An example of saving and loading H2O model in R

h2o_save_load_model.R

# Example: Saving and loading H2O models

# Using Iris for this example
d_train <- iris 

# Initialize H2O
library(h2o)
h2o.init(nthreads = -1)

# Train a DRF model
hex_train <- as.h2o(d_train)
features <- colnames(d_train)[1:4]
target <- "Species"
DRF <- h2o.randomForest(x = features, y = target,
                        training_frame = hex_train,
                        model_id = "myDRF",
                        ntrees = 100)

# Save the DRF model to disk
# the model will be saved as "./folder_for_myDRF/myDRF"
h2o.saveModel(DRF, path = "folder_for_myDRF") # define your path here

# Re-load the DRF model from disk
DRF_from_disk <- h2o.loadModel(path = "./folder_for_myDRF/myDRF")

# Print the models and compare
print(DRF)
print(DRF_from_disk)