Try Gemini 1.5 models , the latest multimodal models in Vertex AI, and see what you can build with up to a 2M token context window.
Try Gemini 1.5 models , the latest multimodal models in Vertex AI, and see what you can build with up to a 2M token context window.
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FeatureValueDestination
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A destination location for feature values and format.
JSON representation
{
// Union field destination
can be only one of the following:
"bigqueryDestination" : {
object (BigQueryDestination
)
} ,
"tfrecordDestination" : {
object (TFRecordDestination
)
} ,
"csvDestination" : {
object (CsvDestination
)
}
// End of list of possible types for union field destination
.
}
Fields
Union field destination
.
destination
can be only one of the following:
bigqueryDestination
object (BigQueryDestination
)
Output in BigQuery format. BigQueryDestination.output_uri
in FeatureValueDestination.bigquery_destination
must refer to a table.
tfrecordDestination
object (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
csvDestination
object (CsvDestination
)
Output in CSV format. Array feature value types are not allowed in CSV format.
TFRecordDestination
The storage details for TFRecord output content.
Fields
gcsDestination
object (GcsDestination
)
Required. Google Cloud Storage location.
CsvDestination
The storage details for CSV output content.
Fields
gcsDestination
object (GcsDestination
)
Required. Google Cloud Storage location.
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Last updated 2024-04-03 UTC.
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