Retail V2 API - Module Google::Cloud::Retail::V2::ModelService (v2.6.0) Stay organized with collections Save and categorize content based on your preferences.
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:
[[["Easy to understand","easyToUnderstand","thumb-up"],["Solved my problem","solvedMyProblem","thumb-up"],["Other","otherUp","thumb-up"]],[["Hard to understand","hardToUnderstand","thumb-down"],["Incorrect information or sample code","incorrectInformationOrSampleCode","thumb-down"],["Missing the information/samples I need","missingTheInformationSamplesINeed","thumb-down"],["Other","otherDown","thumb-down"]],["Last updated 2025-10-10 UTC."],[],[]]
