# word2vec & scaler
EMBEDDING_SIZE = 300

# Models
NN_ARCHITECTURE = 'cnn'

# Training parameters
BATCH_SIZE = 64
NB_EPOCHS = 1

# Number of tokens to save from the abstract, zero padded
SAMPLE_LENGTH = 100
