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2020 JMLR JMLR 2020

pyts: A Python Package for Time Series Classification

Abstract

pyts is an open-source Python package for time series classification. This versatile toolbox provides implementations of many algorithms published in the literature, preprocessing functionalities, and data set loading utilities. pyts relies on the standard scientific Python packages numpy, scipy, scikit-learn, joblib, and numba, and is distributed under the BSD-3-Clause license. Documentation contains installation instructions, a detailed user guide, a full API description, and concrete self-contained examples. [abs] [ pdf ][ bib ] [ code ] © JMLR 2020. (edit, beta)

🌉 Interdisciplinary Bridge — Data Science & Analytics and Machine Learning
🧭 Keyword Pioneer — software library
🐝 Cross-Pollinator — Artificial Intelligence, Data Science & Analytics, Deep Learning, Healthcare & Medicine, Machine Learning

Authors

Johann Faouzi , Hicham Janati

Topics

Machine Learning > Core Methods > Classification Data Science & Analytics > Methods > Time Series Analysis Machine Learning > Learning Types > Classification

Keywords

time series classification machine learning algorithm implementation python library software library python package
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