The patent badge is an abbreviated version of the USPTO patent document. The patent badge does contain a link to the full patent document.

The patent badge is an abbreviated version of the USPTO patent document. The patent badge covers the following: Patent number, Date patent was issued, Date patent was filed, Title of the patent, Applicant, Inventor, Assignee, Attorney firm, Primary examiner, Assistant examiner, CPCs, and Abstract. The patent badge does contain a link to the full patent document (in Adobe Acrobat format, aka pdf). To download or print any patent click here.

Date of Patent:
Jul. 15, 2025

Filed:

Jul. 15, 2021
Applicant:

The Boeing Company, Chicago, IL (US);

Inventors:

Dragos D. Margineantu, Bellevue, WA (US);

Seema Chopra, Bengaluru, IN;

Sarada P. Mohapatra, Bengaluru, IN;

Akshata Kishore Moharir, Bengaluru, IN;

Assignee:

The Boeing Company, Arlington, VA (US);

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G06N 20/00 (2019.01); G06F 3/0486 (2013.01); G06F 8/34 (2018.01);
U.S. Cl.
CPC ...
G06N 20/00 (2019.01); G06F 3/0486 (2013.01); G06F 8/34 (2013.01);
Abstract

A method of architecting machine learning pipelines is provided. Example implementations of the method include causing an apparatus to generate a graphical user interface (GUI) from which a computing platform is accessible to architect machine learning pipelines. In example implementations, the method includes for a machine learning pipeline for a phase in the machine learning lifecycle: building software components that are separate, distinct and encapsulate respective processes executable to implement the phase in the machine learning lifecycle, the software components including ports that are communication endpoints of the software components. The method further includes interconnecting the software components with connections attached to the ports and thereby forming a network of interconnected software components that embodies the machine learning pipeline. The method also includes executing the machine learning pipeline and thereby the network of interconnected software components, and thereby implementing the phase in the machine learning lifecycle.


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