论文标题
Scikit-FDA：用于功能数据分析的Python软件包
scikit-fda: A Python Package for Functional Data Analysis
论文作者
论文摘要
库Scikit-FDA是用于功能数据分析（FDA）的Python软件包。它提供了一组全面的工具，用于表示功能数据的代表性，预处理和探索性分析。该图书馆建立在Python的科学生态系统中。特别是，它符合Scikit-Learn应用程序编程界面，以利用此软件包提供的机器学习功能：管道，模型选择和高参数调整等。 Scikit-FDA软件包已根据3条规定的BSD许可作为免费和开源软件发布，并符合FDA社区的贡献。该图书馆的大量文档包括分步教程和详细的使用示例。
The library scikit-fda is a Python package for Functional Data Analysis (FDA). It provides a comprehensive set of tools for representation, preprocessing, and exploratory analysis of functional data. The library is built upon and integrated in Python's scientific ecosystem. In particular, it conforms to the scikit-learn application programming interface so as to take advantage of the functionality for machine learning provided by this package: pipelines, model selection, and hyperparameter tuning, among others. The scikit-fda package has been released as free and open-source software under a 3-Clause BSD license and is open to contributions from the FDA community. The library's extensive documentation includes step-by-step tutorials and detailed examples of use.
