Class RawPredictRequest.Builder (2.4.0)

public static final class RawPredictRequest.Builder extends GeneratedMessageV3.Builder<RawPredictRequest.Builder> implements RawPredictRequestOrBuilder

Request message for PredictionService.RawPredict.

Protobuf type google.cloud.aiplatform.v1.RawPredictRequest

Methods

addRepeatedField(Descriptors.FieldDescriptor field, Object value)

public RawPredictRequest.Builder addRepeatedField(Descriptors.FieldDescriptor field, Object value)
Parameters
NameDescription
fieldFieldDescriptor
valueObject
Returns
TypeDescription
RawPredictRequest.Builder
Overrides

build()

public RawPredictRequest build()
Returns
TypeDescription
RawPredictRequest

buildPartial()

public RawPredictRequest buildPartial()
Returns
TypeDescription
RawPredictRequest

clear()

public RawPredictRequest.Builder clear()
Returns
TypeDescription
RawPredictRequest.Builder
Overrides

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
TypeDescription
RawPredictRequest.Builder

This builder for chaining.

clearField(Descriptors.FieldDescriptor field)

public RawPredictRequest.Builder clearField(Descriptors.FieldDescriptor field)
Parameter
NameDescription
fieldFieldDescriptor
Returns
TypeDescription
RawPredictRequest.Builder
Overrides

clearHttpBody()

public RawPredictRequest.Builder clearHttpBody()

The prediction input. Supports HTTP headers and arbitrary data payload. A 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 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 field when you create a Model. This schema applies when you deploy the Model as a DeployedModel to an Endpoint and use the RawPredict method.

.google.api.HttpBody http_body = 2;

Returns
TypeDescription
RawPredictRequest.Builder

clearOneof(Descriptors.OneofDescriptor oneof)

public RawPredictRequest.Builder clearOneof(Descriptors.OneofDescriptor oneof)
Parameter
NameDescription
oneofOneofDescriptor
Returns
TypeDescription
RawPredictRequest.Builder
Overrides

clone()

public RawPredictRequest.Builder clone()
Returns
TypeDescription
RawPredictRequest.Builder
Overrides

getDefaultInstanceForType()

public RawPredictRequest getDefaultInstanceForType()
Returns
TypeDescription
RawPredictRequest

getDescriptor()

public static final Descriptors.Descriptor getDescriptor()
Returns
TypeDescription
Descriptor

getDescriptorForType()

public Descriptors.Descriptor getDescriptorForType()
Returns
TypeDescription
Descriptor
Overrides

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) = { ... }

Returns
TypeDescription
String

The endpoint.

getEndpointBytes()

public 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
TypeDescription
ByteString

The bytes for endpoint.

getHttpBody()

public HttpBody getHttpBody()

The prediction input. Supports HTTP headers and arbitrary data payload. A 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 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 field when you create a Model. This schema applies when you deploy the Model as a DeployedModel to an Endpoint and use the RawPredict method.

.google.api.HttpBody http_body = 2;

Returns
TypeDescription
com.google.api.HttpBody

The httpBody.

getHttpBodyBuilder()

public HttpBody.Builder getHttpBodyBuilder()

The prediction input. Supports HTTP headers and arbitrary data payload. A 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 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 field when you create a Model. This schema applies when you deploy the Model as a DeployedModel to an Endpoint and use the RawPredict method.

.google.api.HttpBody http_body = 2;

Returns
TypeDescription
com.google.api.HttpBody.Builder

getHttpBodyOrBuilder()

public HttpBodyOrBuilder getHttpBodyOrBuilder()

The prediction input. Supports HTTP headers and arbitrary data payload. A 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 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 field when you create a Model. This schema applies when you deploy the Model as a DeployedModel to an Endpoint and use the RawPredict method.

.google.api.HttpBody http_body = 2;

Returns
TypeDescription
com.google.api.HttpBodyOrBuilder

hasHttpBody()

public boolean hasHttpBody()

The prediction input. Supports HTTP headers and arbitrary data payload. A 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 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 field when you create a Model. This schema applies when you deploy the Model as a DeployedModel to an Endpoint and use the RawPredict method.

