Instructions for use.

Use only with python >= 3.6

Instructions assume use of Python3

Clone the repository
(Optional) create a python >= 3.6 virtual env
run "pip install -r requirements.txt"
run "python input_processing.py Train"
- This will produce a 'dictionaries.p' and a train_dataset.p file
run "python cnn.py" or "cnn_w_attention.py" or "cnn_w_attention_fasttext.py" to train and save the model you are interested in.

Name		Name	Last commit message	Last commit date
Latest commit History 11 Commits
api		api
.gitignore		.gitignore
README.md		README.md
api_model_definition.py		api_model_definition.py
cnn.py		cnn.py
cnn_w_attention.py		cnn_w_attention.py
cnn_w_attention_fasttext.py		cnn_w_attention_fasttext.py
dictionaries.p		dictionaries.p
example.json		example.json
example_prediction.json		example_prediction.json
fasttext_build_dataset.py		fasttext_build_dataset.py
fasttext_train_data.txt		fasttext_train_data.txt
fasttext_train_skipgram.py		fasttext_train_skipgram.py
input_processing.py		input_processing.py
model_validation.py		model_validation.py
requirements.txt		requirements.txt
test.csv		test.csv
train.csv		train.csv
train_dataset.p		train_dataset.p
validation.csv		validation.csv