Semi-structured data storage and processing functionality to store sparse feature sets
US11461351B1 · kind B1 · utility
Assignee
Inventors
Key dates
| Filing date | Jul 31, 2021 |
| Grant date | Oct 4, 2022 |
| Priority date | — |
| Expiry date | Jul 31, 2041 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06F16/86
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
The subject technology receives raw input data from a source table, the raw input data including data comprising input features for a machine learning model, the raw input data being in a first format including at least multiple rows with each row including multiple columns of values. Based at least in part on the source table, the subject technology generates table metadata corresponding to the source table. Based at least in part on the received raw input data, the subject technology generates column metadata corresponding to values from the source table. 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 the generated table metadata, the generated column metadata, and the generated cell data.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.