Send feedback
Class PredictionServiceGrpc.PredictionServiceStub (2.9.7)
Stay organized with collections
Save and categorize content based on your preferences.
Version 2.9.7 keyboard_arrow_down
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()
Methods
protected PredictionServiceGrpc . PredictionServiceStub build ( Channel channel , CallOptions callOptions )
Parameters
Name Description channel io.grpc.Channel
callOptions io.grpc.CallOptions
Returns
Overrides
io.grpc.stub.AbstractStub.build(io.grpc.Channel,io.grpc.CallOptions)
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
public void predict ( PredictRequest request , StreamObserver<PredictResponse> responseObserver )
Perform an online prediction.
Parameters
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 >
Send feedback
Except as otherwise noted, the content of this page is licensed under the Creative Commons Attribution 4.0 License , and code samples are licensed under the Apache 2.0 License . For details, see the Google Developers Site Policies . Java is a registered trademark of Oracle and/or its affiliates.
Last updated 2025-01-27 UTC.
Need to tell us more?
[[["Easy to understand","easyToUnderstand","thumb-up"],["Solved my problem","solvedMyProblem","thumb-up"],["Other","otherUp","thumb-up"]],[["Hard to understand","hardToUnderstand","thumb-down"],["Incorrect information or sample code","incorrectInformationOrSampleCode","thumb-down"],["Missing the information/samples I need","missingTheInformationSamplesINeed","thumb-down"],["Other","otherDown","thumb-down"]],["Last updated 2025-01-27 UTC."],[],[]]