Google Cloud Ai Platform V1 Client - Class ReadFeatureValuesRequest (0.28.0)

Version 0.28.0

• 1.13.1 (latest)
• 1.13.0
• 1.12.0
• 1.11.0
• 1.10.0
• 1.9.0
• 1.8.0
• 1.7.0
• 1.6.0
• 1.5.0
• 1.4.0
• 1.3.0
• 1.2.0
• 1.1.0
• 1.0.0
• 0.39.0
• 0.38.0
• 0.37.1
• 0.32.0
• 0.31.0
• 0.30.0
• 0.29.0
• 0.28.0
• 0.27.0
• 0.26.2
• 0.25.0
• 0.24.0
• 0.23.0
• 0.22.0
• 0.21.0
• 0.20.0
• 0.19.0
• 0.18.0
• 0.17.0
• 0.16.0
• 0.15.0
• 0.13.0
• 0.12.0
• 0.11.1
• 0.10.0

Reference documentation and code samples for the Google Cloud Ai Platform V1 Client class ReadFeatureValuesRequest.

Request message for FeaturestoreOnlineServingService.ReadFeatureValues.

Generated from protobuf message google.cloud.aiplatform.v1.ReadFeatureValuesRequest

Namespace

Google \ Cloud \ AIPlatform \ V1

Methods

__construct

Constructor.

Parameters
Name	Description
data	array Optional. Data for populating the Message object.
↳ entity_type	string Required. The resource name of the EntityType for the entity being read. 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.
↳ entity_id	string Required. ID for a specific entity. For example, for a machine learning model predicting user clicks on a website, an entity ID could be user_123.
↳ feature_selector	Google\Cloud\AIPlatform\V1\FeatureSelector Required. Selector choosing Features of the target EntityType.

getEntityType

Required. The resource name of the EntityType for the entity being read.

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 EntityType for the entity being read.

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

getEntityId

Required. ID for a specific entity. For example, for a machine learning model predicting user clicks on a website, an entity ID could be user_123.

Returns
Type	Description
string

setEntityId

Required. ID for a specific entity. 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.

Returns
Type	Description
Google\Cloud\AIPlatform\V1\FeatureSelector|null

hasFeatureSelector

clearFeatureSelector

setFeatureSelector

Required. Selector choosing Features of the target EntityType.

Parameter
Name	Description
var	Google\Cloud\AIPlatform\V1\FeatureSelector

Returns
Type	Description
$this

static::build

Parameter
Name	Description
entityType	string Required. The resource name of the EntityType for the entity being read. 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. Please see Google\Cloud\AIPlatform\V1\FeaturestoreOnlineServingServiceClient::entityTypeName() for help formatting this field.

Returns
Type	Description
Google\Cloud\AIPlatform\V1\ReadFeatureValuesRequest