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

• URL: http://arxiv.org/abs/2004.02551v2
• Date: Fri, 5 Mar 2021 19:05:57 GMT
• Title: giotto-tda: A Topological Data Analysis Toolkit for Machine Learning and Data Exploration
• Authors: Guillaume Tauzin, Umberto Lupo, Lewis Tunstall, Julian Burella P\'erez, Matteo Caorsi, Wojciech Reise, Anibal Medina-Mardones, Alberto Dassatti and Kathryn Hess
• Abstract summary: giotto-tda is a Python library that integrates high-performance topological data analysis with machine learning. The library's ability to handle various types of data is rooted in a wide range of preprocessing techniques.
• Score: 4.8353738137338755
• License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/
• Abstract: 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.

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