4.6 Article

MLweb: A toolkit for machine learning on the web

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NEUROCOMPUTING
卷 282, 期 -, 页码 74-77

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ELSEVIER
DOI: 10.1016/j.neucom.2017.11.069

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Machine learning; Classification; Regression; JavaScript

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This paper describes MLweb, an open source software toolkit for machine learning on the web. The specificity of MLweb is that all computations are performed on the client side without the need to send data to a third-party server. MLweb includes three main components: a JavaScript API for scientific computing (LALOLib), an extension of this library with machine learning tools (ML.js) and an online development environment (LALOLab) with many examples. (C) 2017 Elsevier B.V. All rights reserved.

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