Welcome to RIME!
The Robust Intelligence Model Engine (RIME) enables comprehensive testing of data and model performance at the pre-development and post-development stages of the model life cycle.
RIME documentation covers several broad topic areas. If you’re new to RIME or want to familiarize yourself with core concepts of machine learning, RIME at a Glance provides an overview.
The most recent version of this documentation is always available here.
RIME at a Glance
To find information on how to achieve day-to-day data science tasks with RIME, look in the Testing and monitoring models with RIME section, which discusses actively using RIME to evaluate datasets and models. Configuring alerts, setting up integrations, and running tests on uploaded models are all discussed here.
Testing and monitoring models with RIME
Administering RIME discusses tasks related to the maintenance and administration of an RIME instance, including user account management, role assignments, authentication systems, and API access.
Administering RIME
RIME instances are available as cloud installations, either fully managed by Robust Intelligence or directly managed by you. RIME can also be installed as a stand-alone, self-hosted application. The installation process is discussed in Installing RIME.
Installing RIME
The Reference section contains in-depth details about the Python SDK, including detailed JSON templates to configure stress testing for RIME.