Invention Grant
- Patent Title: Conditional parallel coordinates in automated artificial intelligence with constraints
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Application No.: US16832528Application Date: 2020-03-27
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Publication No.: US11556816B2Publication Date: 2023-01-17
- Inventor: Daniel Karl I. Weidele , Parikshit Ram , Dakuo Wang , Abel Nicolas Valente , Arunima Chaudhary
- 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
- Agency: Amin, Turocy & Watson, LLP
- Main IPC: H04L9/40
- IPC: H04L9/40 ; G06N5/04 ; G06N20/00

Abstract:
Systems, computer-implemented methods, and computer program products to facilitate conditional parallel coordinates in automated artificial intelligence with constraints are provided. According to an embodiment, a system can comprise a memory that stores computer executable components and a processor that executes the computer executable components stored in the memory. The computer executable components can comprise a visualization component that renders a pipeline constraint as a constraint axis having constraint scores of machine learning pipelines in a conditional parallel coordinates visualization. The computer executable components can further comprise a model generation component that generates a machine learning model based on the constraint scores of the machine learning pipelines.
Public/Granted literature
- US20210304028A1 CONDITIONAL PARALLEL COORDINATES IN AUTOMATED ARTIFICIAL INTELLIGENCE WITH CONSTRAINTS Public/Granted day:2021-09-30
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