Vertex AI V1 API - Class Google::Cloud::AIPlatform::V1::FeatureValueDestination (v0.51.0)

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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