A simple implementation of LSTNet and an out-of-box way about:
- Modeling
- Forecasting
- Evaluating (RMSE and MAPE)
Note:
- Inspired by PatientEz/LSTNet_Keras. Used the same
pollution
dataset. - The original implementation of laiguokun/LSTNet used a normalization over the whole dataset, which is not standard. I normalized the training and test set separately.
Requirements:
matplotlib~=3.4.2
scikit-learn~=0.24.2
visdom~=0.1.8.9
numpy~=1.20.3
pytorch~=1.9.1
References: