Metadata-Version: 2.1
Name: ruptures
Version: 1.0.5
Summary: Change point detection for signals, in Python
Home-page: UNKNOWN
Author: Charles Truong, Laurent Oudre, Nicolas Vayatis
Author-email: truong@cmla.ens-cachan.fr
License: BSD License
Download-URL: https://reine.cmla.ens-cachan.fr/c.truong/ruptures/repository/latest/archive.zip
Keywords: change point detection,signal segmentation,computer science,machine learning,kernel methods,time series
Platform: UNKNOWN
Classifier: Programming Language :: Python :: 3
Classifier: Operating System :: OS Independent
Classifier: Topic :: Scientific/Engineering :: Mathematics
Classifier: Intended Audience :: Science/Research
Classifier: License :: OSI Approved :: BSD License
Requires-Python: >=3
Requires-Dist: numpy
Requires-Dist: scipy
Provides-Extra: display
Requires-Dist: matplotlib ; extra == 'display'

Offline change point detection for Python.
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**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.


An extensive documentation is available `github.com/deepcharles/ruptures <https://github.com/deepcharles/ruptures>`_.

This version requires Python 3 or later.


