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public sealed class PredictRequest : IMessage<PredictRequest>, IEquatable<PredictRequest>, IDeepCloneable<PredictRequest>, IBufferMessage, IMessage
Reference documentation and code samples for the Cloud AI Platform v1 API class PredictRequest.
Request message for [PredictionService.Predict][google.cloud.aiplatform.v1.PredictionService.Predict].
Implements
IMessagePredictRequest, IEquatablePredictRequest, IDeepCloneablePredictRequest, IBufferMessage, IMessageNamespace
GoogleCloudGoogle.Cloud.AIPlatformV1Assembly
Google.Cloud.AIPlatform.V1.dll
Constructors
PredictRequest()
public PredictRequest()
PredictRequest(PredictRequest)
public PredictRequest(PredictRequest other)
Parameter | |
---|---|
Name | Description |
other | PredictRequest |
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 | |
---|---|
Type | Description |
string |
EndpointAsEndpointName
public EndpointName EndpointAsEndpointName { get; set; }
EndpointName-typed view over the Endpoint resource name property.
Property Value | |
---|---|
Type | Description |
EndpointName |
Instances
public RepeatedField<Value> Instances { get; }
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][google.cloud.aiplatform.v1.DeployedModel.model] [PredictSchemata's][google.cloud.aiplatform.v1.Model.predict_schemata] [instance_schema_uri][google.cloud.aiplatform.v1.PredictSchemata.instance_schema_uri].
Property Value | |
---|---|
Type | Description |
RepeatedFieldValue |
Parameters
public Value Parameters { get; set; }
The parameters that govern the prediction. The schema of the parameters may be specified via Endpoint's DeployedModels' [Model's ][google.cloud.aiplatform.v1.DeployedModel.model] [PredictSchemata's][google.cloud.aiplatform.v1.Model.predict_schemata] [parameters_schema_uri][google.cloud.aiplatform.v1.PredictSchemata.parameters_schema_uri].
Property Value | |
---|---|
Type | Description |
Value |