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arXiv 2004.02551cs.LGmath.ATstat.ML
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giotto-tda：一个用于机器学习和数据探索的拓扑数据分析工具包

giotto-tda: A Topological Data Analysis Toolkit for Machine Learning and Data Exploration

INAIT SA（INAIT公司）；Laboratory for Topology and Neuroscience, EPFL（洛桑联邦理工学院拓扑与神经科学实验室）；Laboratory of Computational Biology and Theoretical Biophysics, EPFL（洛桑联邦理工学院计算生物学与理论生物物理学实验室）；L2F SA（L2F公司）；School of Management and Engineering Vaud, HES-SO, University of Applied Sciences Western Switzerland（瑞士西部应用科学大学瓦德管理与工程学院）；DataShape, Inria Saclay – Île-de-France（法国国家信息与自动化研究所萨克雷-法兰西岛数据形状团队）

Guillaume Tauzin, Umberto Lupo, Lewis Tunstall, Julian Burella Pérez, Matteo Caorsi, Wojciech Reise, Anibal Medina-Mardones, Alberto Dassatti, Kathryn Hess

备注：
7 pages, 2 figures
发表信息：
NeurIPS 2020 workshop "Topological Data Analysis and beyond" (https://openreview.net/forum?id=fjQtZJOCTXf); JMLR 22 (https://www.jmlr.org/papers/v22/20-325.html)
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摘要：

我们介绍了giotto-tda，这是一个Python库，通过scikit-learn兼容的API和最先进的C++实现将高性能拓扑数据分析与机器学习集成在一起。该库处理各种类型数据的能力源于广泛的预处理技术，其对数据探索和可解释性的强烈关注得益于直观的绘图API。源代码、二进制文件、示例和文档可以在https://github.com/giotto-ai/giotto-tda上找到。

英文摘要：

We introduce giotto-tda, a Python library that integrates high-performance topological data analysis with machine learning via a scikit-learn-compatible API and state-of-the-art C++ implementations. The library's ability to handle various types of data is rooted in a wide range of preprocessing techniques, and its strong focus on data exploration and interpretability is aided by an intuitive plotting API. Source code, binaries, examples, and documentation can be found at https://github.com/giotto-ai/giotto-tda.

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。

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