h2o.loadModel: Load H2O Model from HDFS or Local Disk

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

Load H2O Model from HDFS or Local Disk

Description

Load a saved H2O model from disk. (Note that ensemble binary models can now be loaded using this method.)

Usage

h2o.loadModel(path)

Arguments

path	The path of the H2O Model to be imported.

Value

Returns a H2OModel object of the class corresponding to the type of model loaded.

See Also

h2o.saveModel, H2OModel

Examples

## Not run: 
# library(h2o)
# h2o.init()
# prostate_path = system.file("extdata", "prostate.csv", package = "h2o")
# prostate = h2o.importFile(path = prostate_path)
# prostate_glm = h2o.glm(y = "CAPSULE", x = c("AGE", "RACE", "PSA", "DCAPS"),
#   training_frame = prostate, family = "binomial", alpha = 0.5)
# glmmodel_path = h2o.saveModel(prostate_glm, dir = "/Users/UserName/Desktop")
# glmmodel_load = h2o.loadModel(glmmodel_path)

## End(Not run)

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