Techniques for the automated customization and deployment of a machine learning application
US11921815B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | Sep 13, 2020 |
| Grant date | Mar 5, 2024 |
| Priority date | — |
| Expiry date | Nov 12, 2042 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06N5/022
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
A server system can receive an input identifying a problem to generate a solution using a machine-learning application. The method selects a machine-learning model template from a plurality of templates based at least in part on the input. The method analyzes one or more formats of the customer data to generate a customer data schema based at least in part a data ontology that applies to the identified problem. The method determines whether the customer data schema is misaligned with one or more key features of the selected machine-learning model template. Based on this determination, the method analyzes the metadata for the selected machine-learning model template to determine what additional information is required to re-align the customer data with the data expectations. The method can include gathering the addition information required to re-align the customer data with the data expectations of the selected machine-learning model template.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.