Reference documentation and code samples for the Cloud AutoML V1beta1 API class Google::Cloud::AutoML::V1beta1::OutputConfig.
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
Note: The following fields are mutually exclusive: bigquery_destination, gcs_destination. If a field in that set is populated, all other fields in the set will automatically be cleared.
Note: The following fields are mutually exclusive: bigquery_destination, gcs_destination. If a field in that set is populated, all other fields in the set will automatically be cleared.
Note: The following fields are mutually exclusive: bigquery_destination, gcs_destination. If a field in that set is populated, all other fields in the set will automatically be cleared.
(::Google::Cloud::AutoML::V1beta1::GcsDestination) — 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-
value (::Google::Cloud::AutoML::V1beta1::GcsDestination) — 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-
Returns
(::Google::Cloud::AutoML::V1beta1::GcsDestination) — 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-
[[["Easy to understand","easyToUnderstand","thumb-up"],["Solved my problem","solvedMyProblem","thumb-up"],["Other","otherUp","thumb-up"]],[["Hard to understand","hardToUnderstand","thumb-down"],["Incorrect information or sample code","incorrectInformationOrSampleCode","thumb-down"],["Missing the information/samples I need","missingTheInformationSamplesINeed","thumb-down"],["Other","otherDown","thumb-down"]],["Last updated 2025-09-04 UTC."],[],[],null,["# Cloud AutoML V1beta1 API - Class Google::Cloud::AutoML::V1beta1::OutputConfig (v0.14.1)\n\nVersion latestkeyboard_arrow_down\n\n- [0.14.1 (latest)](/ruby/docs/reference/google-cloud-automl-v1beta1/latest/Google-Cloud-AutoML-V1beta1-OutputConfig)\n- [0.14.0](/ruby/docs/reference/google-cloud-automl-v1beta1/0.14.0/Google-Cloud-AutoML-V1beta1-OutputConfig)\n- [0.13.1](/ruby/docs/reference/google-cloud-automl-v1beta1/0.13.1/Google-Cloud-AutoML-V1beta1-OutputConfig)\n- [0.12.0](/ruby/docs/reference/google-cloud-automl-v1beta1/0.12.0/Google-Cloud-AutoML-V1beta1-OutputConfig)\n- [0.11.1](/ruby/docs/reference/google-cloud-automl-v1beta1/0.11.1/Google-Cloud-AutoML-V1beta1-OutputConfig)\n- [0.10.2](/ruby/docs/reference/google-cloud-automl-v1beta1/0.10.2/Google-Cloud-AutoML-V1beta1-OutputConfig)\n- [0.9.0](/ruby/docs/reference/google-cloud-automl-v1beta1/0.9.0/Google-Cloud-AutoML-V1beta1-OutputConfig)\n- [0.8.0](/ruby/docs/reference/google-cloud-automl-v1beta1/0.8.0/Google-Cloud-AutoML-V1beta1-OutputConfig)\n- [0.7.0](/ruby/docs/reference/google-cloud-automl-v1beta1/0.7.0/Google-Cloud-AutoML-V1beta1-OutputConfig)\n- [0.6.1](/ruby/docs/reference/google-cloud-automl-v1beta1/0.6.1/Google-Cloud-AutoML-V1beta1-OutputConfig)\n- [0.5.5](/ruby/docs/reference/google-cloud-automl-v1beta1/0.5.5/Google-Cloud-AutoML-V1beta1-OutputConfig) \nReference documentation and code samples for the Cloud AutoML V1beta1 API class Google::Cloud::AutoML::V1beta1::OutputConfig.