XeniaLLL / HierST

The open-source implementation of the paper "HierST: A Unified Hierarchical Spatial-temporal Framework for COVID-19 Trend Forecasting"

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HierST

Source code for the paper, "HierST: A Unified Hierarchical Spatial-temporal Framework for COVID-19 Trend Forecasting", accepted by CIKM 2021.

Setup

  • Install CUDA 10.1
  • Run setup_py.sh to install necessary packages

Usage

cd src/
# pull data
python data_utils.py
# train models
python run_models.py --forecast_date 2021-10-24
# ensemble
python run_ensemble.py --forecast_date 2021-10-24
# check the output file, '../outputs/2021-10-24_forecasts.csv'

About

The open-source implementation of the paper "HierST: A Unified Hierarchical Spatial-temporal Framework for COVID-19 Trend Forecasting"

License:MIT License


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