论文标题
Giotto-TDA：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
论文作者
论文摘要
我们介绍了一个Python库Giotto-TDA，该库将高性能拓扑数据分析与Scikit-Learn兼容API和最先进的C ++实现相结合。图书馆处理各种数据的能力植根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到了直观的绘制API的帮助。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。
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.
