iboraham / online_changepoint_detector

Online changepoint detection for time-series data - library for python

Welcome to CPFinder 👋

Online changepoint detection for python

🏠 Homepage

✨ Demo

Install

pip install cpfinder

Usage

python example.py

 ---

# Import libraries
>> from cpfinder import cpfinder
>> from cpfinder.datasets import generate_normal_time_series

# Example data
>> data = generate_normal_time_series(totalPartitions=3)

# Changepoint Detection
>> detector = cpfinder(data=data, method="bocpd")
>> detector.fit(animationFlag=True, interval=100, plotFlag=False)
>> print(detector.changepoints)

'''
[171, 1538]
'''

# You can save animation as gif
>> detector.saveAnimationVideo("assets/animation.gif")

Run tests

python tests

Author

👤 I.Onur Serbetci

• Website: kaggle.com/onurserbetci
• Twitter: @iboraham
• Github: @iboraham
• LinkedIn: @ionur-serbetci

🤝 Contributing

Contributions, issues and feature requests are welcome!
Feel free to check issues page.

Show your support

Give a ⭐️ if this project helped you!

📝 License

Copyright © 2021 I.Onur Serbetci.
This project is MIT licensed.

---

This README was generated with ❤️ by readme-md-generator