Class PredictionServiceGrpc.PredictionServiceStub (3.10.0)

public static final class PredictionServiceGrpc.PredictionServiceStub extends AbstractAsyncStub<PredictionServiceGrpc.PredictionServiceStub>

A service for online predictions and explanations.

Inheritance

java.lang.Object > io.grpc.stub.AbstractStub > io.grpc.stub.AbstractAsyncStub > PredictionServiceGrpc.PredictionServiceStub

Inherited Members

io.grpc.stub.AbstractAsyncStub.<T>newStub(io.grpc.stub.AbstractStub.StubFactory<T>,io.grpc.Channel)

io.grpc.stub.AbstractAsyncStub.<T>newStub(io.grpc.stub.AbstractStub.StubFactory<T>,io.grpc.Channel,io.grpc.CallOptions)

io.grpc.stub.AbstractStub.<T>withOption(io.grpc.CallOptions.Key<T>,T)

io.grpc.stub.AbstractStub.build(io.grpc.Channel,io.grpc.CallOptions)

io.grpc.stub.AbstractStub.getCallOptions()

io.grpc.stub.AbstractStub.getChannel()

io.grpc.stub.AbstractStub.withCallCredentials(io.grpc.CallCredentials)

io.grpc.stub.AbstractStub.withChannel(io.grpc.Channel)

io.grpc.stub.AbstractStub.withCompression(java.lang.String)

io.grpc.stub.AbstractStub.withDeadline(io.grpc.Deadline)

io.grpc.stub.AbstractStub.withDeadlineAfter(long,java.util.concurrent.TimeUnit)

io.grpc.stub.AbstractStub.withExecutor(java.util.concurrent.Executor)

io.grpc.stub.AbstractStub.withInterceptors(io.grpc.ClientInterceptor...)

io.grpc.stub.AbstractStub.withMaxInboundMessageSize(int)

io.grpc.stub.AbstractStub.withMaxOutboundMessageSize(int)

io.grpc.stub.AbstractStub.withWaitForReady()

Object.clone()

Object.equals(Object)

Object.finalize()

Object.getClass()

Object.hashCode()

Object.notify()

Object.notifyAll()

Object.toString()

Object.wait()

Object.wait(long)

Object.wait(long,int)

Methods

build(Channel channel, CallOptions callOptions)

protected PredictionServiceGrpc.PredictionServiceStub build(Channel channel, CallOptions callOptions)

Parameters

Name	Description
`channel`	`io.grpc.Channel`
`callOptions`	`io.grpc.CallOptions`

Returns

Type	Description
`PredictionServiceGrpc.PredictionServiceStub`

Overrides

io.grpc.stub.AbstractStub.build(io.grpc.Channel,io.grpc.CallOptions)

explain(ExplainRequest request, StreamObserver<ExplainResponse> responseObserver)

public void explain(ExplainRequest request, StreamObserver<ExplainResponse> responseObserver)

Perform an online explanation. If deployed_model_id is specified, the corresponding DeployModel must have explanation_spec populated. If deployed_model_id is not specified, all DeployedModels must have explanation_spec populated. Only deployed AutoML tabular Models have explanation_spec.

Parameters

Name	Description
`request`	`ExplainRequest`
`responseObserver`	`io.grpc.stub.StreamObserver<ExplainResponse>`

predict(PredictRequest request, StreamObserver<PredictResponse> responseObserver)

public void predict(PredictRequest request, StreamObserver<PredictResponse> responseObserver)

Perform an online prediction.

Parameters

Name	Description
`request`	`PredictRequest`
`responseObserver`	`io.grpc.stub.StreamObserver<PredictResponse>`

rawPredict(RawPredictRequest request, StreamObserver<HttpBody> responseObserver)

public void rawPredict(RawPredictRequest request, StreamObserver<HttpBody> responseObserver)

Perform an online prediction with an arbitrary HTTP payload. The response includes the following HTTP headers:

X-Vertex-AI-Endpoint-Id: ID of the Endpoint that served this prediction.
X-Vertex-AI-Deployed-Model-Id: ID of the Endpoint's DeployedModel that served this prediction.

Parameters

Name	Description
`request`	`RawPredictRequest`
`responseObserver`	`io.grpc.stub.StreamObserver<com.google.api.HttpBody>`