Fitting Target — tar_fit • modeltargets

Fitting Target

tar_fit(
  name,
  object,
  formula,
  data,
  control = parsnip::control_parsnip(),
  ...,
  tar_args = list()
)

Arguments

name	Name of target
object	An object of class `model_spec` that has a chosen engine (via `set_engine()`).
formula	An object of class "formula" (or one that can be coerced to that class): a symbolic description of the model to be fitted.
data	Optional, depending on the interface (see Details below). A data frame containing all relevant variables (e.g. outcome(s), predictors, case weights, etc). Note: when needed, a named argument should be used.
control	A named list with elements `verbosity` and `catch`. See `control_parsnip()`.
...	Not currently used; values passed here will be ignored. Other options required to fit the model should be passed using `set_engine()`.
tar_args	Arguments passed to `tar_target`.

A tar_target object.