Feature generation pipeline for machine learning
US11195023B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | Jun 30, 2018 |
| Grant date | Dec 7, 2021 |
| Priority date | — |
| Expiry date | Sep 19, 2040 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06Q30/0631
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
Techniques for implementing a feature generation pipeline for machine learning are provided. In one technique, multiple jobs are executed, each of which computes a different set of feature values for a different feature of multiple features associated with videos. A feature registry is stored that lists each of the multiple features. After the jobs are executed and the feature registry is stored, a model specification is received that indicates a set of features for a model. For each feature in a subset of the set of features, a location is identified in storage where a value for said each feature is found and the value for that feature is retrieved from the location. A feature vector is created that comprises, for each feature in the set of features, the value that corresponds to that feature. The feature vector is used to train the model or as input to the model.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.