serengil / time-series

applying exponential smoothing methods on time series data

timeseries

This project includes implementations of several time series forecasting approaches such as Triple, Double and Single Exponential Smoothing.

Moreover, different metrics are calculated to evaluate the prediction success such as Mean Absolute Error and Correlation Coefficient.

Finally, non-linear sinus wave values are applied to forecast.

===== Usage

Run files located under the package "com.forecast.activity" to build forecasting.

======= License

Copyright 2016 Sefik Ilkin Serengil

This program is free software: you can redistribute it and/or modify it under the terms of the GNU General Public License as published by the Free Software Foundation, either version 3 of the License, or (at your option) any later version.

This program is distributed in the hope that it will be useful, but WITHOUT ANY WARRANTY; without even the implied warranty of MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the GNU General Public License for more details.

You should have received a copy of the GNU General Public License along with this program. If not, see http://www.gnu.org/licenses/.