问题描述
每次我尝试使用 caret::train() 训练模型时,例如
library(tidyverse)
library(caret)
#reprex df x vals:
mydata <- data.frame(product = sample(c("apples","pears","carrots","potatoes"),replace=TRUE),temperature_C = rnorm(1000,mean=15,sd=10),weekday = sample(c("monday","tuesday","wednesday","thursday","friday"),weight = rnorm(1000,mean=300,sd=50))
#reprex df y vals:
mydata$value = mydata$weight + 10*mydata$temperature_C + rnorm(1000,70,25) +
case_when(mydata$weekday %in% c("monday","wednesday") ~ 200,mydata$weekday %in% c("thursday","friday") ~ -150,TRUE ~ NA_real_)
#create folds
myFolds <- createFolds(mydata$value,k = 10)
# Create traincontrol object
myControl_continuous = trainControl(verboseIter = TRUE,index = myFolds )
# Fit a glmnet:
model_glmnet <- caret::train(
value ~ .,mydata,metric = "RMSE",method = "glmnet",tuneLength = 100,trControl = myControl_continuous,preProcess = c("zv","knnImpute","center","scale")
)
我收到错误消息:
错误:'train.default' 不是从 'namespace:caret' 导出的对象
昨天我确实在所有其他库旁边重新安装了 caret,所以它(和所有其他包)绝对应该是最新版本。今天早上重新安装后它也运行良好,这让我觉得特别奇怪。
请问有人可以建议如何解决这个问题吗?
解决方法
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