gbm 无法识别调整参数网格

Question

脚本：

library(caret)
library(gbm)

formula <- price ~ carat + depth + table + x + y + z

mtryGrid <- expand.grid(interaction.depth = seq(1, 7, by = 2),
                    n.trees = seq(100, 1000, by = 50),
                    n.minobsinnode = 10,
                    verbose = FALSE,
                    shrinkage = c(0.01, 0.1))

set.seed(100)
gbm_model <- train(formula, 
               data = diamonds,
               method = "gbm",
               tuneGrid = mtryGrid,
               trControl = trainControl(method = "cv"))

给出错误：

Error: The tuning parameter grid should have columns n.trees, interaction.depth, shrinkage, n.minobsinnode

虽然 mtryGrid 似乎有所有四个必需的列

我使用的是 R3.5.1，插入符号 6.0-80，gbm 2.1.3

Answer 1

所以你不应该把verbose=FALSE放在expand.grid中。该错误清楚地表明它只能在 expand.grid 中使用 n.trees、interaction.depth 等。删除 verbose=FALSE 得到了方程的结果。

希望对您有所帮助

因此以下内容适用于我的系统。要抑制打印，请在 train 函数中使用 verbose=FALSE。

formula <- price ~ carat + depth + table + x + y + z

mtryGrid <- expand.grid(interaction.depth = seq(1, 7, by = 2),
                        n.trees = seq(100, 1000, by = 50),
                        n.minobsinnode = 10,
                        shrinkage = c(0.01, 0.1))


expand.grid(n.trees=c(10,20,60),shrinkage=c(0.05,0.1,0.5),n.minobsinnode = c(3,5),interaction.depth=c(3,5))

set.seed(100)
gbm_model <- train(formula, 
               data = diamonds,
               method = "gbm",
               tuneGrid = mtryGrid,
               trControl = trainControl(method = "cv"), verbose=FALSE)

gbm 无法识别调整参数网格

gbm not recognising tuning parameter grid

r

r-caret

gbm