Reference documentation and code samples for the Google Cloud Datalabeling V1beta1 Client class BigQuerySource.
The BigQuery location for input data. If used in an EvaluationJob , this is where the service saves the prediction input and output sampled from the model version.
Generated from protobuf message google.cloud.datalabeling.v1beta1.BigQuerySource
Methods
__construct
Constructor.
data
array
Optional. Data for populating the Message object.
↳ input_uri
string
Required. BigQuery URI to a table, up to 2,000 characters long. If you specify the URI of a table that does not exist, Data Labeling Service creates a table at the URI with the correct schema when you create your EvaluationJob . If you specify the URI of a table that already exists, it must have the correct schema . Provide the table URI in the following format: "bq:// {your_project_id} / {your_dataset_name} / {your_table_name} " Learn more .
getInputUri
Required. BigQuery URI to a table, up to 2,000 characters long. If you specify the URI of a table that does not exist, Data Labeling Service creates a table at the URI with the correct schema when you create your EvaluationJob . If you specify the URI of a table that already exists, it must have the correct schema .
Provide the table URI in the following format: "bq:// {your_project_id} / {your_dataset_name} / {your_table_name} " Learn more .
string
setInputUri
Required. BigQuery URI to a table, up to 2,000 characters long. If you specify the URI of a table that does not exist, Data Labeling Service creates a table at the URI with the correct schema when you create your EvaluationJob . If you specify the URI of a table that already exists, it must have the correct schema .
Provide the table URI in the following format: "bq:// {your_project_id} / {your_dataset_name} / {your_table_name} " Learn more .
var
string
$this
