Google Cloud Ai Platform V1 Client - Class PredictRequest (0.37.1)

Version 0.37.1

• 1.12.0 (latest)
• 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 PredictRequest.

Request message for PredictionService.Predict.

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

Namespace

Google \ Cloud \ AIPlatform \ V1

Methods

__construct

Constructor.

Parameters
Name	Description
data	array Optional. Data for populating the Message object.
↳ endpoint	string Required. The name of the Endpoint requested to serve the prediction. Format: projects/{project}/locations/{location}/endpoints/{endpoint}
↳ instances	array<Google\Protobuf\Value> Required. The instances that are the input to the prediction call. A DeployedModel may have an upper limit on the number of instances it supports per request, and when it is exceeded the prediction call errors in case of AutoML Models, or, in case of customer created Models, the behaviour is as documented by that Model. The schema of any single instance may be specified via Endpoint's DeployedModels' Model's PredictSchemata's instance_schema_uri.
↳ parameters	Google\Protobuf\Value The parameters that govern the prediction. The schema of the parameters may be specified via Endpoint's DeployedModels' Model's PredictSchemata's parameters_schema_uri.

getEndpoint

Required. The name of the Endpoint requested to serve the prediction.

Format: projects/{project}/locations/{location}/endpoints/{endpoint}

Returns
Type	Description
string

setEndpoint

Required. The name of the Endpoint requested to serve the prediction.

Format: projects/{project}/locations/{location}/endpoints/{endpoint}

Parameter
Name	Description
var	string

Returns
Type	Description
$this

getInstances

Required. The instances that are the input to the prediction call.

A DeployedModel may have an upper limit on the number of instances it supports per request, and when it is exceeded the prediction call errors in case of AutoML Models, or, in case of customer created Models, the behaviour is as documented by that Model. The schema of any single instance may be specified via Endpoint's DeployedModels' Model's PredictSchemata's instance_schema_uri.

Returns
Type	Description
Google\Protobuf\Internal\RepeatedField

setInstances

Required. The instances that are the input to the prediction call.

A DeployedModel may have an upper limit on the number of instances it supports per request, and when it is exceeded the prediction call errors in case of AutoML Models, or, in case of customer created Models, the behaviour is as documented by that Model. The schema of any single instance may be specified via Endpoint's DeployedModels' Model's PredictSchemata's instance_schema_uri.

Parameter
Name	Description
var	array<Google\Protobuf\Value>

Returns
Type	Description
$this

getParameters

The parameters that govern the prediction. The schema of the parameters may be specified via Endpoint's DeployedModels' Model's PredictSchemata's parameters_schema_uri.

Returns
Type	Description
Google\Protobuf\Value|null

hasParameters

clearParameters

setParameters

The parameters that govern the prediction. The schema of the parameters may be specified via Endpoint's DeployedModels' Model's PredictSchemata's parameters_schema_uri.

Parameter
Name	Description
var	Google\Protobuf\Value

Returns
Type	Description
$this

static::build

Parameters
Name	Description
endpoint	string Required. The name of the Endpoint requested to serve the prediction. Format: projects/{project}/locations/{location}/endpoints/{endpoint} Please see Google\Cloud\AIPlatform\V1\PredictionServiceClient::endpointName() for help formatting this field.
instances	array<Google\Protobuf\Value> Required. The instances that are the input to the prediction call. A DeployedModel may have an upper limit on the number of instances it supports per request, and when it is exceeded the prediction call errors in case of AutoML Models, or, in case of customer created Models, the behaviour is as documented by that Model. The schema of any single instance may be specified via Endpoint's DeployedModels' Model's PredictSchemata's instance_schema_uri.
parameters	Google\Protobuf\Value The parameters that govern the prediction. The schema of the parameters may be specified via Endpoint's DeployedModels' Model's PredictSchemata's parameters_schema_uri.

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