Produce a k-fold column vector.
Create a k-fold vector useful for H2O algorithms that take a fold_assignments argument.
h2o.kfold_column(data, nfolds, seed = -1)
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.Returns an H2OFrame object with fold assignments.
## 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)