Last time I checked it was still working in the latest version On Tue, Aug 14, 2012 at 4:26 AM, chyi-kwei yau <[email protected]>wrote:
> Hi Yuhan, > > You can run "BuildForest" on your train data and "TestForest" on your > testing data. > > You can check the example here: > https://cwiki.apache.org/MAHOUT/partial-implementation.html > > I use mahout 0.6 and it works for me, but not sure it will work in > other mahout version. > > Best, > Chyi-Kwei Yau > > On Mon, Aug 13, 2012 at 8:11 PM, Yuhan Zhang <[email protected]> wrote: > > some typo in the last email: > > name of the method is decisionForest.classify(dataset, random, Instance) > > > > if a dataset other than training dataset is given, it will result > > IllegalArgumentException:values not found for attribute 1. > > > > need some help here. > > > > Yuhan > > > > On Mon, Aug 13, 2012 at 5:03 PM, Yuhan Zhang <[email protected]> > wrote: > > > >> Hi all, > >> > >> I'm trying to train a decision forest, save it to file, and use it > latter. > >> I have managed to write a trained decision forest to file using > >> "DecisionForest.write( dataOutPut ) "; > >> > >> but when I load a saved decision tree from file to classify, I realized > >> the the method > >> DecisionForest.classifier(Dataset, random, Instance) is expecting the > >> original training Dataset. > >> > >> Is there a way to avoid loading the training Dataset? It is kind large, > >> and I'd like to avoid loading it. > >> > >> > >> Thank you > >> > >> Yuhan > > > > > > > > > > -- > > Yuhan Zhang > > Senior Software Engineer > > OneScreen Inc. > > [email protected] <[email protected]> > > www.onescreen.com > > (949) 525-4825 Ext: 177 > > > > > > The information contained in this e-mail is for the exclusive use of the > > intended recipient(s) and may be confidential, proprietary, and/or > legally > > privileged. Inadvertent disclosure of this message does not constitute a > > waiver of any privilege. If you receive this message in error, please do > > not directly or indirectly print, copy, retransmit, disseminate, or > > otherwise use the information. In addition, please delete this e-mail and > > all copies and notify the sender. >
