Class: Google::Cloud::AIPlatform::V1::RawPredictRequest

Inherits:

Object

Object
Google::Cloud::AIPlatform::V1::RawPredictRequest

show all

Extended by:: Protobuf::MessageExts::ClassMethods

Includes:: Protobuf::MessageExts

Defined in:: proto_docs/google/cloud/aiplatform/v1/prediction_service.rb

Overview

Request message for PredictionService.RawPredict.

Instance Attribute Summary collapse

#endpoint ⇒ ::String
Required.
#http_body ⇒ ::Google::Api::HttpBody
The prediction input.

Instance Attribute Details

#endpoint ⇒ `::String`

Returns Required. The name of the Endpoint requested to serve the prediction. Format: projects/{project}/locations/{location}/endpoints/{endpoint}.

Returns:

(::String) —
Required. The name of the Endpoint requested to serve the prediction. Format: projects/{project}/locations/{location}/endpoints/{endpoint}

# File 'proto_docs/google/cloud/aiplatform/v1/prediction_service.rb', line 101

class RawPredictRequest
  include ::Google::Protobuf::MessageExts
  extend ::Google::Protobuf::MessageExts::ClassMethods
end

#http_body ⇒ `::Google::Api::HttpBody`

Returns The prediction input. Supports HTTP headers and arbitrary data payload.

A DeployedModel may have an upper limit on the number of instances it supports per request. When this limit it is exceeded for an AutoML model, the RawPredict method returns an error. When this limit is exceeded for a custom-trained model, the behavior varies depending on the model.

You can specify the schema for each instance in the predict_schemata.instance_schema_uri field when you create a Model. This schema applies when you deploy the Model as a DeployedModel to an Endpoint and use the RawPredict method.