模型报告,机器学习工程师和用户的监督工具

Pub Date : 2022-01-14 DOI:10.46300/9109.2022.16.5
Amine Saboni, M. R. Ouamane, O. Bennis, F. Kratz
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引用次数: 1

摘要

本文研究了一种设计自动监督报告的方法,以确保设计人员和算法用户之间的适用性。为此,我们构建了一个专注于错误诊断的监督视觉工具。本文的论证首先依赖于对使用模型报告作为监督工件的原因的阐述,在组织级别上使用实现的原型,描述将其生产工业化所需的工具。最后,我们提出了一种以负责任和可持续的方式监督机器学习算法的方法,从算法的概念开始,沿着它的发展和运行阶段。
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Model Reports, a Supervision Tool for Machine Learning Engineers and Users
This article investigates a methodology to design an automated supervision report, ensuring the suitability between the designers and the users of an algorithm. For this purpose, we built a super-vision tool, focused on error diagnosis. The argumentation of the article relies first on the exposition of the reasons to use model reports as a supervision artefact, with a prototype of implementation at an organization level, describing the necessary tooling to industrialize its production. Finally, we propose a method for supervising machine learning algorithms in a responsible and sustainable way, starting from the conception of the algorithm, along its development and dur-ing its operating phase.
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