Estimating feasibility and effort for a machine learning solution
US11556810B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | Jul 11, 2019 |
| Grant date | Jan 17, 2023 |
| Priority date | — |
| Expiry date | Nov 23, 2040 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06N5/04
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
A method, computer system, and a computer program product for assessing a likelihood of success associated with developing at least one machine learning (ML) solution is provided. The present invention may include generating a set of questions based on a set of raw training data. The present invention may also include computing a feasibility score based on an answer corresponding with each question from the generated set of questions. The present invention may then include, in response to determining that the computed feasibility score satisfies a threshold, computing a level of effort associated with developing the at least one ML solution to address a problem. The present invention may further include presenting, to a user, a plurality of results associated with assessing the likelihood of success of the at least one ML solution.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.