Custom models in Clean Rooms ML

With Clean Rooms ML, members of a collaboration can use a dockerized custom model algorithm that is stored in Amazon ECR to jointly analyze their data. To do this, the model provider must create an image and store it in Amazon ECR. Follow the steps in Amazon Elastic Container Registry User Guide to create a private repository that will contain the custom ML model.

Any member of a collaboration can be the model provider, provided they have the correct permissions. All members of a collaboration can contribute data to the model. For the purpose of this guide, members contributing data are referred to as data providers. The member who creates the collaboration is the collaboration creator, and this member can be either the model provider, one of the data providers, or both.

The following topics describe the information necessary to create a custom ML model