h2o.insertMissingValues: Insert Missing Values into an H2OFrame

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

Insert Missing Values into an H2OFrame

Description

Randomly replaces a user-specified fraction of entries in an H2O dataset with missing values.

Usage

h2o.insertMissingValues(data, fraction = 0.1, seed = -1)

Arguments

data	An H2OFrame object representing the dataset.
fraction	A number between 0 and 1 indicating the fraction of entries to replace with missing.
seed	A random number used to select which entries to replace with missing values. Default of seed = -1 will automatically generate a seed in H2O.

Value

Returns an H2OFrame object.

WARNING

This will modify the original dataset. Unless this is intended, this function should only be called on a subset of the original.

Examples

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

iris_hf <- as.h2o(iris)
summary(iris_hf)

iris_miss <- h2o.insertMissingValues(iris_hf, fraction = 0.25)
head(iris_miss)
summary(iris_miss)

## End(Not run)

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