mlpack 4：一个快速的、仅包含头文件的C++机器学习库
mlpack 4: a fast, header-only C++ machine learning library
摘要：
15年来，mlpack机器学习库一直是基于C++的机器学习的“瑞士军刀”。它对常见和尖端机器学习算法的有效实现已被广泛用于各种科学和工业应用。本文概述了mlpack 4，这是其前身的重大升级。该库已进行了重大重构和重新设计，以促进更容易的原型到部署管道，包括绑定到其他语言（Python，Julia，R，Go和命令行），允许在C++以外的环境中无缝执行原型。mlpack是开源软件，在宽松的3条款BSD许可证下分发;可以在https://mlpack.org上获得
英文摘要：
For over 15 years, the mlpack machine learning library has served as a "swiss army knife" for C++-based machine learning. Its efficient implementations of common and cutting-edge machine learning algorithms have been used in a wide variety of scientific and industrial applications. This paper overviews mlpack 4, a significant upgrade over its predecessor. The library has been significantly refactored and redesigned to facilitate an easier prototyping-to-deployment pipeline, including bindings to other languages (Python, Julia, R, Go, and the command line) that allow prototyping to be seamlessly performed in environments other than C++. mlpack is open-source software, distributed under the permissive 3-clause BSD license; it can be obtained at https://mlpack.org
机构、总结、中文摘要均由AI分析而来，可能存在错误，请以论文正文为准。
