Systems and methods implementing an intelligent machine learning tuning system providing multiple tuned hyperparameter solutions
US11270217B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | Nov 16, 2018 |
| Grant date | Mar 8, 2022 |
| Priority date | — |
| Expiry date | Nov 16, 2038 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06N5/025
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
Systems and methods include receiving a tuning work request for tuning hyperparameters of a third-party model or system; performing, by a machine learning-based tuning service, a first tuning of the hyperparameters in a first tuning region; identifying tuned hyperparameter values for each of the hyperparameters based on results of the first tuning; setting a failure region based on the tuned hyperparameter values of the first tuning; performing, by the machine learning-based tuning service, a second tuning of the hyperparameters in a second tuning region that excludes the failure region; identifying additional tuned hyperparameter values for each of the hyperparameters based on results of the second tuning; and returning the tuned hyperparameter values and the additional hyperparameter values for implementing the third-party model or system with one of the tuned hyperparameter values and the additional hyperparameter values.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.