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
if (FALSE) { # \dontrun{
# 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)
} # }