Interface StreamingReadFeatureValuesRequestOrBuilder (3.12.0) 

public interface StreamingReadFeatureValuesRequestOrBuilder extends MessageOrBuilder

Implements

MessageOrBuilder

Methods

getEntityIds(int index)

public abstract 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];

Parameter
NameDescription
indexint

The index of the element to return.

Returns
TypeDescription
String

The entityIds at the given index.

getEntityIdsBytes(int index)

public abstract 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];

Parameter
NameDescription
indexint

The index of the value to return.

Returns
TypeDescription
ByteString

The bytes of the entityIds at the given index.

getEntityIdsCount()

public abstract 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
TypeDescription
int

The count of entityIds.

getEntityIdsList()

public abstract 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
TypeDescription
List<String>

A list containing the entityIds.

getEntityType()

public abstract 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
TypeDescription
String

The entityType.

getEntityTypeBytes()

public abstract 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
TypeDescription
ByteString

The bytes for entityType.

getFeatureSelector()

public abstract FeatureSelector getFeatureSelector()

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

.google.cloud.aiplatform.v1.FeatureSelector feature_selector = 3 [(.google.api.field_behavior) = REQUIRED];

Returns
TypeDescription
FeatureSelector

The featureSelector.

getFeatureSelectorOrBuilder()

public abstract FeatureSelectorOrBuilder getFeatureSelectorOrBuilder()

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

.google.cloud.aiplatform.v1.FeatureSelector feature_selector = 3 [(.google.api.field_behavior) = REQUIRED];

Returns
TypeDescription
FeatureSelectorOrBuilder

hasFeatureSelector()

public abstract boolean hasFeatureSelector()

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

.google.cloud.aiplatform.v1.FeatureSelector feature_selector = 3 [(.google.api.field_behavior) = REQUIRED];

Returns
TypeDescription
boolean

Whether the featureSelector field is set.