GBRT-for-TSF
July 6, 2021 ยท View on GitHub
This read me file describes the steps to run the code for "Do We Really Need Deep Learning Models for Time Series Forecasting?" paper.
Requirements*
- 1- numpy
- 2- pandas
- 3- XGBoost python library
- 4- scikit-learn
Datasets
Download the datasets and place them in the respective "Uni-" and/or "Multivariate" folders in the Data folder.
Runing files
To run any of the scripts it is required to check the "data_path" of the required file, then running command is
- python file_name e.g. "python xgboostWB_electricity.py"