Cloud AutoML V1 Client - Class OutputConfig (1.4.17)

Reference documentation and code samples for the Cloud AutoML V1 Client class 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 Google Cloud Storage or BigQuery.

Google Cloud Storage 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

Generated from protobuf message google.cloud.automl.v1.OutputConfig

Methods

__construct

Constructor.

Parameters
NameDescription
data array

Optional. Data for populating the Message object.

↳ gcs_destination Google\Cloud\AutoMl\V1\GcsDestination

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-

Returns
TypeDescription
Google\Cloud\AutoMl\V1\GcsDestination|null

hasGcsDestination

setGcsDestination

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-

Parameter
NameDescription
var Google\Cloud\AutoMl\V1\GcsDestination
Returns
TypeDescription
$this

getDestination

Returns
TypeDescription
string