2021 JMLR JMLR 2021

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

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. [abs] [ pdf ][ bib ] [ code ] © JMLR 2021. (edit, beta)

🧭 Keyword Pioneer — data exploration
🐣 Hot Topic Early Bird — topological data analysis
🐝 Cross-Pollinator — Artificial Intelligence, Computer Science, Computer Vision, Data Science & Analytics, Deep Learning, Healthcare & Medicine, Interdisciplinary, Knowledge & Reasoning, Machine Learning, Mathematics & Optimization, Natural Language Processing, Reinforcement Learning, Robotics, Security & Privacy, Speech & Audio