Skip to content
/ pySSA Public
forked from aj-cloete/pssa

Singular Spectrum Analysis for time series forecasting in Python

Notifications You must be signed in to change notification settings

ganik/pySSA

 
 

Repository files navigation

pySSA

Singular Spectrum Analysis for time series forecasting in Python

An example of the implementation of this code can be found in Singular Spectrum Analysis Example.ipynb.

I will update the list of references/credits at another time. The research of Nina Golyandina from Russia was invaluable in aiding my understanding of this method.

[update 4 April 2017] - Please note that the current version requires a pandas dataframe with a datetime formatted index for it to work. I will push an update soon to allow numpy array inputs.

Please feel free to fork the project and contribute!

About

Singular Spectrum Analysis for time series forecasting in Python

Resources

Stars

Watchers

Forks

Releases

No releases published

Packages

No packages published

Languages

  • Jupyter Notebook 98.4%
  • Python 1.6%