Google Cloud Ai Platform V1 Client - Class StreamingReadFeatureValuesRequest (1.11.0)

Reference documentation and code samples for the Google Cloud Ai Platform V1 Client class StreamingReadFeatureValuesRequest.

Request message for FeaturestoreOnlineServingService.StreamingFeatureValuesRead.

Generated from protobuf message google.cloud.aiplatform.v1.StreamingReadFeatureValuesRequest

Namespace

Google \ Cloud \ AIPlatform \ V1

Methods

__construct

Constructor.

Parameters
Name Description
data array

Optional. Data for populating the Message object.

↳ entity_type string

Required. The resource name of the entities' type. 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.

↳ entity_ids array

Required. IDs of entities to read Feature values of. The maximum number of IDs is 100. For example, for a machine learning model predicting user clicks on a website, an entity ID could be user_123.

↳ feature_selector Google\Cloud\AIPlatform\V1\FeatureSelector

Required. Selector choosing Features of the target EntityType. Feature IDs will be deduplicated.

getEntityType

Required. The resource name of the entities' type.

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.

Returns
Type Description
string

setEntityType

Required. The resource name of the entities' type.

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.

Parameter
Name Description
var string
Returns
Type Description
$this

getEntityIds

Required. IDs of entities to read Feature values of. The maximum number of IDs is 100. For example, for a machine learning model predicting user clicks on a website, an entity ID could be user_123.

Returns
Type Description
Google\Protobuf\Internal\RepeatedField

setEntityIds

Required. IDs of entities to read Feature values of. The maximum number of IDs is 100. For example, for a machine learning model predicting user clicks on a website, an entity ID could be user_123.

Parameter
Name Description
var string[]
Returns
Type Description
$this

getFeatureSelector

Required. Selector choosing Features of the target EntityType. Feature IDs will be deduplicated.

Returns
Type Description
Google\Cloud\AIPlatform\V1\FeatureSelector|null

hasFeatureSelector

clearFeatureSelector

setFeatureSelector

Required. Selector choosing Features of the target EntityType. Feature IDs will be deduplicated.

Parameter
Name Description
var Google\Cloud\AIPlatform\V1\FeatureSelector
Returns
Type Description
$this

static::build

Parameter
Name Description
entityType string

Required. The resource name of the entities' type. 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. Please see Google\Cloud\AIPlatform\V1\FeaturestoreOnlineServingServiceClient::entityTypeName() for help formatting this field.

Returns
Type Description
Google\Cloud\AIPlatform\V1\StreamingReadFeatureValuesRequest