writeFeatureValues method
- GoogleCloudAiplatformV1WriteFeatureValuesRequest request,
- String entityType, {
- String? $fields,
Writes Feature values of one or more entities of an EntityType.
The Feature values are merged into existing entities if any. The Feature values to be written must have timestamp within the online storage retention.
request
- The metadata request object.
Request parameters:
entityType
- Required. The resource name of the EntityType for the
entities being written. Value format:
projects/{project}/locations/{location}/featurestores/ {featurestore}/entityTypes/{entityType}
. For example, for a machine
learning model predicting user clicks on a website, an EntityType ID could
be user
.
Value must have pattern
^projects/\[^/\]+/locations/\[^/\]+/featurestores/\[^/\]+/entityTypes/\[^/\]+$
.
$fields
- Selector specifying which fields to include in a partial
response.
Completes with a GoogleCloudAiplatformV1WriteFeatureValuesResponse
.
Completes with a commons.ApiRequestError if the API endpoint returned an error.
If the used http.Client
completes with an error when making a REST call,
this method will complete with the same error.
Implementation
async.Future<GoogleCloudAiplatformV1WriteFeatureValuesResponse>
writeFeatureValues(
GoogleCloudAiplatformV1WriteFeatureValuesRequest request,
core.String entityType, {
core.String? $fields,
}) async {
final body_ = convert.json.encode(request);
final queryParams_ = <core.String, core.List<core.String>>{
if ($fields != null) 'fields': [$fields],
};
final url_ =
'v1/' + core.Uri.encodeFull('$entityType') + ':writeFeatureValues';
final response_ = await _requester.request(
url_,
'POST',
body: body_,
queryParams: queryParams_,
);
return GoogleCloudAiplatformV1WriteFeatureValuesResponse.fromJson(
response_ as core.Map<core.String, core.dynamic>);
}