Class PredictionServiceGrpc.PredictionServiceBlockingStub (3.14.0)
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public static final class PredictionServiceGrpc . PredictionServiceBlockingStub extends AbstractBlockingStub<PredictionServiceGrpc . PredictionServiceBlockingStub >
A service for online predictions and explanations.
Inheritance
java.lang.Object >
io.grpc.stub.AbstractStub >
io.grpc.stub.AbstractBlockingStub >
PredictionServiceGrpc.PredictionServiceBlockingStub
Inherited Members
io.grpc.stub.AbstractBlockingStub.<T>newStub(io.grpc.stub.AbstractStub.StubFactory<T>,io.grpc.Channel)
io.grpc.stub.AbstractBlockingStub.<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 . PredictionServiceBlockingStub build ( Channel channel , CallOptions callOptions )
Parameters
Name Description
channelio.grpc.Channel
callOptionsio.grpc.CallOptions
Overrides
io.grpc.stub.AbstractStub.build(io.grpc.Channel,io.grpc.CallOptions)
public ExplainResponse explain ( ExplainRequest request )
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.
public PredictResponse predict ( PredictRequest request )
Perform an online prediction.
public HttpBody rawPredict ( RawPredictRequest request )
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.
Returns
Type Description
com.google.api.HttpBody
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 2026-03-14 UTC.
[[["Easy to understand","easyToUnderstand","thumb-up"],["Solved my problem","solvedMyProblem","thumb-up"],["Other","otherUp","thumb-up"]],[["Missing the information I need","missingTheInformationINeed","thumb-down"],["Too complicated / too many steps","tooComplicatedTooManySteps","thumb-down"],["Out of date","outOfDate","thumb-down"],["Samples / code issue","samplesCodeIssue","thumb-down"],["Other","otherDown","thumb-down"]],["Last updated 2026-03-14 UTC."],[],[]]
