Reference documentation and code samples for the Google Cloud Ai Platform V1 Client class StreamingReadFeatureValuesRequest.
Request message for FeaturestoreOnlineServingService.StreamingReadFeatureValues.
Generated from protobuf message google.cloud.aiplatform.v1.StreamingReadFeatureValuesRequest
Namespace
Google \ Cloud \ AIPlatform \ V1Methods
__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: |
↳ 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 |
↳ feature_selector |
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 |
FeatureSelector|null |
hasFeatureSelector
clearFeatureSelector
setFeatureSelector
Required. Selector choosing Features of the target EntityType. Feature IDs will be deduplicated.
Parameter | |
---|---|
Name | Description |
var |
FeatureSelector
|
Returns | |
---|---|
Type | Description |
$this |
static::build
Parameter | |
---|---|
Name | Description |
entityType |
string
Required. The resource name of the entities' type.
Value format:
|
Returns | |
---|---|
Type | Description |
StreamingReadFeatureValuesRequest |