Extract unique values in the column.
h2o.unique(x, include_nas = FALSE)
x | An H2OFrame object. |
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include_nas | If set to TRUE, NAs are included. FALSE (turned off) by default. |
Returns an H2OFrame object.
if (FALSE) { library(h2o) h2o.init() f <- "http://h2o-public-test-data.s3.amazonaws.com/smalldata/iris/iris_wheader.csv" iris <- h2o.importFile(f) h2o.unique(iris["class"]) }