@Generated
public interface PredictRequestOrBuilder
extends com.google.protobuf.MessageOrBuilder
| Modifier and Type | Method and Description |
|---|---|
boolean |
containsLabels(String key)
Optional.
|
String |
getEndpoint()
Required.
|
com.google.protobuf.ByteString |
getEndpointBytes()
Required.
|
com.google.protobuf.Value |
getInstances(int index)
Required.
|
int |
getInstancesCount()
Required.
|
List<com.google.protobuf.Value> |
getInstancesList()
Required.
|
com.google.protobuf.ValueOrBuilder |
getInstancesOrBuilder(int index)
Required.
|
List<? extends com.google.protobuf.ValueOrBuilder> |
getInstancesOrBuilderList()
Required.
|
Map<String,String> |
getLabels()
Deprecated.
|
int |
getLabelsCount()
Optional.
|
Map<String,String> |
getLabelsMap()
Optional.
|
String |
getLabelsOrDefault(String key,
String defaultValue)
Optional.
|
String |
getLabelsOrThrow(String key)
Optional.
|
com.google.protobuf.Value |
getParameters()
The parameters that govern the prediction.
|
com.google.protobuf.ValueOrBuilder |
getParametersOrBuilder()
The parameters that govern the prediction.
|
boolean |
hasParameters()
The parameters that govern the prediction.
|
findInitializationErrors, getAllFields, getDefaultInstanceForType, getDescriptorForType, getField, getInitializationErrorString, getOneofFieldDescriptor, getRepeatedField, getRepeatedFieldCount, getUnknownFields, hasField, hasOneofString 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) = { ... }
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) = { ... }
List<com.google.protobuf.Value> getInstancesList()
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].
repeated .google.protobuf.Value instances = 2 [(.google.api.field_behavior) = REQUIRED];
com.google.protobuf.Value getInstances(int index)
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].
repeated .google.protobuf.Value instances = 2 [(.google.api.field_behavior) = REQUIRED];
int getInstancesCount()
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].
repeated .google.protobuf.Value instances = 2 [(.google.api.field_behavior) = REQUIRED];
List<? extends com.google.protobuf.ValueOrBuilder> getInstancesOrBuilderList()
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].
repeated .google.protobuf.Value instances = 2 [(.google.api.field_behavior) = REQUIRED];
com.google.protobuf.ValueOrBuilder getInstancesOrBuilder(int index)
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].
repeated .google.protobuf.Value instances = 2 [(.google.api.field_behavior) = REQUIRED];
boolean hasParameters()
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].
.google.protobuf.Value parameters = 3;com.google.protobuf.Value getParameters()
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].
.google.protobuf.Value parameters = 3;com.google.protobuf.ValueOrBuilder getParametersOrBuilder()
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].
.google.protobuf.Value parameters = 3;int getLabelsCount()
Optional. The user labels for Imagen billing usage only. Only Imagen supports labels. For other use cases, it will be ignored.
map<string, string> labels = 4 [(.google.api.field_behavior) = OPTIONAL];boolean containsLabels(String key)
Optional. The user labels for Imagen billing usage only. Only Imagen supports labels. For other use cases, it will be ignored.
map<string, string> labels = 4 [(.google.api.field_behavior) = OPTIONAL];@Deprecated Map<String,String> getLabels()
getLabelsMap() instead.Map<String,String> getLabelsMap()
Optional. The user labels for Imagen billing usage only. Only Imagen supports labels. For other use cases, it will be ignored.
map<string, string> labels = 4 [(.google.api.field_behavior) = OPTIONAL];String getLabelsOrDefault(String key, String defaultValue)
Optional. The user labels for Imagen billing usage only. Only Imagen supports labels. For other use cases, it will be ignored.
map<string, string> labels = 4 [(.google.api.field_behavior) = OPTIONAL];Copyright © 2026 Google LLC. All rights reserved.