Management and evaluation of machine-learned models based on locally logged data
US10769549B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | Nov 21, 2016 |
| Grant date | Sep 8, 2020 |
| Priority date | — |
| Expiry date | Nov 13, 2038 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06N5/022
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
The present disclosure provides systems and methods for the management and/or evaluation of machine-learned models based on locally logged data. In one example, a user computing device can obtain a machine-learned model (e.g., from a server computing device) and can evaluate at least one performance metric for the machine-learned model. In particular, the at least one performance metric for the machine-learned model can be evaluated relative to data that is stored locally at the user computing device. The user computing device and/or the server computing device can determine whether to activate the machine-learned model on the user computing device based at least in part on the at least one performance metric. In another example, the user computing device can evaluate a plurality of machine-learned models against locally stored data. At least one of the models can be selected based on the evaluated performance metrics.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.