Get a parse setup back for the staged data.

h2o.parseSetup(data, pattern = "", destination_frame = "",
header = NA, sep = "", col.names = NULL, col.types = NULL,
na.strings = NULL, parse_type = NULL, chunk_size = NULL,
decrypt_tool = NULL, skipped_columns = NULL,
custom_non_data_line_markers = NULL)

## Arguments

data 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. If skipped_columns are specified, only list column names of columns that are not skipped. (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. (Optional) H2O will interpret these strings as missing. (Optional) Specify which parser type H2O will use. Valid types are "ARFF", "XLS", "CSV", "SVMLight" size of chunk of (input) data in bytes (Optional) Specify a Decryption Tool (key-reference acquired by calling h2o.decryptionSetup. a list of column indices to be excluded from parsing (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