This repository implements the common methods of time series prediction, especially deep learning methods in TensorFlow2. It's welcomed to contribute if you have any better idea, just create a PR. If any question, feel free to open an issue.
$ pip install -r requirements.txt
$ sh ./data/download_passenger.sh
custom_model_paramsif you want (refer to params in
./tfts/models/*.py), and pay attention to feature engineering.
$ cd examples $ python run_train.py --use_model seq2seq $ cd .. $ tensorboard --logdir=./data/logs
$ cd examples $ python run_test.py