Hyperparameter tuning in a database environment
US11561946B1 · kind B1 · utility
Assignee
Inventors
Key dates
| Filing date | Oct 29, 2021 |
| Grant date | Jan 24, 2023 |
| Priority date | — |
| Expiry date | Oct 29, 2041 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06N20/20
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
Embodiments of the present disclosure describe systems, methods, and computer program products for executing and tuning a machine learning operation within a database. An example method can include receiving a data query referencing an input data set of a database, executing a plurality of machine learning operations to generate, in view of the input data set, a plurality of output data sets each having a respective accuracy value, wherein each of the plurality of machine learning operations is executed by a processing device according to one of a plurality of unique sets of hyperparameters, selecting a first output data set of the plurality of output data sets in view of the accuracy values, and returning the first output data set in response to the data query.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.