Google Cloud Ai Platform V1 Client - Class PredictRequest (0.13.0)

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

Methods

__construct

Constructor.

Parameters
NameDescription
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
TypeDescription
string

setEndpoint

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

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

Parameter
NameDescription
var string
Returns
TypeDescription
$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
TypeDescription
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
NameDescription
var array<Google\Protobuf\Value>
Returns
TypeDescription
$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
TypeDescription
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
NameDescription
var Google\Protobuf\Value
Returns
TypeDescription
$this