public interface StreamingReadFeatureValuesRequestOrBuilder extends MessageOrBuilderImplements
MessageOrBuilderMethods
getEntityIds(int index)
public abstract String getEntityIds(int index)Required. IDs of entities to read Feature values of. The maximum number of IDs is
- 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];
| Name | Description |
| index | intThe index of the element to return. |
| Type | Description |
| 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
- 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];
| Name | Description |
| index | intThe index of the value to return. |
| Type | Description |
| 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
- 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];
| Type | Description |
| 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
- 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];
| Type | Description |
| 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) = { ... }
| Type | Description |
| 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) = { ... }
| Type | Description |
| 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];
| Type | Description |
| 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];
| Type | Description |
| 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];
| Type | Description |
| boolean | Whether the featureSelector field is set. |