Consistent filtering of machine learning data
US10540606B2 · kind B2 · utility
6Cited by
21References
20Claims
0Family size
Assignee
Inventors
Key dates
| Filing date | Aug 14, 2014 |
| Grant date | Jan 21, 2020 |
| Priority date | — |
| Expiry date | Jul 31, 2038 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06N20/00
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
Consistency metadata, including a parameter for a pseudo-random number source, are determined for training-and-evaluation iterations of a machine learning model. Using the metadata, a first training set comprising records of at least a first chunk is identified from a plurality of chunks of a data set. The first training set is used to train a machine learning model during a first training-and-evaluation iteration. A first test set comprising records of at least a second chunk is identified using the metadata, and is used to evaluate the model during the first training-and-evaluation iteration.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.