# word2vec & scaler
EMBEDDING_SIZE = 100

# Cores to use while fitting word2vec vectors
WORD2VEC_WORKERS = 4
MIN_WORD_COUNT = 5
WORD2VEC_CONTEXT = 5

# Models
NN_ARCHITECTURE = 'cnn'

# Training parameters
BATCH_SIZE = 64
EPOCHS = 1

# Number of tokens to save from the abstract, zero padded
SAMPLE_LENGTH = 200