com.google.cloud.aiplatform.v1

Interface RawPredictRequestOrBuilder

All Superinterfaces:

com.google.protobuf.MessageLiteOrBuilder, com.google.protobuf.MessageOrBuilder

All Known Implementing Classes:

RawPredictRequest, RawPredictRequest.Builder

public interface RawPredictRequestOrBuilder
extends com.google.protobuf.MessageOrBuilder

Method Summary

Modifier and Type	Method and Description
String	getEndpoint() Required.
com.google.protobuf.ByteString	getEndpointBytes() Required.
com.google.api.HttpBody	getHttpBody() The prediction input.
com.google.api.HttpBodyOrBuilder	getHttpBodyOrBuilder() The prediction input.
boolean	hasHttpBody() The prediction input.

Methods inherited from interface com.google.protobuf.MessageOrBuilder

findInitializationErrors, getAllFields, getDefaultInstanceForType, getDescriptorForType, getField, getInitializationErrorString, getOneofFieldDescriptor, getRepeatedField, getRepeatedFieldCount, getUnknownFields, hasField, hasOneof

Methods inherited from interface com.google.protobuf.MessageLiteOrBuilder

isInitialized

Method Detail

getEndpoint

String getEndpoint()

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

string endpoint = 1 [(.google.api.field_behavior) = REQUIRED, (.google.api.resource_reference) = { ... }

Returns:

The endpoint.

getEndpointBytes

com.google.protobuf.ByteString getEndpointBytes()

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

string endpoint = 1 [(.google.api.field_behavior) = REQUIRED, (.google.api.resource_reference) = { ... }

Returns:

The bytes for endpoint.

hasHttpBody

boolean hasHttpBody()

 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.
 

.google.api.HttpBody http_body = 2;

Returns:

Whether the httpBody field is set.

getHttpBody

com.google.api.HttpBody getHttpBody()

 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.
 

.google.api.HttpBody http_body = 2;

Returns:

The httpBody.

getHttpBodyOrBuilder

com.google.api.HttpBodyOrBuilder getHttpBodyOrBuilder()

 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.
 

.google.api.HttpBody http_body = 2;