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(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
1 maintainer
Metadata
1 maintainer
Release files for cpfinder 0.2.1
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| cpfinder-0.2.1.tar.gz | 12.6 kB | Details |
Release files / cpfinder-0.2.1.tar.gz
| Download URL | cpfinder-0.2.1.tar.gz |
|---|---|
| Size | 12.6 kB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
91a2c657a8cc246adbbcb2095dba0599ebef29fa8a857cd579fd4baee0625660
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| Uploaded via |
twine/3.4.2 importlib_metadata/4.5.0 pkginfo/1.7.0 requests/2.24.0 requests-toolbelt/0.9.1 tqdm/4.48.2 CPython/3.8.9
|
