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:
