Invention Grant
- Patent Title: Code generation for Auto-AI
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Application No.: US16919258Application Date: 2020-07-02
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Publication No.: US11861469B2Publication Date: 2024-01-02
- Inventor: Peter Daniel Kirchner , Gregory Bramble , Horst Cornelius Samulowitz , Dakuo Wang , Arunima Chaudhary , Gregory Filla
- Applicant: INTERNATIONAL BUSINESS MACHINES CORPORATION
- Applicant Address: US NY Armonk
- Assignee: International Business Machines Corporation
- Current Assignee: International Business Machines Corporation
- Current Assignee Address: US NY Armonk
- Agent Andre Adkins
- Main IPC: G06N20/00
- IPC: G06N20/00 ; G06F8/35 ; G06F8/76

Abstract:
An embodiment of the invention may include a method, computer program product, and system for creating a data analysis tool. The method may include a computing device that generates an AI pipeline based on an input dataset, wherein the AI pipeline is generated using an Automated Machine Learning program. The method may include converting the AI pipeline to a non-native format of the Automated Machine Learning program. This may enable the AI pipeline to be used outside of the Automated Machine Learning program, thereby increasing the usefulness of the created program by not tying it to the Automated Machine Learning program. Additionally, this may increase the efficiency of running the AI pipeline by eliminating unnecessary computations performed by the Automated Machine Learning program.
Public/Granted literature
- US20220004914A1 CODE GENERATION FOR AUTO-AI Public/Granted day:2022-01-06
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