Systems and methods for implementing an intelligent machine learning optimization platform for multiple tuning criteria
US10528891B1 · kind B1 · utility
Assignee
Inventors
Key dates
| Filing date | Jul 31, 2019 |
| Grant date | Jan 7, 2020 |
| Priority date | — |
| Expiry date | Jul 31, 2039 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06N7/01
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
Systems and methods for tuning hyperparameters of a model includes: receiving a multi-criteria tuning work request for tuning hyperparameters of the model of the subscriber to the remote tuning service, wherein the multi-criteria tuning work request includes: a first objective function of the model to be optimized by the remote tuning service; a second objective function to be optimized by the remote tuning service, the second objective function being distinct from the first objective function; computing a joint tuning function based on a combination of the first objective function and the second objective function; executing a tuning operation of the hyperparameters for the model based on a tuning of the joint function; and identifying one or more proposed hyperparameter values based on one or more hyperparameter-based points along a convex Pareto optimal curve.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.