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
