HPDNorm

This repository includes a comprehensive experimental study on Heterogeneous Panel Data Normalization (HDPNorm) . It explores the impact of various normalization methods on Global Forecasting Models, employing both synthetic and real-world datasets.

Name		Name	Last commit message	Last commit date
datasets		datasets
pipeline		pipeline
.gitignore		.gitignore
AMPLITUDE_no_scaler.sh		AMPLITUDE_no_scaler.sh
AMPLITUDE_scaler.sh		AMPLITUDE_scaler.sh
EXP_REAL_DATA.py		EXP_REAL_DATA.py
EXP_SYN_DATA.py		EXP_SYN_DATA.py
HETEROSCEDASTICITY_no_scaler.sh		HETEROSCEDASTICITY_no_scaler.sh
HETEROSCEDASTICITY_scaler.sh		HETEROSCEDASTICITY_scaler.sh
OFFSET_no_scaler.sh		OFFSET_no_scaler.sh
OFFSET_scaler.sh		OFFSET_scaler.sh
README.md		README.md
REAL_WORLD_DATA.sh		REAL_WORLD_DATA.sh
STRUCTURAL_BREAKS_no_scaler.sh		STRUCTURAL_BREAKS_no_scaler.sh
STRUCTURAL_BREAKS_scaler.sh		STRUCTURAL_BREAKS_scaler.sh
TREND_no_scaler.sh		TREND_no_scaler.sh
TREND_scaler.sh		TREND_scaler.sh
Tutorial on installation.ipynb		Tutorial on installation.ipynb
Tutorial on real-world data.ipynb		Tutorial on real-world data.ipynb
Tutorial on synthetic data.ipynb		Tutorial on synthetic data.ipynb
WINDOW_BASED_scaler.sh		WINDOW_BASED_scaler.sh
__init__.py		__init__.py
installation.sh		installation.sh
requirements.txt		requirements.txt

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