Retail V2 API - Module Google::Cloud::Retail::V2::ModelService (v2.6.0)
Reference documentation and code samples for the Retail V2 API module Google::Cloud::Retail::V2::ModelService.
Service for performing CRUD operations on models.
Recommendation models contain all the metadata necessary to generate a set of
models for the Predict() API. A model is queried
indirectly via a ServingConfig, which associates a model with a
given Placement (e.g. Frequently Bought Together on Home Page).
This service allows you to do the following:
- Initiate training of a model.
- Pause training of an existing model.
- List all the available models along with their metadata.
- Control their tuning schedule.
To load this service and instantiate a REST client:
require "google/cloud/retail/v2/model_service/rest"
client = ::Google::Cloud::Retail::V2::ModelService::Rest::Client.new
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Last updated 2025-10-10 UTC.
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