Package model_service (1.19.1)

API documentation for retail_v2alpha.services.model_service package.

Classes

ModelServiceAsyncClient

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.

ModelServiceClient

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.

Modules

pagers

API documentation for retail_v2alpha.services.model_service.pagers module.