Invention Grant
- Patent Title: Automated generation of a machine learning pipeline
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Application No.: US16851775Application Date: 2020-04-17
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Publication No.: US11625632B2Publication Date: 2023-04-11
- Inventor: Akihiro Kishimoto , Djallel Bouneffouf , Bei Chen , Radu Marinescu , Parikshit Ram , Ambrish Rwat , Martin Wistuba
- 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: G06N20/00
- IPC: G06N20/00 ; G06F9/38 ; G06N7/00 ; G06K9/62

Abstract:
Systems, computer-implemented methods, and computer program products to facilitate automated generation of a machine learning pipeline based on a pipeline grammar 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 pipeline structure generator component that generates a machine learning pipeline structure based on a pipeline grammar. The computer executable components can further comprise a pipeline optimizer component that selects one or more machine learning modules that achieve a defined objective to instantiate a machine learning pipeline based on the machine learning pipeline structure.
Public/Granted literature
- US20210326736A1 AUTOMATED GENERATION OF A MACHINE LEARNING PIPELINE Public/Granted day:2021-10-21
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