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h2o.save_mojo

Save an H2O Model Object as Mojo to Disk


Description

Save an MOJO (Model Object, Optimized) to disk.

Usage

h2o.save_mojo(object, path = "", force = FALSE)

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.

Details

MOJO will download as a zip file. In the case of existing files force = TRUE will overwrite the file. Otherwise, the operation will fail.

See Also

h2o.saveModel for saving a model to disk as a binary object.

Examples

## Not run: 
# library(h2o)
# h2o.init()
# prostate <- h2o.uploadFile(path = system.file("extdata", "prostate.csv", package="h2o"))
# prostate_glm <- h2o.glm(y = "CAPSULE", x = c("AGE", "RACE", "PSA", "DCAPS"),
#                         training_frame = prostate, family = "binomial", alpha = 0.5)
# h2o.save_mojo(object = prostate_glm, path = "/Users/UserName/Desktop", force = TRUE)

## End(Not run)

h2o

R Interface for the 'H2O' Scalable Machine Learning Platform

v3.32.1.2
Apache License (== 2.0)
Authors
Erin LeDell [aut, cre], Navdeep Gill [aut], Spencer Aiello [aut], Anqi Fu [aut], Arno Candel [aut], Cliff Click [aut], Tom Kraljevic [aut], Tomas Nykodym [aut], Patrick Aboyoun [aut], Michal Kurka [aut], Michal Malohlava [aut], Ludi Rehak [ctb], Eric Eckstrand [ctb], Brandon Hill [ctb], Sebastian Vidrio [ctb], Surekha Jadhawani [ctb], Amy Wang [ctb], Raymond Peck [ctb], Wendy Wong [ctb], Jan Gorecki [ctb], Matt Dowle [ctb], Yuan Tang [ctb], Lauren DiPerna [ctb], Tomas Fryda [ctb], H2O.ai [cph, fnd]
Initial release
2021-04-29

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