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公开(公告)号:US12086725B2
公开(公告)日:2024-09-10
申请号:US16987148
申请日:2020-08-06
Applicant: Oracle International Corporation
Inventor: Suresh Kumar Golconda , Vijayalakshmi Krishnamurthy , Someshwar Maroti Kale , Sujay Sarkhel , Nickolas Kavantzas , Mohan U. Kamath , Neelesh Kumar Shukla , Vidya Mani , Amit Vaid
Abstract: Techniques for selecting universal hyper parameters for use in a set of machine learning models across multiple computing environments include detection of a triggering condition for tuning a set of universal hyper parameters. The set of universal hyper parameters dictate configuration of the set of machine learning models that are independently executing, respectively, in the multiple computing environments. Based on the detected triggering condition, a first subset of universal hyper parameters from the set of universal hyper parameters are altered to generate a second set of universal hyper parameters. The second set of universal hyper parameters are applied to the set of machine learning models across the multiple computing environments.