Fitting a lm model

[chendaniely]

Right before "Your turn 2" in the 01-prediction slides (https://conf20-intro-ml.netlify.com/materials/01-predicting/)

You use the custom fit_dat function to fit the lm model

lm_spec <- 
   linear_reg() %>% # Pick linear regression
   set_engine(engine = "lm") # set engine

fit_data(Sale_Price ~ Gr_Liv_Area, model = lm_spec, data = ames)

You can also do it straight in parsnip now without using the custom fit_data function now

lm_spec <- parsnip::linear_reg() %>%
  parsnip::set_engine(engine = "lm")

parsnip::fit(lm_spec, Sale_Price ~ Gr_Liv_Area, data = ames)

It's even pipe-able!

Not sure if this is a new feature that was added or just to stay consistent with the trees/random forest slides later on.