将超参数设置为与MakeParamset调整
我正在使用MLR软件包在R中运行随机森林分类。我想调整以下超参数：树的数量，每个拆分，终端节点大小和树深度的变量数量。我正在使用makeParamset来自mlr构建要调整的参数集，这是代码：
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 ))
但是，在这种情况下，每个整数从50到500，在此情况下，选择最佳树数时，请考虑树木。取而代之的是，我想通过50（即50 100 150 ... 500）评估树号。可以使用makeParamset做到这一点吗？ 谢谢！
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!
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您可以使用
makediscreteparam，例如：You could use
makeDiscreteParam, like this: