For some models, the effectiveness of the model can decrease as training
stop_iter() can be used to tune how many iterations
without an improvement in the objective function occur before training should
stop_iter(range = c(3L, 20L), trans = NULL)
A two-element vector holding the defaults for the smallest and largest possible values, respectively.
stop_iter()#> # Iterations Before Stopping (quantitative) #> Range: [3, 20]