Package com.google.cloud.aiplatform.v1

Class RawPredictRequest.Builder

java.lang.Object

com.google.protobuf.AbstractMessageLite.Builder

com.google.protobuf.AbstractMessage.Builder<BuilderT>

com.google.protobuf.GeneratedMessage.Builder<RawPredictRequest.Builder>

com.google.cloud.aiplatform.v1.RawPredictRequest.Builder

All Implemented Interfaces:

RawPredictRequestOrBuilder, com.google.protobuf.Message.Builder, com.google.protobuf.MessageLite.Builder, com.google.protobuf.MessageLiteOrBuilder, com.google.protobuf.MessageOrBuilder, Cloneable

Enclosing class:

RawPredictRequest

public static final class RawPredictRequest.Builder
extends com.google.protobuf.GeneratedMessage.Builder<RawPredictRequest.Builder>
implements RawPredictRequestOrBuilder

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

Protobuf type google.cloud.aiplatform.v1.RawPredictRequest

Method Summary

Modifier and Type	Method	Description
RawPredictRequest	build()
RawPredictRequest	buildPartial()
RawPredictRequest.Builder	clear()
RawPredictRequest.Builder	clearEndpoint()	Required.
RawPredictRequest.Builder	clearHttpBody()	The prediction input.
RawPredictRequest	getDefaultInstanceForType()
static final com.google.protobuf.Descriptors.Descriptor	getDescriptor()
com.google.protobuf.Descriptors.Descriptor	getDescriptorForType()
String	getEndpoint()	Required.
com.google.protobuf.ByteString	getEndpointBytes()	Required.
HttpBody	getHttpBody()	The prediction input.
HttpBody.Builder	getHttpBodyBuilder()	The prediction input.
HttpBodyOrBuilder	getHttpBodyOrBuilder()	The prediction input.
boolean	hasHttpBody()	The prediction input.
protected com.google.protobuf.GeneratedMessage.FieldAccessorTable	internalGetFieldAccessorTable()
final boolean	isInitialized()
RawPredictRequest.Builder	mergeFrom(RawPredictRequest other)
RawPredictRequest.Builder	mergeFrom(com.google.protobuf.CodedInputStream input, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
RawPredictRequest.Builder	mergeFrom(com.google.protobuf.Message other)
RawPredictRequest.Builder	mergeHttpBody(HttpBody value)	The prediction input.
RawPredictRequest.Builder	setEndpoint(String value)	Required.
RawPredictRequest.Builder	setEndpointBytes(com.google.protobuf.ByteString value)	Required.
RawPredictRequest.Builder	setHttpBody(HttpBody value)	The prediction input.
RawPredictRequest.Builder	setHttpBody(HttpBody.Builder builderForValue)	The prediction input.

Methods inherited from class com.google.protobuf.GeneratedMessage.Builder

addRepeatedField, clearField, clearOneof, clone, getAllFields, getField, getFieldBuilder, getOneofFieldDescriptor, getParentForChildren, getRepeatedField, getRepeatedFieldBuilder, getRepeatedFieldCount, getUnknownFields, getUnknownFieldSetBuilder, hasField, hasOneof, internalGetMapField, internalGetMapFieldReflection, internalGetMutableMapField, internalGetMutableMapFieldReflection, isClean, markClean, mergeUnknownFields, mergeUnknownLengthDelimitedField, mergeUnknownVarintField, newBuilderForField, onBuilt, onChanged, parseUnknownField, setField, setRepeatedField, setUnknownFields, setUnknownFieldSetBuilder, setUnknownFieldsProto3

Methods inherited from class com.google.protobuf.AbstractMessage.Builder

findInitializationErrors, getInitializationErrorString, internalMergeFrom, mergeFrom, mergeFrom, mergeFrom, mergeFrom, mergeFrom, mergeFrom, mergeFrom, mergeFrom, mergeFrom, newUninitializedMessageException, toString

Methods inherited from class com.google.protobuf.AbstractMessageLite.Builder

addAll, addAll, mergeDelimitedFrom, mergeDelimitedFrom, mergeFrom, newUninitializedMessageException

Methods inherited from class java.lang.Object

equals, finalize, getClass, hashCode, notify, notifyAll, wait, wait, wait

Methods inherited from interface com.google.protobuf.Message.Builder

mergeDelimitedFrom, mergeDelimitedFrom

Methods inherited from interface com.google.protobuf.MessageLite.Builder

mergeFrom

Methods inherited from interface com.google.protobuf.MessageOrBuilder

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

Method Details

getDescriptor

public static final com.google.protobuf.Descriptors.Descriptor getDescriptor()

internalGetFieldAccessorTable

protected com.google.protobuf.GeneratedMessage.FieldAccessorTable internalGetFieldAccessorTable()

