Mllib has decision tree....there is a rf pr which is not active now....take that and swap the tree builder with the fast tree builder that's in mllib...search for the spark jira...the code is based on google planet paper. ..
I am sure people in devlist are already working on it...send an email to know the status over there... There is also a rf in cloudera oryx but we could not run it on our data yet.... Weka 3.7.10 has a multi thread rf that is good to do some adhoc runs but it does not scale... On Apr 17, 2014 2:45 AM, "Laeeq Ahmed" <laeeqsp...@yahoo.com> wrote: > Hi, > > For one of my application, I want to use Random forests(RF) on top of > spark. I see that currenlty MLLib does not have implementation for RF. What > other opensource RF implementations will be great to use with spark in > terms of speed? > > Regards, > Laeeq Ahmed, > KTH, Sweden. > >
