US 11,861,469 B2
Code generation for Auto-AI
Peter Daniel Kirchner, Putnam Valley, NY (US); Gregory Bramble, Larchmont, NY (US); Horst Cornelius Samulowitz, White Plains, NY (US); Dakuo Wang, Cambridge, MA (US); Arunima Chaudhary, Boston, MA (US); and Gregory Filla, Chicago, IL (US)
Assigned to International Business Machines Corporation, Armonk, NY (US)
Filed by INTERNATIONAL BUSINESS MACHINES CORPORATION, Armonk, NY (US)
Filed on Jul. 2, 2020, as Appl. No. 16/919,258.
Prior Publication US 2022/0004914 A1, Jan. 6, 2022
Int. Cl. G06N 20/00 (2019.01); G06F 8/35 (2018.01); G06F 8/76 (2018.01)
CPC G06N 20/00 (2019.01) [G06F 8/35 (2013.01); G06F 8/76 (2013.01)] 24 Claims
OG exemplary drawing
 
1. A method for creating a data analysis tool, the method comprising:
generating an AI pipeline based on an input dataset, wherein the AI pipeline is generated using an Automated Machine Learning program;
optimizing the AI pipeline based on scoring of previous AI pipelines associated with the AI pipeline;
converting the AI pipeline to a non-native format of the Automated Machine Learning program; and
displaying a ranking of the AI pipeline along with an associated score from the scoring.