API documentation for retail_v2beta.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_v2beta.services.model_service.pagers module.