Automated machine learning pipeline exploration and deployment
US11727314B2 · kind B2 · utility
1Cited by
2References
23Claims
0Family size
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Key dates
| Filing date | Sep 30, 2019 |
| Grant date | Aug 15, 2023 |
| Priority date | — |
| Expiry date | Mar 5, 2042 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06N5/01
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
Techniques for automated machine learning (ML) pipeline exploration and deployment are described. An automated ML pipeline generation system allows users to easily construct optimized ML pipelines by providing a dataset, identifying a target column in the dataset, and providing an exploration budget. Multiple candidate ML pipelines can be identified and evaluated through an exploration process, and a best ML pipeline can be provided to the requesting user or deployed for production inference. Users can configure, monitor, and adapt the exploration at multiple points in time throughout.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.