Specified by:

internalGetFieldAccessorTable in class com.google.protobuf.GeneratedMessage.Builder<RawPredictRequest.Builder>

clear

public RawPredictRequest.Builder clear()

Specified by:

clear in interface com.google.protobuf.Message.Builder

Specified by:

clear in interface com.google.protobuf.MessageLite.Builder

Overrides:

clear in class com.google.protobuf.GeneratedMessage.Builder<RawPredictRequest.Builder>

getDescriptorForType

public com.google.protobuf.Descriptors.Descriptor getDescriptorForType()

Specified by:

getDescriptorForType in interface com.google.protobuf.Message.Builder

Specified by:

getDescriptorForType in interface com.google.protobuf.MessageOrBuilder

Overrides:

getDescriptorForType in class com.google.protobuf.GeneratedMessage.Builder<RawPredictRequest.Builder>

getDefaultInstanceForType

public RawPredictRequest getDefaultInstanceForType()

Specified by:

getDefaultInstanceForType in interface com.google.protobuf.MessageLiteOrBuilder

Specified by:

getDefaultInstanceForType in interface com.google.protobuf.MessageOrBuilder

build

public RawPredictRequest build()

Specified by:

build in interface com.google.protobuf.Message.Builder

Specified by:

build in interface com.google.protobuf.MessageLite.Builder

buildPartial

public RawPredictRequest buildPartial()

Specified by:

buildPartial in interface com.google.protobuf.Message.Builder

Specified by:

buildPartial in interface com.google.protobuf.MessageLite.Builder

mergeFrom

public RawPredictRequest.Builder mergeFrom(com.google.protobuf.Message other)

Specified by:

mergeFrom in interface com.google.protobuf.Message.Builder

Overrides:

mergeFrom in class com.google.protobuf.AbstractMessage.Builder<RawPredictRequest.Builder>

mergeFrom

public RawPredictRequest.Builder mergeFrom(RawPredictRequest other)

isInitialized

public final boolean isInitialized()

Specified by:

isInitialized in interface com.google.protobuf.MessageLiteOrBuilder

Overrides:

isInitialized in class com.google.protobuf.GeneratedMessage.Builder<RawPredictRequest.Builder>

mergeFrom

public RawPredictRequest.Builder mergeFrom(com.google.protobuf.CodedInputStream input,
 com.google.protobuf.ExtensionRegistryLite extensionRegistry)
                                    throws IOException

Specified by:

mergeFrom in interface com.google.protobuf.Message.Builder

Specified by:

mergeFrom in interface com.google.protobuf.MessageLite.Builder

Overrides:

mergeFrom in class com.google.protobuf.AbstractMessage.Builder<RawPredictRequest.Builder>

Throws:

IOException

getEndpoint

public 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) = { ... }

Specified by:

getEndpoint in interface RawPredictRequestOrBuilder

Returns:

The endpoint.

getEndpointBytes

public 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) = { ... }

Specified by:

getEndpointBytes in interface RawPredictRequestOrBuilder

Returns:

The bytes for endpoint.

setEndpoint

public RawPredictRequest.Builder setEndpoint(String value)

 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) = { ... }

Parameters:

value - The endpoint to set.

Returns:

This builder for chaining.

clearEndpoint

public RawPredictRequest.Builder clearEndpoint()

 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:

This builder for chaining.

setEndpointBytes

public RawPredictRequest.Builder setEndpointBytes(com.google.protobuf.ByteString value)

 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) = { ... }

Parameters:

value - The bytes for endpoint to set.

Returns:

This builder for chaining.

hasHttpBody

public 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;

Specified by:

hasHttpBody in interface RawPredictRequestOrBuilder

Returns:

Whether the httpBody field is set.

getHttpBody

public 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;

Specified by:

getHttpBody in interface RawPredictRequestOrBuilder

Returns:

The httpBody.

setHttpBody

public RawPredictRequest.Builder setHttpBody(HttpBody value)

 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;

setHttpBody

public RawPredictRequest.Builder setHttpBody(HttpBody.Builder builderForValue)

 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;

mergeHttpBody

public RawPredictRequest.Builder mergeHttpBody(HttpBody value)

 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;

clearHttpBody

public RawPredictRequest.Builder clearHttpBody()

 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;

getHttpBodyBuilder

public HttpBody.Builder getHttpBodyBuilder()

 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;

getHttpBodyOrBuilder

public 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;

Specified by:

getHttpBodyOrBuilder in interface RawPredictRequestOrBuilder