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.
h2o.getFrame(id)
id |
A string indicating the unique frame of the dataset to retrieve. |
## 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)
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