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.