Class RawPredictRequest (0.4.0)

publicfinalclass RawPredictRequestextendsGeneratedMessageV3implementsRawPredictRequestOrBuilder

Request message for PredictionService.RawPredict.

Protobuf type google.cloud.vertexai.v1.RawPredictRequest

Inheritance

Object > AbstractMessageLite<MessageType,BuilderType> > AbstractMessage > GeneratedMessageV3 > RawPredictRequest

Implements

RawPredictRequestOrBuilder

Inherited Members

publicstaticfinalintENDPOINT_FIELD_NUMBER

publicstaticfinalintHTTP_BODY_FIELD_NUMBER

publicstaticRawPredictRequestgetDefaultInstance()

publicstaticfinalDescriptors.DescriptorgetDescriptor()

publicstaticRawPredictRequest.BuildernewBuilder()

publicstaticRawPredictRequest.BuildernewBuilder(RawPredictRequestprototype)

publicstaticRawPredictRequestparseDelimitedFrom(InputStreaminput)

publicstaticRawPredictRequestparseDelimitedFrom(InputStreaminput,ExtensionRegistryLiteextensionRegistry)

publicstaticRawPredictRequestparseFrom(byte[]data)

publicstaticRawPredictRequestparseFrom(byte[]data,ExtensionRegistryLiteextensionRegistry)

publicstaticRawPredictRequestparseFrom(ByteStringdata)

publicstaticRawPredictRequestparseFrom(ByteStringdata,ExtensionRegistryLiteextensionRegistry)

publicstaticRawPredictRequestparseFrom(CodedInputStreaminput)

publicstaticRawPredictRequestparseFrom(CodedInputStreaminput,ExtensionRegistryLiteextensionRegistry)

publicstaticRawPredictRequestparseFrom(InputStreaminput)

publicstaticRawPredictRequestparseFrom(InputStreaminput,ExtensionRegistryLiteextensionRegistry)

publicstaticRawPredictRequestparseFrom(ByteBufferdata)

publicstaticRawPredictRequestparseFrom(ByteBufferdata,ExtensionRegistryLiteextensionRegistry)

publicstaticParser<RawPredictRequest>parser()

publicbooleanequals(Objectobj)

AbstractMessage.equals(Object other)

publicRawPredictRequestgetDefaultInstanceForType()

publicStringgetEndpoint()

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) = { ... }

publicByteStringgetEndpointBytes()

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) = { ... }

publicHttpBodygetHttpBody()

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;

publicHttpBodyOrBuildergetHttpBodyOrBuilder()

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;

publicParser<RawPredictRequest>getParserForType()

GeneratedMessageV3.getParserForType()

publicintgetSerializedSize()

GeneratedMessageV3.getSerializedSize()

publicbooleanhasHttpBody()

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;

publicinthashCode()

AbstractMessage.hashCode()

protectedGeneratedMessageV3.FieldAccessorTableinternalGetFieldAccessorTable()

GeneratedMessageV3.internalGetFieldAccessorTable()

publicfinalbooleanisInitialized()

GeneratedMessageV3.isInitialized()

publicRawPredictRequest.BuildernewBuilderForType()

protectedRawPredictRequest.BuildernewBuilderForType(GeneratedMessageV3.BuilderParentparent)

GeneratedMessageV3.newBuilderForType(GeneratedMessageV3.BuilderParent parent)

protectedObjectnewInstance(GeneratedMessageV3.UnusedPrivateParameterunused)

GeneratedMessageV3.newInstance(GeneratedMessageV3.UnusedPrivateParameter unused)

publicRawPredictRequest.BuildertoBuilder()

publicvoidwriteTo(CodedOutputStreamoutput)

GeneratedMessageV3.writeTo(CodedOutputStream output)