Storing feature sets using semi-structured data storage
US11609927B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | Aug 30, 2022 |
| Grant date | Mar 21, 2023 |
| Priority date | — |
| Expiry date | Aug 30, 2042 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06F16/86
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
The subject technology receives, by a database system, raw input data from a source table provided by a machine learning development environment, the source table comprising multiple rows where each row includes multiple columns, the raw input data comprising values in a first format, the values comprising input features corresponding to datasets included in the raw input data for machine learning models, the machine learning development environment comprising an external system from the database system and is accessed by a plurality of different users that are external to the database system. The subject technology generates cell data for a feature store table based at least in part on the values from the source table. The subject technology performs at least one database operation to generate the feature store table including at least table metadata, column metadata, and the generated cell data.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.