\n\n- For Translation:\n CSV file `translation.csv`, with each line in format:\n ML_USE,GCS_FILE_PATH\n GCS_FILE_PATH leads to a .TSV file which describes examples that have\n given ML_USE, using the following row format per line:\n TEXT_SNIPPET (in source language) \\\\t TEXT_SNIPPET (in target\n language)\n\n - For Tables: Output depends on whether the dataset was imported from GCS or BigQuery. GCS case:\n\n[gcs_destination](/ruby/docs/reference/google-cloud-automl-v1beta1/latest/Google-Cloud-AutoML-V1beta1-OutputConfig#Google__Cloud__AutoML__V1beta1__OutputConfig_gcs_destination_instance_ \"Google::Cloud::AutoML::V1beta1::OutputConfig#gcs_destination (method)\")\nmust be set. Exported are CSV file(s) `tables_1.csv`,\n`tables_2.csv`,...,`tables_N.csv` with each having as header line\nthe table's column names, and all other lines contain values for\nthe header columns.\nBigQuery case:\n\n[bigquery_destination](/ruby/docs/reference/google-cloud-automl-v1beta1/latest/Google-Cloud-AutoML-V1beta1-OutputConfig#Google__Cloud__AutoML__V1beta1__OutputConfig_bigquery_destination_instance_ \"Google::Cloud::AutoML::V1beta1::OutputConfig#bigquery_destination (method)\")\npointing to a BigQuery project must be set. In the given project a\nnew dataset will be created with name\n\n`export_data_\u003cautoml-dataset-display-name\u003e_\u003ctimestamp-of-export-call\u003e`\nwhere\n\n\u003cbr /\u003e\n\nInherits\n--------\n\n- Object \n\nExtended By\n-----------\n\n- Google::Protobuf::MessageExts::ClassMethods \n\nIncludes\n--------\n\n- Google::Protobuf::MessageExts\n\nMethods\n-------\n\n### #bigquery_destination\n\n def bigquery_destination() -\u003e ::Google::Cloud::AutoML::V1beta1::BigQueryDestination\n\n**Returns**\n\n- ([::Google::Cloud::AutoML::V1beta1::BigQueryDestination](./Google-Cloud-AutoML-V1beta1-BigQueryDestination)) --- The BigQuery location where the output is to be written to.\n\n\n Note: The following fields are mutually exclusive: `bigquery_destination`, `gcs_destination`. If a field in that set is populated, all other fields in the set will automatically be cleared.\n\n### #bigquery_destination=\n\n def bigquery_destination=(value) -\u003e ::Google::Cloud::AutoML::V1beta1::BigQueryDestination\n\n**Parameter**\n\n- **value** ([::Google::Cloud::AutoML::V1beta1::BigQueryDestination](./Google-Cloud-AutoML-V1beta1-BigQueryDestination)) --- The BigQuery location where the output is to be written to.\n\n\nNote: The following fields are mutually exclusive: `bigquery_destination`, `gcs_destination`. If a field in that set is populated, all other fields in the set will automatically be cleared. \n**Returns**\n\n- ([::Google::Cloud::AutoML::V1beta1::BigQueryDestination](./Google-Cloud-AutoML-V1beta1-BigQueryDestination)) --- The BigQuery location where the output is to be written to.\n\n\n Note: The following fields are mutually exclusive: `bigquery_destination`, `gcs_destination`. If a field in that set is populated, all other fields in the set will automatically be cleared.\n\n### #gcs_destination\n\n def gcs_destination() -\u003e ::Google::Cloud::AutoML::V1beta1::GcsDestination\n\n**Returns**\n\n- ([::Google::Cloud::AutoML::V1beta1::GcsDestination](./Google-Cloud-AutoML-V1beta1-GcsDestination)) --- 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-\n\n### #gcs_destination=\n\n def gcs_destination=(value) -\u003e ::Google::Cloud::AutoML::V1beta1::GcsDestination\n\n**Parameter**\n\n- **value** ([::Google::Cloud::AutoML::V1beta1::GcsDestination](./Google-Cloud-AutoML-V1beta1-GcsDestination)) --- 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- \n**Returns**\n\n- ([::Google::Cloud::AutoML::V1beta1::GcsDestination](./Google-Cloud-AutoML-V1beta1-GcsDestination)) --- 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-"]]
