Set hyper-parameters to tune with makeParamSet-CodePudding

I am running random forest classification in R with mlr package. I would like to tune the following hyper-parameters: number of trees, number of variables to consider at each split, terminal node size and tree depth. I am using makeParamSet from mlr build the set of parameters to be tuned, and here is the code:

rf_param <- makeParamSet(
makeIntegerParam("ntree", lower=50, upper =500),  
makeIntegerParam("mtry", lower =floor((ncol(train)-1)/5), upper = ncol(train)),
makeIntegerParam("nodesize", lower =10, upper = 30),
makeIntegerParam("maxnodes", lower =1, upper =100 ))

However, in this way each integer from 50 to 500 , in the case of trees, is considered when choosing the optimal trees number. Instead, I would like to evaluate tree numbers by 50 (i.e. 50 100 150 ... 500). Is it possible to do that with makeParamSet? Thanks!

CodePudding user response：

You could use makeDiscreteParam, like this:

makeDiscreteParam("ntree", values = seq(50,500,50))