ruptures: change point detection in Python

Abstract

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.

References in corpus (2)

• Optimal detection of changepoints with a linear computational cost
• Large-Margin Metric Learning for Partitioning Problems

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