Reference documentation and code samples for the AI Platform Data Labeling Service V1beta1 API class Google::Cloud::DataLabeling::V1beta1::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.
Inherits
- Object
Extended By
- Google::Protobuf::MessageExts::ClassMethods
Includes
- Google::Protobuf::MessageExts
Methods
#input_uri
def input_uri() -> ::String
Returns
-
(::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}"
#input_uri=
def input_uri=(value) -> ::String
Parameter
-
value (::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}"
Returns
-
(::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}"