ruptures: change point detection in Python. ruptures is a Python library for offline change point detection. This package provides methods for the analysis and segmentation of non-stationary signals. Implemented algorithms include exact and approximate detection for various parametric and non-parametric models. ruptures focuses on ease of use by providing a well-documented and consistent interface. In addition, thanks to its modular structure, different algorithms and models can be connected and extended within this package.
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References in zbMATH (referenced in 3 articles )
Showing results 1 to 3 of 3.
- Julien Siebert, Janek Groß, Christof Schroth: A systematic review of Python packages for time series analysis (2021) arXiv
- Arlot, Sylvain; Celisse, Alain; Harchaoui, Zaid: A kernel multiple change-point algorithm via model selection (2019)
- Charles Truong, Laurent Oudre, Nicolas Vayatis: ruptures: change point detection in Python (2018) arXiv