireNamespace("caret", quietly = TRUE)) {
exit_file("Package caret missing")
}
if (!requireNamespace("pls", quietly = TRUE)) {
exit_file("Package pls missing")
}
# # Load required packages
# suppressMessages({
# library(caret)
# library(pls)
# })
# Generate Friedman benchmark data
friedman1 <- gen_friedman(seed = 101)
# Fit model(s)
fit <- pls::mvr(y ~ ., data = friedman1)
# Compute VI scores
vis <- vi_model(fit)
# Expectations for `vi_model()`
expect_identical(
current = vis$Importance,
target = caret::varImp(fit)$Overall
)
# Expectations for `get_training_data()`
expect_identical(
current = vip:::get_training_data.default(fit),
target = friedman1
)
# Expectations for `get_feature_names()`
expect_identical(
current = vip:::get_feature_names.mvr(fit),
target = paste0("x", 1L:10L)
)
# Call `vip::vip()` directly
p <- vip(fit, method = "model", include_type = TRUE)
# Expect `p` to be a `"gg" "ggplot"` object
expect_identical(
current = class(p),
target = c("gg", "ggplot")
)
# Display VIPs side by side
grid.arrange(
vip(vis, include_type = TRUE),
p,
nrow = 1
)
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