# Load libraries
suppressWarnings(suppressMessages(library(parsnip)))
suppressWarnings(suppressMessages(library(tidymodels)))
# Load data
split <- initial_split(mtcars, prop = 9/10)
car_train <- training(split)
car_test <- testing(split)
# Create model and fit
ctrl <- fit_control(verbosity = 0) # Avoid printing output
stanreg_fit <- linear_reg() %>%
set_engine("stan") %>%
fit(mpg ~ ., data = car_train, control = ctrl)
# Save
save(stanreg_fit, file = "inst/extdata/stanreg.rda")
# Another model
suppressWarnings(suppressMessages(library(caret)))
data(GermanCredit)
stanlog_fit <- logistic_reg() %>%
set_engine(
"stan",
iter = 5000,
seed = 2347
) %>%
fit(Class ~ Age + ForeignWorker + Property.RealEstate + CreditHistory.Critical,
data = GermanCredit)
# Save
# save(stanlog_fit, file = "inst/extdata/stanlog.rda")
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