time.now <- Sys.time()
sink('pad/zxc.txt',type = "output")
for (i in 1:50000) {
cat(i,'\n CASE WHEN')
}
sink()
Sys.time() - time.now
time.now <- Sys.time()
sink('pad/xcv.txt',type = "output")
for (i in 1:50000) {
cat(sprintf("%.1f",i),'\n CASE WHEN')
}
sink()
Sys.time() - time.now
time.now <- Sys.time()
sink('pad/xcv.txt',type = "output")
for (i in 1:50000) {
cat(i,' CASE WHEN')
}
sink()
Sys.time() - time.now
time.now <- Sys.time()
fileConn<-file("pad/xcv.txt")
for (i in 1:5000) {
writeLines(c(i,'\n'), fileConn)
}
close(fileConn)
Sys.time() - time.now
time.now <- Sys.time()
for (i in 1:50000) {
if (i==1) {
temp = i
} else {
temp = paste0(temp,'\n',i)
}
}
sink('pad/xcv.txt',type = "output")
cat(temp)
sink()
Sys.time() - time.now
source('pad/script.R')
time.now <- Sys.time()
fun_xgboost_to_sql(bst,unique_id='ID',output_file_name='pad/xgb.txt',
input_table_name='df_diamonds_onehot')
Sys.time() - time.now
source('pad/scriptt.R')
time.now <- Sys.time()
fun_xgboost_to_sql(bst,unique_id='ID',output_file_name='pad/xgb.txt',
input_table_name='df_diamonds_onehot')
Sys.time() - time.now
data = df
catg.index = c(2,3,4)
time.now <- Sys.time()
for (i in 1:10000) {
contra.lst <- lapply(data[,catg.index], contrasts, contrasts=FALSE)
}
Sys.time() - time.now
data = df
catg.index = c(2,3,4)
time.now <- Sys.time()
for (i in 1:10000) {
contra.lst <- lapply(data.frame(data[,catg.index]), contrasts, contrasts=FALSE)
}
Sys.time() - time.now
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