Invention Grant
- Patent Title: Automatic monitoring and adjustment of machine learning model training
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Application No.: US16199823Application Date: 2018-11-26
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Publication No.: US11562225B2Publication Date: 2023-01-24
- Inventor: Chao Xue , Rong Yan , Yonghua Lin , Yonggang Hu , Yu Song
- 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: Tutunjian & Bitetto, P.C.
- Agent Joseph Petrokaitis
- Main IPC: G06N3/08
- IPC: G06N3/08 ; G06K9/62

Abstract:
Methods and systems for training a machine learning model include training a machine learning model using training data. A status of the machine learning model's training is determined based on an accuracy curve of the machine learning model over the course of the training. Parameters of the training are adjusted based on the status. Training of the machine learning model is completed using the adjusted parameters.
Public/Granted literature
- US20200167639A1 AUTOMATIC MONITORING AND ADJUSTMENT OF MACHINE LEARNING MODEL TRAINING Public/Granted day:2020-05-28
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