h2o.stackedEnsemble have already have the parameter metalearner_nfolds, but we can't access the cross-validition prediction result.

[Yijuan-w]

ensemble_2 <- h2o.stackedEnsemble(x = predictors, y = response, training_frame = data_h2o,
                                base_models = list(xgb_model,dl_model, rf_model,glm_model, nb_model),
                                metalearner_algorithm = "glm",
                                metalearner_nfolds = 5,  
                                seed = 1)

it works well, but when I want to plot ROC curve to compare the base model and ensemble model, I can't get the prediction result.
it should also have the parameter keep_cross_validation_predictions
please！ Many many thanks!