Automated machine learning pipeline generation
US11989627B1 · kind B1 · utility
Assignee
Inventors
Key dates
| Filing date | Jun 29, 2020 |
| Grant date | May 21, 2024 |
| Priority date | — |
| Expiry date | Sep 22, 2042 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06N5/046
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
Various embodiments of apparatuses and methods for an automated machine learning pipeline service and an automated machine learning pipeline generator are described. In some embodiments, the service receives a request from a user to generate a machine learning solution, as well as a dataset that comprises values with different user variable types, and mapping of the user variable types to pre-defined types. The generator can validate the dataset, enrich the values of the dataset using external data sources, transform values of the dataset based on the pre-defined types, train a machine learning model using the enriched and transformed values, and compose an executable package, comprising enrichment recipes, transformation recipes, and the trained machine learning model, that generates scores for other data when executed. The service can further test the executable package using testing data, and provide results of the test to the user.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.