XGboost和XGb.DMatrix
我在R中使用XGBoost时遇到此错误XGboost和XGb.DMatrix,r,rstudio,xgboost,xgbclassifier,R,Rstudio,Xgboost,Xgbclassifier,我在R中使用XGBoost时遇到此错误 Error in xgb.DMatrix(data, label = label, missing = missing) : 'data' has class 'character' and length 1791. 'data' accepts either a numeric matrix or a single filename. 下面是我正在运行的代码 #importing the dataset XGBoostDataSet_Hr_A
Error in xgb.DMatrix(data, label = label, missing = missing) :
'data' has class 'character' and length 1791.
'data' accepts either a numeric matrix or a single filename.
下面是我正在运行的代码
#importing the dataset
XGBoostDataSet_Hr_Admin <- read.csv("CompletedDataImputed_HR_Admin.csv")
#Use factor function to convert categorical data to numerical data
XGBoostDataSet_Hr_Admin$Salary = factor(XGBoostDataSet_Hr_Admin$Salary, levels =c('L','M', 'H', 'V'), labels =c(1,2,3,4))
#split the data in train dataset and test dataset
#fitting XGBoost to the Training Test
library(xgboost)
classifier = xgboost(data = as.matrix(training_set[-10]), label = training_set$Employee_Turnover, nrounds = 10)
#导入数据集
XGBoostDataSet_Hr_Admin我已经能够解决这个问题,我需要在将分类值转换为数值时添加as.numeric我已经能够解决这个问题,我需要在将分类值转换为数值时添加as.numeric您仍然有字符集[-10],这就是为什么所有内容都转换为characterhello StupidWolf,我已经能够解决问题,我需要在将分类值转换为数值时添加as.numeric您仍然有字符集[-10],这就是为什么所有内容都转换为characterhello StupidWolf,我已经能够解决问题,在将分类值转换为数值时,我需要添加as.numeric