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.
