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.
翻译:图书馆Scikit-fda是功能数据分析的Python软件包,为功能数据的表述、预处理和探索分析提供了一整套工具,该图书馆以Python的科学生态系统为基础,并被纳入Python的科学生态系统,特别是符合Scikit-learn应用程序编程界面,以便利用该软件包提供的机器学习功能:管道、模型选择和超分光计调等,Scikit-fda软件包已根据3Clause BSD许可证以免费和开放源码软件形式发行,供林业发展局社区提供意见,图书馆的广泛文件包括逐步辅导和使用的详细实例。