Reference documentation and code samples for the Vertex AI V1 API class Google::Cloud::AIPlatform::V1::StreamingReadFeatureValuesRequest.
Request message for [FeaturestoreOnlineServingService.StreamingFeatureValuesRead][].
Inherits
- Object
Extended By
- Google::Protobuf::MessageExts::ClassMethods
Includes
- Google::Protobuf::MessageExts
Methods
#entity_ids
def entity_ids() -> ::Array<::String>
Returns
-
(::Array<::String>) — 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
.
#entity_ids=
def entity_ids=(value) -> ::Array<::String>
Parameter
-
value (::Array<::String>) — 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
-
(::Array<::String>) — 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
.
#entity_type
def entity_type() -> ::String
Returns
-
(::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 beuser
.
#entity_type=
def entity_type=(value) -> ::String
Parameter
-
value (::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 beuser
.
Returns
-
(::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 beuser
.
#feature_selector
def feature_selector() -> ::Google::Cloud::AIPlatform::V1::FeatureSelector
Returns
- (::Google::Cloud::AIPlatform::V1::FeatureSelector) — Required. Selector choosing Features of the target EntityType. Feature IDs will be deduplicated.
#feature_selector=
def feature_selector=(value) -> ::Google::Cloud::AIPlatform::V1::FeatureSelector
Parameter
- value (::Google::Cloud::AIPlatform::V1::FeatureSelector) — Required. Selector choosing Features of the target EntityType. Feature IDs will be deduplicated.
Returns
- (::Google::Cloud::AIPlatform::V1::FeatureSelector) — Required. Selector choosing Features of the target EntityType. Feature IDs will be deduplicated.