Loads previously saved grid with all it's models from the same folder

Returns a reference to the loaded Grid.

h2o.loadGrid(grid_path, load_params_references = FALSE)

Arguments

grid_path	A character string containing the path to the file with the grid saved.
load_params_references	A logical which if true will attemt to reload saved objects referenced by grid parameters (e.g. training frame, calibration frame), will fail if grid was saved without referenced objects.

Examples

if (FALSE) {
library(h2o)
h2o.init()

iris <- as.h2o(iris)

ntrees_opts = c(1, 5)
learn_rate_opts = c(0.1, 0.01)
size_of_hyper_space = length(ntrees_opts) * length(learn_rate_opts)

hyper_parameters = list(ntrees = ntrees_opts, learn_rate = learn_rate_opts)
# Tempdir is chosen arbitrarily. May be any valid folder on an H2O-supported filesystem.
baseline_grid <- h2o.grid("gbm", grid_id="gbm_grid_test", x=1:4, y=5, training_frame=iris,
hyper_params = hyper_parameters, export_checkpoints_dir = tempdir())
# Remove everything from the cluster or restart it
h2o.removeAll()
grid <- h2o.loadGrid(paste0(tempdir(),"/",baseline_grid@grid_id))
}