Insert Missing Values into an H2OFrame
Randomly replaces a user-specified fraction of entries in an H2O dataset with missing values.
h2o.insertMissingValues(data, fraction = 0.1, seed = -1)
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.Returns an H2OFrame object.
This will modify the original dataset. Unless this is intended, this function should only be called on a subset of the original.
## 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)