论文标题
MLOP-定义，工具和挑战
MLOps -- Definitions, Tools and Challenges
论文作者
论文摘要
本文是机器学习操作（MLOP）领域的概述。我们的目的是通过突出当前的问题和趋势来定义此类系统的操作和组件。在这种情况下，我们介绍了不同的工具及其有用性，以提供相应的准则。此外，还确定了MLOPS和AUTOML（自动化机器学习）之间的连接以及如何提出这种组合。
This paper is an overview of the Machine Learning Operations (MLOps) area. Our aim is to define the operation and the components of such systems by highlighting the current problems and trends. In this context, we present the different tools and their usefulness in order to provide the corresponding guidelines. Moreover, the connection between MLOps and AutoML (Automated Machine Learning) is identified and how this combination could work is proposed.
