Save an H2O Model Object to Disk

Source: R/export.R

Save an H2OModel to disk. (Note that ensemble binary models can be saved.)

h2o.saveModel(
  object,
  path = "",
  force = FALSE,
  export_cross_validation_predictions = FALSE,
  filename = ""
)

Arguments

object

an H2OModel object.
path

string indicating the directory the model will be written to.
force

logical, indicates how to deal with files that already exist.
export_cross_validation_predictions

logical, indicates whether the exported model artifacts should also include CV Holdout Frame predictions. Default is not to export the predictions.
filename

string indicating the file name.

Details

In the case of existing files force = TRUE will overwrite the file. Otherwise, the operation will fail.

The owner of the file saved is the user by which H2O cluster was executed.

See also

h2o.loadModel for loading a model to H2O from disk

Examples

if (FALSE) {
# library(h2o)
# h2o.init()
# prostate <- h2o.importFile(path = paste("https://raw.github.com",
#    "h2oai/h2o-2/master/smalldata/logreg/prostate.csv", sep = "/"))
# prostate_glm <- h2o.glm(y = "CAPSULE", x = c("AGE", "RACE", "PSA", "DCAPS"),
#    training_frame = prostate, family = "binomial", alpha = 0.5)
# h2o.saveModel(object = prostate_glm, path = "/Users/UserName/Desktop", force = TRUE)
}