TPA-LSTM
Original Implementation of ''Temporal Pattern Attention for Multivariate Time Series Forecasting''.
Dependencies
- python3.6.6
You can check and install other dependencies in requirements.txt.
$ pip install -r requirements.txt
# to install TensorFlow, you can refer to https://www.tensorflow.org/install/
Usage
The following example usage shows how to train and test a TPA-LSTM model on MuseData with settings used in this work.
Training
$ python main.py --mode train \
--attention_len 16 \
--batch_size 32 \
--data_set muse \
--dropout 0.2 \
--learning_rate 1e-5 \
--model_dir ./models/model \
--num_epochs 40 \
--num_layers 3 \
--num_units 338
Testing
$ python main.py --mode test \
--attention_len 16 \
--batch_size 32 \
--data_set muse \
--dropout 0.2 \
--learning_rate 1e-5 \
--model_dir ./models/model \
--num_epochs 40 \
--num_layers 3 \
--num_units 338