H2O Data Parsing

Description

The second phase in the data ingestion step.

Usage

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h2o.parseRaw(data, destination_frame = "", header = NA, sep = "",
  col.names = NULL, col.types = NULL, na.strings = NULL,
  blocking = FALSE, parse_type = NULL, chunk_size = NULL)

Arguments

data

An H2OFrame object to be parsed.

destination_frame

(Optional) The hex key assigned to the parsed file.

header

(Optional) A logical value indicating whether the first row is the column header. If missing, H2O will automatically try to detect the presence of a header.

sep

(Optional) The field separator character. Values on each line of the file are separated by this character. If sep = "", the parser will automatically detect the separator.

col.names

(Optional) An H2OFrame object containing a single delimited line with the column names for the file.

col.types

(Optional) A vector specifying the types to attempt to force over columns.

na.strings

(Optional) H2O will interpret these strings as missing.

blocking

(Optional) Tell H2O parse call to block synchronously instead of polling. This can be faster for small datasets but loses the progress bar.

parse_type

(Optional) Specify which parser type H2O will use. Valid types are "ARFF", "XLS", "CSV", "SVMLight"

chunk_size

size of chunk of (input) data in bytes

Details

Parse the Raw Data produced by the import phase.

See Also

h2o.importFile, h2o.parseSetup

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