Class RawPredictRequest (2.3.0) 

public sealed class RawPredictRequest : IMessage<RawPredictRequest>, IEquatable<RawPredictRequest>, IDeepCloneable<RawPredictRequest>, IBufferMessage, IMessage

Request message for [PredictionService.RawPredict][google.cloud.aiplatform.v1.PredictionService.RawPredict].

Inheritance

Object > RawPredictRequest

Namespace

Google.Cloud.AIPlatform.V1

Assembly

Google.Cloud.AIPlatform.V1.dll

Constructors

RawPredictRequest()

public RawPredictRequest()

RawPredictRequest(RawPredictRequest)

public RawPredictRequest(RawPredictRequest other)
Parameter
NameDescription
otherRawPredictRequest

Properties

Endpoint

public string Endpoint { get; set; }

Required. The name of the Endpoint requested to serve the prediction. Format: projects/{project}/locations/{location}/endpoints/{endpoint}

Property Value
TypeDescription
String

EndpointAsEndpointName

public EndpointName EndpointAsEndpointName { get; set; }

EndpointName-typed view over the Endpoint resource name property.

Property Value
TypeDescription
EndpointName

HttpBody

public HttpBody HttpBody { get; set; }

The prediction input. Supports HTTP headers and arbitrary data payload.

A [DeployedModel][google.cloud.aiplatform.v1.DeployedModel] may have an upper limit on the number of instances it supports per request. When this limit it is exceeded for an AutoML model, the [RawPredict][google.cloud.aiplatform.v1.PredictionService.RawPredict] method returns an error. When this limit is exceeded for a custom-trained model, the behavior varies depending on the model.

You can specify the schema for each instance in the [predict_schemata.instance_schema_uri][google.cloud.aiplatform.v1.PredictSchemata.instance_schema_uri] field when you create a [Model][google.cloud.aiplatform.v1.Model]. This schema applies when you deploy the Model as a DeployedModel to an [Endpoint][google.cloud.aiplatform.v1.Endpoint] and use the RawPredict method.

Property Value
TypeDescription
HttpBody