Machine learning algorithm resource sharing method and system based on unified description expression

Abstract

The invention discloses a machine learning algorithm resource sharing method and system based on unified description expression. The method comprises the steps: building a six-tuple unified description model of a machine learning algorithm, and carrying out the formalized expression to form knowledge related to the description of the machine learning algorithm; designing a knowledge base structurebased on the knowledge related to the machine learning algorithm description, storing and organizing algorithm knowledge, and designing a corresponding database access interface to support algorithmknowledge base management; based on the requirements of a knowledge base and an upper-layer application for algorithms, a candidate machine learning algorithm set is obtained through a matching method, and then an optimal machine learning algorithm is determined through an evaluation method; and based on the optimal machine learning algorithm, executing a target machine learning algorithm, and converting input into output for further analysis and decision making of an upper-layer application. According to the method, the problem that an upper application selects an appropriate algorithm from massive machine learning algorithm resources can be solved, and algorithm resource sharing and intelligent matching can be realized.

Description

technical field [0001] The invention relates to the technical field of computer data processing, in particular to a method and system for sharing machine learning algorithm resources based on unified description and expression. Background technique [0002] Machine learning is a method driven by big data to solve data analysis and data mining problems. At this stage, information networks, sensor devices, and intelligent applications will generate a large amount of data. Traditional data processing methods based on a single model or method are difficult to gain insight into the information and knowledge contained in big data. It is necessary to introduce a variety of machine learning algorithms for exploratory analysis. . [0003] In the face of large-scale machine learning algorithm resources, it is difficult to select an algorithm that is suitable for analysis needs. Even experienced data scientists and computer algorithm developers have difficulty mastering so much machin...

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Problems solved by technology

[0005] The technical problem solved by the present invention is to provide a machine learning algorithm resource sharing method and system based on unified description and expression, and solve the problem of high difficulty in selecting machine learning algorithms for machine applications and agents

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