Systems and methods for hyperparameter tuning

US11210144B2 · kind B2 · utility

Assignee

• CAPITAL ONE SERVICES, LLC · US

Inventors

• Jeremy Goodsitt · Champaign, US
• Austin Walters · McLean, US
• Fardin Abdi Taghi Abad · Champaign, US
• Anh Truong · Champaign, US
• Mark Watson · Philadelphia, US
• Vincent Pham · Champaign, US
• Kate Key · Effingham, US
• Reza Farivar · Champaign, US

Key dates

• Filing date: Oct 26, 2018
• Grant date: Dec 28, 2021
• Expiry date: Dec 6, 2038

Classification

• Technology area (CPC G): Physics
• CPC primary: G06T2207/20084
• WIPO field: Computer technology
• WIPO sector: Electrical engineering

Abstract

A model optimizer is disclosed for managing training of models with automatic hyperparameter tuning. The model optimizer can perform a process including multiple steps. The steps can include receiving a model generation request, retrieving from a model storage a stored model and a stored hyperparameter value for the stored model, and provisioning computing resources with the stored model according to the stored hyperparameter value to generate a first trained model. The steps can further include provisioning the computing resources with the stored model according to a new hyperparameter value to generate a second trained model, determining a satisfaction of a termination condition, storing the second trained model and the new hyperparameter value in the model storage, and providing the second trained model in response to the model generation request.