1. Different kinds of models are stored in different directories which have the same name with corresponding models.
2. For example, GRU1L64 stands for bidirectional GRU with one layer and 64-dimensional hidden states.
3. There is no complex procedure, just use the command line: python3 filename.py.
4. Run EVA-* will directly evaluate the model on the training set using trained weight.
5. Run the files named after model will start to train the model from the very beginning.
6. "shuffle_list.npy" stored the information regarding how the dataset was split into training set, validation set and test set, so please don't delete them.
7. "Data" stores the data file.
8. "DeepLearning_data.h5" and "Traditional_data.h5" are processed data.