.google.api.HttpBody http_body = 2;

Returns
TypeDescription
boolean

Whether the httpBody field is set.

internalGetFieldAccessorTable()

protected GeneratedMessageV3.FieldAccessorTable internalGetFieldAccessorTable()
Returns
TypeDescription
FieldAccessorTable
Overrides

isInitialized()

public final boolean isInitialized()
Returns
TypeDescription
boolean
Overrides

mergeFrom(RawPredictRequest other)

public RawPredictRequest.Builder mergeFrom(RawPredictRequest other)
Parameter
NameDescription
otherRawPredictRequest
Returns
TypeDescription
RawPredictRequest.Builder

mergeFrom(CodedInputStream input, ExtensionRegistryLite extensionRegistry)

public RawPredictRequest.Builder mergeFrom(CodedInputStream input, ExtensionRegistryLite extensionRegistry)
Parameters
NameDescription
inputCodedInputStream
extensionRegistryExtensionRegistryLite
Returns
TypeDescription
RawPredictRequest.Builder
Overrides Exceptions
TypeDescription
IOException

mergeFrom(Message other)

public RawPredictRequest.Builder mergeFrom(Message other)
Parameter
NameDescription
otherMessage
Returns
TypeDescription
RawPredictRequest.Builder
Overrides

mergeHttpBody(HttpBody value)

public RawPredictRequest.Builder mergeHttpBody(HttpBody value)

The prediction input. Supports HTTP headers and arbitrary data payload. A 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 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 field when you create a Model. This schema applies when you deploy the Model as a DeployedModel to an Endpoint and use the RawPredict method.

.google.api.HttpBody http_body = 2;

Parameter
NameDescription
valuecom.google.api.HttpBody
Returns
TypeDescription
RawPredictRequest.Builder

mergeUnknownFields(UnknownFieldSet unknownFields)

public final RawPredictRequest.Builder mergeUnknownFields(UnknownFieldSet unknownFields)
Parameter
NameDescription
unknownFieldsUnknownFieldSet
Returns
TypeDescription
RawPredictRequest.Builder
Overrides

setEndpoint(String value)

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) = { ... }

Parameter
NameDescription
valueString

The endpoint to set.

Returns
TypeDescription
RawPredictRequest.Builder

This builder for chaining.

setEndpointBytes(ByteString value)

public RawPredictRequest.Builder setEndpointBytes(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) = { ... }

Parameter
NameDescription
valueByteString

The bytes for endpoint to set.

Returns
TypeDescription
RawPredictRequest.Builder

This builder for chaining.

setField(Descriptors.FieldDescriptor field, Object value)

public RawPredictRequest.Builder setField(Descriptors.FieldDescriptor field, Object value)
Parameters
NameDescription
fieldFieldDescriptor
valueObject
Returns
TypeDescription
RawPredictRequest.Builder
Overrides

setHttpBody(HttpBody value)

public RawPredictRequest.Builder setHttpBody(HttpBody value)

The prediction input. Supports HTTP headers and arbitrary data payload. A 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 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 field when you create a Model. This schema applies when you deploy the Model as a DeployedModel to an Endpoint and use the RawPredict method.

.google.api.HttpBody http_body = 2;

Parameter
NameDescription
valuecom.google.api.HttpBody
Returns
TypeDescription
RawPredictRequest.Builder

setHttpBody(HttpBody.Builder builderForValue)

public RawPredictRequest.Builder setHttpBody(HttpBody.Builder builderForValue)

The prediction input. Supports HTTP headers and arbitrary data payload. A 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 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 field when you create a Model. This schema applies when you deploy the Model as a DeployedModel to an Endpoint and use the RawPredict method.

.google.api.HttpBody http_body = 2;

Parameter
NameDescription
builderForValuecom.google.api.HttpBody.Builder
Returns
TypeDescription
RawPredictRequest.Builder

setRepeatedField(Descriptors.FieldDescriptor field, int index, Object value)

public RawPredictRequest.Builder setRepeatedField(Descriptors.FieldDescriptor field, int index, Object value)
Parameters
NameDescription
fieldFieldDescriptor
indexint
valueObject
Returns
TypeDescription
RawPredictRequest.Builder
Overrides

setUnknownFields(UnknownFieldSet unknownFields)

public final RawPredictRequest.Builder setUnknownFields(UnknownFieldSet unknownFields)
Parameter
NameDescription
unknownFieldsUnknownFieldSet
Returns
TypeDescription
RawPredictRequest.Builder
Overrides