R/kvstore.R
h2o.getFrame.Rd
Get the reference to a frame with the given id in the H2O instance.
h2o.getFrame(id)
id | A string indicating the unique frame of the dataset to retrieve. |
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# 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) # }