The attribute I'm trying to predict is continuous. Also, I'm running the distributed version of mahout's random forest.
I pass regression parameter as true in DataLoader.generateDataset(), store the dataset descriptor in HDFS. I then used the PartialBuilder to build decision forest. While testing, the forest.classify for a test instance returns the predicted attribute value. Thanks, Som On Wed, Jul 10, 2013 at 5:42 PM, Ted Dunning <[email protected]> wrote: > How did you do it? > > Could you post some explanation / description of your method? > > > On Wed, Jul 10, 2013 at 2:56 PM, Som Satpathy <[email protected]> > wrote: > > > I am able to get regression work via Mahout 0.7's random forest. > > > > Thanks, > > Som > > > > On Fri, Apr 5, 2013 at 4:48 PM, S. Zhou <[email protected]> wrote: > > > > > I am using Mahout 0.7. Thanks > > >
