This repo contains the official implementation for the paper Hierarchical Classification Auxiliary Network for Time Series Forecasting.
How to Run the Code
-
Install Python 3.6, PyTorch 1.9.0.
-
Download data. You can obtain all the benchmarks from Google Drive. All the datasets are well pre-processed and can be used easily.
-
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