HiClass is an open-source Python library for local hierarchical classification entirely compatible with scikit-learn. It contains implementations of the most common design patterns for hierarchical machine learning models found in the literature, i.e., the local classifiers per node, per parent node and per level. Additionally, the package contains implementations of hierarchical metrics, which are more appropriate for evaluating classification performance on hierarchical data. The documentation includes installation and usage instructions, examples within tutorials and interactive notebooks, and a complete description of the API. HiClass is released under the simplified BSD license, encouraging its use in both academic and commercial environments. Source code and documentation are available at https://github.com/mirand863/hiclass.
翻译:Hisclass是一个开放源码的Python图书馆,用于地方等级分类,与Scikit-learn完全兼容,它载有文献中发现的最常见等级机器学习模式设计模式的实施,即按节点、按父节点和按级别分类的当地分类人员,此外,这套文件还载有更适合评价等级数据分类性能的等级衡量标准的实施,文件包括安装和使用指示、辅导和交互式笔记本中的示例,以及完整描述API。Hislass是根据简化的BSD许可证发放的,鼓励在学术和商业环境中使用,来源代码和文件见https://github.com/mirand863/hiclorm。