Architecture for dynamic ML model drift evaluation and visualization on a GUI
US11816186B2 · kind B2 · utility
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20Claims
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Key dates
| Filing date | Jul 26, 2021 |
| Grant date | Nov 14, 2023 |
| Priority date | — |
| Expiry date | Jul 26, 2041 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06V30/19147
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
Systems, devices, methods, and computer-readable media for evaluation and visualization of machine learning data drift. A method can include receiving a series of data indicating accuracy and confidence associated with classification of respective batches of input samples, and dynamically displaying, on the GUI, a concurrent plot of the accuracy and confidence as the series of data are received.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.