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Abstract：
Machine Learning has gradually become a hot industry, widely used for data mining, computer vision, natural language processing, biometric recognition, search engine, medical diagnosis and so on. Due to the complex processing processes and various methods of machine learning, it often takes a lot of time in practical applications. For this problem, an easy-to-use assembling tool and a runtime engine for the machine learning process is of great benefit. In this paper, we propose a component-based assembling tool and a runtime engine that can be used to quickly build self-executing machine learning processes and monitor process execution. First of all, we introduce the algorithm components, which includes many machine learning methods. Then, we present the assembling tool. The purpose of the assembling tool is the layout, which is the design phase of the process. After that, we introduce the runtime engine. The engine is responsible for executing the designed process, which is the running phase of the process. Finally, we evaluate and discuss how to use this tool to speed up the efficiency of machine learning processing. © 2018 IEEE.
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Year： 2018
Language： English
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