Invention Grant
- Patent Title: Continuous learning system for models without pipelines
-
Application No.: US16384023Application Date: 2019-04-15
-
Publication No.: US11556860B2Publication Date: 2023-01-17
- Inventor: Lukasz G. Cmielowski , Rafal Bigaj , Blazej Rafal Rutkowski , Wojciech Sobala
- 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 Peter K. Suchecki
- Main IPC: G06N20/20
- IPC: G06N20/20 ; G06K9/62 ; G06F17/18

Abstract:
An ML root model format having a root model definition, is converted into an ML target model format not having the root model definition. A learning system is assigned to the root model definition that is convertible to the machine learning target model format. A new version of the root model definition is ported from the ML root model to the format of the ML target model to generate a new version of the machine learning target model after a learning iteration of the learning system. Quality limits are determined using an X control chart method based on a cross-validation of fold results generated during a validation of the new version of the machine learning root model. A quality metric value of the new version of the ML target model is evaluated against the quality threshold values of the new version of the ML root model.
Public/Granted literature
- US20200327457A1 CONTINUOUS LEARNING SYSTEM FOR MODELS WITHOUT PIPELINES Public/Granted day:2020-10-15
Information query