The second phase in the data ingestion step.
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)An H2OFrame object to be parsed.
(Optional) Character string containing a regular expression to match file(s) in the folder.
(Optional) The hex key assigned to the parsed file.
(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.
(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.
(Optional) An H2OFrame object containing a single delimited line with the column names for the file.
(Optional) A vector specifying the types to attempt to force over columns.
(Optional) H2O will interpret these strings as missing.
(Optional) Tell H2O parse call to block synchronously instead of polling. This can be faster for small datasets but loses the progress bar.
(Optional) Specify which parser type H2O will use. Valid types are "ARFF", "XLS", "CSV", "SVMLight"
size of chunk of (input) data in bytes
Parse the Raw Data produced by the import phase.