Systems and methods for implementing an intelligent machine learning optimization platform for multiple tuning criteria
US10558934B1 · kind B1 · utility
Assignee
Inventors
Key dates
| Filing date | Jul 31, 2019 |
| Grant date | Feb 11, 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 at a remote tuning service a multi-criteria tuning work request for tuning hyperparameters of the model of a subscriber, 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 first conditionally constrained joint function for the model based on subjecting the first objective function to the second objective function; a second conditionally constrained joint function for the model based on subjecting the second objective function to the first objective function of the model; executing a tuning operation of the hyperparameters for the model; and identifying proposed hyperparameter values based on one or more hyperparameter-based points along a non-convex Pareto optimal curve.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.