Question

我使用插入符号来使用“xgboost”进行建模

1-但是，我收到以下错误：

"Error: The tuning parameter grid should have columns nrounds,
 max_depth, eta, gamma, colsample_bytree, min_child_weight, subsample"

代码：

library(caret)
library(doParallel) 
library(dplyr)        
library(pROC)               
library(xgboost)   

## Create train/test indexes
## preserve class indices
set.seed(42)
my_folds <- createFolds(train_churn$churn, k = 10)


# Compare class distribution
i <- my_folds$Fold1
table(train_churn$churn[i]) / length(i)

 my_control <- trainControl(
 summaryFunction = twoClassSummary,
 classProbs = TRUE,
 verboseIter = TRUE,
 savePredictions = TRUE,
 index = my_folds
 )

my_grid <- expand.grid(nrounds = 500,
                   max_depth = 7,
                   eta = 0.1,
                   gammma = 1,
                   colsample_bytree = 1,
                   min_child_weight = 100,
                   subsample = 1)


set.seed(42)
model_xgb <- train(
             class ~ ., data = train_churn,
             metric = "ROC",
             method =  "xgbTree",
             trControl = my_control,
             tuneGrid = my_grid)

2-我也希望通过使用适合每个折叠的模型对预测进行平均来得到预测。

Answer 1

我知道它有点晚了，但是，请在调整参数的网格中检查您的gamma拼写。您把它拼写为gammma（三倍m）。

使用插入符调整XGboost参数 - 错误：调整参数网格应具有列

1 个答案: