我xgboost在 R 中使用该函数，但收到以下错误消息
bst <- xgboost(data = germanvar, label = train$Creditability, max.depth = 2, eta = 1,nround = 2, objective = "binary:logistic")
Error in xgb.get.DMatrix(data, label, missing, weight) :
xgboost only support numerical matrix input,
use 'data.matrix' to transform the data.
In addition: Warning message:
In xgb.get.DMatrix(data, label, missing, weight) :
xgboost: label will be ignored.
以下是我的完整代码。
credit<-read.csv("http://freakonometrics.free.fr/german_credit.csv", header=TRUE)
library(caret)
set.seed(1000)
intrain<-createDataPartition(y=credit$Creditability, p=0.7, list=FALSE)
train<-credit[intrain, ]
test<-credit[-intrain, ]
germanvar<-train[,2:21]
str(germanvar)
bst <- xgboost(data = germanvar, label = train$Creditability, …