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, decrypt_tool = NULL, skipped_columns = NULL, custom_non_data_line_markers = NULL )
| 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 |
| 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 |
| 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 |
Parse the Raw Data produced by the import phase.
h2o.importFile, h2o.parseSetup