butcher: Model Butcher

# Load libraries
suppressWarnings(suppressMessages(library(parsnip)))
suppressWarnings(suppressMessages(library(rsample)))

# Load data
set.seed(1234)
split <- initial_split(iris, prop = 9/10)
iris_train <- training(split)

# Create model and fit
ranger_fit <- rand_forest(mode = "classification",
                          mtry = 2,
                          trees = 20,
                          min_n = 3) %>%
  set_engine("ranger") %>%
  fit(Species ~ ., data = iris_train)

# Save
save(ranger_fit, file = "inst/extdata/ranger.rda")

# Another example
ranger_reg_fit <- rand_forest(mode = "regression") %>%
  update(min_n = max(8, floor(.obs()/10))) %>%
  update(mtry = 4) %>%
  set_engine("ranger") %>%
  fit(Sepal.Width ~ ., data = iris)

# Save
save(ranger_reg_fit, file = "inst/extdata/ranger_reg.rda")