System and method for automatic generation of features from datasets for use in an automated machine learning process
US10410138B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | May 26, 2016 |
| Grant date | Sep 10, 2019 |
| Priority date | — |
| Expiry date | May 26, 2036 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06F16/285
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
There is provided a method for generating features for use in an automated machine learning process, comprising: receiving a first training dataset comprising unclassified raw data instances each including a set of objects of arbitrary types; applying a function to each data instance to calculate a set of first results; generating a set of classification features each including the function for application to a newly received data instance to calculate a second result, and a condition defined by a respective member of the set of first results applied to the second result; applying each classification feature to each instance of an unclassified second training dataset to generate a set of extracted features; selecting a subset of pivotal classification features from the set of classification features according to a correlation requirement between classification variable(s) and each respective member of the set of extracted features; and documenting the subset of pivotal features.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.