问题
I would like to do cross validation for 5 folds. In each fold, I have a training and valid set. However, due to data issue, I need to transform my data. First, I transform the training data, train the model,apply the transformation rule to the validation data, and then test the model. I need to redo the transformation for every fold. How would I do that in H2O? I can't find away to separate the transformation part out. Does anyone have any suggestion?
来源：https://stackoverflow.com/questions/48915750/perform-data-transformation-on-training-data-inside-cross-validation