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public static interface PredictionServiceGrpc.AsyncService
A service for online predictions and explanations.
Methods
explain(ExplainRequest request, StreamObserver<ExplainResponse> responseObserver)
public default 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 default 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 default 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> |