Welcome

Welcome to the AWS Clean Rooms ML API Reference.

AWS Clean Rooms ML provides a privacy-enhancing method for two parties to identify similar users in their data without the need to share their data with each other. The first party brings the training data to AWS Clean Rooms so that they can create and configure an audience model (lookalike model) and associate it with a collaboration. The second party then brings their seed data to AWS Clean Rooms and generates an audience (lookalike segment) that resembles the training data.

To learn more about AWS Clean Rooms ML concepts, procedures, and best practices, see the AWS Clean Rooms User Guide.

To learn more about SQL commands, functions, and conditions supported in AWS Clean Rooms, see the AWS Clean Rooms SQL Reference.

This document was last published on December 20, 2024.