错误：`mutate（）`input`model`有问题。x对象'；。x'；在R tidyverse/dplyr中输入'model'是'map（…）'时未找到？游侠模型

我目前正在尝试使用ranger软件包创建一个模型

我通过创建交叉验证的折叠来预处理数据，然后将训练和测试数据帧提取到它们自己的列表列中

下面的代码从创建培训和测试数据集到建模，并尝试在交叉验证的TIBLES上迭代模型

拆分数据
数据分割尝试添加
~
即
地图（火车，~ranger（公式…
尝试添加
~
即
地图（火车，~ranger（公式…
Splitting Up the Data 
data_split <-  initial_split(historical_df, prop = .80)

#Creating Training Dataset
training_data <- training(data_split)


#Creating Testing Dataset
testing_data <- testing(data_split)


#Counting Rows in the Training Dataset
nrow(training_data)

#Counting Rows in the Testing Dataset
nrow(testing_data)

#Creating cross validated data frames 
cv_data_split <-  vfold_cv(training_data, v = 5)
cv_data_split

#Extract Training and Testing Data Franes into their Own List Columns
cv_data <- cv_data_split %>% 
  mutate(train = map(splits, ~training(.x)), 
         validate = map(splits, ~testing(.x)))


#Creating Ranger/Random Forest Model with Cross Validated Data & Following tidy ML Steps Usins Tibbles 
cv_model_rf <- cv_data %>% 
  mutate(model = map(train, ranger(formula = E2E_BUS_DAYS~ ORD_DOW + SG_LOC + RDC_NBR + STR_NBR + MKT_NBR + RGN_NBR + DIST,
                                              data = .x, seed = 42, 
                                   num.trees = 100 ,
                                   mtry = 3,
                                   quantreg = TRUE,
                                   min.node.size = 30,
                                       importance = 'permutation')))
#ERROR
Error: Problem with `mutate()` input `model`.
x object '.x' not found
i Input `model` is `map(...)`