This repo implements the common methods of time series prediction, especially with deep learning in TensorFlow 2. It's highly welcomed to contribute if you have better idea, just create a PR. If any question, feel free to open an issue.
- Install the library
pip install -r requirements.txt
- Download the data, if necessary
bash ./data/download_passenger.sh
- Train the model
cd examples
python run_train.py --use_model seq2seq
set your own model parameters, just set custom_model_params
according to each model's params
- Predict new data
python run_test.py
https://github.com/awslabs/gluon-ts/
- LongxingTan