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.
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 .