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
## Not run: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 ith2o.removeAll()grid <- h2o.loadGrid(paste0(tempdir(),"/",baseline_grid@grid_id))## End(Not run)