For some models, the effectiveness of the model can decrease as training
iterations continue. stop_iter() can be used to tune how many iterations
without an improvement in the objective function occur before training should
be halted.
Usage
stop_iter(range = c(3L, 20L), trans = NULL)
Arguments
range
A two-element vector holding the defaults for the smallest and
largest possible values, respectively.
trans
A trans object from the scales package, such as
scales::log10_trans() or scales::reciprocal_trans(). If not provided,
the default is used which matches the units used in range. If no
transformation, NULL.