Skip to content

An adaptive selector for short-term forecasting of multiple time series. For each time series, it finds the best method from a pool of candidates based on their past performance.

License

Notifications You must be signed in to change notification settings

osahp/forecastonishing

Folders and files

NameName
Last commit message
Last commit date

Latest commit

 

History

77 Commits
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 

Repository files navigation

Build Status codecov Maintainability

forecastonishing

What is it?

This repo contains easy-to-use tools for forecasting. Currently, the list of provided utilities consists of:

  • On-the-fly selector, an adaptive selector that can leverage abilities of robust, yet extremely simple methods such as moving average. More details can be found in a tutorial;
  • Some auxiliary classes and functions that can make forecasting easier.

How to install the package?

To install the package in a virtual environment named your_virtual_env, run this from your terminal:

cd path/to/your/destination
git clone https://github.com/osahp/forecastonishing
cd forecastonishing
source activate your_virtual_env
pip install .

About

An adaptive selector for short-term forecasting of multiple time series. For each time series, it finds the best method from a pool of candidates based on their past performance.

Topics

Resources

License

Stars

Watchers

Forks

Releases

No releases published

Packages

No packages published

Languages