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Reference documentation and code samples for the Vertex AI V1 API class Google::Cloud::AIPlatform::V1::FeatureValueDestination.
A destination location for Feature values and format.
Inherits
- Object
Extended By
- Google::Protobuf::MessageExts::ClassMethods
Includes
- Google::Protobuf::MessageExts
Methods
#bigquery_destination
def bigquery_destination() -> ::Google::Cloud::AIPlatform::V1::BigQueryDestination
Returns
- (::Google::Cloud::AIPlatform::V1::BigQueryDestination) — Output in BigQuery format. BigQueryDestination.output_uri in FeatureValueDestination.bigquery_destination must refer to a table.
#bigquery_destination=
def bigquery_destination=(value) -> ::Google::Cloud::AIPlatform::V1::BigQueryDestination
Parameter
- value (::Google::Cloud::AIPlatform::V1::BigQueryDestination) — Output in BigQuery format. BigQueryDestination.output_uri in FeatureValueDestination.bigquery_destination must refer to a table.
Returns
- (::Google::Cloud::AIPlatform::V1::BigQueryDestination) — Output in BigQuery format. BigQueryDestination.output_uri in FeatureValueDestination.bigquery_destination must refer to a table.
#csv_destination
def csv_destination() -> ::Google::Cloud::AIPlatform::V1::CsvDestination
Returns
- (::Google::Cloud::AIPlatform::V1::CsvDestination) — Output in CSV format. Array Feature value types are not allowed in CSV format.
#csv_destination=
def csv_destination=(value) -> ::Google::Cloud::AIPlatform::V1::CsvDestination
Parameter
- value (::Google::Cloud::AIPlatform::V1::CsvDestination) — Output in CSV format. Array Feature value types are not allowed in CSV format.
Returns
- (::Google::Cloud::AIPlatform::V1::CsvDestination) — Output in CSV format. Array Feature value types are not allowed in CSV format.
#tfrecord_destination
def tfrecord_destination() -> ::Google::Cloud::AIPlatform::V1::TFRecordDestination
Returns
-
(::Google::Cloud::AIPlatform::V1::TFRecordDestination) —
Output in TFRecord format.
Below are the mapping from Feature value type in Featurestore to Feature value type in TFRecord:
Value type in Featurestore | Value type in TFRecord DOUBLE, DOUBLE_ARRAY | FLOAT_LIST INT64, INT64_ARRAY | INT64_LIST STRING, STRING_ARRAY, BYTES | BYTES_LIST true -> byte_string("true"), false -> byte_string("false") BOOL, BOOL_ARRAY (true, false) | BYTES_LIST
#tfrecord_destination=
def tfrecord_destination=(value) -> ::Google::Cloud::AIPlatform::V1::TFRecordDestination
Parameter
-
value (::Google::Cloud::AIPlatform::V1::TFRecordDestination) —
Output in TFRecord format.
Below are the mapping from Feature value type in Featurestore to Feature value type in TFRecord:
Value type in Featurestore | Value type in TFRecord DOUBLE, DOUBLE_ARRAY | FLOAT_LIST INT64, INT64_ARRAY | INT64_LIST STRING, STRING_ARRAY, BYTES | BYTES_LIST true -> byte_string("true"), false -> byte_string("false") BOOL, BOOL_ARRAY (true, false) | BYTES_LIST
Returns
-
(::Google::Cloud::AIPlatform::V1::TFRecordDestination) —
Output in TFRecord format.
Below are the mapping from Feature value type in Featurestore to Feature value type in TFRecord:
Value type in Featurestore | Value type in TFRecord DOUBLE, DOUBLE_ARRAY | FLOAT_LIST INT64, INT64_ARRAY | INT64_LIST STRING, STRING_ARRAY, BYTES | BYTES_LIST true -> byte_string("true"), false -> byte_string("false") BOOL, BOOL_ARRAY (true, false) | BYTES_LIST