Class OutputConfig (2.10.0)

OutputConfig(mapping=None, *, ignore_unknown_fields=False, **kwargs)
  • For Translation: CSV file translation.csv, with each line in format: ML_USE,GCS_FILE_PATH GCS_FILE_PATH leads to a .TSV file which describes examples that have given ML_USE, using the following row format per line: TEXT_SNIPPET (in source language) \t TEXT_SNIPPET (in target language)

    • For Tables: Output depends on whether the dataset was imported from GCS or BigQuery. GCS case:

gcs_destination must be set. Exported are CSV file(s) tables_1.csv, tables_2.csv,...,\ tables_N.csv with each having as header line the table's column names, and all other lines contain values for the header columns. BigQuery case:

bigquery_destination pointing to a BigQuery project must be set. In the given project a new dataset will be created with name

export_data_<automl-dataset-display-name>_<timestamp-of-export-call> where will be made BigQuery-dataset-name compatible (e.g. most special characters will become underscores), and timestamp will be in YYYY_MM_DDThh_mm_ss_sssZ "based on ISO-8601" format. In that dataset a new table called primary_table will be created, and filled with precisely the same data as this obtained on import.

This message has oneof_ fields (mutually exclusive fields). For each oneof, at most one member field can be set at the same time. Setting any member of the oneof automatically clears all other members.

.. _oneof:


The Google Cloud Storage location where the output is to be written to. For Image Object Detection, Text Extraction, Video Classification and Tables, in the given directory a new directory will be created with name: export_data-- where timestamp is in YYYY-MM-DDThh:mm:ss.sssZ ISO-8601 format. All export output will be written into that directory. This field is a member of oneof_ destination.
The BigQuery location where the output is to be written to. This field is a member of oneof_ destination.