Patent · US Active

Orchestrator for machine learning pipeline

US11586986B2 · kind B2 · utility

0Cited by

1References

18Claims

0Family size

Assignee

SAP SE · DE

Inventors

Lukas Carullo · Walldorf, DE
Patrick Brose · San Francisco, US
Kun Bao · Sunnyvale, US
Anubhav Bhatia · Sunnyvale, US
Leonard Brzezinski · San Jose, US
Lauren McMullen · Park Village, US
Simon Lee · San Ramon, US

Key dates

Filing date	Feb 25, 2019
Grant date	Feb 21, 2023
Priority date	—
Expiry date	Dec 10, 2041

Classification

Technology area (CPC G)Physics
CPC primaryG06F16/355
WIPO fieldComputer technology
WIPO sectorElectrical engineering

Abstract

Provided is a system and method for training and validating models in a machine learning pipeline for failure mode analytics. The machine learning pipeline may include an unsupervised training phase, a validation phase and a supervised training and scoring phase. In one example, the method may include receiving an identification of a machine learning model, executing a machine learning pipeline comprising a plurality of services which train the machine learning model via at least one of an unsupervised learning process and a supervised learning process, the machine learning pipeline being controlled by an orchestration module that triggers ordered execution of the services, and storing the trained machine learning model output from the machine learning pipeline in a database associated with the machine learning pipeline.

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