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)
| 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. |
| 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 |
h2o.parseRaw