# Load libraries
suppressWarnings(suppressMessages(library(parsnip)))
suppressWarnings(suppressMessages(library(rsample)))
suppressWarnings(suppressMessages(library(rpart)))
# Load data
set.seed(1234)
split <- initial_split(kyphosis, prop = 9/10)
spine_train <- training(split)
# Create model and fit
randomForest_fit <- rand_forest(mode = "classification",
mtry = 2,
trees = 2,
min_n = 3) %>%
set_engine("randomForest") %>%
fit_xy(x = spine_train[,2:4], y = spine_train$Kyphosis)
# Save
save(randomForest_fit, file = "inst/extdata/randomForest.rda")
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