Automated artificial intelligence radial visualization

US11514361B2 · kind B2 · utility

Assignee

• International Business Machines Corporation · US

Inventors

• Theodoros Salonidis · College Park, US
• John Dillon Eversman · Austin, US
• Dakuo Wang · Cambridge, US
• Alex Swain · Cedar Park, US
• Gregory Bramble · Larchmont, US
• Lin Ju · Taoyuan, TW
• Nicholas Mazzitelli · Vaughan, CA
• Voranouth Supadulya · Austin, US

Key dates

• Filing date: Aug 30, 2019
• Grant date: Nov 29, 2022
• Expiry date: Jul 10, 2040

Classification

• Technology area (CPC G): Physics
• CPC primary: G06N20/20
• WIPO field: Computer technology
• WIPO sector: Electrical engineering

Abstract

Embodiments for providing automated machine learning visualization. Machine learning tasks, transformers, and estimators may be received into one or more machine learning composition modules. The machine learning composition modules generate one or more machine learning models. A machine learning model pipeline is a sequence of transformers and estimators and an ensemble of machine learning pipelines are an ensemble of machine learning pipelines. A machine learning model pipeline, an ensemble of a plurality of machine learning model pipelines, or a combination thereof, along with corresponding metadata, may be generated using the machine learning composition modules. Metadata may be extracted from the machine learning model pipeline, the ensemble of a plurality of machine learning model pipelines, or combination thereof. An interactive visualization graphical user interface of the machine learning model pipeline, the ensemble of a plurality of machine learning model pipelines, or combination thereof, and the extracted metadata may be generated.