giotto-tda: A Topological Data Analysis Toolkit for Machine Learning and Data Exploration
Machine Learning
2021-03-09 v2 Algebraic Topology
Machine Learning
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.
Cite
@article{arxiv.2004.02551,
title = {giotto-tda: A Topological Data Analysis Toolkit for Machine Learning and Data Exploration},
author = {Guillaume Tauzin and Umberto Lupo and Lewis Tunstall and Julian Burella Pérez and Matteo Caorsi and Wojciech Reise and Anibal Medina-Mardones and Alberto Dassatti and Kathryn Hess},
journal= {arXiv preprint arXiv:2004.02551},
year = {2021}
}
Comments
7 pages, 2 figures