Tslearn, A Machine Learning Toolkit for Time Series Data

Romain Tavenard; Johann Faouzi; Gilles Vandewiele; Felix Divo; Guillaume Androz; Chester Holtz; Marie Payne; Roman yurchak; Marc Russwurm; Kushal Kolar; Eli Woods

Journal articles

Tslearn, A Machine Learning Toolkit for Time Series Data

Romain Tavenard ^{1, 2} Johann Faouzi ^{3, 4} Gilles Vandewiele ⁵ Felix Divo ⁶ Guillaume Androz ⁷ Chester Holtz ⁸ Marie Payne ⁹ Roman yurchak ¹⁰ Marc Russwurm ¹¹ Kushal Kolar ¹² Eli Woods ¹³

1 LETG - Rennes - Littoral, Environnement, Télédétection, Géomatique

LETG - Littoral, Environnement, Télédétection, Géomatique UMR 6554

2 OBELIX - Observation de l’environnement par imagerie complexe

IRISA-D5 - SIGNAUX ET IMAGES NUMÉRIQUES, ROBOTIQUE

3 ICM - Institut du Cerveau et de la Moëlle Epinière = Brain and Spine Institute

4 ARAMIS - Algorithms, models and methods for images and signals of the human brain

SU - Sorbonne Université, Inria de Paris, ICM - Institut du Cerveau et de la Moëlle Epinière = Brain and Spine Institute

5 UGENT - Universiteit Gent = Ghent University [Belgium]

6 TU Darmstadt - Technische Universität Darmstadt

7 Icentia

8 UC San Diego - University of California [San Diego]

9 McGill University = Université McGill [Montréal, Canada]

10 Symerio

11 TUM - Technische Universität Munchen - Université Technique de Munich [Munich, Allemagne]

12 Sars International Centre for Marine Molecular Biology

13 Eaze

Abstract : tslearn is a general-purpose Python machine learning library for time series that offers tools for pre-processing and feature extraction as well as dedicated models for clustering, classification and regression. It follows scikit-learn's Application Programming Interface for transformers and estimators, allowing the use of standard pipelines and model selection tools on top of tslearn objects. It is distributed under the BSD-2-Clause license, and its source code is available at https://github.com/tslearn-team/tslearn.

Keywords : Clustering Time series Classification Data mining Pre-processing

Document type :

Journal articles

Domain :

Statistics [stat] / Other Statistics [stat.ML]

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https://hal.inria.fr/hal-02883390
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Submitted on : Monday, June 29, 2020 - 2:11:14 PM
Last modification on : Wednesday, June 8, 2022 - 12:50:07 PM

Tslearn, A Machine Learning Toolkit for Time Series Data

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