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Class EvaluationServiceGrpc.EvaluationServiceBlockingStub (3.94.0)
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public static final class EvaluationServiceGrpc . EvaluationServiceBlockingStub extends AbstractBlockingStub<EvaluationServiceGrpc . EvaluationServiceBlockingStub >
A stub to allow clients to do limited synchronous rpc calls to service EvaluationService.
Vertex AI Online Evaluation Service.
Inheritance
java.lang.Object >
io.grpc.stub.AbstractStub >
io.grpc.stub.AbstractBlockingStub >
EvaluationServiceGrpc.EvaluationServiceBlockingStub
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(java.time.Duration)
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.withOnReadyThreshold(int)
io.grpc.stub.AbstractStub.withWaitForReady()
Methods
protected EvaluationServiceGrpc . EvaluationServiceBlockingStub build ( Channel channel , CallOptions callOptions )
Parameters
Name
Description
channel
io.grpc.Channel
callOptions
io.grpc.CallOptions
Overrides
io.grpc.stub.AbstractStub.build(io.grpc.Channel,io.grpc.CallOptions)
public Operation evaluateDataset ( EvaluateDatasetRequest request )
Evaluates a dataset based on a set of given metrics.
public EvaluateInstancesResponse evaluateInstances ( EvaluateInstancesRequest request )
Evaluates instances based on a given metric.
public GenerateInstanceRubricsResponse generateInstanceRubrics ( GenerateInstanceRubricsRequest request )
Generates rubrics for a given prompt.
A rubric represents a single testable criterion for evaluation.
One input prompt could have multiple rubrics
This RPC allows users to get suggested rubrics based on provided prompt,
which can then be reviewed and used for subsequent evaluations.
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Last updated 2026-06-19 UTC.
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[[["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 2026-06-19 UTC."],[],[]]