def to_embeddings()

in tseval/embeddings.py [0:0]

• 9 lines of code
• 3 McCabe index (conditional complexity)

def to_embeddings(sentence):
    if 'EMBEDDINGS' not in globals():
        global EMBEDDINGS, WORD2INDEX
        print('Loading FastText embeddings...')
        EMBEDDINGS, WORD2INDEX = load_fasttext_embeddings(vocab_size=100000)
        print('Done.')
    sentence = sentence.lower()  # Fasttext embeddings are lowercase
    indexes = [WORD2INDEX.get(word, WORD2INDEX['<unk>']) for word in to_words(sentence)]
    return EMBEDDINGS[indexes]