Vertex AI V1 API - Class Google::Cloud::AIPlatform::V1::RawPredictRequest (v0.27.0)

Reference documentation and code samples for the Vertex AI V1 API class Google::Cloud::AIPlatform::V1::RawPredictRequest.

Request message for PredictionService.RawPredict.

Inherits

  • Object

Extended By

  • Google::Protobuf::MessageExts::ClassMethods

Includes

  • Google::Protobuf::MessageExts

Methods

#endpoint

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

#endpoint=

def endpoint=(value) -> ::String
Parameter
  • value (::String) — 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}

#http_body

def http_body() -> ::Google::Api::HttpBody
Returns
  • (::Google::Api::HttpBody) — 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.

#http_body=