h2o.parseRaw: H2O Data Parsing

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

H2O Data Parsing

Description

The second phase in the data ingestion step.

Usage

h2o.parseRaw(
  data,
  pattern = "",
  destination_frame = "",
  header = NA,
  sep = "",
  col.names = NULL,
  col.types = NULL,
  na.strings = NULL,
  blocking = FALSE,
  parse_type = NULL,
  chunk_size = NULL,
  decrypt_tool = NULL,
  skipped_columns = NULL,
  force_col_types = FALSE,
  custom_non_data_line_markers = NULL,
  partition_by = NULL,
  quotechar = NULL,
  escapechar = ""
)

Arguments

data	An H2OFrame object to be parsed.
pattern	(Optional) Character string containing a regular expression to match file(s) in the folder.
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. If skipped_columns are specified, only list column names of columns that are not skipped.
col.types	(Optional) A vector specifying the types to attempt to force over columns. If skipped_columns are specified, only list column types of columns that are not skipped.
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
decrypt_tool	(Optional) Specify a Decryption Tool (key-reference acquired by calling h2o.decryptionSetup.
skipped_columns	a list of column indices to be excluded from parsing
force_col_types	(Optional) if true will force parser to return the exact column types specified in column_types. For parquet, if column_types is not specified, the parquet schema will be used to determine the actual column type.
custom_non_data_line_markers	(Optional) If a line in imported file starts with any character in given string it will NOT be imported. Empty string means all lines are imported, NULL means that default behaviour for given format will be used
partition_by	(Optional) Names of the columns the persisted dataset has been partitioned by.
quotechar	A hint for the parser which character to expect as quoting character. None (default) means autodetection.
escapechar	(Optional) One ASCII character used to escape other characters.

Details

Parse the Raw Data produced by the import phase.

See Also

h2o.importFile, h2o.parseSetup

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