Decision trees in R with big data - R-SIG-HPC

Tue, Apr 15, 2014 8:05 PM #

The R package [wsrf](http://cran.r-project.org/package=wsrf) may be a 
choice if you want to try.  We are trying our best to make it capable 
for handling big data.  However, there is still room for improvements.

Hope this helps!

Regards,
Simon Yansen Zhao


On 2014-04-15 18:00, r-sig-hpc-request at r-project.org wrote:
 > Message: 1
 > Date: Mon, 14 Apr 2014 11:53:26 -0500
 > From: Supriya Jain <sjsjsj2009 at gmail.com>
 > To: r-sig-hpc at r-project.org
 > Subject: [R-sig-hpc] Decision trees in R with big data
 > Message-ID:
 > 	<CAPc8pCJugsYbMuFEGHFPy9wjg-zn9dVQzx7rJSEckLVeiciGFg at mail.gmail.com>
 > Content-Type: text/plain
 >
 > Hi,
 >
 > I have successfully used rpart but with a few thousands rows, and a few
 > hundred input attributes. When using data with ~2 million rows 
(instances),
 > and ~20,000 input attributes (typical data sizes in my application), 
I get
 > memory problems when using rpart.
 >
 > Does anyone know of a Decision tree algorithm that works in R with big
 > data?
 >
 > Thanks!
 >
 > 	[[alternative HTML version deleted]]
 >