When the user passes a formula to fit()
and the underlying model function
uses a formula, the call object produced by fit()
may not be usable by
other functions. For example, some arguments may still be quosures and the
data
portion of the call will not correspond to the original data.
Arguments
- x
A fitted parsnip model. An error will occur if the underlying model does not have a
call
element.- data
A data object that is relevant to the call. In most cases, this is the data frame that was given to parsnip for the model fit (i.e., the training set data). The name of this data object is inserted into the call.
Details
repair_call()
call can adjust the model objects call to be usable by other
functions and methods.
Examples
fitted_model <-
linear_reg() %>%
set_engine("lm", model = TRUE) %>%
fit(mpg ~ ., data = mtcars)
# In this call, note that `data` is not `mtcars` and the `model = ~TRUE`
# indicates that the `model` argument is an rlang quosure.
fitted_model$fit$call
#> stats::lm(formula = mpg ~ ., data = data, model = ~TRUE)
# All better:
repair_call(fitted_model, mtcars)$fit$call
#> stats::lm(formula = mpg ~ ., data = mtcars, model = TRUE)