公开(公告)号：US12033036B2

公开(公告)日：2024-07-09

申请号：US16943643

申请日：2020-07-30

Applicant: Intel Corporation

Inventor： Michael McCourt ,  Bolong Cheng ,  Taylor Jackie Spriggs ,  Halley Vance ,  Olivia Kim ,  Ben Hsu ,  Sarth Frey ,  Patrick Hayes ,  Scott Clark

IPC: G06N20/00 ,  G06F9/54 ,  G06F18/2115 ,  G06F18/214 ,  G06N20/20

CPC classification number: G06N20/00 ,  G06F9/541 ,  G06F18/2115 ,  G06F18/2148 ,  G06N20/20

Abstract: Systems and methods for tuning hyperparameters of a model include receiving a tuning request for tuning hyperparameters, the tuning request includes a first and a second objective function for the machine learning model. The first and second objective functions may output metric values that do not improve uniformly. Systems and methods additionally include defining a joint tuning function that is based on a combination of the first and second objective functions; executing a tuning operation; identifying a Pareto efficient frontier curve defined by a plurality of distinct hyperparameter values; applying metric thresholds to the Pareto efficient frontier curve; demarcating the Pareto efficient frontier curve into at least a first infeasible section and a second feasible section; searching the second feasible section of the Pareto efficient frontier curve for one or more proposed hyperparameter values; and identifying at least a first set of proposed hyperparameter values based on the search.