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Reference documentation and code samples for the Vertex AI V1 API class Google::Cloud::AIPlatform::V1::StreamDirectRawPredictRequest.
Request message for PredictionService.StreamDirectRawPredict.
The first message must contain endpoint and method_name fields and optionally input. The subsequent messages must contain input. method_name in the subsequent messages have no effect.
Inherits
- Object
Extended By
- Google::Protobuf::MessageExts::ClassMethods
Includes
- Google::Protobuf::MessageExts
Methods
#endpoint
def endpoint() -> ::String
-
(::String) — Required. The name of the Endpoint requested to serve the prediction.
Format:
projects/{project}/locations/{location}/endpoints/{endpoint}
#endpoint=
def endpoint=(value) -> ::String
-
value (::String) — Required. The name of the Endpoint requested to serve the prediction.
Format:
projects/{project}/locations/{location}/endpoints/{endpoint}
-
(::String) — Required. The name of the Endpoint requested to serve the prediction.
Format:
projects/{project}/locations/{location}/endpoints/{endpoint}
#input
def input() -> ::String
- (::String) — Optional. The prediction input.
#input=
def input=(value) -> ::String
- value (::String) — Optional. The prediction input.
- (::String) — Optional. The prediction input.
#method_name
def method_name() -> ::String
-
(::String) — Optional. Fully qualified name of the API method being invoked to perform
predictions.
Format:
/namespace.Service/Method/
Example:/tensorflow.serving.PredictionService/Predict
#method_name=
def method_name=(value) -> ::String
-
value (::String) — Optional. Fully qualified name of the API method being invoked to perform
predictions.
Format:
/namespace.Service/Method/
Example:/tensorflow.serving.PredictionService/Predict
-
(::String) — Optional. Fully qualified name of the API method being invoked to perform
predictions.
Format:
/namespace.Service/Method/
Example:/tensorflow.serving.PredictionService/Predict