if (FALSE) {
# 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.download_model(prostate_glm, dir = "/Users/UserName/Desktop")
# glmmodel_load = h2o.upload_model(glmmodel_path)
}
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