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Hyper-parameter optimization method and device and computing equipment

An optimization method and hyperparameter technology, applied in computing, computing models, instruments, etc., can solve problems such as low efficiency of hyperparameter instances

Pending Publication Date: 2022-05-06
ALIBABA GRP HLDG LTD
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0004] In view of this, the embodiment of the present application provides a hyperparameter optimization method, device, and computing equipment to solve the technical problem in the prior art that the instance efficiency of manually adjusting the hyperparameters of the data processing model is low

Method used

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  • Hyper-parameter optimization method and device and computing equipment
  • Hyper-parameter optimization method and device and computing equipment
  • Hyper-parameter optimization method and device and computing equipment

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Embodiment Construction

[0027] In order to make the purposes, technical solutions and advantages of the embodiments of the present application clearer, the technical solutions in the embodiments of the present application will be clearly and completely described below in conjunction with the drawings in the embodiments of the present application. Obviously, the described embodiments It is a part of the embodiments of this application, not all of them. Based on the embodiments in this application, all other embodiments obtained by persons of ordinary skill in the art without creative efforts fall within the protection scope of this application.

[0028] Terms used in the embodiments of the present application are only for the purpose of describing specific embodiments, and are not intended to limit the present application. The singular forms "a", "said" and "the" used in the embodiments of this application and the appended claims are also intended to include plural forms, unless the context clearly in...

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Abstract

Embodiments of the invention provide a hyper-parameter optimization method and apparatus, and a computing device. The method comprises the steps of determining a first hyper-parameter instance currently corresponding to a hyper-parameter of a data processing system; determining first effect evaluation information corresponding to the first hyper-parameter instance based on a first training result of the first hyper-parameter instance in the data processing system; obtaining a plurality of historical super-parameter instances and historical effect evaluation information corresponding to the plurality of historical super-parameter instances; and according to the first effect evaluation information corresponding to the first super-parameter instance and the historical effect evaluation information corresponding to the plurality of historical super-parameter instances, selecting a target super-parameter instance with the highest effect evaluation from the first super-parameter instance and the plurality of historical super-parameter instances. According to the embodiment of the invention, the hyper-parameter optimization efficiency is improved.

Description

technical field [0001] The present application relates to the technical field of electronic equipment, in particular to a hyperparameter optimization method and device, and computing equipment. Background technique [0002] A hyperparameter is a parameter set for the construction of a data processing model before the data processing model starts the learning process, rather than the parameter data of the model parameters obtained through training, for example, the number of hidden layers of the deep network in the machine learning model, the model The learning rate and so on can all belong to hyperparameters. The hyperparameters of a data processing model can usually include a plurality of sub-hyperparameters. When the respective parameter values ​​of the multiple sub-hyperparameters are set, a parameter instance of the hyperparameter can be formed. The selection of the parameter instance of the hyperparameter has a great impact on the data processing model. The learning ef...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06N20/00
CPCG06N20/00
Inventor 谢淼刘春辰
Owner ALIBABA GRP HLDG LTD