bash setup.sh

python main.py train --train_data_path=<path_to_train_txt> --eval_data_path=<path_to_test_txt> --save_to=<path_to_model_output>

python main.py evaluate --eval_data_path=<path_to_test_txt> \
--model_path_coarse=<path_to_coarse_model> \
--model_path_coarse=<path_to_finegrained_model> \
--model_path_coarse=<path_to_coarse_baseline_model> \
--model_path_coarse=<path_to_finegrained_baseline_model>

 ./
 │   README.md
 │   present.ipynb
 │   requrements.txt
 │   setup.sh
 │   main.py # script to train/eval models
 └───config/
 │   │   config.py # model parameters
 └───data/
 │   │   train_5500.label.txt
 │   │   test_TREC_10.label.txt
 └───model/
 │   │   nb.py # a baseline naive bayes model
 │   │   embedding_lstm.py # a lstm model
 └───src/
 │   │   data.py # functions to load data
 │   │   word_embedding.py # functions for word embedding and cleaning