Load H2O Model from HDFS or Local Disk

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

h2o.loadModel(path)

Arguments

path	The path of the H2O Model to be imported. and port of the server running H2O.

Value

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

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)
# }