h2o: h2o.kfold_column – R documentation

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h2o

h2o.kfold_column

Produce a k-fold column vector.

Description

Create a k-fold vector useful for H2O algorithms that take a fold_assignments argument.

Usage

h2o.kfold_column(data, nfolds, seed = -1)

Arguments

`data`	A dataframe against which to create the fold column.
`nfolds`	The number of desired folds.
`seed`	A random seed, -1 indicates that H2O will choose one.

Value

Returns an H2OFrame object with fold assignments.

Examples

## Not run: 
library(h2o)
h2o.init()

f <- "https://s3.amazonaws.com/h2o-public-test-data/smalldata/iris/iris_wheader.csv"
iris <- h2o.importFile(f)
kfolds <- h2o.kfold_column(iris, nfolds = 5, seed = 1234)

## 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