Patent · US Active

Cross in-database machine learning

US11755896B2 · kind B2 · utility

1Cited by

2References

20Claims

0Family size

Assignee

SAP SE · DE

Inventors

Marco Antonio Carniel Furlanetto · Porto Alegre, BR
Alessandro Parolin · São Leopoldo, BR
Cristiano Ruschel Marques Dias · Porto Alegre, BR
Alejandro Salinger · Berlin, DE

Key dates

Filing date	Oct 12, 2022
Grant date	Sep 12, 2023
Priority date	—
Expiry date	Oct 12, 2042

Classification

Technology area (CPC G)Physics
CPC primaryG06F16/2458
WIPO fieldComputer technology
WIPO sectorElectrical engineering

Abstract

In some example embodiments, a computer-implemented method may include training a machine learning model in a first database instance using a machine learning algorithm and a training dataset in response to receiving a request to train, serializing the trained machine learning model into a binary file in response to the training of the machine learning model, recreating the trained machine learning model in a second database instance using the binary file in response to receiving a request to apply the machine learning model, and generating an inference result by applying the recreated trained machine learning model on the inference dataset in the second database instance.

Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.