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 (1)

• Large-Margin Metric Learning for Partitioning Problems

Cited by in corpus (3)

• Capturing Subdiffusive Solute Dynamics and Predicting Selectivity in Nanoscale Pores with Time Series Modeling
• P6: A Declarative Language for Integrating Machine Learning in Visual Analytics
• Change Point Detection by Cross-Entropy Maximization