Package model_service (2.5.0)

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.

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.

API documentation for retail_v2beta.services.model_service.pagers module.