Fully managed repository to create, version, and share curated data for machine learning development
US11704299B1 · kind B1 · utility
Assignee
Inventors
Key dates
| Filing date | Mar 18, 2021 |
| Grant date | Jul 18, 2023 |
| Priority date | — |
| Expiry date | Sep 16, 2041 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06N20/10
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
Techniques and technologies for providing a fully managed datastore for clients to securely store, discover, retrieve, remove, and share curated data, or features, to develop machine learning (ML) models in an efficient manner. The feature store service may provide clients with the ability to create and store feature groups that include features and associated metadata providing clients with a quick understanding of features so that they may determine which features are suitable for training ML models and/or use with ML models. The feature store service may provide first a data store configured to store the most recent values associated with a feature group, such that client can access the features and utilize ML models to make real-time predictions with low latency and high throughput, and a second datastore configured to store historical values associated with a feature group, such that a client can utilize the features to train ML models.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.