ICA_predict <- function(X,Y){
c = ncol(X)
time = proc.time()
mm = icafast(X, c)
time = (proc.time() - time)[3]
id = HungarianSolver(t(1/abs(mm$M)))$pairs[,2]
E = mm$S[,order(id)]
# mm$W = t(mm$W)
# id = c()
# for (i in 1:c){
# Mi = abs(mm$W[,i]) # what is the variable in X that contributes most to source S[,i]
# id = c(id,which(Mi == max(Mi))[1])
# }
# E = mm$S[,order(id)]
imp = randomForest(E, y=factor(Y), localImp=TRUE)$localImp
# imp = randomForest(E, y=factor(Y), importance=TRUE)$importance
# print(imp)
return(list(scores = t(imp), order = 1:c, E = E, time = time))
}
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