This repo contains the official implementation for the paper Hierarchical Classification Auxiliary Network for Time Series Forecasting.
How to Run the Code
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Install Python 3.6, PyTorch 1.9.0.
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Download data. You can obtain all the benchmarks from Google Drive (https://drive.google.com/drive/folders/1bG5kOK_CWWXyF6N6vAlfFzkXjmK7lanL). All the datasets are well pre-processed and can be used easily.
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Train the model. We will provide the experiment scripts of all benchmarks under the folder ./scripts. Now you can reproduce the experiment results by:
python run_long_Exp.py