h2o.saveModel: Save an H2O Model Object to Disk

In h2o: R Interface for the 'H2O' Scalable Machine Learning Platform

Save an H2O Model Object to Disk

Description

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

Usage

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

## Not run: 
# 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)

## End(Not run)

h2o documentation built on May 29, 2024, 4:26 a.m.