Early stopping parameter
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.
stop_iter(range = c(3L, 20L), trans = NULL)
range |
A two-element vector holding the defaults for the smallest and largest possible values, respectively. |
trans |
A |
stop_iter()
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