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

Title:
giotto-tda: A Topological Data Analysis Toolkit for Machine Learning and Data Exploration.
Authors:
Tauzin, Guillaume1 GTAUZIN@PRONTONMAIL.COM, Lupo, Umberto2 UMBERTO.LUPO@GMAIL.COM, Tunstall, Lewis2 LEWIS.C.TUNSTALL@GMAIL.COM, Pérez, Julian Burella3 JULIAN.BURELLAPEREZ@HEIG-VD.CH, Caorsi, Matteo2 M.CAORSI@L2F.CH, Medina-Mardones, Anibal M.1 ANIBAL.MEDINAMARDONES@EPFL.CH, Dassatti, Alberto2 ALBERTO.DASSATTI@HEIG-VD.CH, Hess, Kathryn1 KATHRYN.HESS@EPFL.CH
Source:
Journal of Machine Learning Research. 2021, Vol. 22, p1-6. 6p.
Subject Terms:
*MACHINE learning, *DATA analysis, *SOURCE code, *PYTHON programming language, *C++
Database:
Academic Search Index

Weitere Informationen

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. [ABSTRACT FROM AUTHOR]