# Load libraries
suppressWarnings(suppressMessages(library(parsnip)))
suppressWarnings(suppressMessages(library(rsample)))
suppressWarnings(suppressMessages(library(rpart)))
# Load data
set.seed(1234)
split <- initial_split(mtcars, prop = 9/10)
car_train <- training(split)
# Create model and fit
rpart_fit <- decision_tree(mode = "regression") %>%
set_engine("rpart") %>%
fit(mpg ~ ., data = car_train,
minsplit = 5,
cp = 0.1)
# Save
save(rpart_fit, file = "inst/extdata/rpart.rda")
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