I am a newbie to r and xgboost
I have
traindata <- read.csv("Regression_train.csv" )
trainmatrix <-as.matrix(traindata)
bst <- xgboost(data = trainmatrix, label = trainmatrix[,"target"], max.depth = 2, eta = 1, nthread = 2,
nrounds = 2, objective = "reg:squarederror",verbose=2 )
but the output appears not to be .csv
How do I covert the output to a format that I can use with predict?
When I run the current format I get
Error in predict.xgb.Booster(bst, testdata): Feature names stored in
object
andnewdata
are different!