我正在使用此代码:

    mtry <- round(sqrt(18), 0)

gbmGrid <- expand.grid(
              interaction.depth = c(1, 2, 3, 4, 5, 6)
            , n.trees = seq(10, 10000, by = 100)
            , shrinkage = 0.01
            , n.minobsinnode = c(5, 10, 20, 30)
            , distribution = 'gaussian'
            , method = 'gbm'
            , mtry = mtry
    )

    fitControl <- trainControl(
                method = "repeatedcv"
                , number = 2
                , repeats = 3
        )

    gbmFit1 <- train(

                     Y ~

                      X1
                    + X2

                    , data = Train

                    , trControl = fitControl
                    , tuneGrid = gbmGrid
                    , verbose = FALSE
        )

但得到:
The tuning parameter grid should have columns mtry

我按照某些人的建议安装了最新的软件包,并尝试使用.mtry。有任何想法吗? (是的,我用谷歌搜索,然后看了一下)

最佳答案

我已将其恢复为基本知识(iris)。这行得通-GBM不存在的mtry是问题所在:

library(datasets)
library(gbm)
library(caret)

grid <- expand.grid(
                n.trees = seq(10, 1000, by = 100)
            , interaction.depth = c(4)
            , shrinkage = c(0.01, 0.1)
            , n.minobsinnode = c(5, 10, 20, 30)
    )

train_control <- trainControl(
                    method = "repeatedcv"
                    , number = 10
                    , repeats = 10
    )

model <- train(Petal.Width ~ Petal.Length
                        , method = 'gbm'
                        , distribution = 'gaussian'
                        , data = iris
                        , trControl = train_control
                        , tuneGrid = grid
                        , verbose = FALSE
    )

model

抱歉浪费您的时间!

关于r - 插入符-调整参数网格应具有列mtry,我们在Stack Overflow上找到一个类似的问题:https://stackoverflow.com/questions/52832898/

10-10 04:42