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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.

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osa-decentralized/forecastonishing

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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 .

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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.

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