Package com.google.cloud.aiplatform.v1beta1

Interface StreamingReadFeatureValuesRequestOrBuilder

    • Method Detail

      • getEntityType

        String 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`.
        string entity_type = 1 [(.google.api.field_behavior) = REQUIRED, (.google.api.resource_reference) = { ... }
        Returns:
        The entityType.

      • getEntityTypeBytes

        com.google.protobuf.ByteString getEntityTypeBytes()
         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`.
        string entity_type = 1 [(.google.api.field_behavior) = REQUIRED, (.google.api.resource_reference) = { ... }
        Returns:
        The bytes for entityType.

      • getEntityIdsList

        List<String> getEntityIdsList()
         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`.
        repeated string entity_ids = 2 [(.google.api.field_behavior) = REQUIRED];
        Returns:
        A list containing the entityIds.

      • getEntityIdsCount

        int getEntityIdsCount()
         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`.
        repeated string entity_ids = 2 [(.google.api.field_behavior) = REQUIRED];
        Returns:
        The count of entityIds.

      • getEntityIds

        String getEntityIds​(int index)
         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`.
        repeated string entity_ids = 2 [(.google.api.field_behavior) = REQUIRED];
        Parameters:
        index - The index of the element to return.
        Returns:
        The entityIds at the given index.

      • getEntityIdsBytes

        com.google.protobuf.ByteString getEntityIdsBytes​(int index)
         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`.
        repeated string entity_ids = 2 [(.google.api.field_behavior) = REQUIRED];
        Parameters:
        index - The index of the value to return.
        Returns:
        The bytes of the entityIds at the given index.

      • hasFeatureSelector

        boolean hasFeatureSelector()
         Required. Selector choosing Features of the target EntityType. Feature IDs
 will be deduplicated.
        .google.cloud.aiplatform.v1beta1.FeatureSelector feature_selector = 3 [(.google.api.field_behavior) = REQUIRED];
        Returns:
        Whether the featureSelector field is set.

      • getFeatureSelector

        FeatureSelector getFeatureSelector()
         Required. Selector choosing Features of the target EntityType. Feature IDs
 will be deduplicated.
        .google.cloud.aiplatform.v1beta1.FeatureSelector feature_selector = 3 [(.google.api.field_behavior) = REQUIRED];
        Returns:
        The featureSelector.

      • getFeatureSelectorOrBuilder

        FeatureSelectorOrBuilder getFeatureSelectorOrBuilder()
         Required. Selector choosing Features of the target EntityType. Feature IDs
 will be deduplicated.
        .google.cloud.aiplatform.v1beta1.FeatureSelector feature_selector = 3 [(.google.api.field_behavior) = REQUIRED];