I have a data set with 20K variables. I want to apply Boruta feature
selection but I get cannot allocate vector of size error. Hence, I decided
to use bigmemory like below script but it seems that Boruta does not accept
a pointer. How can I apply feature selection to 20K variables?

df <- data with 20K variables
df2 <- as.big.matrix(df)Bor.d <- Boruta(xyz~., data=df2)

BTW, I have 4G memory and ulimit output is unlimited.

I also have tried to use FSelector with same data, it works for 2K variable
but it gives Seg Fault for 4K variable data.

	[[alternative HTML version deleted]]

