1d:T58f,# Get an R Reference to an H2O Dataset, that will NOT be GC'd by default Get the reference to a frame with the given id in the H2O instance. ```r h2o.getFrame(id) ``` ## Arguments - `id`: A string indicating the unique frame of the dataset to retrieve. ## Examples ```r ## Not run: library(h2o) h2o.init() f <- "https://h2o-public-test-data.s3.amazonaws.com/smalldata/iris/iris_train.csv" train <- h2o.importFile(f) y <- "species" x <- setdiff(names(train), y) train[, y] <- as.factor(train[, y]) nfolds <- 5 num_base_models <- 2 my_gbm <- h2o.gbm(x = x, y = y, training_frame = train, distribution = "multinomial", ntrees = 10, max_depth = 3, min_rows = 2, learn_rate = 0.2, nfolds = nfolds, fold_assignment = "Modulo", keep_cross_validation_predictions = TRUE, seed = 1) my_rf <- h2o.randomForest(x = x, y = y, training_frame = train, ntrees = 50, nfolds = nfolds, fold_assignment = "Modulo", keep_cross_validation_predictions = TRUE, seed = 1) stack <- h2o.stackedEnsemble(x = x, y = y, training_frame = train, model_id = "my_ensemble_l1", base_models = list(my_gbm@model_id, my_rf@model_id), keep_levelone_frame = TRUE) h2o.getFrame(stack@model$levelone_frame_id$name) ## End(Not run) ```1e:T49a,M7.49933 0.25C3.49635 0.25 0.25 3.49593 0.25 7.50024C0.25 10.703 2.32715 13.4206 5.2081 14.3797C5.57084 14.446 5.70302 14.2222 5.70302 14.0299C5.70302 13.8576 5.69679 13.4019 5.69323 12.797C3.67661 13.235 3.25112 11.825 3.25112 11.825C2.92132 10.9874 2.44599 10.7644 2.44599 10.7644C1.78773 10.3149 2.49584 10.3238 2.49584 10.3238C3.22353 10.375 3.60629 11.0711 3.60629 11.0711C4.25298 12.1788 5.30335 11.8588 5.71638 11.6732C5.78225 11.205 5.96962 10.8854 6.17658 10.7043C4.56675 10.5209 2.87415 9.89918 2.87415 7.12104C2.87415 6.32925 3.15677 5.68257 3.62053 5.17563C3.54576 4.99226 3.29697 4.25521 3.69174

h2o.getFrame function