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pyts

swMATH ID: 35429
Software Authors: J. Faouzi; H. Janati
Description: pyts is a Python package dedicated to time series classification. It aims to make time series classification easily accessible by providing preprocessing and utility tools, and implementations of several time series classification algorithms. The package comes up with many unit tests and continuous integration ensures new code integration and backward compatibility. The package is distributed under the 3-clause BSD license.
Homepage: https://pyts.readthedocs.io/en/stable/
Dependencies: python
Related Software: tslearn; Seglearn; sktime; GitHub; Python; cesium; hmmlearn; Statsmodels; STUMPY; tsfresh; Numba; Scikit; SciPy; Banpei; ta; TA-Lib; surfboard; SigPy; PyRate; PyCBC
Referenced in: 1 Publication

Standard Articles

1 Publication describing the Software, including 1 Publication in zbMATH Year
pyts: a Python package for time series classification
Faouzi, Johann; Janati, Hicham
2020

Referenced in 1 Field

1 Computer science (68-XX)

Referencing Publications by Year