Machine learning model life cycle management system and method

A machine learning model and life cycle technology, applied in software maintenance/management, version control, etc., can solve the problems of lack of system management in model development, difficulty in data storage and management, and many repetitive tasks, so as to improve the language generalization ability. , shorten the development cycle, enhance the effect of reusability

Inactive Publication Date: 2020-06-19
UNIV OF ELECTRONICS SCI & TECH OF CHINA
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  • Abstract
  • Description
  • Claims
  • Application Information

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Problems solved by technology

[0009] Aiming at the above-mentioned deficiencies in the prior art, the present invention provides a machine learning model lifecycle management system and method that solves the problems of repetitive work and lack of system management and data storage in model development in the existing machine learning model lifecycle management process. and manage difficult issues

Method used

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  • Machine learning model life cycle management system and method
  • Machine learning model life cycle management system and method
  • Machine learning model life cycle management system and method

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Embodiment 1

[0066] Such as figure 1 As shown, a machine learning model life cycle management system includes a sequentially connected template library module, training model module and online module;

[0067] The template library module is used to implement functions such as template import, template creation, template modification, template deletion, and template search. At the same time, the template library model encapsulates many common methods such as data preprocessing methods, feature function methods, and common model structures;

[0068] The training model module is used to implement functions such as importing models, creating new models from the template library, running model parameters, exporting models, modifying models, and launching models. The training model module can choose a variety of methods and strategies from the template module module to build the required model, and perform parameter transfer operation, parameter adjustment optimization, etc.;

[0069] The onlin...

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Abstract

The invention discloses a machine learning model life cycle management system and method. In order to reduce repetitive work, systematically manage the model and achieve rapid online iteration of themodel, seamless connection from model creation to model deployment is achieved by modularization of life cycle service of the machine learning model, use of model service is guaranteed, and operationis convenient and rapid.

Description

technical field [0001] The invention belongs to the technical field of machine learning model management, and in particular relates to a machine learning model lifecycle management system and method. Background technique [0002] The development results of artificial intelligence have been widely respected and applied in finance, and model services are playing an increasingly important role in various business fields. At present, the development of model services lacks unified system management, and developers work piecemeal at each stage of the model life cycle. , invested a lot of manpower and material resources, but with the expansion of the application scale and the deepening of the complexity, there are still some defects in the development, management, operation monitoring, etc. of the model: [0003] 1) The training data needs to be completed manually: due to the lack of a unified feature management platform, the original data required for training still needs to be c...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06F8/71
CPCG06F8/71
Inventor 陈波左御丁史特孙孟凡
Owner UNIV OF ELECTRONICS SCI & TECH OF CHINA
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