Reference documentation and code samples for the Cloud AutoML V1 Client class OutputConfig.
For Translation:
CSV filetranslation.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 Google Cloud
Storage or BigQuery.
Google Cloud Storage case:gcs_destinationmust be set. Exported are CSV file(s)tables_1.csv,tables_2.csv,...,tables_N.csvwith each having as header line
the table's column names, and all other lines contain values for
the header columns.
BigQuery case:bigquery_destinationpointing to a BigQuery project must be set. In the given project a
new dataset will be created with nameexport_data_<automl-dataset-display-name>_<timestamp-of-export-call>where
Generated from protobuf messagegoogle.cloud.automl.v1.OutputConfig
Required. 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-
getGcsDestination
Required. 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-
Required. 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 V1 Client - Class OutputConfig (2.0.5)\n\nVersion latestkeyboard_arrow_down\n\n- [2.0.5 (latest)](/php/docs/reference/cloud-automl/latest/V1.OutputConfig)\n- [2.0.4](/php/docs/reference/cloud-automl/2.0.4/V1.OutputConfig)\n- [1.6.5](/php/docs/reference/cloud-automl/1.6.5/V1.OutputConfig)\n- [1.5.4](/php/docs/reference/cloud-automl/1.5.4/V1.OutputConfig)\n- [1.4.17](/php/docs/reference/cloud-automl/1.4.17/V1.OutputConfig) \nReference documentation and code samples for the Cloud AutoML V1 Client class OutputConfig.\n\n- 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)\n - For Tables: Output depends on whether the dataset was imported from Google Cloud Storage or BigQuery.\n\nGoogle Cloud Storage case:\ngcs_destination\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:\nbigquery_destination\npointing to a BigQuery project must be set. In the given project a\nnew dataset will be created with name\n`export_data_\u003cautoml-dataset-display-name\u003e_\u003ctimestamp-of-export-call\u003e`\nwhere\n\n\nGenerated from protobuf message `google.cloud.automl.v1.OutputConfig`\n\nNamespace\n---------\n\nGoogle \\\\ Cloud \\\\ AutoMl \\\\ V1\n\nMethods\n-------\n\n### __construct\n\nConstructor.\n\n### getGcsDestination\n\nRequired. The Google Cloud Storage location where the output is to be\nwritten to. For Image Object Detection, Text Extraction, Video\nClassification and Tables, in the given directory a new directory will be\ncreated with name:\nexport_data-\n\n\n### hasGcsDestination\n\n### setGcsDestination\n\nRequired. The Google Cloud Storage location where the output is to be\nwritten to. For Image Object Detection, Text Extraction, Video\nClassification and Tables, in the given directory a new directory will be\ncreated with name:\nexport_data-\n\n\n### getDestination"]]
