SMT 2.0：代理建模工具箱，重点关注分层和混合变量高斯过程,Advances in Engineering Software

代理建模工具箱 (SMT) 是一个开源 Python 包，提供代理建模方法、采样技术和一组示例问题的集合。本文介绍了SMT 2.0 ，这是 SMT 的一个主要新版本，它为工具箱引入了重大升级和新功能。此版本增加了处理混合变量代理模型和分层变量的功能。这些类型的变量在一些代理建模应用中变得越来越重要。SMT 2.0还通过扩展采样方法、添加新的代理模型以及计算克里金法的方差和核导数来改进 SMT。此版本还包括处理噪声和使用多保真度数据的新函数。据我们所知，SMT 2.0是第一个为分层和混合输入提出代理模型的开源代理库。该开源软件根据 New BSD 许可证分发。2

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The Surrogate Modeling Toolbox (SMT) is an open-source Python package that offers a collection of surrogate modeling methods, sampling techniques, and a set of sample problems. This paper presents SMT 2.0, a major new release of SMT that introduces significant upgrades and new features to the toolbox. This release adds the capability to handle mixed-variable surrogate models and hierarchical variables. These types of variables are becoming increasingly important in several surrogate modeling applications. SMT 2.0 also improves SMT by extending sampling methods, adding new surrogate models, and computing variance and kernel derivatives for Kriging. This release also includes new functions to handle noisy and use multi-fidelity data. To the best of our knowledge, SMT 2.0 is the first open-source surrogate library to propose surrogate models for hierarchical and mixed inputs. This open-source software is distributed under the New BSD license.2