问题
For CART model, caret seems to only provide tunning of complexity parameter. Is there way to tune other parameters such as minbucket?
回答1:
Arguments passed to the classification or regression routines are included in the dots parameter.
As you want to include minbucket, parameter control should be included inside train.
As example:
library("caret")
train(Kyphosis ~ Age + Number + Start, data = kyphosis,
method = "rpart",
tuneGrid = data.frame(cp = c(0.01, 0.05)),
control = rpart.control(minsplit = 10, minbucket = 5))
If you want to tune minbucket you will have to do it manually.
来源：https://stackoverflow.com/questions/36781755/how-to-specify-minbucket-in-caret-train-for