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Tslearn, A Machine Learning Toolkit for Time Series Data

Journal of machine learning research, 2020-01, Vol.21, p.1-6 [Peer Reviewed Journal]

Distributed under a Creative Commons Attribution 4.0 International License ;ISSN: 1532-4435 ;EISSN: 1533-7928

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  • Title:
    Tslearn, A Machine Learning Toolkit for Time Series Data
  • Author: Tavenard, Romain ; Faouzi, Johann ; Vandewiele, Gilles ; Divo, Felix ; Androz, Guillaume ; Holtz, Chester ; Payne, Marie ; Yurchak, Roman ; Russwurm, Marc ; Kolar, Kushal ; Woods, Eli
  • Subjects: Other Statistics ; Statistics
  • Is Part Of: Journal of machine learning research, 2020-01, Vol.21, p.1-6
  • Description: 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.
  • Publisher: Microtome Publishing
  • Language: English
  • Identifier: ISSN: 1532-4435
    EISSN: 1533-7928
  • Source: Hyper Article en Ligne (HAL) (Open Access)
    Alma/SFX Local Collection
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