Data conversion tools

Usage

as_h2o(df, destination_frame_prefix = "object")

# S3 method for H2OFrame
as_tibble(
  x,
  ...,
  .rows = NULL,
  .name_repair = c("check_unique", "unique", "universal", "minimal"),
  rownames = pkgconfig::get_config("tibble::rownames", NULL)
)

Arguments

df

A R data frame.

destination_frame_prefix

A character string to use as the base name.

x

An H2OFrame.

...

Unused, for extensibility.

.rows

The number of rows, useful to create a 0-column tibble or just as an additional check.

.name_repair

Treatment of problematic column names:

"minimal": No name repair or checks, beyond basic existence,
"unique": Make sure names are unique and not empty,
"check_unique": (default value), no name repair, but check they are unique,
"universal": Make the names unique and syntactic
a function: apply custom name repair (e.g., .name_repair = make.names for names in the style of base R).
A purrr-style anonymous function, see rlang::as_function()

This argument is passed on as repair to vctrs::vec_as_names(). See there for more details on these terms and the strategies used to enforce them.

rownames

How to treat existing row names of a data frame or matrix:

NULL: remove row names. This is the default.
NA: keep row names.
A string: the name of a new column. Existing rownames are transferred into this column and the row.names attribute is deleted. No name repair is applied to the new column name, even if x already contains a column of that name. Use as_tibble(rownames_to_column(...)) to safeguard against this case.

Value

A tibble or, for as_h2o(), a list with data (an H2OFrame) and id (the id on the h2o server).

Examples


# start with h2o::h2o.init()
if (h2o_running()) {
  cars2 <- as_h2o(mtcars)
  cars2
  class(cars2$data)

  cars0 <- as_tibble(cars2$data)
  cars0
}