我正在为分类问题运行 gbm 模型。下面是我的代码和输出
library(gbm)
library(caret)
set.seed(123)
train=read.csv("train.csv")
gbm_model= gbm(DV~.,
data=train,
distribution = "bernoulli",
n.trees = 9,
interaction.depth = 9,
n.minobsinnode = 1,
shrinkage = 0.2,
bag.fraction = 0.9)
打印输出(gbm1)
gbm(formula = DP ~ ., distribution = "bernoulli",
data = train, n.trees = 9, interaction.depth = 9, n.minobsinnode = 1,
shrinkage = 0.2, bag.fraction = 0.9)
A gradient boosted model with bernoulli loss function.
9 iterations were performed.
There were 100 predictors of which 67 had non-zero influence.
当我尝试打印顶级变量时,它会引发错误。
varImp(gbm_model)
Error in 1:n.trees : argument of length 0
任何建议如何纠正此错误。