Interface PredictRequestOrBuilder
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- All Superinterfaces:
com.google.protobuf.MessageLiteOrBuilder,com.google.protobuf.MessageOrBuilder
- All Known Implementing Classes:
PredictRequest,PredictRequest.Builder
public interface PredictRequestOrBuilder extends com.google.protobuf.MessageOrBuilder
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Method Summary
All Methods Instance Methods Abstract Methods Modifier and Type Method Description StringgetEndpoint()Required.com.google.protobuf.ByteStringgetEndpointBytes()Required.com.google.protobuf.ValuegetInstances(int index)Required.intgetInstancesCount()Required.List<com.google.protobuf.Value>getInstancesList()Required.com.google.protobuf.ValueOrBuildergetInstancesOrBuilder(int index)Required.List<? extends com.google.protobuf.ValueOrBuilder>getInstancesOrBuilderList()Required.com.google.protobuf.ValuegetParameters()The parameters that govern the prediction.com.google.protobuf.ValueOrBuildergetParametersOrBuilder()The parameters that govern the prediction.booleanhasParameters()The parameters that govern the prediction.-
Methods inherited from interface com.google.protobuf.MessageOrBuilder
findInitializationErrors, getAllFields, getDefaultInstanceForType, getDescriptorForType, getField, getInitializationErrorString, getOneofFieldDescriptor, getRepeatedField, getRepeatedFieldCount, getUnknownFields, hasField, hasOneof
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Method Detail
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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.
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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.
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getInstancesList
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.v1beta1.DeployedModel.model] [PredictSchemata's][google.cloud.aiplatform.v1beta1.Model.predict_schemata] [instance_schema_uri][google.cloud.aiplatform.v1beta1.PredictSchemata.instance_schema_uri].
repeated .google.protobuf.Value instances = 2 [(.google.api.field_behavior) = REQUIRED];
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getInstances
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.v1beta1.DeployedModel.model] [PredictSchemata's][google.cloud.aiplatform.v1beta1.Model.predict_schemata] [instance_schema_uri][google.cloud.aiplatform.v1beta1.PredictSchemata.instance_schema_uri].
repeated .google.protobuf.Value instances = 2 [(.google.api.field_behavior) = REQUIRED];
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getInstancesCount
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.v1beta1.DeployedModel.model] [PredictSchemata's][google.cloud.aiplatform.v1beta1.Model.predict_schemata] [instance_schema_uri][google.cloud.aiplatform.v1beta1.PredictSchemata.instance_schema_uri].
repeated .google.protobuf.Value instances = 2 [(.google.api.field_behavior) = REQUIRED];
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getInstancesOrBuilderList
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.v1beta1.DeployedModel.model] [PredictSchemata's][google.cloud.aiplatform.v1beta1.Model.predict_schemata] [instance_schema_uri][google.cloud.aiplatform.v1beta1.PredictSchemata.instance_schema_uri].
repeated .google.protobuf.Value instances = 2 [(.google.api.field_behavior) = REQUIRED];
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getInstancesOrBuilder
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.v1beta1.DeployedModel.model] [PredictSchemata's][google.cloud.aiplatform.v1beta1.Model.predict_schemata] [instance_schema_uri][google.cloud.aiplatform.v1beta1.PredictSchemata.instance_schema_uri].
repeated .google.protobuf.Value instances = 2 [(.google.api.field_behavior) = REQUIRED];
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hasParameters
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.v1beta1.DeployedModel.model] [PredictSchemata's][google.cloud.aiplatform.v1beta1.Model.predict_schemata] [parameters_schema_uri][google.cloud.aiplatform.v1beta1.PredictSchemata.parameters_schema_uri].
.google.protobuf.Value parameters = 3;- Returns:
- Whether the parameters field is set.
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getParameters
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.v1beta1.DeployedModel.model] [PredictSchemata's][google.cloud.aiplatform.v1beta1.Model.predict_schemata] [parameters_schema_uri][google.cloud.aiplatform.v1beta1.PredictSchemata.parameters_schema_uri].
.google.protobuf.Value parameters = 3;- Returns:
- The parameters.
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getParametersOrBuilder
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.v1beta1.DeployedModel.model] [PredictSchemata's][google.cloud.aiplatform.v1beta1.Model.predict_schemata] [parameters_schema_uri][google.cloud.aiplatform.v1beta1.PredictSchemata.parameters_schema_uri].
.google.protobuf.Value parameters = 3;
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