Machine-learning model to predict probability of success of an operator in a PaaS cloud environment
US12124924B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | Nov 17, 2020 |
| Grant date | Oct 22, 2024 |
| Priority date | — |
| Expiry date | Aug 26, 2042 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06N3/02
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
Systems and methods are provided that integrate a machine-learning model, and more specifically, utilizing a platform as a service (PaaS) cloud to predict probability of success for an operator in an environment. An embodiment comprises a system having: a processor that executes computer executable components stored in memory, trained machine-learning model that predicts probability of success for deployment of an operator in an environment with a namespace of a platform as a service (PaaS) cloud, and a deployment component that receives a first operator and a first namespace and employs the trained machine-learning model to predict success of deployment of the first operator in a first environment.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.