-
Notifications
You must be signed in to change notification settings - Fork 0
/
_PCA.R
23 lines (20 loc) · 1003 Bytes
/
_PCA.R
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
library(foreach)
library(doMC)
registerDoMC(nb_cores)
#####################################################################
# If training run, train model
if (RUN_TYPE=="TRAIN") {
source("CV_PCA.R")
PCA<-CV_PCA(x,0.98,K,nb_cores)
save(PCA,K,file=paste("Working_files/",Version,"_",item,"_PCA_Model",DTM_name,".RData",sep=""))
x<-foreach (i = 1:length(K)) %dopar%
data.frame(scale(as.matrix(x[[i]][,1:PCA[[i]]$ncol_max]), PCA[[i]]$center, PCA[[i]]$scale) %*%
PCA[[i]]$loadings)[,PCA[[i]]$col_thres]
} else if (RUN_TYPE=="TEST") {
load(paste("Working_files/",Version,"_",item,"_PCA_Model",DTM_name,".RData",sep=""))
x<-foreach (i = 1:length(K)) %dopar%
data.frame(scale(as.matrix(x[[i]][,1:PCA[[i]]$ncol_max]), PCA[[i]]$center, PCA[[i]]$scale) %*%
PCA[[i]]$loadings)[,PCA[[i]]$col_thres]
}
save(x,K,file=paste("Working_files/",Version,ifelse(RUN_TYPE=="TEST","_H",""),"_",
item,"_PCA",DTM_name,".RData",sep=""))