Systems and methods for auto-deployment of a machine learning component within a pipelined search query
US12131233B1 · kind B1 · utility
Assignee
Inventors
Key dates
| Filing date | Oct 19, 2020 |
| Grant date | Oct 29, 2024 |
| Priority date | — |
| Expiry date | Apr 1, 2043 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06N5/04
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
A method for deployment of machine-learning based operators within a query is described. For this embodiment, a sequence of operators associated with a query is identified, which includes at least a first operator and at least a second operator. The second operator is configured to perform operations, in accordance with a machine learning (ML) component, on data received as input from execution of the first operator. Schemas associated with the machine learning component is retrieved along with schemas associated with other operators within the sequence. Compatibility between at least an output schema associated with the first operator and an input schema associated with the second operator associated with the ML component is determined. Thereafter, a portion of the sequence of operators including at least the second operator and another operator of the sequence of operators successive to the second operator may be stored within a data store for subsequent use.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.