h2o.splitFrame: Split an H2O Data Set

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

Split an H2O Data Set

Description

Split an existing H2O data set according to user-specified ratios. The number of subsets is always 1 more than the number of given ratios. Note that this does not give an exact split. H2O is designed to be efficient on big data using a probabilistic splitting method rather than an exact split. For example, when specifying a split of 0.75/0.25, H2O will produce a test/train split with an expected value of 0.75/0.25 rather than exactly 0.75/0.25. On small datasets, the sizes of the resulting splits will deviate from the expected value more than on big data, where they will be very close to exact.

Usage

h2o.splitFrame(data, ratios = 0.75, destination_frames, seed = -1)

Arguments

data	An H2OFrame object, to be split.
ratios	A numeric value or array indicating the ratio of total rows contained in each split. Must total up to less than 1. e.g. c(0.8) for 80/20 split.
destination_frames	An array of frame IDs equal to the number of values specified in the ratios array, plus one.
seed	Random seed.

Value

Returns a list of split H2OFrames

Examples

## Not run: 
library(h2o)
h2o.init()
iris_hf <- as.h2o(iris)
iris_split <- h2o.splitFrame(iris_hf, ratios = c(0.2, 0.5))
head(iris_split[[1]])
summary(iris_split[[1]])

## End(Not run)

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