Metadata-Version: 2.1
Name: arimafd
Version: 1.4.1
Summary: Build librarry
Home-page: https://github.com/waico/arimafd
Author: Vyacheslav Kozitsin, Iurii Katser
Author-email: waico@waico.ru
License: MIT
Platform: UNKNOWN
Requires-Dist: numpy
Requires-Dist: pandas
Requires-Dist: sympy
Requires-Dist: sklearn
Requires-Dist: statsmodels

# About arimafd

Arimafd is a Python package that provides algorithms
for online prediction and anomaly detection. One of the
applications of this package can be the early detection
of faults in technical systems.



# Main Features


- Differentiation and integration of series including seasonal components
- Finding best hyperparametrs for ARIMA model
- Online forecasting based on ARIMA model
- Anomaly detection 
- Evaluating score of anomaly detection algorithms

# How to get it
The master branch on GitHub 

https://github.com/waico/arimafd


Binaries and source distributions are available from PyPi

https://pypi.org/project/arimafd/

# Get started

**Installation** through [PyPi](https://pypi.org/project/tsad): 

`pip install -U arimafd`

# License

MIT


