get_seed.H2OModel: Get the seed from H2OModel which was used during training. If...

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

Get the seed from H2OModel which was used during training. If a user does not set the seed parameter before training, the seed is autogenerated. It returns seed as the string if the value is bigger than the integer. For example, an autogenerated seed is always long so that the seed in R is a string.

Description

Get the seed from H2OModel which was used during training. If a user does not set the seed parameter before training, the seed is autogenerated. It returns seed as the string if the value is bigger than the integer. For example, an autogenerated seed is always long so that the seed in R is a string.

Usage

get_seed.H2OModel(object)

h2o.get_seed(object)

Arguments

object

a fitted H2OModel object.

Value

Returns seed to be used during training a model. Could be numeric or string.

Examples

## Not run: 
library(h2o)
h2o.init()
prostate_path <- system.file("extdata", "prostate.csv", package = "h2o")
prostate <- h2o.uploadFile(path = prostate_path)
prostate$CAPSULE <- as.factor(prostate$CAPSULE)
prostate_gbm <- h2o.gbm(3:9, "CAPSULE", prostate)
seed <- h2o.get_seed(prostate_gbm)

## End(Not run)

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