Models

integrate.ai supports both built-in and custom federated learning models. Use the standard models that are available out of the box to become familiar with the product.

You define models using JSON configuration files during session creation.

API Model class

The integrate.ai API includes a Model class that stores both models and their definitions.

Typical usage example:

client = connect("token") 
already_trained_session_id = "1234"
session = client.fl_session(already_trained_session_id)
model = model.from_session(client, session.id, session.package_name)
pytorch_model = model.as_pytorch() 

For more information, see the API Documentation.