Retail V2 API - Module Google::Cloud::Retail::V2::ModelService (v2.6.0)
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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
Except as otherwise noted, the content of this page is licensed under the Creative Commons Attribution 4.0 License, and code samples are licensed under the Apache 2.0 License. For details, see the Google Developers Site Policies. Java is a registered trademark of Oracle and/or its affiliates.
Last updated 2025-10-10 UTC.
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