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Tslearn, A Machine Learning Toolkit for Time Series Data

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.
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https://hal.inria.fr/hal-02883390
Contributor : Johann Faouzi <>
Submitted on : Monday, June 29, 2020 - 2:11:14 PM
Last modification on : Thursday, July 16, 2020 - 6:22:45 PM

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  • HAL Id : hal-02883390, version 1

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Romain Tavenard, Johann Faouzi, Gilles Vandewiele, Felix Divo, Guillaume Androz, et al.. Tslearn, A Machine Learning Toolkit for Time Series Data. Journal of Machine Learning Research, Microtome Publishing, 2020, 21, pp.1 - 6. ⟨hal-02883390⟩

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